.2411 human: .11 “a . I 3.0%er . 33%. ”NW... ‘9me . .. fluid“; 3. u. . . .cl... urn» ._ “may a - . .5613... Quanta}. a" ‘3 $3.1“:le 4s!!! 1...». If)... 1 .{ltsltnofl 90’0”? LIBRARY Michigan State University This is to certify that the dissertation entitled CLONING AND EXPRESSION OF A BACTERIAL CGTASE AND IMPACTS OF TRANSGENIC PLANTS ON PHYTOREMEDIATION OF ORGANIC POLLUTANTS presented by SARAH J. KINDER has been accepted towards fulfillment of the requirements for the degree In prop and Soil Sciences Wfle/A/ V Méjor Proféssor’s/Signature 444/ 3/, 2007- / 7 Date MSU is an afinnative-adion, equal-opportunity employer PLACE IN RETURN BOX to remove this checkout from your record. To AVOID FINES return on or before date due. MAY BE RECALLED with earlier due date if requested. DATE DUE DATE DUE DATE DUE 6/07 p:/ClRCIDateDue.indd—p.1 CLONING AND EXPRESSION OF A BACTERIAL CGTASE AND IMPACTS OF TRANSGENIC PLANTS ON PHYTOREMEDIATION OF ORGANIC POLLUTANTS By Sarah J Kinder A DISSERTATION Submitted to Michigan State University In partial fulfillment Of the requirements For the degree Of DOCTOR OF PHILOSOPHY Department of Crop and Soil Sciences 2007 ABSTRACT CLONING AND EXPRESSION OF A BACTERIAL CGTASE AND IMPACTS OF TRANSGENIC PLANTS ON PHYTOREMEDIATION OF ORGANIC POLLUTANTS By SARAH J KINDER One of the major limitations to biological remediation Of persistent organic pollutants is water insolubility and the lack of bioavailability. Surfactants can be used to overcome the limitations on contaminant water solubility for improved biological degradation. Addition of surfactants to soil can be expensive and result in bacterial toxicity. Most surfactants, require a minimum concentration for effectiveness, the critical micelle concentration. Similar in properties to surfactant micelles, cyclodextrins are functional at any concentration due to the toroidal shape of individual molecules, creating a hydrophobic cavity and a hydrophilic exterior. Cyclodextrins can accommodate hydrophobic compounds within the hydrophobic cavity, forming a complex that can improve the water solubility of the “guest” molecule. Cyclodextrins are formed from the degradation of starch by Cyclodextrin Glycosyl Transferase (CGTase, Cgt) secreted into the environment by various Bacillus species. We have cloned a novel cgt gene from Paenibacz'llus sp. strain C36, PI-cgt. Enzymatic studies showed Escherichia coli strains harboring PI-cgt produced quantifiable amounts of BCD in solution. PI-cgt was transformed into the plant species tobacco and Arabidopsis, resulting in transgenic plant lines, which are also capable of degrading starch and producing quantifiable amount of BCD. AS a test of transgenically produced CDS, Cgt plants were tested for phytoremediation of contaminated soils containing polyaromatic hydrocarbons (PAHS) or polychlorinated biphenyls (PCBS). Starch treated transgenic tobacco showed a significant reduction of the highest molecular weight PAH compound, Benzo[ghi]perylene (BGHP) when compared to untreated, unplanted and wild type treatments. Results from PCB - studies and total PAHs were inconclusive for Cgt-plants, with multiple treatments, including unplanted, showing significant reductions when compared to untreated soil. Overall, the results showed that Cgt-plants are capable of producing CD3 and Cgt-plants can have a positive effect on phytoremediation of some organic pollutants. AKNOWLEDGEMENTS Firstly I would like to thank my advisor Dr. Clayton Rugh, for his help, humor and patience, through my course of study and in finishing this dissertation. I would also like to thank the other members of my committee, Dr. Tiedje for helpful advice, use of his laboratory facilities and emergency reagent borrowing. I would also like to thank Dr. Smucker for his words of advice and encouragement and Dr. Gifford for advice, suggestions and help with certain aspects of chapter 4 especially. Outside of my committee I would like to thank Dr. Voice for allowing me to use his laboratory facility for PCB analysis. Dr. John Davis, Dr. Quensen, John Davis, Chris Saffron and Theresa Cox for helping me learn and troubleshoot the HPLC and CC for contaminant analysis. I would like to thank all of my lab mates co—workers and friends for help in media preparation, sample analysis, and friendship: Endang Susilawati, Rachada Settavongsin, Michael Roberts, Andrew Bender, Danielle Abshagen, and Kevin Christ. My research was supported by a variety of grants and institutions. For the first three years I was supported by a USDA-National Needs Fellowship for the training of scientists in communication with the public concerning the risks and benefits of plant biotechnology. The Ford Motor Company, US EPA STAR —HSRC, MAES, MSU Center for Microbial Ecology, MSU Office of Diversity and Pluralism and the Graduate School’s Dissertation Completion Fellowship, also supported me for various lengths of time during my studies. I would also like to thank my family members, especially my husband Douglas MacDonald who aside from emotional and financial support, was willing to come into the iv laboratory and help me finish my last samples. I would also like to thank my parents and grandparents for their advice, support and visits to the lab for general encouragement and questions. I also thank the Lord for giving me the opportunity to learn so much from those around me and enjoy the company of so many wonderful people during my Ph.D. program, and the providence of my various forms of financial support. I thoroughly enjoyed my studies at MSU and hope that they will enable me to continue learning in new and exciting ways. TABLE OF CONTENTS PAGE LIST OF TABLES ................................................................................. viii LIST OF FIGURES ................................................................................. ix INTRODUCTION ................................................................................... 1 REVIEW OF LITERATURE ....................................................................... 5 Environmental Contamination ............................................................. 5 Organic Chemical Pollutants ............................................................... 6 Soil and Pollutant Interaction ............................................................. 10 Soil Remediation ........................................................................... 12 Biotic Soil Pollutant Interactions ......................................................... 13 Phytoremediation ........................................................................... 17 Bioengineered Rhizosphere Phytoremediation ......................................... 18 Limitations on Phytoremediation ......................................................... 20 Summary and Conclusion ................................................................. 25 Literature Cited ............................................................................. 27 CHAPTER 1. CLONING AND CHARACTERIZATION OF THE CYCLODEXTRIN GLYCOSYLTRANSFERASE FROM PAENIBA CILL US SP. STRAIN C36 .......................................... 38 Introduction ................................................................................. 38 Materials and Methods ..................................................................... 40 Results ....................................................................................... 47 Discussion ................................................................................... 60 Conclusion .......................................................................... ' ........ 63 Literature Cited ............................................................................. 65 CHAPTER 2. PLANT EXPRESSION OF BACTERIAL CYCLODEXTRIN GLYCOSYLTRANSFERASE FOR CYCLODEXTRIN PRODUCTION ............................................ 69 Introduction .................................................................................. 69 Materials and Methods ..................................................................... 72 Results ....................................................................................... 82 Discussion ................................................................................... 91 Conclusion .................................................................................. 93 Literature Cited ............................................................................. 95 vi CHAPTER 3. EFFECT OF CYCLODEXTRIN GLYCOSYL TRANSFERASE EXPRESSING PLANTS ON THE REMEDIATION OF PAHS AND PCBS ........................................................................ 98 Introduction ................................................................................. 98 Materials and Methods ................................................................... 104 Results and Discussion .................................................................. 109 Conclusion ................................................................................. 120 Literature Cited ........................................................................... 123 CHAPTER 4. IS PHYTOREMEDIATION SAFE? A COMPARISON OF RISKS AND MANAGEMENT STRATEGIES OF PLANT-BASED ENVIRONMENTAL REMEDIATION TECHNOLOGIES AND THEIR ENGINEERING-BASED COUNTERPARTS .............................. 128 Introduction ................................................................................ 128 Risk Assessment and Risk management ............................................... 129 Risks and Benefits from Standard Remediation Technologies ..................... 130 Risks and Benefits from Phytoremediation ........................................... 131 Is Phytoremediation Safe? ............................................................... 143 Conclusion ................................................................................. 146 Literature Cited ........................................................................... 148 vii LIST OF TABLES PAGE Table 1.1. Source organisms and references for CGTases included in Figure 1.1, and 1.2 ....................................... 52-53 Table 2.1a. Selective marker segregation analysis for T2 generation tobacco seeds .......................................................... 83 Table 2.1b. Selective marker segregation analysis for T2 generation Arabidopsis seeds ..................................................... 83 Table 2.2a. Gene integration, expression, function summary of Tobacco lines ............................................................ 89 Table 2.2b. Gene integration, expression, function summary of Arabidopsis .............................................................. 89 Table 3.1. Percentage of relative concentration of each of the individual PAH compounds in reference to the total PAH content of the soil ................................. 106 Table 4.1. Summary of Accepted Remediation Technologies and Associated Potential Risks ..................................................... 132 Table 4.2. Summary of Phytoremediation Technologies and Associated Potential Risks ...................................................... 142 Table 4.3. Direct comparison of exposure based risks from remediation technologies ................................................ 144-145 viii LIST OF FIGURES PAGE Figure 1.1. Evolutionary phylogram comparison of Cgts to PI-Cgt ........................... I Figure 1.2. Alignment of CGTases ............................................................... 52 Figure 1.3. The predicted PI-cgt signal sequence ............................................... 54 Figure 1.4. Bacterial clear-zone formation ....................................................... 55 Figure 1.5. Typical standard curve for colorimetric analysis of [3CD using phenolphthalein ........................................................................ 57 Figure 1.6. Temperature optimum determination for P. Sp. C36 .............................. 57 Figure 1.7. CGTase Kinetic reaction Showing [3CD production over time .................. 59 Figure 1.8. Thin layer chromatography analysis ofCDs by CGTase producing bacteria ....................................................... 59 Figure 2.1. Diagram of the pAPC9K and pCAMBIA 1300 cloning vectors ................ 73 Figure 2.2. Clear zone formation by cgt-arabidopsis ........................................... 85 Figure 2.3a. RT-PCR ofArabidopsis lines ...................................................... 86 Figure 2.3b. RT—PCR of tobacco lines ............................................................ 86 Figure 2.4. Production of BCD by Arabidopsis seedlings as shown by colorimetric assay ....................................................... 88 Figure 2.5. TLC analysis of plant-produced cyclodextrins .................................... 90 Figure 3.1. tPAH content of soil from PAH Soil Cgt-Phytoremediation treatments .................................................. 1 10 Figure 3.2. Benzo[ghi]perylene (BGHP) content of soil PAH Soil Cgt-Phytoremediation treatments .............................................................................. 111 Figure 3.3. Napthalene content of soil PAH Soil C gt-Phytoremediation treatments .................................................. 1 12 ix Figure 3.4. Plant dry biomass from soil PAH Soil C gt-Phytoremediation treatments .................................................. 1 13 Figure 3.5. PCB content of soil from PCB Soil Cgt-Phytoremediation treatments .................................................. 1 16 Figure 3.6. Biomass of Arabidopsis shoot tissues in PCB Soil Cgt-Phytoremediation treatments .................................................. 1 19 Figure 3.7. Percentage change in soil PCB content from spiked PCB Soil C gt-Phytoremediation treatments as compared to untreated control .......... 119 Figure 3.8. Tobacco fresh and dry biomass in spiked PCB Soil Cgt-Phytoremediation treatments .............................................................................. 121 INTRODUCTION Environmental contamination by organic pollutants is a pervasive and important threat to the biosphere. Organic pollutants typically originate due to spillage and intentional release of industrial, agricultural or waste products. Once in the environment organic compounds can cause environmental damage, more directly through mutagenicity or indirectly though the disruption of physiological processes. The problem of organic contaminants in soil has been addressed in the past through a wide variety of methods based around engineering technologies, such as physical soil removal, chemical reactions and stabilization. Physical and chemical technological solutions to polluted land, known as remediation, have been joined by biologically based technologies such as bioremediation, which is using bacteria to decompose or stabilize toxic soil contaminants. Phytoremediation, or the use of plants to degrade or render contaminants harmless, has recently gained favor as a viable technological alternative to engineering and bioremediation installations. One major property of many organic contaminants that acts as a powerful barrier to remediation technologies that attempt to remove or destroy organic contaminants within soil, is the very low water solubility and bioavailability of many organic contaminants. Organic pollutants are chemically similar to soil organic matter and tend to partition to, essentially dissolving in the organic fraction of soil. Bound organic contaminants can be nearly inert to biological methods of degradation and removal but may still cause environmental harm via slow loss from soil or direct soil consumption by biota. One proposal to help solve the difficulty in removal of organic contaminants from soil, is the use of surfactant or surface active agents on soil to help solubilize organic contaminants. Surfactants are molecules with a hydrophilic “head” and a hydrophobic “tail” portion, enabling the hydrophobic portion of the molecule to associate with contaminant molecules, bringing them into the aqueous phase. However, surfactant molecules are not without problems, they are capable of enhancing biological degradation of organic pollutants. However, surfactants can also cause toxic effects on bacteria capable of biodegradation. Biologically based surfactants or biosurfactants are thought to be a more environmentally friendly, less toxic alternative to synthetic surfactants. Although not a true biosurfactant, one compound stands out as a potential enhancer of biological soil remediation, cyclodextrin. Cyclodextrins (CDs) have similar properties to surfactant micelles and are formed by bacteria. The enzyme CGTase is secreted into the soil by microbes, which acts on available starch molecules forming CD5. CDs are cyclic molecules usually composed of 6-8 glucose units. The hydroxyl groups of cyclodextrins face towards the exterior of the molecule giving cyclodextrins a hydrophilic exterior while the interior remains largely hydrophobic. This property, in common with surfactant micelles, allows the inclusion of hydrophobic compounds inside of the doughnut-shaped molecule, forming a complex. CD complexes can make hydrophobic pollutants more available for both bacterial and plant degradation, speeding up the process of contaminant removal. The objectives of this project are four-fold: I. Isolate, clone and characterize a bacterial cyclodextrin glycosyl transferase II. To create transgenic plants which are capable of secreting CGTase and forming cyclodextrin III. Testing transgenic plants for improvements in biological degradation of persistent organic pollutants. IV. Examination of the safety of phytoremediation as a whole, in comparison to standard engineering based remediation practices. In this project we isolated and cloned a novel CGTase from Paem'bacillus sp. strain C3 6. This CGTase was sequenced and compared to known CGTases through different software programs, direct comparison, analysis of signal peptides. The bacterial cgt gene was minimally modified for bacterial and plant expression using PCR based techniques. Escherichia coli DHSOL was used as the bacterial expression system. Assays were performed using the E. coli cgt, and P. sp. C36 to determine optimal reaction temperature, quantitative BCD production and qualitative CD production. PI-cgt was placed into a plant expression cassette, containing a plant functional promoter and terminator sequence. Plant constructs were used to generate transgenic plants, both tobacco and Arabidopsis, which were screened for gene integration, cgt expression, starch clearing and CD production using similar methods to those used in testing bacterial expression. These plants were then used in experiments with the hydrophobic contaminants, polychlorinated biphenyls (PCBS) and polyaromatic hydrocarbons (PAHS). Chronically contaminated soil as well as spiked soils, were used to test the effectiveness Of cgt-expressing plants. Some of the soils were starch treated to aid in the in-situ production of CD5. Soils were tested for contaminant content after treatment and plants were weight for biomass production. Promising results were seen in the degradation of some contaminants. AS an additional aspect of phytoremediation technology, the safety of phytoremediation technology as a whole was also examined in comparison to standard engineering remediation technologies. The varying and unique risks posed by each were compared and contrasted. Attention was given to transgenic phytoremediation and special risks that are presented by the use of transgenic plants in phytoremediation. A comparison of standard engineering based technologies to their individual phytoremediation counterparts was performed. The ultimate determination of “safety” of phytoremediation technologies was made based on comparison to the existing, accepted engineering technologies. REVIEW OF LITERATURE Sarah Kinder Department of Crop and Soil Sciences Michigan State University Environmental Contamination Anthropogenic environmental pollution is as old as civilization; human and livestock nutrient waste has long polluted rivers and streams, rudimentary metalworking by post-agrarian cultures released toxic metals, and more recently, the industrial revolution rapidly disbursed a vast array of mined and manufactured pollutants. Fossil fuel processing and combustion has caused widespread, persistent impacts to land surface and air quality. Synthetic organic chemistry advances of the 20‘h century resulted in versatile new chemical products, though also a variety of novel ecotoxicological pollutants. The discovery of unintended effects of manmade organic compounds like polychlorinated biphenyls (PCBS) was largely accidental (Jensen, 1972) and in the United States, led to various regulations such as the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) (EPA, 2006). These policies are typically called the Superfund and the Clean Water and Air Act and were enacted to reduce ongoing anthropogenic pollution of the environment and force cleanup of existing polluted sites. Despite laws enacted for the prevention and cleanup, soil and sediment contamination continues to be a common and often persistent problem in many areas of the world, with the United States alone harboring 1,303 contaminated Sites on the National Priorities List (N PL) and an estimated 450,000 low level or potentially contaminated sites called brown fields (EPA, 2006). Around the world, contaminated sites persist and continue to propagate as the rate of industrialization and modernization rapidly accelerates in the world’s developing nations. Due to the human and wildlife health hazards posed by environmental contamination, considerable research has been performed to develop effective methods of cleaning polluted soils, sediments and waterways. This review will discuss the nature and interaction of various pollutants with soils, challenges to their remediation, methods of engineering- and biologically-based remediation, and various approaches to improve biological remediation. Organic Chemical Pollutants The ecotoxicity of organic chemicals is dependent on contaminant level, rate of organismal uptake and retention, mechanism of dispersal, and environmental persistence. Some environmental contaminants such as low molecular weight hydrocarbons can be easily degraded or dissipated with little opportunity for biological exposure. Alternatively, chlorinated organic compounds like polychlorinated biphenyls (PCBS) persist in the environment for long periods of time and, even though not acutely toxic, pose widespread biological risk. Due to variation in contaminant biochemical properties, toxicant presence is not synonymous with biological risk: there must be a route of exposure. Contaminants that are tightly bound to the soil matrix may be relatively stable and inaccessible to potential receptor organisms. Hydrophobic organic contaminants and relatively immobile metals such as lead are unlikely to leach to groundwater. More mobile pollutants, such as water-soluble organic compounds and less stably complexed metals, may increase potential risk if conditions favor contaminant leaching. Even if pollutants are tightly bound to soil, the particles themselves may be moved by wind or water, thus dispersing the pollutants. If humans or animals ingest soil, direct absorption of contaminant molecules from the soil matrix can occur. Other routes of exposure include, direct contact, inhalation, and through contaminated food stocks. Environmental contaminants are generally grouped into two major classes, organic and inorganic contaminants, with organic compounds being broken into many distinct categories based on their chemical properties. Since the focus of this project is on organic chemicals, these compounds will be the primary focus of this review. Persistent organic pollutants (POPS) include DDT, aldrin, dieldrin, endrin, chlordane, heptachlor, toxaphene, hexachlorobenzene, mirex, PCBS, dioxin, and furans according to the United Nations Environmental Programme (Rodan et al., 1999). POPS can cause considerable environmental problems even at very low concentrations due to a combination of environmental persistence and lipophilicity. POP compounds can be incorporated into the fatty tissues of an organism, where they are typically too hydrophobic to be excreted except at very low levels (Connolly and Glaser, 2002). At only a few parts per million, strongly lipophilic contaminants that incorporate into small organisms will be magnified through each trophic transfer. Eventually, at high trophic levels in apex predators, such as eagles, the toxicological effects become detrimental (Kumar et al., 2002). POPS in oceanic and riverine food chains are thought to be partially responsible for population declines in many marine mammals via immune and reproductive system impairment (Barron et al., 2003; Bitman and Cecil, 1970; Colbom et aL,1993) Aromatic and aliphatic pollutants include petroleum-based compounds often grouped as total petroleum hydrocarbons (TPHs). TPHs typically possess a range of hydrophobicity, toxicity, and biodegradability characteristics in parallel with increasing molecular weight. TPH compounds are classified by nomenclature and distillation fractions as the lighter weight gasoline-type fractions of benzene, toluene, ethylbenzene, and xylene (BTEX), heavier oils, tar and polyaromatic hydrocarbon compounds (PAH). PAHS are created naturally from incomplete burning of organic materials as well as anthropogenically from industrial processes, such as hydrocarbon burning and coal processing (Wilson and Jones, 1993). High molecular weight PAHS, such as benzo[a]pyrene, are considered carcinogenic and genotoxic (Alexander et al., 2002; Brown et al., 1999). Photomodification may produce oxygenated radicals from PAH molecules, which can react with biological molecules such as DNA (Mallakin et al., 2002) POPS also include synthetically created pesticides, explosives and assorted compounds used as dielectric fluids, fire retardants, and solvents. One group of POP synthetic compounds is halogenated organic compounds, which contain chlorine, bromine or fluorine bonded to carbon atoms in place of hydrogen. Halogenated aromatic compounds include polychlorinated biphenyls (PCBS), polybrominated biphenyls (PBBS), dichlorodiphenyltrichloroethane (DDT), polychlorinated dibenzofurans (PCDF S) and polychlorinated dibenzodioxins (PCDDS). PCBS were used primarily in electrical transformers and capacitors, carbonless copy paper, paint, plastics and flame retardant materials. PCBS have been shown to possess carcinogenic and estrogenic properties (Safe, 1989). DDT was among the most wide used synthetic pesticides seeing resulting in unforeseen environmental impacts, such as thinning of bird eggshells (Blus, 1984). POPS, such as PCBS and DDT, persist for many decades in soils and sediments, long after the manufacture and sale of the substances were banned (Erickson, 1993). PCBS and other chlorinated organics are ubiquitous in global distribution, being detected in pristine environments due to volatilization and atmospheric transport (Atlas and Giam, 1981; Risebrough et al., 1968). PCBS, PBBS, PCDDS and PCDFS are mixtures of aromatics compounds with varying chlorination, however only PCBS and PBBS were intentionally synthesized. PCDDS and PCDFS are unintended by products of combustion, pesticide manufacture and are contaminants of concern at 130 sites on the USEPA National Priorities List as of 2006 (EPA, 2006). One PCDD congener, 2,3,7,8- tetrachlorodibenzene-para-dioxin, is thought to be one of the most toxic organic compounds known (Steenland et al., 2004). Chlorinated aliphatic compounds, like trichloroethylene (TCE) and tetrachlorothylene (PCE), are common groundwater contaminants. Chlorinated aliphatics, like most chlorinated organic compounds, are chemically stable and persistent in the environment, more so as the degree of chlorination increases. TCE and PCB are biological harmful compounds, though may be converted to more toxic vinyl chloride by bacterial processes (Nelson, 1988). Nitroaromatic compounds (NACs), e. g. trinitrotoluene (TNT), cyclotetramethylene-tetranitramine (HMX) and cyclotrimethylenetrinitramine (RDX), are primarily used as explosives, though also as dyes and pesticide intermediates. Environmental contamination from NACS results from manufacture or distribution of unexploded residuals during detonation. Nitroaromatics are directly toxic, though are also harmful at trace levels via oxidative DNA damage (Homma-Takeda et al., 2002). Soil and Pollutant Interaction Soil is a complex physicochemical medium with highly dynamic influences on contaminant fate. Soils are composed of highly varied mineral and organic fractions with large proportions of water and air. Mineral fractions are typically size-classed from largest to smallest as sand, silt and clay, respectively. Chemical composition of the mineral portion of soil includes silica and aluminum oxides arranged in ordered crystalline forms (Dragun, 1998). Soil texture consists of many larger scale structural elements, such as aggregates, cracks and old root tunnels, each of which influences water and air flow. The ratio of soil air space to soil hydration influences mechanical aspects of the soil, such as plasticity. Soil organic matter (SOM) has complex chemical composition and generally serves as the major sorption/partitioning matrix for organic pollutants. Under the International Humic Substances Society Standard, soil organic matter is composed of several fractions, including fulvic acid, humic acid and humin. SOM fractions are largely defined by their extractability. Humin is the acidic, neutral and alkaline insoluble fraction. Fulvic acid is readily soluble in water at neutral pH. Humic acid is only soluble in high pH conditions. Fulvic and humic acid are more labile than humin and turn over more rapidly in the soil (Mobed et al., 1996). Organic compounds, such as PAHS and PCBS, partition to soil organic fractions due to their chemical affinity, becoming largely unavailable for microbial biodegradation. Very hydrophobic organic compounds partition to humin more strongly than the other SOM fractions due to the 10 Similarity in chemical composition (Petruzzelli et al., 2002). Once sorbed to soil organic matter, pollutants may be retained almost indefinitely with extremely slow transfer to the aqueous phase. Permanent binding to soil organic matter, often called irreversible sorption, occurs possibly by covalent linking to SOM molecules. However, irreversibly bound contaminant molecules may be released during decomposition of organic matter by SOM-degrading microbes (Reemtsma et al., 2003). Water-soluble contaminants may be held within soil pore water or temporarily bound by charged particles such as clays. Some nitroaromatic explosives interact very specifically with certain types of clay (Haderlein et al., 1996). Nearly neutral nitroaromatic compounds (e.g. dinitrotoluene) can be held between smectite clay interlayers in spacing geometries created by the hydration spheres of associated ions such as cesium or potassium. The larger hydration spheres of ions such as calcium and magnesium cause clay layer spacing to increase such that inclusion of nitroaromatics is no longer favorable and the compounds are released into the aqueous phase (Li et al., 2004). Other charged compounds and ions may also be held onto the surface or in- between negatively charged clay layers (Colbom et al., 1993). Nanopores in the soil mineral fraction also sequester hydrophobic pollutants, where they may be inaccessible for microbial bioremediation due to lack of space for microbial entry or growth (Sun et aL,2003) In addition to the solid soil phase, soil vapor is important for contaminant fate in that it supplies oxygen and other gases for biotic and abiotic chemical reactions. The soil vapor phase is typically in equilibrium with the liquid phase in porespaces between solid 11 soil particles. Volatile contaminants may escape from soil to react with other compounds while in the gaseous state. Soil Remediation Conventional Remediation Technologies In most contaminated sites, engineering based approaches are used to remediate hazardous contaminants. Engineering based remediation largely focuses only on either removing or destroying either the contaminants or the soil that contains them. The most common of these practices is excavation or removal of contaminated soil for off Site burial or disposal. Excavation and re-burial of contaminated soil can be extremely expensive and labor intensive with costs usually in the range Of $270 to $460 per ton (Deuren et al., 2002; EPA, 2001). Disturbed soils are subject to wind or rain erosion, at least temporarily increasing exposure risk during excavation activities. Excavation may be coupled to a secondary treatment such as soil washing, chemical or physical stabilization, biological treatment or soil incineration followed by offsite disposal or onsite reburial, each step with additional costs. An alternative to excavation and removal of contaminated soils is in-situ soil treatment, which is contaminant stabilization or decomposition on site. There are a wide variety of in-situ soil treatment technologies including chemical solidification, vitrification, air sparging, electrokinetic migration, soil flushing, bioremediation as well as other emerging technologies. Chemical solidification immobilizes contaminants by addition of various types of chemicals such as asphalt, concrete and silicate based additives. However, sequestered contaminants may be released as they weather over time 12 so long-term assessments of stability must be performed (Sellers, 1999). In-situ vitrification is similar to chemical stabilization except that electrical energy is applied to melt soil into glass-like blocks, which may retain contaminants for longer periods of time with reduced leaching risk relative to chemical solidification. Air sparging utilizes forced air to remove volatile soil contaminants from the soil for atmospheric dispersal. Many solvents such as TCE and light petroleum compounds may be treated by air sparging, though this practice may be restricted by local or national regulations. Electrokinetics uses electrical energy to mobilize contaminant compounds through the soil matrix for concentration and removal. Electrokinetic effectiveness is influenced by soil moisture and the presence of other conductive soil constituents (Saichek and Reddy, 2005). Biotic Soil Pollutant Interactions In addition to abiotic interactions, biological processes are important determinants of environmental persistence of organic contaminants. Bioremediation, the use of living organisms to remove, destroy or detoxify contaminants, is occasionally used alongside standard engineering practices or as a site treatment. The implementation of biological process for pollutant remediation could technically be called bioremediation, but the term is most often used specifically to describe the action of microorganisms. In some cases, bacteria or fungi may utilize organic pollutants as metabolites and completely mineralize these contaminants to C02, water, chloride, or nitrate, depending on the compound. Organic molecules may also be transformed to other compounds, some of which may still be environmentally damaging, such as bacterial transformation of trichloroethylene to 13 vinyl chloride by anaerobic dechlorination (Enzien et al., 1994; Freedman and Gossett, 1989) Organic pollutant biometabolism Biotic transformation influences incorporation of organic contaminants or metabolic byproducts into humic materials. Bacterial biotransfonnation of organic compounds occurs either by direct utilization of the pollutant as a growth substrate or via non-specific degradation due to broad specificity of some bacterial enzymes. This latter mechanism is known as co-metabolism, which is the primary process for degradation of many chlorinated compounds, e.g. PCBS. Bacterial cells synthesize dioxygenase and other enzymes directed towards carbon substrates capable of serving as a carbon source. For most PCB degraders PCBS cannot serve as a primary carbon source, and biphenyl or other phenolic compounds fill the role instead. In PCB co-metabolism, the same enzymatic pathway induced by biphenyl also transforms moderately chlorinated PCBS to utilizable products (Brenner et al., 1994). Polyaromatic hydrocarbons (PAHS) are composed of two or more fused benzene or furan rings. PAHS with less than four rings are termed light PAHS and are potential targets for direct bacterial degradation and assimilation. Light PAHS are typically degraded by dioxygenase enzymes, which catalyze cleavage of the aromatic rings leading to production of ATP and carbon assimilation. Simpler hydrocarbons such as benzene, toluene, ethylbenzene and xylene (BTEX) are common soil and groundwater contaminants and more easily degraded than PAHS. Aerobic or anaerobic BTEX 14 biodegradation allows rapid contaminant removal under optimal conditions (Tsao et al., 1998) Highly chlorinated PCBS and tetrachloroethylene (PCE) are not efficiently dehalogenated under aerobic conditions (Enzien et al., 1994). Chlorinated organic compounds may be transformed under anaerobic conditions by bacteria that are capable of reductive dechlorination. In this process, PCBS or trichloroethylene are selectively dechlorinated with microbial use of chlorine as a terminal electron acceptor in place of oxygen, nitrate or other more typical electron acceptors leading to release of the chlorine atom from the molecule (Freedman and Gossett, 1989; Quensen et al., 1988). Reductively dechlorinated organics are more amenable to aerobic degradation due to removal of halogen-caused steric hindrances to dioxygenase enzyme attack. Nitroaromatic compounds such as 2,4,6-trinitrotoluene and the heterocyclic compounds HMX and RDX can also be biologically degraded, though more typically serve as nitrogen sources rather than as carbon substrates (Esteve-Nunez et al., 2001). Bacteria transform TNT to 2,4- and 2,6-monoamino,dinitrotoluene via nitroreductase activity which converts the nitro groups to amino substituents (French et al., 1998; Labidi etaL,2001) Fungi that are capable of biodegrading naturally recalcitrant compounds such as lignin have been applied to the degradation of anthropogenic compounds. The lignolytic white rot fungus, Phanerochaete chrysosporium, is capable of degrading a wide variety of organic compounds such as PAHS, PCBS and NACS (Sheremata and Hawari, 2000; Yadav and Reddy, 1993; Zheng and Obbard, 2002). Fungal attack, unlike bacterial degradation, is almost always via non-specific enzyme activities, such as by peroxidases 15 or laccases, which are involved in lignin metabolism degradation and usually released only under lignolytic degrading conditions (Reddy, 1993). Limitations of Bioremediation Though it is possible for bacteria and fungi to degrade organic compounds under laboratory conditions, most persistent organic pollutants are very slowly transformed and degraded under field conditions. Slow bacterial degradation rates are frequently linked to low water solubility of the contaminant compounds and slow desorption from soil organic matter. Contaminant desorption from the soil matrix and transfer to the aqueous phase is thought to be the primary limiting factor for biological degradation of hydrophobic contaminants (Bosma et al., 1997). Microbes utilize alternative strategies to overcome mass transfer limitations, including direct colonization on sorbed substrates or production of solubilizing compounds such as biosurfactants (Johnsen and Karlson, 2004). Direct microbial contact with contaminant molecules may be limited due to soil tortuosity, low surface to volume ratios of contaminant globules, and protozoan predation (Bouchez-Naitali et al., 1999). Microbially enhanced solubilization may be limited due to low biosurfactant substrate availability or insufficient bacterial cell density for effective levels of biosurfactant production. Consequently, a large proportion of the bacterial community may access only aqueous phase contaminant prior to degradation. Applied bioremediation is limited by these same factors, as well as poor persistence of introduced microbes, lack of sustained induction of desired biodegradative pathways, or concerns over containment of improved genetically engineered organisms (GEMS) (Giddings, 1998). 16 Phytoremediation Phytoremediation is similar to bioremediation, though is focused on the use of plants to remove or detoxify environmental contaminants. Phytoremediation processes include volatilization of contaminants from leaves (phytovolatilization), direct plant decomposition of organic contaminants (phytodegradation) and plant sequestration and concentration of contaminants in the above ground parts (phytoaccumulation). Organic contaminants may be directly metabolized by plant processes, though plant-enhanced biodegradation typically occurs via enhanced bacterial enzymatic activity in the root zone, subsequently termed phytostimulation or rhizodegradation. Plant species that naturally accumulate higher quantities of metals, such as arsenic, nickel, zinc, cadmium and cobalt, in their above ground parts are termed hyperaccumulators (Baker and Brooks, 1989). Plants like the zinc hyperaccumulator T hlaspi caerulescens are able to concentrate toxic metals in their tissues above 1% of dry tissue mass, which is many times higher than that found in bulk soil (Brown et al., 1994; Nedelkoska and Doran, 2001; Salido et al., 2003). Hyperaccumulators have the potential to remediate metal contaminated sites by concentrating the disbursed metals in a small quantity of tissue, allowing for easy harvest and removal rather than excavation of the entire volume of contaminated soil (Baker et al., 1994). For economically valuable elements such as nickel, phytoaccumulation also has the potential to provide revenue to defer cleanup costs (Li et al., 2003). Phytovolatilization is a process in which volatile metals and organic compounds are removed from soil by water uptake followed by evapotranspiration from shoot 17 tissues. Hybrid poplar tree phytoremediation of hydrocarbon contaminated groundwater is a combination of phytostimulation, phytovolatilization, and phytodegradation processes (Widdowson etal., 2005). Like bioremediation, plant-based cleanup technologies are largely experimental and are limited by environmental and physicochemical factors, though they possess certain ancillary advantages over microbial treatments, including self-sustenance through photosynthesis and containment of contaminated media by stabilization against erosion. Bioengineered Rhizosphere Phytoremediation Crop bioengineering has become a standard technique in crop improvement for agricultural purposes with 56% percent of soybean and 28% of cotton global crop acreage genetically modified (James, 2004). However the application of biotechnological approaches to phytoremediation is still largely in the experimental stages. The most advanced of these approaches is mercury phytovolatilization, which is undergoing field testing in several states (APHIS release #05-045-01). These plants express mer bacterial genes for detoxification of bioaccumulative methylmercury and phytovolatilization of less toxic elemental mercury (Rugh et al., 1998; Rugh et al., 1998). Recent advancements in selenium phytoremediation have allowed the genetic enhancement of the innate ability of Indian mustard to accumulate selenium (LeDuc et al., 2004). In another study, plant arsenic accumulation was improved via RNAi silencing of the plant arsenic reductase gene, which normally converts arsenic to an insoluble, immobile form. Without the function of this gene in roots, the plants transported and sequestered soluble arsenic in shoot tissues (Dhankher et al., 2006). 18 Transgenic phytoremediation of organic pollutants has also been achieved in numerous laboratories. Engineered plants have effective expressed genes for degradation and detoxification of TNT and HMX nitroaromatics (French et al., 1998; Rylott et al., 2006). Mammalian cytochrome P450 monooxygenases has been utilized to enhance transgenic plant degradation of a wide range of organic contaminants (Kawahigashi et al., 2002) Despite recognized successes in genetically engineered phytoremediation, this approach may present difficulties. Foreign genes may fail to be expressed in transgenic plants due to GC bias or atypical codon usage (Slimko and Lester, 2003), resulting in silenced or low expressing genes (Haseloff et al., 1997; Rugh et al., 1996). Bacillus gene sequences are typically A/T rich, which may contain pseudo mRNA splice sites that are recognized by the host transcriptional systems leading to transcript instability and potential silencing. Monocot plants have a considerably higher GC codon bias than dicotyledous species (Kawabe and Miyashita, 2003). In one study, no expression was detected of an unmodified bacterial B-glucanase expressed in barley, but a higher GC, codon-optimized gene was expressed successfully (Jensen et al., 1996). High GC coding regions often contain an abundance of CpG motifs, which are targets for eukaryotic DNA methylases in some hosts (Ingelbrecht et al., 1994; Vanyushin and Kimos, 1988). Early attempts to express an unmodified bacterial Tn21 transposon merA gene in Arabidopis were unsuccessful, though gene sequence modification to reduce GC abundance utilizing more common dicot codons allowed transgene expression (Rugh et al., 1996). A highly GC-biased chlorocatechol degradation gene from Ralstonia eutropha NH9 was inserted into tobacco BY2 cells without detectable expression, though the GC-rich rice genome 19 supported expression of the transgene (Shimizu et al., 2002). Chromosomal insertion position may also strongly influence transgene expression, with genes inserted into heterochromatic regions resulting in low expression (Matzke and Matzke, 1998). Limitations of phytoremediation Basic limitations on phytoremediation include long treatment time and requirement for agronomically suitable site conditions. Most phytoremediation research on organic compounds has focused on uptake and sequestration or degradation of water- soluble compounds. However, for some strongly non-polar contaminants such as PCBS and PAHS, very small quantities of these compounds will be available to plant tissues for direct degradation (Shrout et al., 2006). One approach to dealing with extremely hydrOphobic pollutants using plants is indirect, using root-produced molecules to stimulate available microbes which can more readily ac'cess hydrophobic contaminants due to higher surface to volume ratios and potential for direct contact with pollutant globules. For plants to be capable of direct degradation, more creative methods are necessary to increase the bioavailability of hydrophobic compounds. One method of increasing apparent solubility of strongly hydrophobic contaminants is the addition of surfactants. Surfactants are amphiphilic compounds, which possess both hydrophilic and hydrophobic domains within a single molecule. At low concentrations, surfactants congregate at the aqueous, non-aqueous interfaces, reducing surface tension in immiscible liquid systems. As the concentration of surfactant in an aqueous system is increased, the surface tension will continue to decrease up to a certain point when it will 20 no longer decrease, which is known as the critical micelle concentration (CMC). Once the CMC is reached, surfactant molecules spontaneously form spherical vesicles called micelles, which are capable of assimilating hydrophobic compounds and increasing their apparent water solubility and bioavailability. Surfactants have been widely used in bioremediation treatment strategies to enhance in situ degradation rates of organic compounds or in ex situ operations for soil washing procedures. However, due to their solubilizing effect, surfactants have the potential to cause contaminant leaching when used in situ. Chemical surfactants may result in bacterial or plant toxicity when used at chemically effective concentrations or become unintended contaminants due to their environmental persistence in soils (Rouse et al., 1995). In some situations, synthetic surfactants may inhibit microbial biodegradation even while enhancing contaminant desorption (Laha and Luthy, 1991) by toxicity to bacterial cells (V olkering et al., 1997) or inaccessibility of entrapped contaminants (Makkar and Rockne, 2003). Biologically-synthesized surfactants or biosurfactants are considered more environmentally benign than synthetic surfactants due to shorter half-life, lower toxicity, and higher biodegradability. Biosurfactants are grouped in several major classes, glycolipids, lipoproteins, phospholipids, and polymeric biosurfactants. Bacterial biosurfactant production has been proposed as a biological mechanism for transport of less water-soluble compounds, to promote enhanced cell-matrix adhesion, or to function as defense compounds (Maier, 2003; Neu, 1996). Glycolipids are sugar-lipid containing molecules with a well-studied example being rhamnolipids. Rhamnolipids were Shown to enhance removal of PAHS in soil washing treatments (Noordman et al., 1998). Rhamnolipids were observed to be similar in desorption effectiveness to the chemical 21 surfactant Triton-X across a wide range of compounds in chronically contaminated soil (Berselli et al., 2004). Cyclodextrins (CDS) are unique biosurfactant-like molecules unlike most surfactant chemicals. Cyclodextrins are not surface active (do not reduce surface tension) and therefore are not true surfactants. Due to their mono-molecular activity, CDS have no CMC requirement and are capable of contaminant solubilization activity at any concentration. CDs are composed of a—l,4 linked glucose units with the primary hydroxyl groups directed towards the interior of the torus-shaped molecule and secondary hydroxyls directed towards the exterior (Szejtli, 1988). The exterior hydroxyls form the hydrophilic portion of the molecule while the interior portion remains relatively hydrophobic. Hydrophobic compounds can become included into the center cavity of the CD and are called “guest” molecules. CD is typically formed from 6, 7, or 8 glucose units; comprising or, B and yCD respectively. The differing number of glucose units results in a different cavity size, giving each CD a Slightly different range of contaminants to solubilize. Cyclodextrin-producing bacteria synthesize mixtures of CD3 usually with one or two different cyclodextrin types predominating depending on the specificity of the bacterial cyclodextrin glycosyltransferase (CGTase) (Qi and Zimmermann, 2005). CD5 generally cannot solubilize hydrophobic compounds larger than the interior CD cavity but portions of larger molecules may become encapsulated with complex ratios of 1:1, 2:1 or occasionally 3:1 of cyclodextrin to guest molecule. CDS are thought to function in one of two ways, one in which the CD functions as an inert agent for simple solubilization, with another being the specific cellular import and cytoplasmic degradation of intact CD-complexes (Pajatsch et al., 1998). Some microbes 22 such as Klebsiella oxytoca are capable of both producing and utilizing CD as a sole carbon source (Fiedler et al., 1996). Cyclodextrins have been used for enhancement of environmental remediation, but chemically modified cyclodextrins are frequently utilized, especially modified BCD. This is due to the fact that [3CD has relatively low water solubility, which is due to the fact that the hydroxyl groups of [3CD tend to hydrogen bond with one another rather than with the surrounding solvent (Szejtli, 1988). To increase the water solubility of BCD, hydrophobic or hydrophilic groups are chemically added to the surface of the molecule to break up the intrarnolecular hydrogen bonding. Given the nearly unlimited water solubility of most CD derivatives, they are often preferred for exogenous applications. Modified CDs may actually have lower solubilization power than their natural counterparts at lower concentrations, likely due to steric hindrance from functional groups attached to the CD ring (Gao et al., 1998). Since chemical modification of cyclodextrins is unfeasible for in- vivo CD production, works concerning modified cyclodextrins must be viewed with recognition that chemically modified CDS could only be added exogenously rather than solely biologically produced. However the solubilization properties of modified CDs may still be indicative of the potential of the parent natural CDS. Modified CDS are considerably more persistent and resistant to degradation than natural CDs; randomly methylated BCD (RAMEB) was found to be fully resistant to biodegradation (Fenyvesi et al., 2005). Low degradation rates may lead to potential problems with persistence of the modified CD compounds similar to those caused by synthetic surfactants, including contaminant leaching or increased toxicity to receptor organisms. 23 Cyclodextrins are commonly used to increase desorption of various soil contaminants in biodegradation or soil washing treatments. Modified hydroxypropyl BCD (HPCD) was used to enhance the transport of: anthracene, pyrene and a PCB congener (Brusseau et al., 1994). HPCD was found to be very effective in part due to lack of sorption to soil, which has been observed to occur with most true surfactants. HPCD and [3CD were both demonstrated to significantly enhance the apparent aqueous solubility of the low molecular weight PAHS naphthalene and phenanthrene (Badr et al., 2004). [3CD enhanced biodegradation in liquid cultures spiked with PAHS (naphthalene and anthracene) and linear hydrocarbons (tetracosane and dodecane) (Bardi et al., 2000). CD5 were also observed to reduce Pseudomonas putida growth inhibition and toxicity by toluene and toluic acid, while increasing biodegradation rates (Schwartz and Bar, 1995). HPCD has been Shown to enhance phenanthrene degradation in liquid cultures with 97% of the compound removed in 48 hours in comparison to 54.8% removal in treatments without HPCD (Wang et al., 1998). yCD and HPCD were shown to significantly enhance biodegradation of individual PCB congeners when compared to control treatments lacking cyclodextrin under both slurry and fixed phase column soil bioreactor conditions (Fava et al., 1998). Under greenhouse conditions, several planted systems amended with [3CD showed a significant reduction of initial soil PAH levels, ostensibly via enhanced rhizodegradation (Settavongsin, 2005). HPCD enhanced removal of a wide range of compounds, including BTEX and TCE, in field aquifer conditions (McCray and Brusseau, 1998). 24 S_um_n;ary & Conclusion Environmental contamination of soils is a continuing and pervasive problem in many areas of the world. Organic pollutant compounds cause environmental harm even at low levels due to their persistence and bioaccumulation through food webs. These compounds may be mineralized, transformed into their basic constituents of carbon dioxide and water. However transformation of organic compounds is limited by their low solubility in water and resulting unavailability for rapid degradation. Engineering-based approaches to site decontamination, while often quick and effective, may not represent the most cost efficient and environmentally compatible treatment for organic pollutants. Phytoremediation has been proposed as an environmentally friendly alternative to engineering based approaches. Plants are considered to be more environmentally friendly and capable of enhancing the removal of a wide range of compounds. Genetic engineering has also been used to generate plants with improved capabilities for environmental restoration, including genes for biodegradation and contaminant concentration. Despite genetic improvements phytoremediation is still constrained by the physical properties of organic contaminants and soil. Organic compounds tend to partition to the humic materials within soil, protecting them from biological decomposition. Surfactants are compounds, which are capable of solubilizing organic contaminants, bringing them into the aqueous phase. Surfactants have been used to improve biological degradation of organic compounds, but may be expensive and labor intensive to add to a Site. Surfactants may also cause bacterial toxicity and contaminant leaching. Cyclodextrins are biologically synthesized compounds capable of overcoming 25 the limitations of low water solubility and bioavailability in a similar fashion to surfactants. Instead of relying either on exogenously added cyclodextrins or bacterial synthesis, we propose a more manageable and consistent solution is the plant production of extracellular CGTase coupled with exogenous addition of starch. In this research project we cloned a novel cgt gene was cloned from a soil isolated bacterium. This gene was then expressed in 3 different species, Esherichia coli, Arabidopsis thaliana and Nicotiana tabacum. Functional CGTase was detected in at least one line or clone of all three species. Several plant lines were tested for improvements to degradation of PAHS and PCBS. The transgenic lines examined in this work are a first step towards field implementation of in-situ plant-based production of CDs. Contaminated soils containing CDS may exhibit enhanced biological degradation due to both plants and bacteria. Plant produced CD may be more controlled than either direct CD addition or bacterial production due to location within the rhizosphere and direct observation of plant growth. Cgt-plants provide potential for acceleration of in-situ biological degradation of organic contaminants. 26 REFERENCES Alexander, R. R., Tang, J. X., and Alexander, M. (2002). Genotoxicity is unrelated to total concentration of priority carcinogenic polycyclic aromatic hydrocarbons in soils undergoing biological treatment. Journal of Environmental Quality 31, 150- 154. Atlas, E., and Giam, C. S. (1981). Global transport of organic pollutants - ambient concentrations in the remote marine atmosphere. Science 211, 163-165. Badr, T., Hanna, K., and de Brauer, C. (2004). Enhanced solubilization and removal of naphthalene and phenanthrene by cyclodextrins from two contaminated soils. 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Enzyme and Microbial Technology 31, 3-9. 37 CHAPTER I Cloning and Characterization of the Cyclodextrin Glycosyltransferase from Paem'bacillus sp. strain C36 Sarah Kinder Department of Crop and Soil Sciences Michigan State University INTRODUCTION Cyclodextrins Cyclodextrins (CDS) are versatile surfactant-like molecules used for commercial and analytical purposes including pharmaceutical and pesticide chemical production, plant growth regulator enhancers, chiral chromatographic separation, and many other applications (Apostolo et al., 2001; Gines et al., 1996; Greenberg—Ofrath et al., 1993; Kamiya and Nakamura, 1995; Kilsdonk et al., 1995; Nunez-Delicado et al., 1997; Uekama et al., 1998). CD3 are cyclic sugars composed of six, seven, or eight 0t-1,4 linked glucose units (orCD, BCD and yCD, respectively) produced by bacterial starch degradation. CDS are doughnut-shaped with a hydrophilic exterior and a hydrophobic cavity, which can accommodate appropriately sized hydrophobic “guest” molecules in ratios of 1:1, 2:1, or more rarely, 3:1 Cnguest molecule (Shen et al., 1998). Complexation with CDS has the effect of solubilization, stabilization, or sometimes precipitation of the included compound (Szejtli, 1988). CD3 have been found to effectively in enhance dissolution and biodegradation of soil-sorbed organic contaminants (Badr et al., 2004; Bardi et al., 2000; Molnar et al., 2005; Sheremata and Hawari, 2000; Wang et al., 2005). 38 CGTases Cyclodextrins are produced from starch by the action of a bacterial enzyme, cyclodextrin glycosyltransferase (CGTase), which is thought to be functionally and phylogenetically linked to or-amylase. Both enzymes act on starch, with CGTase forming cyclic products and a-amylases forming linear products (delRio et al., 1997). The typical reaction of CGTase, cyclization, is the covalent linkage of the non-reducing end of the sugar and another glucose unit of the same oligosaccharide, forming cyclic products (Uitdehaag et al., 1999). CGTases perform other reactions such as disproportionation, coupling, and hydrolysis. The coupling reaction is the reverse of the cyclization reaction. In the hydrolysis reaction a linear oligosaccharide is broken down into smaller linear fragments. CGTases are used industrially for the production of cyclodextrins and for glycosylation of various sugars and other compounds (Stames, 1990). CGTases are 60-75 kDa extracellular enzymes secreted into the environment via the action of a diverse array of transit peptides (Schmid, 1989). CGTases have been found in a wide variety of microbes, primarily Bacillus and related species but also, Klebsiella, Brevibacillus, and Thermoanaerobacter (Binder et al., 1986; Wind et al., 1995). Full genome sequencing of several microbes has revealed putative cgt genes in Xanthomonas and Streptococcus strains (da Silva et al., 2002; Ferretti et al., 2001). CGTases contain five recognized domains, most of which are shared with or- amylases. Domain A contains a calcium-binding domain, which comprises the active site of the enzyme. The B and C domains provide stability for the active site during substrate binding, while the function of the D domain remains unknown and is generally limited to 39 CGTases and not shared with cr-amylases (Qi and Zimmerrnann, 2005). Domain E is found in Ot-amylases from diverse sources and is thought to function in binding raw starch (Janecek et al., 2003). CGTases are relatively similar across bacterial species with at least 51 completely conserved amino acid residues located primarily within the active site, which contains a ([3/0t)g barrel tertiary structure (Qi and Zimmerrnann, 2005). Individual CGTases tend to exhibit differing chD, BCD or yCD biosynthetic specificities, which may also be influenced by reaction conditions (Szejtli, 1988). Amino acid sequences are generally conserved among BCGTase and ctCGTase proteins, both of which are more divergent from the less conserved yCGTases. For example, yCGTaseS usually contain a deletion of six amino acids at the beginning of the B region, which may serve as a hinge, to Open the active site allowing formation of the larger (8 glucose unit) cyclic product (Qi and Zimmerrnann, 2005). The objective of this study is to examine the sequence and enzymatic function of a novel CGTase, PI-Cgt, in the original host strain, Paenibacillus sp. C36, and as expressed in Escherichia coli strain DHSOL. MATERIALS AND METHODS Gene cloning and modification Cyclodextrin producing bacteria were isolated from field soil and the cgt gene cloned via PCR from genomic DNA isolated from Paenibacillus sp. (formerly classified within Bacillus) strain C36 (Settavongsin, 2005). To make the cgt gene (PI-cgt) more amenable to in vitro manipulation and allow cloning into the vector pBluescript SK' the 40 recognition sites for NotI and EcoRI restriction enzymes (Stratagene, La Jolla, CA) were introduced into the 5’ UTR of the PI-cgt using the forward primer: PIcgt-F 1: 5’GAA TTC GGC GGC CCG "ITA AAG AGG ATT AAC AAT GTT AAT GG. The recognition sites of the restriction enzymes Sac] and BamHI were introduced into the 3’ UTR of P1-cgt using the reverse primer: PIcgt-Rl: 5’CTG TAC GGA TCC GAG CTC ATT AAG GCT GCC AGT T. These changes allow for the expression of pBS-PI-cgt in E. coli DHSOL. Primer sections containing engineered restriction sites are underlined, with remaining DNA sequence of primer PIcgt-Rl complementary to PI-cgt. Primer F 1 contains other modifications including an in-frame stop codon in reference to the pBS LacZ fragment and a new ribosomal binding sequence to replace the original which was removed by restriction site addition. The in—frame stop codon causes translation of the LacZ fragment to terminate while the ribosomal binding site attracts the ribosome to the cgt initiation codon, resulting in the translation of PI-cgt. PCR for cloning and modification were performed in 40ul volume reactions containing, 0.1 pl template, 4ul 10XPCR Buffer, 4p] 25mM MgClz, 2p] of 10pm forward and reverse primers 0.8ul of lOOmM dNTPs, 1.6ul BSA (10mg/ml) and 0.4ul of Amplitaq (Invitrogen, Carlsbad, CA). The PCR conditions were as follows: A primary denaturation step, 96°C for 3 minutes followed by 40 cycles of 96°C 3OSeconds, 50°C annealing temperature for 30 seconds and a 72°C extension temperature for 45 seconds. The PCR products were first checked for correct size and amplification by agarose gel electrophoresis. DNA preparations displaying positive PCR reactions were then cloned directly into pCR2.l using the TOPO TA cloning kit (Invitrogen, Carlsbad, California) used according to manufacturer specifications. TA-cloned cgt was transformed into E. 41 coli DHSOL and were plated on selective LB plates (lOg/L NaCl, Sg/L yeast extract, lOg/L Bacto tryptone, 15g/L Bacto agar; Beckton Dickinson, Sparks, MD) containing 100mg/L kanamycin. Positive colonies were picked, grown overnight (16hrs) in 5mls LB with lOOmg/L kanamycin or 50mg/L ampicillin. DNA was extracted using a truncated standard alkaline lysis procedure (Maniatis et al., 1982). Cells were Spun down at 10,000 X g for 1 minute using 1.5m] micro tubes and 1.5ml of culture. Supernatant was removed by pouring and the tubes were blotted dry using a paper towel. Cells were then resuspended by vortexing in lOOul of (SOmM glucose, 25mM Tris-HCI, lOmM EDTA) (pH 8.0). Cells were lysed by 200141 of (0.2% sodium dodecyl sulfate and 0.2M NaOH) and repeated inversions of the tubes. The resulting mixture was neutralized by 150ml (60mL 5M potassium acetate, 11.5mL acetic acid, 28.5mL H20), mixed well and spun down for 2 min at 10,000 X g. To precipitate DNA, 200p] of the supernatant was added to lml of 98% ethanol and mixed well. The solution was spun down at 10,000 x g for 5 minutes. Ethanol was carefully decanted, the tubes blotted dry, and tubes were allowed to stand to air-dry. Once pellets were mostly dry they were resuspended in 27ml of Tris- EDTA containing approximately 150ug/ml RNase. The resulting plasmid DNA solutions were screened via restriction enzyme digestion using EcoRI (Invitrogen, Carlsbad, CA) performed according to manufacturer’s instructions followed by agarose gel electrophoresis on a 1% gel in Tris-acetate EDTA at 100 V for 1 hour. Agarose gels were stained afier running with 0.8mM ethidium bromide and visualized on a Bio-Rad Quantity One Gel Documentation system (Bio-Rad, Hercules, CA). Positive clones were grown up for 16hrs in LB with selection at 37°C and extracted using the Wizard DNA minprep kit. DNA solutions were subjected to micro- 42 dialysis prior to sequence submission, which consisted of placement of the DNA solution on a13mm, 0.025um pore size nitrocellulose filter (Millipore, Billerica, MA) floating on sterile water for 5 minutes. Afterwards the DNA solution was placed in a new Eppendorf tube, and sequenced using Applied Biosystems (Foster City, CA) sequencing technology in one direction as a primary screen for mutations and was performed by the Michigan State Research Technology Support Facility (MSU, East Lansing, MI). A single mutation free, completely sequenced clone was chosen for subsequent subcloning into pBS using EcoRI and BamHI. pBS and pCR2.1 containing PI-cgt were digested using EcoRI and BamHI enzymes. Both reactions were run on 1% Agarose gels. The 2100bp PI-cgt gene fragment was excised from the gel using a scalpel and purified using the QIAquick gel extraction kit according to manufacturer’s instructions (Quiagen, La Jolla, CA). Only a portion of the pBS reaction was run to check for complete digestion. The remainder of the reaction was heat inactivated at 65°C for 20 minutes. The purified PI-cgt fragment was combined with the digested pBS in a 3 to 1 molecular ratio along with DNAligase and fresh ligation reaction buffer as per manufacturers instructions. Ligations were allowed to proceed overnight and were heat inactivated the following day at 65°C for 20 minutes. Ligations were digested by an enzyme found within the polylinker segment of pBS, but not within PI-cgt, to cut self-ligated plasmids. Linearized plasmids will not be replicated in bacterial cells — biasing the transformation recovery to cells containing the desired insert. Bacterial transformation was carried out using E. coli DHSor cells prepared to be chemically competent utilizing the following method. A single colony was used to inoculate an overnight 5mL culture of LB, which was used to inoculate 1L of LB medium split between 4 1L flasks incubated at 37°C at 43 200rpm. After the optical density of the cultures reached approximately 0.3 they were spun down for 8 minutes, 10,000 x g at 4°C and resuspended in 0.1M CaClz twice. After the second resuspension the cells were held overnight on ice. The next day cells were diluted with 80% glycerol, aliquoted into 1.5m] micro-tubes and flash frozen using liquid nitrogen. For transformation, DHSOL competent cells were thawed and held on ice. The entire ligation was added to 200ul of cells. Cells were heat shocked by placement in a 42°C water bath for 2 minutes followed by 2 minutes on ice. After heat shock 500ml of SOC medium (20g Bacto tryptone, 5g Bacto yeast extract, 2ml of 5M NaCl, 2.5m] of 1M KCl, 10ml of 1M MgClz, 10ml of 1M MgS04, 20ml of 1M glucose in IL) was added and the transformation reaction was incubated at 37°C, 200rprn for 30 minutes. Transformation reactions, one plate with 10 III the other with lOOul were plated on solid LB ampicillin plates spread with 50ul X-gal (20mg/ml in dimethyl forrnarnide) to allow for blue-white screening of potential clones. Those clones that were white in color due were more likely to contain an insert due to disruption of the B—galactosidase fragment. Positive clones were screened via restriction analysis using EcoRI and BamHI as described above. A single positive clone was selected for further experiments. Sequence Analyses Alignments, phylograms and bootstrap values were analyzed with Clustal W version 1.83 (Thompson et al., 1994). Trees were drawn by Phylodraw version 0.8 (Graphics Application lab, Pusan National University, South Korea) with the neighbor- 44 joining method using the Clustal W output. Detection of signal peptide and cleavage site was performed using SignalP analysis software (Bendtsen et al., 2004). Starch Clearing Analysis For screening of CGTase producing strains for starch degradation, visual starch clearing was utilized as a diagnostic screen. Bacterial colonies were grown on solid Basic medium containing 1% soluble starch, 0.5%yeast extract, 0.5% tryptone, 0.1%K2HP04, 0.02%MgSO4 * 7H20, 0.02%CaC12 * 2H20, 1%(NH4)ZSO4, pH to 7.0 and 15g of Bacto Agar per liter. Media was sterilized prior to use, poured into 100mm X 15mm disposable plates (Fisher Scientific, Hampton, NH) and allowed to solidify overnight. Bacterial colonies were touched to plates and allowed to incubate at their respective temperature optima, 28-30°C for P. sp. C36, 37°C for E. coli for 16 hr and P. sp C36 for 32 hr. After growth was completed, plates were stained with a 1:30 aqueous dilution of an iodine solution consisting of 10% potassium iodide 1% iodine and 50% ethanol with water. Starch forms a deep blue colored complex with iodine. Cyclodextrin fails to form a colored complex with the iodine dye causing areas of starch degradation and CD production appear as colorless, clear zones on agar plates. Colorimetric Assay of B-CD A colorimetric dye assay was used to quantify [3CD production (Kaneko et al., 1987), modified for use in a microplate. Crude enzyme extract was obtained from overnight cultures of E. coli and P. sp. C36 respectively, via centrifugation for 1 minute at 10,000xG and filter sterilized to exclude any remaining cells. 50p] of enzyme extract 45 was added to 200ul of 1.25% starch in lmM phosphate buffer in 1.5ml microtubes. After incubation of up to 24 hrs for P. sp C36 and E. coli-PI-cgt, 50ul of the enzymatic reaction was removed and placed in a 96 well plate. 25p.l of 0.4mM phenolphthalein and 20ul of 1M NaC04 were added to the enzyme/starch mixture. CD forms a complex with the colored phenolphthalein dye causing color reduction. The amount of color reduction is proportional to the quantity of CD in solution, with the relationship being a logarithmic reduction in absorbance. Absorbance was measured at 550nm with a Spectra Max 190 (Molecular Devices, Sunnyvale, CA) microplate reader after 2 minutes of incubation accompanied by light shaking. Samples were tested alongside a standard curve done in triplicate, measuring from 15ug/ml to 1000ug/ml. The Speed and rate of BCD production by both C36 and pBS PI-cgt were measured. An enzymatic digest was setup as previously described with subsaniples being analyzed for BCD content via the colorimetric method. Three replicates of each enzyme source were included, with incubation performed at 50°C. Subsarnples were analyzed at zero, one, two, and three hours after incubation start. Thin Layer Chromatography Thin Layer Chromatography (TLC) was performed to separate and identify the different CDS. The same in-vitro enzymatic reactions as those used for the colorimetric assays, were spotted in 2ul aliquots, 3 times onto the base of a 10cm X 20cm silica gel 60/Kieselguhr p254 aluminum TLC sheet (EM Science, Gibbstown, NJ). on, B, and yCDs (Sigma, St. Lois, M0) were used as standards in 1% aqueous solutions and spotted to the same sheet as the enzymatic reactions. The mobile phase was acetonitrile-water- 46 ammonium hydroxide (6:321) with plates being run in a sealed glass TLC tank. Completed TLC plates were sprayed with Vaugh’s solution (1 g Ce(SO4)2, 24g (N H4)2M004, 50ml concentrated H2804 and 450ml H20) using a TLC Sprayer and developed by heating on a hot plate until blue spots appeared. Blue Spots were compared to spots generated in lanes containing the standards, if the migration distances were similar to that of the CD standards, it was deemed a positive result. RESULTS Sequence comparisons Since PI-cgt was not shown to be identical in amino acid sequence to any other CGTase sequence in the Genbank database, sequence comparisons to known CGTases were undertaken. A Blast search performed utilizing the entire amino acid sequence of PI-cgt found the most similar protein to be a CGTase from Bacillus lichenformis (Genbank accession # CAA33763) at 86% identity and 89% similarity using the Blosum 62 amino acid substitution matrix (Henikoff, 1992). Using the same methods, PI-cgt was 73% identical and 78% similar to the well-characterized CGTase of Paenibacillus illinoisensis strain 251. A phylogenetic tree of several bacterial CGTases (archaeal CGTases were excluded) was created using Clustal W and Phylodraw using the neighbor joining method (Figure 1.1, Figure 1.2). This method uses the assumption that in any set of data the quantity of evolution between the various enzymes should be minimized, it is generally assumed to frequently produce a tree that is very close to the true tree. 47 100 100 CAM840 CAA33763 PLCgt MR32682 ABC-02281 CAAssozs c AAA22298 c E05456 1c BAI121 7 o CAH61550 . NP_269428 100 a CAL2 5733 o YP_242734 Figure 1. Evolutionary phylogram comparison of Cgts to PI-Cgt. Branch lengths indicate evolutionary distance. Bootstrap values are indicated on the branches. CAA48401 CAA33763 PI-Cgt AAR32682 Aecozzai CAA55023 AAA22298 E05456 8A891217 CAH61550 NP_269428 CAL25733 YP_242734 CAA48401 CAA33763 PI-Cgt AAR32682 ABGOZZBl CAA55023 AAA22298 £05456 8A391217 CAH61550 NP_269428 CAL25733 YP_242734 --------------------- MFQMAKRAFLSTTLTLGLLAGSALPFLPA --------------------- MFQMAKRVLLSTTLTFSLLAGSALPFLPA --------------------- MFKWTKRIILSTTLSFSLLAGSALPLFPA -------------------------- MKRFMKLTAVWTLWLSLTLGLL—- -------------------------- MKRFMKLTANMWLWLSLTLGLL-- -------------------------- MKKFLKSTAALALGLSLTFGLF-- -------------------------- MKSRYKRLTSLALSLSMALGIS-- -------------------------- MRRWLSLVLSMSFVFSAIFIVSDT ------------------------- VFRKLLCTLVTIITLSAWIVSHGGE ------------------- MINKKNSIGKAICICLSILLLFGVLSIFQPV ------------------------- -MRELHIKTYKLLTKSAVLLGLISF ------------------------ MTMNRFMKKLFSMFLALALIVGYTAA MAGRATDLRAGDRRLEPDRGRCVRGAGPKRPGRAMMRSVLMAAMLLYSGA SAVYADP ------ DTAVTNKQSFSTDVIYQVFTDRFLDGNPSNNPTGA-- SAIYADA ------ DTAVTNKQNFSTDVIYQVFTDRFLDGNPSNNPTGA-- ASVFADA ------ DTAVSNKQNFSTDVIYQVFTDRFLDGNPSNNPTGG-- SPVHAAP ------ DTSVSNKQNFSTDVIYQIFTDRFSDGNPANNPTGA-- SPVHAAP ------ DTSVSNKQNFSTDVIYQIFTDRFSDGNPANNPTGA—- SPAQAAP ------ DTSVSNKQNFSTDVIYQIFTDRFSDGNPANNPTGA-- LPAWASP ------ DTSVDNKVNFSTDVIYQIVTDRFADGDRTNNPAGD-- QKVTVEA ------ AGNLN-KVNFTSDVVWQIVVDRFVDGNTSNNPSGA-- VHASN -------- ATNDLSNVNYAEEVIYHIVTDRFKDGDPDNNPQGQ-- TNATQNSLEHIKEHTSVNNQVNYATDVIYQIVTDRFLDGDKYNNPTCEN- PLTVSAAD ----- NASVTNKADFSTDTIYQIVTDRFNDGNTSNNGKTD~- YPLPAVAA ----- ASGQSLGPVTSKDVIYQILTDRFYDGDHANNIPPGTP ACAAPAP ------ GDYYGTLEPFAADAVYFVVTDRFVNGDTGNDHRDQGG . a a“ o Vii! cit- it. 48 CAA48401 CAA33763 PI—C t AAR3 682 ABGOZZBl CAA55023 AAA22298 E05456 6A391217 CAEZ 5733 vp_242734 CAA48401 CAA33763 PI—Cgt AAR32682 ABGOZZBl CAA55023 AAA22298 E05456 BAB91217 CAH61550 NP_269428 CAL25733 YP_242734 CAA48401 CAA33763 PI—Cgt AAR32682 ABGOZZBl CAA55023 AAA22298 E05456 5A591217 CAH61550 NP_269428 CAL25733 YP_242734 CAA48401 CAA33763 PI—cgt AAR32682 ABGOZZBl CAA55023 8A891217 CAH61550 NP_269428 CAL25733 YP_242734 ————————— AYDAILSNLKLYCGGDWQGLINKINDNYFSDLGVTALWISQ --------- AFDGTCSNLKLYCGGDwQGLVNKINDNYFSDLGVTALWISQ ————————— AYDASCSNLKLYCGGDNQGLINKINDNYFSDLGITALWISQ ————————— AFDGSCTNLRLYCGGDWQGIINKINDGYLTGMGITAIWISQ --------- AFDGSCTNLRLYCGGDHQGIINKINDGYLTGMGITAIWISQ ————————— AFDGTCTNLRLYCGGDWQGIINKINDGYLTGMGVTAIWISQ ————————— AFSGDRSNLKLYFGGDWQGIIDKINDGYLTGMGVTALWISQ ————————— LFSSGCTNLRKYCGGDWQGIINKINDGYLTDMGVTAIwISQ ————————— LFSNGCSDLTKYCGGDNQGIIDEIESGYLPDMGITALWISP --------- LYSEDGADLRKYLGGDWRGIIQKIEDGYLPDMGISAIWISS ————————— VFDKN——DLKKYHGGDWQGIIAKIKDGYLTDMGISAIWISS PELFNDDNGDGRGDGTDLNKYQGGDWKGIQEKIP——YLKNMGITAVWISA AHRSFDVPTPCDGGVGDNIGYLGGDFKGIVDHAD--YIRGLGFGAVWITP . "::*: . *: .:*. . . PVEN ---------- IFATINYSGVTNTAYHGYWARDFKKTNPYFG-TMAD PVEN —————————— IFATINYSGVTNTAYHGYWARDFKKTNPYFG—TMTD PVEN —————————— IYSLINYSGVNNTAYHGYWARDFKKTNPAFG—TMTD PVEN —————————— IYSVINYSGVHNTAYHGYWARDFKKTNPAYG—TMQD PVEN ---------- IYSVINYSGVHNTAYHGYWARDFKKTNPAYG-TMQD PVEN —————————— IYSIINYSGVNNTAYHGYwARDFKKTNPAYG—TIAD PVEN ---------- ITSVIKYSGVNNTSYHGYwARDFKQTNDAFG—DFAD PVEN —————————— VFSVMN—DASGSASYHGYWARDFKKPNPFFG—TLSD PVEN —————————— VFDLHP—-—EGFSSYHGYWARDFKKTNPFFG—DFDD PVEN —————————— IYAVHP-—-QFGTSYHGYWARDFKRNNPFFG—DLND PVEN —————————— IDSIDP——SNGSAAYHGYWAKDFFKTNQHFG—TEAD PYEN ---------- RENLIAG---MYASYHGYHARNYFATNPHFG-KMQD IVDNPDEAFTGGKPITCESTLSDHGKTGYHGYWGVNFYRLDEHLPSPGLD -w . a - 011414" - - - u . . NLITTAHAKGIKIVIDFAPNHTSP ------------- AMETDTSFAEN NLVTTAHAKGIKIIIDFAPNHTSP ————————————— AMETDTSFAEN NLINTAHAKGIKVIIDFAPNHTSP ————————————— AMETDTSFAEN KNLIDTAHAHNIKVIIDFAPNHTSP ------------- ASSDDPSFAEN KNLIDTAHAHNIKVIIDFAPNH Juv.JrAEN NLIAAAHAKNIKVIIDFAPNHTSP ————————————— ASSDQPSFAEN NLIDTLTLITSRSDRLRPQPHVSG ————————————— RAGTNPGFAEN RLVDAAHAKGIKVIIDFAPNHTSP ------------- ASETNPSYMEN SRLIETAHAHDIKVVIDFVPNHTSP VDI ED RELIAVANEHDIKVIIDFAPNHTSP ------------- AEVNNPNYAED QLVKVAHQHHIKVVIDFAPNHTST ------------- AEKEGTTFKED ALVDALHDNGIKVVIDFVTNHSGPRPDGDGVRXXPDRDSSGQSVFDPD FTRSMHANDLKVVLDIVGNHGSP ------------- AY SMPVAQPGF GRLYDNG ------ TLVGGYTNDTNGYFHHNGGSDFSSLENG-—IYKN D GKLYDNG ------ NLVGGYTNDTNGYFHHNGGSDFSTLENG——IYKN g0 GKLYNNG —————— TLLGGYTNDTNKLFHHNGGSDFSTLENG——IYKN YD GRLYDNG —————— NLLGGYTNDTQNLFHHYGGTDFSTIENG--IYKN YD GRLYDNG —————— NLLGGYTNDTQNLFHHYGGTDFSTIENG--IYKN YD GRLYDNG —————— TLLGGYTNDTQNLFHHNGGTDFSTTENG——IYKN YD GALYDNG —————— SLLGAYSNDTAGLFHHNGGTDFSTIEDG——IYKN YD GRLYDNG —————— TLLGGYTNDANMYFHHNGGTTFSSLEDG--IYRN FD GALYDNG ------ TLLGHYSTDANNYFYNYGGSDFSDYENS--IYRN YD GNLYNNG ------ EFVASYSNDLNEIFYHFGGTDFSTYEDS--IYRN FD GALYKNG ------ KLVGKFSDDKDKIFNHESWTDFSTYENS--IYHS YG GNPIDYNGDGKAENRIADILNDTNGFFHHEGNRPDSDTSQFGYRHKE KS GKLYDAQG ————— RLVADHQNLAPAQLDPAHNPLHAFYNTS———-GG AE I! u n . 49 CAA48401 CAA33763 PI-cgt AAR32682 ABGOZZBl CAA55023 AAA22298 E05456 BAB91217 CAH61550 NP_269428 CAL25733 YP_242734 CAA48401 CAA33763 PI—cgt AAR32682 ABGOZZBl CAA55023 AAA22298 E05456 8A891217 CAH61550 NP_269428 CAL25733 YP_242734 CAA48401 CAA33763 PI-C t AAR3 682 ABGOZZBI CAA55023 AAA22298 E05456 8A891217 CAH61550 NP_269428 CAL25733 YP_242734 CAA48401 CAA33763 PI-cgt AAR32682 ABGOZZBl CAA55023 AAA22298 E05456 BABQlZl? CAH61550 NP_269428 CAL25733 YP_242734 LADFNHNNATIDKYFKDAIKLWLDMGVDGIRVDAVKHMPLGWQKSWMSSI LADLNHNNSTIDTYFKDAIKLWLDMGVDGIRVDAVKHMPQGWQKNWMSSI LADLNHNNSTIDTYFKDAIKLWLDMGIDGIRVDAVKHMPMGWQKNWMSSI LADLNHNNSSVDVYLKDAIKMWLDLGVDGIRVDAVKHMPFGWQKSFMSTI LADLNHNNSSVDVYLKDAIKMWLDLGVDGIRVDAVKHMPFGWQKSFMSTI LADLNHNNSTVDVYLKDAIKMWLDLGIDGIRMDAVKHMPFGWQKSFMAAV LADINHNNNAMDAYFKSAIDLWLGMGVDGIRFDAVKQYPFGWQKSFVSSI LADLNHQNPVIDRYLKDAVKMWIDMGIDGIRMDAVKHMPFGWQKSLMDEI LASLNQQHSFIDKYLKESIQLWLDTGIDGIRVDAVAHMPLGWQKAFISSV LAGLNLNNNFVDQYLRDSIKFWLDLGVDGIRVDAVKHMPLGWQKSFVDTI LADLNNINPKVDQYMKEAIDKWLDLGVDGIRVDAVKHMSQGWQKNWLSHI LADYSQENGVVIEHLEKAGKFWKAKGIDGFRHDATLHMNPAFVKGFKDAI LSDLNEDNPAVLDYLAGAYLQWMEQGADAFRIDTIGWMPDRFWHAFVARI Oil“: YA--HKPVFTFGE LGS-AAPDADNTDFANESGMSLLDFRFNSAVRNVF YG--YKPVFTFGEW§LGS-SASDADNTNFANQSGMSLLDJRFNNEVRNVF NN--YKPVFTFGE LGV-NEISPEYHQFANESGMSLLDFRFAQKARQVF NN--YKPVFTFGE LGV-NEISPEYHQFANESGMSLLDFRFAQKARQVF NN--YKPVFTFGE LGV—NEVSPENHKFANESGMSLLDFRFAQKVRQVF YGG-DHPVFTFGE LGA—DQTDGDNIKFANESGMNLLDFEYAQEVREVF DN--YRPVFTFGE LSE-NEVDANNHYFANESGMSLLDFRFGQKLRQVL YD--YNPVFTFGE GA-QGSN-HYHHFVNNSGMSALDFRYAQVAQDVL YN--HKPVFVFGE LGK-DEYDPNYYHFANNSGMSLLDFEFAQTTRSVF YE--KHNVFVFGE SGH-TDDDYDMTTFANNSGMGLLDFRFANAIRQLY DSAPGGPVTHFGEF IGRPDPKYDEYRTFPDRTGVNNLDFEYYNANRQAF REK- RPGVFMFGE DYD-—PAKIAGHTWARNAGVSVLDFPLKQQLSAVF YA--HKPVFTFGEgELGS-AASDADNTDFANKSGMSLLDiRFNSAVRNVF "if" 0*. R-DNTSNMYALOSMINSTATDYNQVNoquFIDNHDMDRFKTSAVNNR-R R—DNTSNMYALDSMLTATAADYNQVNDQVTFIDNHDMDRFKTSAVNNR-R R-DNTSTMVALDSMITSTAADYAQVNDQVTFIDNHDMDRFKTSAVNNR-R R-DNTDNMYGLKAMLEGSEVDYAQVNDQVTFIDNHDMERFHTSNGDRR-K R-DNTDNMYGLKAMLEGSEVDYAQVNDQVTFIDNHOMERFHTSNGDRR-K R-DNTDNMYGLKAMLEGSAADYAQVDDQVTFIDNHOMERFHASNANRR-K R—DKTETMKDLYEVLASTESQYDYINNMVTFIDNHDMDRFQVAGSGTR-A R-NNSDNWNGFNQMIQDTASAYDEVLDQVTFIDNHDMDRFMIDGGDPR—K R-NQKGTMHDIYDMLASTQLDYERPQDQVTFIDNHDIDRFTVEGRDTR-T R-NHEKNMFDLYDMLKNTENNYERVVDQVTFIDNHDMDRFHYDGATKR-N TGFSTFTMRDFYKVLENRDQVTNEVTDQVTFIDNHDMERFATKVANNQTA G- -EFSRSMSDFGQMLVQTSADYMVENQAVTFIDNHDVSRFRYIQPNDK- -P G-HKQAGFEQLATPLYLRKGPYGNPYELMSFYDNHOMARLDAS--DTG-- : ::i( “with: it. LEQALAFTLTSRGVPAIYYGTEQYLT-GNGDPDN ----- RAKMPSFSKST LEQALAFTLTSRGVPAIYYGTEQYLT-GNGOPDN ----- RGKMPSFSKST LEQALAFTLTSRGVPAIYYGTEQYMT—GNGDPDN ----- RAKMPSFSKTT LEQALAFTLTSRGVPAIYYGSEQYMS-GGNDPDN ----- RARIPSFSTTT LEQALAFTLTSRGVPAIYYGSEQYMS-GGNDPDN ----- RARIPSFSTTT LEQALAFTLTSRGVPAIYYGTEQYMS-GGTDPDN ----- RARIPSFSTST TEQALALTLTSRGVPAIYYGTEQYMT-GDGDPNN ----- RAMMTSFNTGT VDMALAVLLTSRGVPNIYYGTEQYMT-GNGDPNN ----- RKMMSSFNKNT TDIGLAFLLTSRGVPAIYYGTENYMT-GKGDPGN ----- RKMMESFDQTT VEIGLAFLLTSRGVPTIYYGTEQYLT-GNGDPYN ----- RKPMSSFDQNT VNQAYALLLTSRGVPNIYYGTEQYAT-GDKDPNN ----- RGDMPSFNKES YHASLAVLLTSRGIPNLYYGTEQYLNPGHGGSDAGRLFLQAAAPAFSEQT FIDAHNWLFTARGIPVIYYGSETGFMRGRAEHAGNRNYFGEERVSNAPQS :fl:flfl:fl :***:* 50 CAA48401 CAA33763 PI—cgt AAR32682 ABGOZZBl CAA55023 AAA22298 E05456 BABQlZl? CAH61550 NP_269428 CAL25733 YP_242734 CAA48401 CAA33763 PI-Cgt AAR32682 ABGOZZBl CAA55023 AAA22298 E05456 5A891217 CAH61550 NP_269428 CAL25733 YP_242734 CAA48401 CAA33763 PI-Cgt AAR32682 ABGOZZBl CAA55023 AAA22298 E05456 8A891217 CAH61550 NP_269428 CAL25733 YP_242734 CAA48401 CAA33763 ,PI-cgt AAR32682 ABGOZZBl CAA55023 AAA22298 E05456 BABQlZl? CAH61550 NP_269428 CAL25733 YP_242734 TAFNVISKLAPLRKSNPAIAYGSTQQRWINNDVYVYERKFGKS--VAVVA TAFNVISKLAPLRKSNPAIAYGSTQQRWINNDVYIYERKFGKS--VAVVA TAFNVISKLAPLRKTNPAIAYGTTQQRWINNDVYVYERKFGNN——VAVVA TAYQVIQKLAPLRKSNPAIAYGSTQERWINNDVIIYERKFGNN--VAVVA TAYQVIQKLAPLRKSNPAIAYGSTQERWINNDVIIYERKFGNN--VAVVA TAYQVIQKLAPLRKCNPAIAYGSTQERWINNDVLIYERKFGSN--VAVVA TAYKVIQALAPLRKSNPAIAYGTTTERWVNNDVLIIERKFGSS——AALVA RAYQVIQKLSSLRRNNPALAYGDTEQRWINGDVYVYERQFGKD--VVLVA TAYQVIQKLAPLRQENKAVVYGSTKERWINDDVLIYERSFNGD--YLLVA KAYKIIQKLAPLRKSNPALAYGTTQERWLNNDVIIYERKFGNN--IVLVA QAYKVISKLAPLRKQNQALAYGTTEQRWISDHVLVFERKFGNH--VALVA VAYRLIGKLSALRQSNDALAYGTTDILFSNDDALVYKRQFFDK-—QVIVA PIFGPLQRIATLRRNTPALQRGVQVDLQLRGDQAAFLRVYQHAGMTQTAL . . .. «u. u. w u - VNRNLSTSASITGLSTSLPTGSYTDVLGGVLNGNNITS----TNGSINNF VNRNLTTPTSITNLNTSLPSGTYTDVLGGVLNGNNITS----SGGNISSF VNRNLSTPTSISGLTTSLPSGTYNDVLAGALSGNNITS---—TGGNVANF INRNMNTPASITGLVTSLPQGSYNDVLGGILNGNTLTVG-—-AGGAASNF INRNMNTPASITGLVTSLPQGSYNDVLGGILNGNTLTVG—--AGGAASNF VNRNLNAPASISGLVTSLPQGSYNDVLGGLLNGNTLSVG---SGGAASNF INRNSSAAYPISGLLSSLPAGTYSDVLNGLLNGNSITVG——-SGGAVTNF VNRSSSSNYSITGLFTALPAGTYTDQLGGLLDGNTIQVG--—SNGSVNAF INKNVNQAYTISGLLTEMPAQVYHDVLDSLLDGQSLAVK---ENGTVDSF INRNLSQSYSITGLNTKLPEGYYYDELDGLLSGKSITVN--—PDGSVNQF INRDQTNGYTITNAKTALPQNSYKDKLEGLLGGQELIVG---ADGTISSF VNRQPDRTVSIPALTTTLPVGTYPDALDGLLYGRTMTVVNQNGALQIPAF VLLNKGDAAADIAVSRLLQPGSWRDAFS ---------------------- o o a it o TLAAGATAVWQYTTAE--TTPTIGHVGPVMGKPGNVVTIDGRGFGSTKGT TLAAGATAVWQYTASE--TTPTIGHVGPVMGKPGNVVTIDGRGFGSAKGT TLAAGATAVWQYTANT--TTPTIGHVGPVMGKAGNTVTIDGRGFGTTKGT TLAPGGTAVWQYTTDA--TAPIIGNVGPMMAKPGVTITIDGR-ASARQGT TLAPGGTAVWQYTTDA--TAPIIGNVGPMMAKPGVTITIDGRGFGSGKGT TLAAGGTAVWQYTAAT-—ATPTIGHVGPMMAKPGVTITIDGRGFGSSKGT TLAAGGTAVWQYTAPE--TSPAIGNVGPTMGQPGNIVTIDGRGFGGTAGT DLGPGEVGVWAYSATE--STPIIGHVGPMMGQVGHQVTIDGEGFGTNTGT LLGPGEVSVWQHISESG-SAPVIGQVGPPMGKPGDAVKISGSGFGSEPGT IINPGEVSIWQFAGET--ITPLIGQVGPIMGQVGNKVTISGVGFGDKKGT ELGAGQVAVWTYEGED--KTPQLGDVDASVGIAGNKITISGQGFGNSKGQ TLAGGEVSVWSHNPPADPAEPHIGEVISTMGRPRNTVYIYGTGLGDA-AA --------------------------------- GEQVQVQGR-------- o a if VYFGTTANTGAAITSWEDTQIKVTIPSVAAGNYAVKVA-ASGVNSNAYNN VYFGTTAVTGSAITSWEDTQIKVTIPPVAGGDYAVKVA-ANGVNSNAYND VYFGTTAVTGSAITSWEDTQIKVTIPAVAAGNYAVKVA-ASGVNSNTYNN VYFGTTAVTGADIVAWEDTQIQVKILRVPGGIYDIRVANAAGAASNIYDN VYFGTTAVTGADIVAWEDTQIQVKIPAVPGGIYDIRVANAAGAASNIYDN VYFGTTAVSGADITSWEDTQIKVKIPAVAGGNYNIKVANAAGTASNVYDN VYFGTTAVTGSGIVSWEDTQIKAVIPKVAAGKTGVSVKTSSGTASNTFKS VKFGTTAAN---VVSWSNNQIVVAVPNVSPGKYNITVQSSSGQTSAAYDN VYFRDTKID---VLTWDDETIVITLPETLGGKAQISVTNSDGVTSNGYD- VNFGEIDAT---IISWTNSVIQIEIPSVPAGNYEITVSSEGGEKSNSYN- VTFGEISAE---ILSWSDTLITLKVPTVPANYYNISVTTADKQTSNSYQA VAFGSQQAA—-—VVSAQDNRIAAVVPNVQAGEYAITVT-KGGKTSNPFR- -------------------- VTLQVPAHG-----VRVLLSDAPVT----- o u o it o 51 CAA48401 PT I LTG DQVTVR FWN NASTTLGQNLY LTGNVAE LG WSTG STAI G — — — P CAA33763 FTILSGDQVSVRFVINNATTALGENIYLTGNVSELGNWTTGAASIG---P er-c t FTILSGNQVSVRFVINNASTTLGQNLYLTGNVAELGNWSTGPLAIG--—P AARB 682 FEVLTGDQVTVRFVINNATTALGQNVFLTGNVSELGNWDP-NNAIG---P ABGO2281 FEVLTGOQVTVREVINNATTALGQNVFLTGNVSELGNwoP—NNArG-——p CAA55023 FEVLSGDQVSVRFVVNNATTALGQNVYLTGSVSELGNWDP-AKAIG---P AAA22298 FNVLTGDQVTVRFLVNQANTNYGTNVYLVGNAAELGTWDP-NKAIG-—-P E05456 FEVLTNDQVSVRFVVNNATTNLGQNIYIVGNVYELGNWDT-SKAIG---P 8A891217 FQLLTGKQESVRFVVDNAHTNYGENVYLVGNVPELGNWNP-ADAIG-—-P CAH61550 FEVLTNKQIPVRFVVNNAYTSWGQNVYLVGNVHELGNWDP—NRAIG—-—P NP_269428 FEVLTDKQIPVRLLINDFKTVPGEQLYLMGDVFEMGANDA—KNAVG-—-P CAL25733 YQVLGGDQVQVIFHVNKXRSRDX -------------------- CLCRGxx YP_242734 -DVALRKQLDAQMADQAARDARNK -------------------------- a it u o CAA48401 AFN--QVIHQYPTWYYDVSVPAGKQLEFKFFKKNG—STITWESGSNHTFT CAA33763 AFN--Qv1HAYPTwYYovsvaGKQLEFKFFKKNG-ArrerGGSNHTFT PI—cgt AFN--QVIYSYPTWYYDVSVPAGTSLEFKFFKKNG-STITWENGNNHTFT AAR32682 MYN-—QVVYQYPTWNYDVSVPAGQTIEFKFLKKQG—STVTWEGGANRTFT ABGO2281 MYN—-QVVYQYPTWYYDVSVPAGQTIEFKFLKKQG-STVTWEGGANRTFT CAA55023 MYN-—QVVYQYPNMNYDVSVPAGKTIEFKFLKKQG-STVTWEGGSNHTFT AAA22298 MYN--QVIAKYPSWYYDVSVPAGTKLDFKFIKKGG-GTVTWEGGGNHTYT E05456 MFN--QVVYSYPT“NIDVSVPEGKTIEFKFIKKDSQGNVTWESGSNHVYT 8A891217 MFN--QVVYSYPTWYYDVSVPADTALEFKFIIVDGNGNVTWESGGNHNYR CAH61550 FFN--QVVYQYPTWNLDISVPADTTLEFKFIKIDESGNVIWQSGLNRVYT NP_269428 LFNNTQTIAKYPNWFFDTHLPINKEIAVKLVKKDSIGNVLWTSPETYSIK CAL25733 ----------- PNWGXGIRTX ------- asras ----------------- YP_242734 -------------------------------------------------- Figure 1.2. Alignment of CGTases. Sources of individual CGTases listed in Table 1 by accession number. PI-cgt is designated by gray box. Stars, * denote identical residues, : denotes conserved strong group residues, . denotes weak group conserved residues. PI-cgt is outlined in gray, the four critical aromatic residues for CGTases are outlined in black. The host strains for each of the included CGTases are shown (Table 1.1). Table 1.1. Source organisms and references for CGTases included in Figure 1.1, and 1.2. Accession . Major CD Number Host Organism produced Reference CAL25733 Bacillus halodurans NI Unpublished . (Takano et AAA22298 Baczllus macerans Ot-CD al., 1986) CAA48401 Paenibacillus illinoinensis strain 8 B-CD (1:11tsilglggft CAA33763 Bacillus lichenformis a-CD & B-CD (Hilégegfk . . . This Pl-cgtl Paembaczllus sp. strain C36 NI Dissertation . .. (Takada et BAB91217 Baczllus clarkn y-CD al., 2003) 52 Accession . Major CD Number Host Organism produced Reference Patent: JP E0545.6 Geobacillus stearothermophilus cL-CD 1993244945- (Translatron) A 1 CAA5 5023 Paenibacillus illinoinensis strain 251 B-CD (Lawson et aL,1994) ABG02281 Bacillus sp. N-227 B-CD Unpublished .. (Thiemann CAH61550 Anaerobranca gottschalkn NI et al., 2004) AAR32682 Bacillus sp. I-5 Nl Unpublished Xanthomonas campestris pv. (da Silva et YP-242734 Campestris NI al., 2002) NP_269428 Streptococcus pyogenes M1 GAS NI (Ferretti et aL,2001) PI-cgt clusters with most other Bacillus CGTases, and more specifically clusters with the most similar group of CGTases from Bacillus lichenformis and P. illinoisensis strain 8, although Pl-cgt is more different from both of these strains than they are from each other. Signal Peptide Analysis CGTase is secreted extracellularly in bacterial strains harboring cgt. Since PI-cgt is a novel CGTase and signal peptides are highly variable, SignalP software was used to predict the cleavage location in Gram positive bacteria (the original host strain), Gram negative bacteria and eukaryotic systems. The Gram positive Hidden Markov models (HMM) predicted a cleavage site between position between 34 and 35 with a probability of 0.96. The Gram positive Neural Networks (NN) gave a slightly different position, between residues 36 and 37 with all scores above the cutoff values, indicating high 53 probability of an accurate cleavage site prediction. With Gram negative HMM, a position between 34 and 35 was predicted with a probability of 0.928. The Gram negative NN gave low scores on the predicted cleavage site (C-score less than cutoff), but high scores on the presence of a signal peptide (S-scores) with the cleavage site predicted to be between positions 34 and 35. For eukaryotic HMM, a cleavage site between positions 34 and 35 was again predicted but with a probability of only 0.463. Eukaryotic NN predicted a cleavage site between positions 23 and 24 with all scores above the cutoff values. The different positions of the predicted eukaryotic versus bacterial cleavage sites are shown in Figure 1.3. MFKWTKRIILSTTLSFSLLAGSA"LPLFPAASVFADA*D Figure 1.3. The predicted PI-cgt signal sequence. Arrow shows predicted eukaryotic cleavage site of the PI-cgt signal peptide. The asterisk shows the predicted bacterial cleavage site. Clear Zone Formation P. sp. C36, E. coli — PI-cgt and E. coli DHSa were all grown on the same plate containing 1% starch basic medium (Figure 1.4). 54 P. sp. C36 ‘— E- 60” DHS; . . ‘ E. coli PI-cgt Figure 1.4. Bacterial clear-zone formation. Shown clockwise from top: E. coli expressing PI-cgt under control of the lac promoter, Paenibacillus sp. C36 parental strain and DH50L negative control. The plate was incubated first at 30°C for 16hrs then at 37°C for an additional 16 hrs. After iodine staining, C36 showed large clear zones surrounding the colonies, E. coli PI-cgt Showed smaller clear zones, and the untransformed E. coli strain, DHSct, did not show any clear zones. Enzymatic optimum temperature determination CGTases are generally considered thermostable enzymes with typical temperature optima in the range of 50-60°C. The temperature Optimum for PI-cgt was experimentally 55 determined for enzyme derived from the original host strain, P. sp. C36 via enzymatic reaction with starch and analysis by phenolphthalein colorimetric determination. A set of three replications of each temperature, 25, 30, 40, 50, and 60°C were included. The 0CD production was measured at 6 hours but BCD levels in several treatments were still relatively low, so reaction time was extended to 24 hours. Complexation of BCD with the phenolphthalein dye results in an exponential curve when absorbance at 550nm is related to [3CD concentration. To obtain a linear relationship, both absorbance and concentration were log transformed (Figure 1.5). From the graph, the lower detection limit for 0CD is approximately lSug/ml. The BCD production over the tested temperatures was highest at 40 and 50°C yielding an average of 667 and 594ug/ml BCD, respectively (Figure 1.6). BCD production dropped off significantly (P<0.1) at lower temperatures, 30°C and 25°C as well as the high temperature, 60°C. There was no significant difference between 40°C and 50°C treatments . Kinetic Studies of 0CD Production The [3CD production increased over time in both P. sp. C36 and E. coli PI-cgt enzymatic reactions with C36 increasing more rapidly than the E. coli strain (Figure 1.7). A spike in [5CD concentration was noted at one hour of incubation in C36 but not in PI-cgt E. coli. This same spike was observed in repetitions of the kinetic study. 56 D ? r5?) 0 %-—~-——o ——-—-- —-- 4 r*-——- -———9—— —-——--—-- --~—-- - -- -*r I E- ’ _ _y=-4.2753X-0.3296 2* -9: E RT=—OB785 e U) m _E __ ...... 1 ‘L ’2‘ E E L i - , _ E _,-_ 0 I m i E L “w ._,_______ _ i EcL- -m .561- 9, z \ ge-e— —-++é+A-—---_ --———-—r —' 9L o?” l I o -08 -06 -0.4 -02 Log(Abs) @ 550nm Figure 1.5. Typical standard curve for colorimetric analysis of [3CD using phenolphthalein. Log values were used to generate a linear relationship. The 0CD concentrations used were: 15.6, 31, 62, 125, 250, 500, and 1000 ug/ml. O 800—~ b b g 600: é 400 -« 5:. l E zoo-l a s I a a 25 so 40 so so Temperature in °C Figure 1.6. Temperature optimum determination for P. sp. C36. Samples of 50111 supernatant were incubated at various temperatures with 200ml starch for 3hours. Analysed for BCD content via the phenolphthalein method (n=3) Statistically similar treatments (or < 0.05) are denoted with the same letter. 57 Quantitative Production of BCD by P. sp. C36 and E. coli PI-cgt The BCD producing capabilities of both C36 and PI-cgt were measured over a set period of six hours. Reaction conditions were the same as the enzymatic Optimum determination, with the temperature being 50°C. P. sp C36 and E. coli PI-cgt strains produced 7173 ng and 7231 ng [3CD per microliter of enzymatic solution respectively. The average [3CD production per hour per mg cell dry mass was 897 ng and 1808 ng for C36 and PI-cgt respectively. TLC of bacterially produced CDS Thin Layer Chromatography showed that the three cyclodextrins each had slightly different RF values with or, B and y having 0.46, 0.42 and 0.38 respectively. However, when run together the individual CDS merged into a single spot. Fused spots were found in both bacterial enzymatic reactions at similar locations to the standards, implying that all of the three major CDS were produced, or, B and y. No spots were produced by the E. coli DHSa lacking the PI-cgt plasmid, correlating spot production with the presence of PI-cgt in the bacterial host. Figure 1.8 Shows a representative TLC plate. 58 1200 , +picso‘ 636 I 2 g 2 I L _____ -g Minutes of Incubation Figure 1.7. CGTase Kinetic reaction Showing [3CD production over time. ug/ml [3CD is given per mg of total solution protein, x axis Shows minutes of incubation at 55°C. (n = 3) ’ C36 PI- t 01 I3 Y coli? ‘ ‘ [cg 1);?“ 0.13.7 Figure 1.8. Thin layer chromatography analysis of CDS by CGTase producing bacteria. 0., l3, and yCD are shown as standards. C36, PI-cgt and DHSOI were incubated for 5 hours. 59 DISCUSSION A novel CGTase has been cloned from P. sp C3 6. This gene clusters with the similar CGTases from B. lichenformis and P. illinoisensis strain 8, although it is more dissimilar from these two CGTases than they are from one another. The well characterized CGTase from B. circulans strain 251 clusters more distantly but most of the CGTases from Bacillus species form a single group. Bootstrap values for most branches were high being 99 or 100. The lowest value near the base of the tree was 81. PI-cgt was overall most Similar to or and BCGTases and least similar to yCGTases such as that from Bacillus clarkia and more distant organisms such as Xanthomonas and Streptococcus. The Bacillus halodurans CGTase also clustered very distantly from the other Bacillus CGTases indicating alkaliphiles may impose very different evolutionary constraints on CGTases in mesophilic species. The sequence similarities of PI-cgt to CGTases with known CD products give a strong indication that PI-cgt probably produces primarily BCD and aCD. A signal peptide sequence was also detected in PI-Cgt that appears to be unique, among CGTases, although signal sequences usually exhibit high variability (Bendtsen et al., 2004). Cleavage site prediction showed the same location and a strong signal for both Gram positive and Gram negative bacteria with much lower scores for eukaryotic prediction. PI-Cgt Shares all of the strictly conserved domains found in other CGTases including calcium binding residues present in A Domain, the circular B Domain and the raw starch binding Domain E (Rahman et al., 2006). PI-cgt also contains the four aromatic residues thought to be critical for CGTase function and specificity (N akamura et aL,1994) 60 Starch plate clearing showed clear zones produced by both C36 and PI-cgt. However clear zones produced by the original host strain, C36 were much larger than those produced by the E. coli strain DHSct containing the cloned CGTase. This may be partially due to the plate having been incubated at a sub-optimal temperature, 30°C for E. coli. However, when the experiment was repeated with the bacteria growing separately at their respective optima and preferred medium, the same difference in clear zone size was noted. The smaller clear zone may be indicative of inefficient secretion of Pl-cgt from E. coli cells. Since PI-cgt originated from Paenibacillus, a Gram positive bacterium, secretion through the more complex Gram negative membrane system may be difficult, and smaller clear zones might reflect a difference in secretion efficiency. Effective signal peptide function in a heterologous host is somewhat unusual in CGTases though not unheard of, which commonly Show little to no secretion in heterologous expression systems (Lee et al., 2002). The signal sequence from Brevibacillus brevis CD162 CGTase could be secreted from E. coli cells (Kim et al., 1998). Signal peptide prediction software, using HMM indicated a high probability for the Gram negative cleavage location of PI-cgt to be identical to that of the Gram positive location, a strong indication that the PI-cgt signal peptide would be functional in a Gram negative bacterium such as E. coli. PI-cgt showed a marked preference for higher temperatures in temperature optimum studies, this is typical for CGTases being thermostable enzymes with PI-cgt showing a similar temperature optimum to other CGTases derived from Bacillus species (Rahman et al., 2006). However, it is important to note that under field conditions CGTase operates at substantially lower temperatures Since many CGTase producing 61 bacteria are mesophilic soil-dwelling organisms, and strain P. sp C36 was isolated from temperate field soil (Qi and Zimmerrnann, 2005). High temperature stability in CGTases may reflect long-term stability in extracellular environment or perhaps a simple coincidence in enzyme functionality and temperature stability. The kinetic starch degradation studies showed increased production of [3CD over time, with C36 Showing the highest rate followed by the recombinant, E. coli. It is possible that the lower 0CD production by E. coli PI-cgt is simply due to lowered secretion of CGTase rather than lower activity of the enzyme itself. The solution protein levels from supematants both bacterial species used in enzymatic reactions were very similar. Similar total protein concentration may not reflect the relative abundance of PI- Cgt in that solution. Also of note was the very high levels of [3CD found in the medium at 1 hour which was immediately followed by lower concentrations measured at 2 hours. This Spike is primarily due to a single high concentration sample of the three replications, indicating the degree of increase in concentration is strongly exaggerated by this sample. If this sample were removed, the remaining samples still Show an initial spike in concentration somewhat higher than the second time point but not higher than the final time point. Previous experiments also showed a spike in 0CD concentration by C36 at approximately the same reaction time. This observation may be because CGTases can degrade CDS as well as synthesize them. CGTases often degrade larger CDS to smaller CDS when incubated over longer periods (Schmid, 1989). The faster reaction seen in the C36 strain could be due to the presence of an additional enzyme such as cr-amylase since the enzyme extract was not specifically purified for CGTase. In steady state analysis of the two enzymes over 6 hours, relatively similar BCD production was observed indicating 62 that while the initial reaction rate of C36 CGTase may be faster, E. coli PI-cgt can eventually approach the BCD production of C36. TLC of bacterial starch reactions showed that both the original host strain and cloned E. coli CGTase were capable of producing all of the standard CDS. Lighter Spots produced by PI-cgt versus P. sp. C36 probably reflect the lower CD production by the E. coli expressed CGTase. This again may also simply reflect lower CGTase secretion by E. coli cells. Careful examination of the intensity of Spots on the plate seem to indicate a in intensity bias towards more quickly migrating CDS, possibly indicating that PI-cgt may produce more (1 and B CD than yCD. For improved production of PI-cgt in E. coli, modification of the signal sequence may be required. Additionally, the codons of PI-cgt may be sufficiently different from E. coli to reduce expression somewhat, since the codon usage of Bacillus species and E. coli are not identical. CONCLUSION In this study, a novel cgt gene was cloned from a Bacillus relative. Its sequence was examined via several different comparison metrics and unique sequence features were found within PI-cgt. Bacterially produced enzyme from both Paenibacillus sp. C36 and E. coli transformed with PI-cgt was capable of degrading starch and producing BCD and other CDS. The clear zones produced by E. coli PI-cgt give strong evidence that the signal sequence from P. sp. C36, a Gram positive bacterium can function in a Gram negative species, confirming signal peptide prediction. However, CD production by E. coli was somewhat lower than that produced by strain C3 6, indicating that either the 63 Signal peptide may not efficiently translocate PI-Cgt through the E. coli membrane or the E. coli produced enzyme may simply be less efficient than the C36. These bacterial studies are a proof of concept, showing that the cloned P. sp. C36 CGTase is firnctional in a heterologous host. Further characterization and manipulation of PI-cgt would give a fuller picture of the nature of the enzyme and the precise ratio of or, B and yCDs. Examination of the CD ratio produced by the P. sp. C36 CGTase could give additional information for understanding how CGTase sequences relate to the production of specific CDS. Future comparisons of other CGTases may allow for the isolation of superior enzymes for in-situ CD production. 64 LITERATURE CITED Apostolo, N. M., Brutti, C., Ferrarotti, S. A., Llorente, B. E., and Krymkiewicz, N. (2001). 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CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position specific gap penalties and weight matrix choice. Nucleic Acids Research 22, 4673-4680. Uekama, K., Hirayama, F ., and Irie, T. (1998). Cyclodextrin drug carrier systems. Chemical Reviews 98, 2045-2076. Uitdehaag, J. C. M., Kalk, K. H., van der Veen, B. A., Dijkhuizen, L., and Dijkstra, B. W. (1999). The cyclization mechanism of cyclodextrin glycosyltransferase (CGTase) as revealed by a gamma-cyclodextrin-CGTase complex at 1.8-angstrom resolution. Journal of Biological Chemistry 274, 34868—34876. Wang, J. M., Maier, R. M., and Brusseau, M. L. (2005). Influence of hydroxypropyl- beta-cyclodextrin (HPCD) on the bioavailability and biodegradation of pyrene. Chemosphere 60, 725-728. Wind, R. D., Liebl, W., Buitelaar, R. M., Penninga, D., Spreinat, A., Dijkhuizen, L., and Bahl, H. (1995). Cyclodextrin formation by the thermostable alpha-amylase of T hermoanaerobacterium thermosulfurigenes Em] and reclassification of the enzyme as a cyclodextrin glycosyltransferase. Applied and Environmental Microbiology 61, 1257-1265. 68 CHAPTER II Plant expression of bacterial Cyclodextrin Glycosyltransferase for cyclodextrin production Sarah Kinder Department of Crop and Soil Sciences Michigan State University INTRODUCTION Biological production of industrial and pharmacological compounds in plants has become an important emerging technology. While plants have been used primarily for the sources of food and fiber, harnessing them as biological factories is a more recent development. Plants have been used for the production of heterologous proteins with pharmaceutical applications, such as antibodies and enzymes (Berberich et al., 2005; Girard et al., 2006), industrial plastic precursors and other industrial compounds (Conrad, 2005). Production of bioactive proteins, bioplastics and other biologically active materials in plants may be cleaner and more economical than animal cell cultures or synthetic production. One biological compound with a wide variety of industrial, food and cosmetic uses is cyclodextrin (CD). Cyclodextrins are cyclic sugars synthesized by bacteria from starch and capable of enhancing the solubility of various hydrophobic compounds (Szejtli, 1988). CD molecules orient the primary and secondary sugar hydroxyls along the outer edges of the torus-shaped molecule with the ether linkages positioned in the interior, hydrophobic region. CDS are commonly composed of 6, 7, and 8 glucose units (termed or, B, and 7CD, respectively) each capable of associating with different compounds due to the distinct cavity sizes. Host molecules become complexed within the 69 cyclodextrin, which provides enhanced stability, protection from oxygenating factors and light-induced decomposition as well as solubility and biological absorption (Kamiya and Nakamura, 1995; Loukas et al., 1994; Uekama et al., 1998). CDS can also block bitter tastes in medicines and foul odors in the environment by entrapment of the source compounds and prevention of binding to taste and scent receptors (Szejtli and Szente, 2005). CD5 have been used as soil or solution amendments to accelerate environmental remediation treatments, including soil washing and biodegradation applications (Bardi et al., 2000; Molnar et al., 2005; Viglianti et al., 2006; Wang et al., 2005; Wang and Brusseau, 1995). Cyclodextrin is typically produced on industrial scales using the preparations of the bacterial enzyme cyclodextrin glycosyltransferase (CGTase) in large vat reactors with starch as a feedstock (Starnes, 1990). Starch is first liquefied using either heat or amylase treatment followed by addition of CGTase. CGTases always produce a mixture of (1, [3, and y cyclodextrin in ratios dependent on the CGTase source and reaction conditions, so the production of a pure CD form can be difficult. [3CD is the easiest to purify since it has low water solubility compared to the other CDS and precipitates at high concentrations. The more water soluble ctCD and yCD compounds must be separated by chromatographic techniques to achieve pure reagent forms, though organic solvents may be added as complexing agents to help separate the individual cyclodextrins by enhanced precipitation (Lee and Kim, 1991). Commercial and industrial applications for CDS are increasing with global CD production in excess of 10,000 tons per year and concurrent economy of scale reducing [3CD costs to only a few dollars per kg (Szejtli, 2004). 70 An alternative to bacterial CGTase enzyme production is development and utilization of transgenic plants or plant cell cultures. Plants may be capable of producing higher quantities of CGTase and perhaps more efficiently than bacteria due to the ability of plants to grow in less stringently controlled conditions than bacterial cultures. CD produced by plants would be free of pathogenic contaminants present in animal based culture systems and could require less post-synthesis processing. For environmental remediation applications, in situ CD production would be an effective alternative to labor intensive addition of CD amendments to the soil or maintenance of CD-producing organisms. Since plant starch is typically found only within the sub-cellular plastid compartment, direct plant secretion of CDS from roots would likely involve considerable metabolic engineering. It may be advantageous to engineer plants to secrete CGTase into the rhizosphere essentially in the same manner as CD-producing bacteria. This strategy is in contrast to previous efforts to express CGTase in potato tubers to produce CD within plant amyloplasts as a substitute for conventional industrial CD sources, which resulted in ineffective CD accumulation (Oakes et al., 1991). Rhizosecreted CGTase may offer a more manageable solution to CD production using plants, rather than labor intensive addition to soil or addition of potentially problematic bacterial strains. The similarity of prokaryotic signal peptides to those in eukaryotes should allow plants engineered with the bacterial cgt gene to secrete CGTase into the surrounding matrix without further modification (Hall et al., 1990). Using a bioreactor approach, extracellular CGTase would be able to degrade starch in hydroponic system to provide an easily extractable CD. 71 AS a direct application to in situ contaminant remediation, CGTase secreting plants could be planted directly in contaminant soils. Plant produced CGTase could convert starch present in soil due to exogenous addition or released during root turnover to cyclodextrin, potentially enhancing the degradation rate of persistent organic pollutants. The objective of this study is to transfer a bacterial cgt gene into laboratory plants and evaluate cgt transgenic expression and product function. If effective, this approach could provide an efficient alternative source of reagent grade cyclodextrin and possibly a new tool for environmental bioremediation. MATERIALS AND METHODS Cgt Gene Vector Construction The PI-cgt gene was cloned from Paenibacillus sp. strain C36 as previously described (Settavongsin, 2005). The gene was subcloned from the bacterial expression vector, pBS SK' using XhoI and Sac], into plant expression vectors, pAPC-9K and pE1778. The expression cassettes of these vectors each contain different promoters such as Arabidopsis Actin2 and the “super promoter” construct to drive expression of the cgt gene in plants (An et al., 1986; An et al., 1996). The “super promoter” was derived from the mannopine synthase promoter and multiple octopine enhancer elements originally found in Agrobacterium spp. (Ni et al., 1995). Both promoters are constitutively expressed at high levels in all tissues, though the “super promoter” is more active in root tissue. The transcription terminator used in the Actin2 gene expression cassettes is PE21 from Citrus sinensis cv. Valencia (sweet orange) pectinesterase gene (N aim et al., 1998). The expression cassette was excised from pAPC-9K using SpeI, Xbal, and Xmal restriction 72 enzymes cloned into the binary vector pCAMBIA (Gene bank accession #AF234296) (CAMBIA Institute, Canberra, Australia). Spcl Notl Xhol Sacl Xmal Actin-2 PE21 pAPC-9K Xba I Xmal 3SS-term + {CaMV3531 hpt | r—* RB "" LB Figure 2.1. Diagram of the pAPC9K and pCAMBIA 1300 cloning vectors. To create plant expression constructs using the Arabidopsis Actin2 promoter, PI- cgt was excised from pBS-PI-cgt using NotI and SacI and inserted into pAPK-9K using the same restriction enzymes, resulting in pAPC-9K-PI-cgt. Expression cassettes of pAPC-9K containing PI-cgt were excised using SpeI and XmaI restriction enzymes and inserted into pCAMBIA 1300 cut with XbaI and Xmal. The resulting construct was named pCAMBIA-Act-PI-cgt. PE1778 constructs were created by excising PI-cgt from pBS-PI-cgt using XhoI and Sac] restriction enzymes, pE1778 was cut with these same two enzymes to allow the insertion of PI-cgt. Completed pCAMBIA and pE1778 constructs were transformed into electrocompetent Agrobacterium LBA4404 (Invitrogen, Carlsbad, CA) via electroporation using a Bio-Rad Micropulser according to the manufacturer’s recommendations (Bio-Rad, Hercules, CA). A grobacterium 73 transforrnants were screened using semi-solid YM plates containing, 0.4g/L yeast extract, 1% mannitol, 1.7mM NaCl, 0.5mM MgSO4'7H20, 2.2mM K2HP04, and 15g/L Bacto agar (Sigma, St. Loius, M0) supplemented with 100mg/L kanamycin for pCAMBIA or pE1778 selection and 100mg/L streptomycin for Ti plasmid selection. KanR, StrR colonies were grown in liquid LB medium (lOg/L NaCl, 5g/L yeast extract, lOg/L Bacto tryptone (Beckton Dickinson, Sparks, MD) for plasmid DNA extraction and analysis. Agrobacterium colonies displaying appropriate enzyme digested DNA bands fragments via gel electrophoresis analysis were utilized in subsequent plant culture transformation procedures. Plant Transformation Tobacco transformation Tobacco (Nicotiana tabacum) cv. Little Havana transformation was carried out using a standard method for co-cultivation of leaf sections with A grobacterium LBA4404 (Invitrogen, Carlsbad, CA) strains harboring the plant expression vector containing the cgt gene construct and the selectable marker genes. Agrobacterium strains were grown in liquid culture for tobacco leaf sections inoculation. Transformation was performed by growing the strain of interest for two days in YM medium. Agrobacterium cell preparations were spun down and resuspended in 500p] of fresh YM medium. Semi-solid Murashige and Skoog medium (MSO: 25g sucrose/L, B5 vitamins lOOmg/L myoinositol, 10mg/L thiamine-HCI, 1mg/L nicotinic acid, 1mg/L pyroxidine-HCI and 7g/L phytagar) (Invitrogen, Carlsbad, CA) was utilized as a standard basic tissue culture medium (Murashige and Skoog, 1962). Tobacco leaf 74 sections approximately l-2cm square were pro-incubated without Agrobacterium on M80 medium for 1-2 days then transferred to 1.5mL microtubes containing the resuspended A grobacterium solution, then vortexed for 30 seconds and allowed to stand for approximately 5 minutes. Afterwards the tissue sections were blotted dry using sterile filter paper and placed on non-selective, M80 medium. After a period of two days, the leaf sections were transferred to semi-solid M80104 which contained, in addition to M80 ingredients, plant growth regulators 1mg/L benzylaminopurine (BA), 0.1mg/L 1- napthaleneacetic acid (N AA) (Invitrogen, Carlsbad, CA), and either 25mg/L hygromycin (for pCAMBIA—PIcgt) or 300mg/L kanamycin (for pEl778—PI-cgt) as selection agents and 400mg/L timentin (Smithkline-Beecham, Philadelphia, PA) to control the growth of Agrobacterium. After about one month shoots began to form and once true leaves had formed, shoots were excised and placed on rooting media which consisted of M80 medium at 6g/L phytagar, without plant growth regulators, containing antibiotic selection of 25mg/L hygromycin or 100mg/L kanamycin and 400mg/L timentin. Rooted plantlets were placed in 1 gallon round pots containing free draining potting soil (Baccto High Porosity Professional Potting Mix, Michigan Peat, Houston, TX) and grown in a temperature controlled greenhouse (25-3 0°C) for seed production. Each plant was reproductively isolated from the others via placement of an isolation bag over the flowers before opening. Entire inflorescences were removed from the plant once capsules were filled and beginning to dry. Bags containing inflorescenses were stored under greenhouse conditions until fully dry. One to two dry capsules were harvested from each 75 inflorescence, seeds placed in 1.5ml microtubes and stored at 4°C until use. These seeds were called the T1 generation. Arabidopsis Transformation Arabidopsis thaliana (ecotype RLD, Lehle Seeds, Round Rock, TX) was transformed using the vacurun infiltration method. Vacuum infiltration draws Agrobacterium cells into Arabidopsis floral tissues, where DNA transfer occurs in developing ovules (Ye et al., 1999). Vacuum infiltration was performed as follows: 4 1/2 inch pots were filled with wet potting soil (Baccto High Porosity Professional Potting Mix, Michigan Peat, Houston, TX). Standard size window screen was cut into squares and placed over the top of mounded soil, held in place by rubber bands. Arabidopsis seeds were mixed with sand in an approximate 1:10 ratio, and placed in a salt shaker. The sand and seed mixture was shaken over the pots to evenly distribute seed, with soil being kept moist until seed germination. After approximately 1-2 weeks any excess plants were removed, resulting in approximately 7-10 mature Arabidopsis plants growing in each pot. The plants were allowed to mature until the primary inflorescenses began to emerge and elongated to approximately 3-4 inches. At this stage primary inflorescenses were cut and the plants placed in the plant growth chamber for 1-2 days prior to Arobacterium transformation. Agrobacterium cultured overnight in 5m] YM medium containing 100mg/L streptomycin and 100mg/L kanamycin after which one rrrl culture was used to inoculate 500ml of the same selective YM medium and grown on orbital shaker 1-2 days at 28°C. After incubation the culture was Spun down and resuspended in IL of infiltration medium 76 consisting of 1/2X Murashige and Skoog salt mix (Murashige and Skoog, 1962), 1X BS vitamins (listed in M80 medium above), SOg/L sucrose, 0.5g 2-[N- morpholinojethanesulfonic acid (MES) and 0.044uM BA. 200p] Silwet L-77 (Lehle Seeds, Round Rock, TX) was added to the Agrobacterium suspension and mixed well. The bacterial solution was placed in a 600m] beaker and pots containing Arabidopsis to be infiltrated were placed upside down into the filled beakers. The beakers were placed inside of an 18.9L polycarbonate vacuum chamber (N algene, Rochester, NY). Vacuum was pulled to approximately 15mm Hg on the system for 5 minutes, then the vacuum source was removed and pressure was held for another 2 minutes. Afterwards pressure was released slowly and pots were removed from the beakers, laid on their sides in a large tub covered with plastic wrap. Pots were left covered for one full day after which they were set upright and watered well. Plants were allowed to develop normally until seed set. Pots containing mature plants were placed on their side and inflorescences were placed in bags until the entire plant was dry. Seeds were collected from infiltrated and non-infiltrated control plants once the Siliques appeared fully mature and near dryness. Seeds were then harvested via gentle compression of the bag followed by screening to remove chaff and other dry contaminants. Collected Arabidopsis T1 generation seeds were placed in 1.5ml microtubes and stored at 4°C. Transgenic Seed Screening and Selection Seeds of tobacco and Arabidopsis were sterilized with 15% household bleach (6.15% sodium hypochlorite, Clorox Company, Oakland, CA) for 15 minutes followed by two rinses with sterile water. 77 For Arabidopsis, plating of seed represented the initial screen for transformed lines. Seedlings showing resistance to hygromycin had incorporated the marker hpt gene and likely the cgt gene as well. Seeds were germinated on selective medium - MS salts only with 7g/L phytagar plus 25mg/L hygromycin. Resistant seedlings were scored as putative transforrnants and removed from selective medium and planted in 2 1/2 inch pots as soon as they were recognized. Resistant seedlings were allowed to grow and set seed, which was narrred the Arabidopsis T2 generation. Ratios of resistant to susceptible seedlings in T1 tobacco seed lots were used to estimate the copy number of the PI-cgt gene. A three to one ratio of resistant to susceptible seedlings is consistent with a single site of genome integration. Resistant seedlings were removed from selection promptly and greenhouse grown as previously described, with the resulting seeds being labeled the tobacco T2 generation. Seeds from subsequent generations were also screened on antibiotic containing media. The results of seedling screening on Arabidopsis and tobacco are shown in Tables la and 1b. Transgenic Plant Genomic PCR Screening Genomic DNA extracts from putative transgenic plantlets of both Species were screened for integration of the gene of interest using PIcgt specific primers in PCR. Genomic DNA extracts were generated using the DNeasy plant kit (Qiagen, La Jolla, CA) according to manufacturer instructions. PCR reactions were carried out using 0.5 — 1.0ul genomic DNA template, 2ul 10X PCR Buffer (SOOmM KCl, 100mM Tris*Cl (pH 8.8) 1% TritonX), 0.6111 50mM magnesium chloride, 0.5111 of 10pm forward and reverse 78 primers 0.25 pl of 100mM dNTPS, and 1.0rrl of crude Taq polymerase extract with the total reaction volume being 20p]. Crude Taq polymerase was generated by growing Esherichia coli expressing Taq polymerase in Super Broth, which contains (16g Tryptone, 10g Yeast Extract, 2.5g NaCl 2.5m] of NaOH with the final volume being 500ml. Overnight cell cultures were spun down and resuspended in Buffer A consisting of, 50mM Tris (pH 8.0), 50mM dextrose, lmM Ethylenediaminetetraacetic acid (EDTA) pH8.0. Buffer B consisting of, lOmM Tris pH 8.0, 50mM KCl, lmM EDTA pH 8.0, 0.5% Tween 20, 0.5% NP-40, was added to lyse the cells, which were then incubated at 75°C for one hour. Cells were again spun down with the supernatant being mixed 1:1 with storage buffer (50mM Tris pH 8.0, 100mM NaCl, 0,1mM EDTA pH 8.0, 0.5mM DTT, and 50% glycerol). This solution was diluted again 1:1 with 80% glycerol, resulting in the working solution of crude Taq polymerase which was stored at —20°C until use. RT-PCR-expression analysis RNA was extracted from leaves using the RNeasy kit (Qiagen, La Jolla, CA) along with on-column DNase digestion using the RNase-free DNAse set. The cDNA synthesis was performed using Superscript II reverse transcriptase (Invitrogen, Carlsbad, CA) according to the manufacturer’s instructions. PCR reactions for cloning were performed in reactions containing, 0.5 -— 1.0ul template, 2p] PCR buffer (500mM KCl, 100mM Tris-HCI (pH 8.8) 1% TritonX), 0.6111 50mM MgCl2, 0.5ul of 10pm forward and reverse primers 0.25 pl of 100mM dNTPs, and 1.0111 of crude Taq polymerase extract with the total reaction volume being 20ul. The thermocycler conditions were as follows: 79 A primary denaturation step, 94°C for 3 minutes followed by 40 cycles of 94°C 30 seconds, 55°C annealing temperature for 30 seconds and a 68°C extension temperature for 45 seconds. RT-PCR products were run on agarose gels of concentration from 0.8 — 1% in Tris-acetate EDTA at 100 V for 1 hour. Reactions using primers designed for the selectable marker gene were run in parallel as an expression and cDNA preparation control. Gels were stained with 0.8mM ethidium bromide in water for 15 minutes and visualized under UV light using a Bio-Rad Quantity One Gel Documentation system (Bio-Rad, Hercules, CA). Starch Agar Clearing The simplest CGTase expression assay is the clearing of starch. Putative CGTase expressing plants were placed in 1X Murashige and Skoog media containing 1.0-0.1% starch and 7g/L Phytagar (Murashige and Skoog, 1962). After growing on the medium for 2-3 weeks, starch agar is stained with a 1:30 aqueous dilution of an iodine solution consisting of 10% potassium iodide 1% iodine and 50% ethanol by mass with water. Starch forms a deep blue colored complex with iodine. Iodine dye does not form a colored complex with cyclodextrin, causing areas of starch degradation and CD production appear as clear regions on a blue-black background of agar. Arabidopsis and Tobacco Plant Tissue Preparation Tobacco plants were grown individually in 300ml Erlenmeyer flasks filled with 1/5X MS salt medium. Plants were watered once weekly and allowed to grow to near maturity. Samples of approximately 15ml of hydroponic medium were removed and 80 concentrated using a filtration/concentration apparatus (Millipore, Billerica, MA) using a centrifuge at 2000Xg for 20 min, resulting in approximately 500ul crude preparation which was used directly in enzymatic reactions with starch. Sterilized tobacco and Arabidopsis seeds in aqueous solution were added to 30mls of sterile MS salts medium in sterile 150ml Erlenmeyer flasks capped with aluminum foil. These flasks were placed on a rotary shaker inside of a growth chamber under 16h day and 86 p.mol/s"‘m2 and approximately 25rpm. After 15 - 30 days of growth 15ml of hydroponics medium were concentrated using the same method as for adult plants to between 250ul and 500u1. Crude preparations were removed from the apparatus and used immediately or stored at 4°C for future use. Plant tissue was removed from the flask and weighed to determine the biomass present in the system, plant tissue was dried in an oven at 60°C and weighed again after drying to determine dry biomass. Colorimetric [3CD Assay Enzymatic reactions were carried out by placing 50p] of the concentrated plant enzymatic solution in 200ul of 1.25% starch in pH 6.0 lmM phosphate buffer. The enzymatic reactions were placed in a 50°C incubator shaking at 200 rpm for a minimum of 2 hours up to several days. After the incubation time had elapsed a 50ul aliquot of the enzymatic reaction was analyzed for phenolphthalein color reduction by addition of 25p] of 0.4mM phenolphthalein and 20p] of 1M NaC04 mixed in a 96 well microplate. After light shaking and standing for a few moments, the plates were read at 550nm with a Spectra Max 190 (Molecular Devices, Sunnyvale, CA) spectrophotometer equipped with a microplate reader. The [3CD produced was quantified via comparison of absorbance to a 81 standard curve of known quantities of 0CD. The curve produced was an exponential reduction in color in response to increasing [3CD concentration. Both concentration and absorbance were log transformed to result in a linear relationship. Thin Layer Chromatography Thin layer chromatography (TLC) was performed to separate and identify the different CDS. 2rrl of starch reaction was spotted 4 times to a 10cm X 20cm silica gel 60/Kieselguhr 1:254 aluminum TLC sheet (EM Science, Gibbstown, NJ). or, [3, and yCD (Sigma, St. Lois, M0) were used as standards and spotted from 1% solutions to run adjacent to starch reactions, these standards were spotted only once. The mobile phase was acetonitrile-water-ammoniurn hydroxide (6:3:1) with plates being run in a sealed' glass TLC tank. Completed TLC plates were sprayed with Vaugh’s solution (1 g Ce(804)2, 24g (N H4)2M004, 50ml concentrated H2804 and 450ml H20) using a TLC sprayer and developed by heating on a hot plate until blue spots appeared. RESULTS Selection of cgt Plant lines Both the Super Promoter and Actin2 Promoter constructs were transformed into tobacco (Nicotiana tabacum) cv. Little Havana. The transformation resulted in the production of 12 independent transgenic lines with seven of these being selected for firrther screening. These lines were allowed to grow and set seed. Using the appropriate antibiotic marker, seed lots were screened by sterile plating. Most transgenic lines 82 displayed segregation ratios consistent with a Single-copy transgene integration (Table 2.1a). Table 2.1a. Selective marker segregation analysis for T2 generation tobacco seeds. PC lines use hygromycin selection, PE lines use kanamycin selection. Line Hyg/KanR Hyg/KanS Segregation ratio PC8A7 55 12 ~3 :1 PC 1B2 56 0 All positive PE3A1 39 14 ~3 :1 PE] 1A1 49 17 ~3 :1 PE] 1A4 50 14 ~3 :l PE13A2 53 15 ~3:1 PE2B4 54 15 ~3 :1 Kan“: Transformed lines resistant to kanamycin KanS= Transformed lines susceptible to kanamycin Only the Actin2 promoter construct was utilized in Arabidopsis transformation. Six lines of cgt-Arabidopsis were generated. Of these lines, only one was found to be homozygous after the T2 generation, cgt1-5 (Table 1b). Table 2.1b. Selective marker segregation analysis for T2 generation Arabidopsis seeds Line Hygft HygS Segr_egation ratio PIcgt1-3 27 15 ~3:1 PIcgtl-S 3 1 0 All positive PIcgt13 18 10 ~32] PIcgtl4 19 10 ~3:1 PIcgtl-6 15 10 3:2 PIcgtl-l 15 26 1:1 Hng= Transformed lines resistant to hygromycin Hygs= Transformed lines susceptible to hygromycin This result may indicate multiple insertion events in line cgtl-5 but confirms single integration events for the cgtl-l, cgt14, and cgtl3 with ratios of resistant to 83 susceptible seedlings near 3: 1. Several lines exhibited low ratios, with some lines such as cgtl-l Showing a 1:1 ratio. Starch Clearing Several transgenic lines of both tobacco and Arabidopsis have exhibited enhanced ability to degrade starch by the formation of a zone of clearing in the blue iodine-starch region of the medium. Wild type strains of either species either produced only faint clear zones or none at all. Arabidopsis transforrnants appeared to be capable of forming larger . clear zones than tobacco plants of Similar Size. Clear zone formation by Arabidopsis seedlings also appeared to be both more rapid and extensive than with tobacco seedlings. Interestingly, smaller Arabidopsis seedlings also seemed capable of forming larger clear zones than their more developed counterparts (Figure 2.2). PCR and RT-PCR All seven lines chosen for further testing have been shown to be positive for hygromycin or kanamycin resistance. Six of these tobacco lines were Show to be positive for genomic PCR. The seven tobacco lines were tested in RT-PCR, with the 5 tested Showing a positive reaction. Out of 3 Arabidopsis lines tested for RT-PCR, 2 showed a positive result for PIcgt expression and hptII expression. RT-PCR results from Arabidopsis correlated well with the observed quantity of cyclodextrin produced with those exhibiting a positive result in RT-PCR also producing detectable quantities of BCD. Example gels of tobacco and Arabidopsis RT-PCR reactions are shown in Figures 2.3a and 2.3b. 84 wt cgtl-S Figure 2.2. Clear zone formation by cgt-arabidopsis. Upper plate shows before iodine staining. Lower plate shows clear zones in 0.1% starch agar formed by Cgt-expressing Arabidopsis line, cgtl-S 85 Figure 2.3a. RT-PCR of Arabidopsis lines. Left gel is with cgt primers Right gel is with hygromycin control primers. Arrows denote expected fragment size RNA controls cgt cDNA RNA controls cgt cDNA cgt primers hyg primers Figure 2.3b. RT-PCR of tobacco lines. Lefi gel contains hygromycin primers, right gel is cgt primers. Arrows denote expected fragment sizes. RNA controls PC lines cDNA RNA controls PC lines cDNA hyg Primers cgt primers 86 BCD production Adult tobacco hydroponics failed to produce detectable quantities of 0CD. Concentrated Arabidopsis seedling hydroponic solution did produce detectable quantities of BCD after 48 hours of incubation. Quantities of BCD continued to increase over extended incubation time in Arabidopsis seedling exudates. 0f 6 tested tobacco lines, seedling hydroponics also failed to produce detectable quantities of 0CD even after 48 hours of incubation. Only one tested tobacco line did produce detectable quantities of [3CD despite positive RT-PCR reactions from all lines. Lines cgt1-5 and cgt13 produced the highest quantities of [1CD with cgt1-3 producing little to no BCD confirming the negative RT-PCR result in this line (Figure 2.4). The quantity of 0CD produced using the enzymatic assay was 5300ng/mg dry tissue averaged across functional arabidopsis lines at 120 hrs of incubation and 1120ng/mg tissue in the single functional tobacco line at 72 hrs. Both values are much higher than the reported in-tuber production of transgenic potatoes, which was approximately 5 - 25ng/mg dry tissue (Oakes et al., 1991). However, comparisons between the two types of transgenic plants may be unfair due to the facts of in-tuber production versus an in-vitro incubation at the optimal temperature for the enzyme. The TLC assay for the various CDS showed that plant produced CGTase is capable of synthesizing all of the usual CDS as evidenced by the multiple fused spots found in plant enzymatic reactions. The Rf values were determined for each of the CDS when rrm separately, 0.49, 0.42 and 0.40 for or, B and yCD. However, when run together the CDS fused into a single long Spot. There did appear to be less quantity ofctCD compared to the other CDS as Shown by the reduced spot intensity at the highest RF. 87 .__... pg BCD l mg tissue 120 #315. “9 [3CD I mg tissue 72 120 Hours of Incubation Figure 2.4. Production of BCD by Arabidopsis seedlings as shown by colorimetric assay. WT is the parental RLD strain. Cgt lines are independently transformed lines all under control of the Actin promoter. Values are shown as micrograms of 0CD per mg of plant tissue. Samples marked with a star are higher than wt control for that time point, 0. 5 0.1. 88 However the presence of spots in the transgenic Arabidopsis lines, cgtl-l and cgtl4 and lack of spots in RLD provide additional evidence that cgt Arabidopsis are capable of producing CDS. Tobacco line PEI lA-l also displayed a fused spot on TLC plates with spots being absent in lines which did not produce detectable [5CD as well as the hygromycin only transformed control line P1-1 (Figure 2.5). Table 2.2a and 2.2b show the compiled results of antibiotic resistance testing, genomic PCR, RT-PCR and phenolphthalein analysis methods for all Arabidopsis and tobacco lines. Table 2.2a. Gene integration, expression, function summary of Tobacco lines, y = positive result, it = negative result, nt = not tested Line Hyg/KarTR gPCR RT-PCR BCD positive positive Positive (phenolphthalei lI!) PC8A7 y y y n PC 1 B2 y y y n PE3A1 y y y n PEl 1A1 y y y y PE] 1 A4 y y nt n PEl 3A2 y nt y n PE2B4 y y nt n Table 2.2b. Gene integration, expression, function summary of Arabidopsis lines, y = positive result, 11 = negative result, nt = not tested Line Hyg/KanR gPCR RT-PCR BCD positive positive Positive (phenolphthalei 11) PIcgt1-3 y y n “ PIcgt 1 -5 y y y y PIcgtl 3 y y y y PIcgt14 y nt nt y PIcgt 1 -6 y nt nt y PIcgtl-l y nt nt y 89 .TE 75:8 388%wa 2: use mmflum .32 Em 8:: 0838 2: Beam oTw 853 .312 352$» 2: use #4336;ng woe: GREEEEV .mQO m :m we 23me 3:3 as mafia 25 av 05 59> mDU mafia $.28— v 8E 05 E 850% 8a 6.8935 .megxono—ozo 305054.33 mo maimed 01E. .md oSwE 1 a. X“ x. a. w. . a. . YE «Eon. Sim; Sm 350 9:8 35 > a e 90 DISCUSSION The production of a biologically based surfactant via extracellular secretion of a bacterial enzyme has potential utility for a wide variety of applications. From a contaminated soil remediation standpoint, in-situ production of a relatively non-toxic compound with surfactant—like properties will, along with the expression of novel genes for contaminant degradation, enhance the efficacy of plant-based remediation. Arabidopsis production of CGTase is a step towards field implementation of plant- produced solubilizing compounds. Several challenges are still in place for cgt-expressing plants. In vitro production of BCD from plant-generated enzyme was generally low, but appeared to increase slowly over incubation time. Despite the presence of positive bands in RT-PCR reactions of almost all tobacco lines, [3CD could be detected via the phenolphthalein method in only one line, PE11A1. This line was able to produce detectable quantities of 0CD from seedling exudates. The failure of so many tobacco lines to produce CGTase that was active under standard enzymatic conditions, despite production of cgt-mRNA may indicate a basic problem with CGTase expression in tobacco specifically. The fact that two different promoters gave similar results in tobacco makes it unlikely that the promoter itself is the major limitation. It could be that tobacco plants may produce functional transcript in many cases but nonfunctional CGTase protein. Modification of foreign proteins in plant systems through the attachment of various sugars, glycosylation has been documented and might account for the difference in the two species (Samyn- Petit et al., 2003). It is also possible that in tobacco CGTase is poorly expressed in or transported through root epidermal tissues. Arabidopsis has much finer roots than tobacco 91 and the increased surface to volume ratio may allow for enhanced protein diffusion to culture media. Different temporal or spatial expression between Arabidopsis and tobacco may cause differences in detectable CGTase activity. 0r tobacco may contain a nonspecific protease, released in hydroponic solution that degrades CGTase, which is lacking in Arabidopsis. Degradation of foreign proteins expressed in plant systems, especially when secreted into growth media, has also been a frequent occurrence (Doran, 2006) The CGTase signal peptide sequence also seems to indicate the potential for low efficiency secretion of CGTase due to a sub-optimal signal peptide for eukaryotic systems, due lack of clarity in splice location. Replacement or modification of the signal peptide to a more plant-like version might assist in further increasing the quantity of secreted CGTase. The cgt gene itself, being originally from a bacterial host, may need to be optimized for better expression. While genes from Bacillus sp. are generally of relatively high AT content, and usually less of a problem than those from high GC bacteria, they can contain regions that are detrimental to expression such as sequences that appear to be intron Splice sites, repeated ATTTA sequences, or a very extreme AT skew (Perlak et al., 1991). PI-cgt is 51% AT and may be relatively suitable as is. But optimization of the main cgt sequence may still enhance cgt expression to levels capable of providing more CD production. The low ratios of viable seeds in seedling antibiotic resistance screening, observed in some Arabidopsis lines may be due to an overall weakness in the seed lots tested, since hygromycin is a very strong selection agent and genetically resistant but physiologically weak seedlings still might be overcome by the added stress of the selective agent. 92 Once optimized for efficient production, hydroponically produced CGTase could also be a cheaper, alternative source of industrial enzyme for the commercial production of cyclodextrins. The current bacterial enzymatic systems may continue to out-compete plant produced enzyme until higher expression and/or activity levels can be achieved. Modification of PIcgt or use of other CGTases with altered CD production profiles, biased towards yCD or chD may be useful for increasing the range of contaminants that may solubilized by cgt-expressing plants. With greater manipulation of the plant biochemical machinery and utilization of more bacterial genes, direct secretion of cyclodextrin into soil may be possible — thus eliminating bacterial competition with freely available exogenous starch substrate. CD uptake mechanisms could also be cc- Opted from bacteria and inserted into plants to allow for plant uptake of the intact CD- contaminant complex. Used in concert with intracellular CD and contaminant degradation genes, plants could become an improved system for organic contaminant degradation or metal sequestration. Uptake of intact CDS also might allow for very specific nutrient, pesticide or growth regulator delivery to plants via plant absorption of complexed agents added to the soil. Cyclodextrin technologies will continue to grow and evolve, and plants capable of producing cyclodextrins may have applications to very diverse fields. CONCLUSION C gt-Arabidopsis is capable of expression and secretion of bacterial CGTase. 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Environmental Science & Technology 29, 2632-2635. Ye, G. N., Stone, D., Pang, 8. Z., Creely, W., Gonzalez, K., and Hinchee, M. (1999). Arabidopsis ovule is the target for Agrobacterium in planta vacuum infiltration transformation. Plant Journal 19, 249-257. 97 CHAPTER III Effect of Cyclodextrin Glycosyl Transferase expressing plants on the remediation of PAHS and PCBS Sarah Kinder Department of Crop and Soil Sciences Michigan State University INTRODUCTION Persistent organic pollutants (POPS) are widespread environmental toxicants and important threats to the global ecosystem. POPS are capable of global atmospheric transport as well as long-terrrr persistence in the environment (Rodan et al., 1999). POPS are strongly hydrophobic and resistant to most forms of degradation, remaining in the environment for decades after deposition partly due to a strong tendency to sorb or dissolve into the organic fraction of the soil matrix. This Similarity of chemical properties to large portions of the soil itself contributes to the pollutants’ resistance to solar radiation and chemical reactions. Among the most more notoriously toxic and damaging POPS are the polyaromatic hydrocarbons (PAHS) and polychlorinated biphenyls (PCBS). PAHS occur if organic material iS burned with insufficient oxygen and PCBS are synthetically created via chlorination of biphenyl molecules. High molecular weight PAHS are considered both carcinogenic and mutagenic, particularly after some photoconversion processes (Alexander et al., 2002; Brown et al., 1999; Yan et al., 2004). PCBS are thought to be toxic to the endocrine systems of many creatures due to similarity to hormones, causing abnormal developmental effects (Colbom et al., 1993). Both PCBS and high molecular weight PAHS are capable of accumulating in food chains through the process of 98 biomagnification in which each trophic level concentrates a contaminant at a higher level than the one before (Gobas et al., 1999). Persistent organic contaminants are most commonly remediated by standard engineering-based techniques such as excavation and off-site disposal, which is labor intensive, expensive, and ecologically disruptive to the treated site (Sellers, 1999). One alternative to standard remediation practices is biologically-based remediation. Unlike engineering-based techniques, biological degradation can transform organic contaminants to less harmful compounds or even mineralize organic pollutants to non-toxic components such as CO2, chloride and water. A wide variety of microbes have been isolated that are capable of degrading many POPS, including both PCBS and PAHS. Low molecular weight PAHS, such as those with three benzene rings or less, may serve as a carbon source for microbes (Ahn et al., 1999; Daane et al., 2001). PAH degradation becomes more difficult with increasing molecular weight and typically proceeds co- metabolically, requiring the presence of additional substrates for microbial growth (HO et al., 2000). Highly chlorinated PCBS cannot generally be used as a carbon substrate for microbial metabolism (Boyle et al., 1992; Quensen and Tiedje, 1997). Plants have been proposed as a potential enhancer of biologically based environmental restoration. Plants have been used to treat a wide variety of pollutants including metals and organic compounds of various types, including PCBS and PAHS (Arthur et al., 2005; Cunningham and 0w, 1996). Phytoextraction is a process in which plants remove and concentrate soluble metals within their tissues. Alternatively, plants may be used to stabilize inorganic contaminants in the soil matrix through the process of 99 phytostabilization (Berti and Cunningham, 2000). In phytodegradation applications, organic pollutants are transformed to less toxic products after uptake into plant tissues. Low contaminant bioavailability can severely reduce contaminant biodegradation by plants and microbes (F eng et al., 2000). Bioavailability is a measure of the accessibility of a contaminant to biological systems and is typically related to its water solubility. Microbes, with their high surface area to volume ratios, can more easily utilize compounds with low bioavailability by adsorption to solid phase pollutants and rapid uptake of solubilized molecules (Johnsen and Karlson, 2004). Many strategies have been proposed to help overcome bioavailability limitations of organic contaminants including various soil amendments intended to liberate strongly sorbed organic molecules. Surfactants, or surface-active agents, are compounds used for the enhancement of hydrophobic compound bioavailability. Surfactants contain a charged hydrophilic portion, which is soluble in water, and a hydrophobic “tail”, which is chemically Similar to nonpolar organic contaminants. The head to tail organization allows the organic contaminant to associate with the hydrophobic portion of the surfactant, while the hydrophilic portion of the molecule pulls the complex into the aqueous phase, making the compound soluble and therefore bioavailable. Most surfactant molecules must be present in a solution at or above a certain concentration called the critical micelle concentration (CMC) for maximum effectiveness in solubilization (Kile and Chiou, 1989). Micelles are Spherical arrangements of surfactant molecules with the charged “head” groups facing outwards towards the aqueous solution and the non-polar “tail” groups facing inwards, creating a hydrophobic cavity to contain hydrophobic pollutant compounds. 100 Several studies have Shown that surfactants can enhance biological degradation of organic pollutants (Bury and Miller, 1993; F ava and Di Gioia, 1998). However, the effects of surfactants on biological degradation can be variable. While micelles can raise the apparent concentration of organic contaminants in the aqueous phase, surfactant- solubilized compounds may still be inaccessible to bacteria and bacterial enzymes (Makkar and Rockne, 2003). Surfactants themselves may cause bacterial toxicity and enhanced movement of toxic compounds through soil, potentially limiting the effectiveness of surfactants (Berselli et al., 2004). Biologically synthesized surfactants, called biosurfactants, may be a more environmentally friendly alternative to synthetic surfactants (Cameotra and Makkar, 2004). Biosurfactants are generally classed into groups such as glycolipids, phospholipids, fatty acids, surface active antibiotics and polymeric microbial surfactants (Maier, 2003). Biosurfactants, such as rhamnolipids, have been Shown to enhance the biological degradation of organic contaminants (Herman et al., 1997; Zhang et al., 1997). Cyclodextrins (CDS) are another group of biologically synthesized compounds that have been examined for solubilizing effects on contaminants in soil. Cyclodextrins are not true surfactants but are unique cyclic oligosaccharide compounds synthesized by bacteria from starch, capable of enhancing the solubility of hydrophobic compounds in a similar fashion to surfactant micelles (Szejtli, 1988). Unlike surfactants, CDS do not exist as monomers and have no critical micelle concentration, making them largely non-toxic to both plants and bacteria (Apostolo et al., 2001; Bar and Ulitzur, 1994). CDS are enzymatically formed from starch in a mixture of products primarily made up of three CD forms composed of 6, 7, and 8 glucose units, classified as a—, B—, and yCD, 101 respectively. CDS are structured in such a way that the hydroxyl groups of the glucose subunits face outward leaving the interior of the molecule relatively hydrophobic. While surfactant micelles can grow to almost any Size, cyclodextrins are limited by the numbers of glucose units forming the hydrophobic cavity consequently limiting the size of inclusion molecule. Cyclodextrins have been used to enhance the dissolution and biological degradation of various contaminant compounds, including PCBS and PAHS (Fava et al., 1998; McCray and Brusseau, 1998; Wang et al., 1998). Previous work has shown BCD can reduce soil sorption of the PAH phenanthrene (Settavongsin, 2005). CDS have been tested for their ability to enhance desorption and biological degradation of various organic contaminants. Chemically modified CDS are commonly used for applied soil treatments due to the relatively low water solubility of naturally occurring CDS. However, at biologically relevant concentrations, natural CDS have sufficient water solubility to perform as complexing agents (Gao et al., 1998). Many bacteria are capable of producing cyclodextrins via extracellular secretion of the CD biosynthetic enzyme cyclodextrin glycosyltransferase (CGTase) (Binder et al., 1986; Larsen et al., 1998; Takano et al., 1986). Bacterially produced CGTase creates cyclodextrins by degradation and circularization of starch molecules. For cyclodextrins to be a useful in-situ treatment for contaminated soil, starch and CD-producing organisms need to be present in sufficient quantities or CD must be added exogenously. Direct addition of CD can be expensive and labor intensive. [3CD has become relatively inexpensive due to easier chemical production, though the price of or and yCD is still relatively high. [3CD may have a more limited range of compound solubilization than a mixture of all three CDS. In-situ production of cyclodextrins at a contaminated Site could 102 be an effective method of enhancing biologically-based Site cleanup if the process of [3CD production could be controlled and enhanced. CD producing bacteria may be present, but may be insufficient to produce the needed quantities of cyclodextrin. Starch addition may not promote bacterial CGTase production Since cgt, like the expression of many secondary bacterial metabolic genes, is tightly regulated (N ishida et al., 1997). The presence of alternative substrates in soil, possibly due to starch degradation by other microbes, may inhibit cgt expression, CGTase production, and subsequent CD production. Addition of CGTase producing microbes to soil is subject to the same difficulties of other types of bioaugmentation, including strain persistence and preferred metabolic activity (vanVeen et al., 1997). We propose that plant secretion of CGTase into the rhizosphere for in-situ production of CD would be a cost effective alternative to microbial bioaugmentation or direct addition of CD. Bacterial CGTase is secreted into the soil environment and plants engineered to express this gene may also secrete CGTase. Plant roots are a source of starch in the rhizosphere and could be easily available on a contaminated site, remaining in place for the duration of treatment. If root-produced starch were found to be insufficient, exogenous starch could be added to the soil at considerably lower cost relative to addition of CD. In an effort to generate an alternative in-situ source of CGTase, transgenic tobacco and Arabidopsis plants capable of secreting CGTase from their roots were generated through biotechnological procedures. Genetically engineered cgt-plants were tested for their effect on PCB and PAH biodegradation rates in contaminated soil. 103 MATERIALS AND METHODS PAH Soil Phytoremediation PAH soil X Tobam PAH-contaminated soil was obtained from the Rouge Manufacturing Complex (Dearbom, MI) coke oven facility. The “PAH soil” contained, 13% organic matter, 81% sand, 11% Silt and 8% clay as analyzed by A&L Great Lakes Analytical Labs (Fort Wayne, IN). PAH soil was sieved through a stainless steel mesh (2.36 mm) to remove large rocks and debris and thoroughly homogenized. The resulting PAH Soil contained approximately 2000ppm total PAHS (tPAH) — the sum of concentrations of 15 of the EPA priority PAHS found in detectable concentrations. The PAH 8011 was placed in 25 X 150 mm glass test tubes, bottom wrapped with aluminum foil to exclude light from the roots. A 10” Pasteur pipet was placed in the test tube before soil addition to facilitate bottom watering. Tubes were well watered and planted with a single 2-week-old tobacco seedling of either wild type or one of two cgt-tobacco lines PE13A1 (Line A) or PC1B2 (Line B). Unplanted controls were also included. Plastic wrap was loosely wrapped around loaded test tube racks placed in a plant growth chamber maintained at 25° +/-3°C with 16-hour day length (150—230uE"‘S'l *m'z). Treatments were Split in half with one half being watered weekly with 2ml of autoclaved 1% starch and the other half being watered with distilled, deionized water. Test tube treatments were harvested approximately 50 days after planting with total plant shoot tissue and approximately 40cc of soil from each tube collected. 104 Soil PAH analysis For soil PAH determination, 6g of soil were measured into a 40ml vial to which 6ml of aqueous saturated KCl were added, followed by 20ml dichloromethane. Vials were then capped, using Teflon liners, vortexed for 20 seconds, sonicated in an ultrasonic water bath for 10 minutes and then shaken on a rotary Shaker at 150 RPM for 16 hours. After overnight shaking the vials were removed and set upright for 10- 20 minutes. A portion of the lower layer of solvent but above the settled soil was removed with a Pasteur pipet and filtered through a glass wool stuffed Pasteur pipet. Filtrate was placed in GC vials and analyzed via an Agilent GC 6890 equipped with an Agilent 3396 B/C integrator and Agilent 7683 8L8 auto sampler and injector, ICB PAH column and flame ionization detector. The GC conditions were: ICB-PAH capillary column 15m in length 250nm id 0.15 pm film thickness (J&K scientific, Milton, Ontario), with helium carrier gas at 41Kpa constant pressure, 270°C inlet temperature, flame ionization detector maintained at 330°C. Column initial temperature was 80°C, followed by elevation to 220°C at 40°C per minute, and a second ramp including elevation to 285°C at 8°C per minute. The injected volume was 4rrl with a split ratio of 7:1. The PAHS measured and summed to determine the total soil PAH concentration (tPAH), listed in order of increasing molecular weight and retention time were, napthalene, acenapthylene, fluoranthene, phenanthrene, anthracene, fluorene, pyrene, benzo[a]anthracene, chrysene, benzo[b]fluoranthene, benzo[k]fluoranthene, benzo[a]pyrene, indeno [1,2,3 -CD]pyrene, and benzo[ghi]perylene. tPAH is the sum of the 14 compounds typically found in the Rouge soil in highly unequal proportions (Table 3.1). 105 Table 3.1. Percentage of relative concentration of each of the individual PAH compounds in reference to the total PAH content of the soil. Compound Percentage of tPAH napthalene 1 .8 acenapthylene 3.6 fluoranthene 0.9 phenanthrene 5.7 anthracene 2.8 fluorene 15.3 pyrene 1 5. l benzo[a]anthracene 9.7 chrysene 6.6 benzo[b]fluoranthene 1 1.5 benzo[k]fluoranthene 4.8 benzo[a]pyrene 1 1.9 indeno[1 ,2,3-CD]pyrene 2.5 benzo[ghi]perylene 7.7 106 Plant Biomass and Soil Moisture determination Fresh weight of plant aboveground tissues was determined immediately after sample harvest and dry biomass was determined after drying to static weight in a 60° C oven. Soil moisture determination was accomplished by weighing 5 g treatment soil subsamples into aluminum weigh pans, oven drying at 105°C for 24 hrs, and reweighed for dry weight. PCB Soil Phytoremediation PCB soil X Arabidopsis Industrially contaminated PCB soil was obtained from the Kalamazoo River Basin Superfund site (EPA ID# MID006007306). The collected soil was stored in steel cans at room temperature for approximately 6 months prior to use. In preparation for the experiment, soil was sieved first through 5mm steel mesh and then through 2.36 mm stainless steel mesh. Soil was thoroughly homogenized and poured into aluminum foil wrapped 25 X 150 mm glass test tubes. Soil was watered and tubes planted with wildtype or cgt-Arabidopsis seedlings or left as unplanted controls. Plastic wrap was loosely wrapped around loaded test tube racks placed in a plant growth chamber maintained at 25° +/-3°C with 16-hour day length (150-230I1E1‘s'l *m'z). Test tubes were watered with 2ml autoclaved 1% starch in water 10 days after planting (DAP), 1/4 X MS salts at 19 DAP, 3m] 1% starch at 33 DAP. Two treatment times were used prior to sampling; 72 DAP (N = 4 tubes each treatment) and 92 DAP (N = 7 tubes). 107 Spiked PCB Soil X Tobacco Soil was obtained from Wayne County, Michigan and classified as a Hoytville series, a silty clay loam. This soil was spiked with PCB by addition of Aroclor 1248 diluted in acetone resulting in a calculated final concentration of 100ppm. The Spiked PCB soil was stored dry at room temperature for a period of 2 months and then added to 25 X 150 mm glass test tubes. Transgenic cgt- or wild type tobacco seedlings were planted in each tube with left Implanted. Plastic wrap was loosely wrapped around loaded test tube racks placed in a plant growth chamber maintained at 25° +/-3°C with 16-hour day length (150-23OIJ.E*S'l *m'z). At 4 days after planting (DAP) all tubes were watered with 2ml 1% starch. All treatments were destructively sampled after 74 DAP. In order to examine the effect of bioaugmentation with PCB soil extract inoculum on the spiked PCB treatments, a soil extract was made by washing an aliquot of Kalamazoo River Superfund Site soil in 1% tetrasodium phosphate buffer (1:1000 :: soilzbuffer). To determine total colony forming units (CF Us), soil extract samples were plated on YEPG agar (Per liter: 1 g glucose, 2g polypeptone, 0.2g yeast extract, 0.2g NH4N03, and 15g Bactoagar) and visible colonies enumerated after 12d incubation at 25°C. PCB an_alysis PCB extraction was conducted using an accelerated solvent extractor, ASE 200 (Dionex, Sunnyvale, CA). Ten grams of dry soil were mixed with an equal amount of sodium sulfate (Sigma, St. Louis, MO) and placed into a 33ml extraction cell with a glass fiber filter (P/N 047017, Dionex, Sunnyvale, CA) on the bottom Side of the cell. Void 108 space in the cell was filled with Ottawa sand (823-3, Fisher Scientific, Pittsburg, PA). Cells were capped and placed on the machine with pre-weighed 60ml glass collection vials for retention of solvent extract. The ASE program was: 1 minute preheat, 5 min heat, 5 min static time, 60% flush and a 60 second purge. The extraction solvent was 50% acetone and 50% hexane. After extraction, the collection vials were weighed to determine extract mass and recapped with undamaged septa. ASE samples were transferred to GC vials and analyzed on an Agilent GC 6890 (Agilent, Santa Clara, CA) equipped with a Supelco Equity 5 column (Supelco, Bellefonte, PA), 30m in length 320nm id. and 0.25 pm fihn thickness. The GC program consisted of a 4rd splitless injection with the inlet temperature at 250°C, helium carrier gas with pressure set at 59KPa. The initial run temperature was 120°C increased by 9°C per minute to 300°C. The detector was an Agilent Micro ECD set at 310°C with 30ml/min nitrogen makeup. Ten representative peaks were choSen based on fraction of total area and uniqueness in the Aroclor 1248 standard as compared to the Aroclor 1254 standard (Supelco, Bellefonte, PA). The sum of these peaks was taken to represent the total PCB content of the soil. RESULTS and DISCUSSION PAH Soil Phytoremediation The effects of cgt-tobacco plants with and without supplemental starch addition on soil PAH degradation were examined. Starch appeared to enhance tPAH reduction in two of the nine treatments: unplanted (26.3% soil [tPAH] reduction) and cgt-tobacco line B (24.9% soil [tPAH] reduction) compared with the untreated control soil (Figure 3.1). 109 AtPAH ‘1 .o.‘ - This?! lit. . . II .. llll4r| Ill < n OmAIHocmooomE PPM. w H Omdéocmooomnflww. << n 13:360. C H Calming. Z u 20 mafia: 2552.. m H manor magma. HNHCERSSQ 855:. Day; £62m vanomsgma 253% 5 8: Eva: 8595 8 sandman 838—. $3385 madame. £85838 3 A ome m8 ganged SE. 90 8.80 533. 110 However, these two treatments were also statistically similar to the unarnended and Implanted treatments. Unarnended cgt-tobacco line B also showed a significant reduction in tPAH content (28.1%). Other than these three treatments, no significant reduction in tPAH content was observed in any other plant genotype-arnendment treatment combinations compared to untreated control. While most individual compounds exhibited similar patterns of reduction to that shown by tPAH, a few compounds displayed interesting differences. Benzo[ghi]perylene (BGHP), the highest molecular weight PAH measured by our methods, also showed a similar pattern with all treatments being significantly lower than the untreated (Figure 3.2). Abghp AN UN Treatment Figure 3.2. Benzo[ghi]perylene (BGHP) content of soil PAH Soil Cgt-Phytoremediation treatments. Treatment codes: A = Cgt-Tobacco-PE13A2 B = Cgt—Tobacco-PC1B2 W = Wildtype U = Unplanted N = No starch addition 8 = Starch added. Abghp shows 111 percentage change in soil [BGHP] relative to untreated control. Statistically similar treatments (or 5 0.05) are denoted with the same letter. Starch-watered cgt-tobacco line B showed a Significantly lower content of BGHP than Implanted and wildtype treatments both starch treated and water only, with a 55, 53, 43 and 51 percent reduction, respectively. Napthalene, the lowest molecular weight PAH, had significantly reduced levels in all treatments when compared to the untreated control (Figure 3.3). Treatment Figure 3.3. Napthalene content of soil PAH Soil Cgt-Phytoremediation treatments. Treatment codes: A = Cgt—Tobacco-PE13A2 B = Cgt-Tobacco-PC1B2 W = Wildtype U = Unplanted N = No starch addition 8 = Starch added. ANapth shows percentage change in soil [naphthalene] relative to untreated control. Statistically similar treatments (or _<_ 0.05) are denoted with the same letter. 112 Napthelene was most likely lost by a combination of volatilization and biodegradation, since its low molecular weight makes it more susceptible to biological degradation and loss by volatilization. The high levels of PAHS and poor agronomic qualities of the Rouge soil resulted in highly stressed plants in all treatments, with yellow leaves and accelerated leaf senescence, although this appeared to be less of a problem in treatments with starch addition, potentially indicating some protective effects of starch on plant health. Interestingly the dry biomass of line B cgt and wildtype treatments seemed to positively correlate, although not significantly, with the addition of starch. However, dry biomass between treatments showed no Significant differences between treatments of the same genotype, or the same treatment between genotypes (Figure 3.4). 0.35 0.30 , , . s 0.25 - 2 B020 '3 g 0.15 . 2 0. 5,010 E 0.05 0.00 . AN AS BS BN WN WS Figure 3.4. Plant dry biomass from soil PAH Soil Phytoremediation treatments. Treatment codes: A = Cgt-Tobacco-PE13A2, B = Cgt-Tobacco-PC1B2, W = Wildtype, U = Unplanted, N = No starch addition, 8 = Starch added. No significant differences were observed (or 5 0.05). 113 Plant survival rate appeared to be enhanced in the starch amended wild type treatment. Starch amended wild type had 17 surviving plants versus only 9 in the unamended treatment. Both transgenic tobacco lines showed similar survival rates in starch treated and unamended treatments. One problem associated with this study was the choice of tobacco lines. Neither PC1B2 (Line B) nor PE13A1 (Line A) have been shown to produce detectable quantities of CD under enzymatic digest conditions. It is possible that both lines were producing small amounts of CGTase at levels, which are undetectable by direct enzymatic analysis. Or in-vitro enzymatic analysis may also not reflect the ability of plant produced CGTase to fimction in soil, or the potential for plant production of CGTase when grown in soil. cgt line B was shown to produce light clear zones on starch containing media. However, . it is likely that the quantity of CDs produced by these tobacco lines in soil is quite low. A significant decrease in contaminant levels by a starch watered cgt line B was observed for at least one high molecular weight PAH (BGHP), compared to both unplanted and wild type treatments. It is possible that low levels of plant-produced CD promoted the degradation of BGHP, perhaps by partly solubilizing the high molecular weight compound. The extremely low water solubility of BGHP might be such that even a slight increase in bioavailability would result in a large increase in biodegradation and a subsequently noticeable reduction in concentration. The reductions seen in BGHP concentration by starch treated cgt-tobacco line B may hint that positive effects on other PAHS may be possible with increased CD concentration or incubation time. The presence of cyclodextrin alongside the effects of starch may still provide benefits for degradation even if not quantitatively observable for most of the PAH compounds. 114 Starch addition seemed to be a contributing factor in promoting tPAH degradation in Rouge soil, especially notable in the unplanted treatment. The highest reduction in tPAH and BGHP specifically were seen in starch-amended treatments. Enhancement of biodegradation promoted by the addition of a substrate such as starch has been seen in many other treatment studies when carbon sources are added to impoverished soils (Haby and Crowley, 1996; Leigh et al., 2002; Rao et al., 1995). The effect from starch alone on tPAH reduction was similar to any effects of cyclodextrin produced from starch, at least by cgt-tobacco line B, in total PAH degradation. Even so, the presence of cyclodextrin alongside the effects of starch may still provide benefits even if not quantitatively observable for the majority of PAH compounds. Starch combined with plants was not always effective as both cgt-tobacco line A and wild type plants treated with starch showed no significant reduction of tPAH when compared with untreated soils. It is possible that these plant lines were in some way presenting a hindrance to PAH degrading microbes, perhaps by maintaining unfavorable soil conditions, when compared to cgt-tobacco line B. These lines may have been producing exudates that were unfavorable to microbes while cgt-tobacco line B was not, and the CD production of this line was able to mitigate the apparent negative effects of tobacco on PAH degradation. Future analysis of the effects of starch and CD producing plants on the microbial community, specifically starch and PAH degrading microbes might provide additional information on the effects of CGTase expressing plants on PAH impacted soil and clarification of the results of the experiments. The use of single spiked compounds might 115 be another way of teasing apart the interactions of the plants, cyclodextrin, and PAH molecules. PCB Soil Phfloremediation Cgt-Arabidopsis was tested with supplemental starch addition for enhancement of PCB biodegradation. The cgt-Arabidopsis line chosen for the PCB phytoremediation experiment was demonstrated to produce CGTase with subsequent conversion of starch to CD in bioindicator assays (as described in Chapter 2). These observations make it likely cgt-Arabidopsis line 14 was producing [3CD in-situ for some if not all of the treatment period. Afier 72 days of growth, all of the treatments had significantly lower PCB content than the untreated control. However, no individual treatment was significantly different from any other treatment, with soil [PCB] reductions of 34%, 32%, and 32% for cgt- Arabidopsis, wild type Arabidopsis, and unplanted treatments, respectively (Figure 3.5). mg plant dry matter untrt Figure 3.5. PCB content of soil from PCB Soil Cgt—Phytoremediation treatments. Arabidopsis cgt14, wildtype, unplanted and untreated are listed from left to right. Values are after 72 days of plant growth. Statistically similar treatments (0. < 0.05) are denoted with the same letter. 116 Plants would have to make a very large difference over unplanted treatments in what is already a miniscule amount of contaminant with many individual PCB peaks being less than one ppm in soil concentration. Additionally, the chronic contamination of the soil may be very resistant to large changes in contaminant content, due to long-term sorption of some proportion of the PCBS. Low levels of CDs produced by cgt- Arabidopsis may have partly counteracted the plant induced effect resulting in the slightly lower PCB content in cgt-Arabidopsis treatments. The effects of cgt-plants on PCB degradation appears to be minimal in this experiment, in either time point as unplanted samples were lower and statistically indistinguishable from planted treatments. The simple mixing of soil and the addition of water may explain the overall loss of PCBs. These actions may have stimulated preexisting microbes, by increased exposure to oxygen due to breakup of large aggregates through sieving. The low levels of PCBS in the Kalamazoo soil may have contributed to the inability to detect significant differences between the treatments. Overall, resulting plant biomass of the cgt-Arabidopsis line was significantly lower (25% less dry mass) than that of the wild type control plants (Figure 3.6). This may be explained by the presence of the transgene causing pleiotropic effects or possibly lower seed vigor from the seed stocks used due to previous antibiotic selection of the parental plants. Spiked PCB Soil Phytoremediation The spiked PCB experiment was distinct from the other trials in that it used freshly spiked soil rather than aged, industrially contaminated soil. The relatively low 117 levels of PCBs observed in the untreated sample (25 ppm) compared to the calculated concentration of PCBs (100 ppm) was likely due to volatilization during the aging period. The spiked PCB soil treatments were highly variable in contaminant removal, though bioaugmentation with microbial extract from industrially contaminated soil appeared to improve effectiveness (Figure 3.7). Extract-inoculated soils of the unplanted and cgt-tobacco line B planted treatments displayed greater [PCB] reduction that uninoculated soils. These results suggest that the soil extract supplied PCB biodegrading microbes to the inoculated soils, which may have been lacking in the “clean” field soil initially spiked in this study. Soil PCB reduction was significant in one treatment with a 45% reduction by inoculated cgt- tobacco. However, the inoculated unplanted treatment was statistically similar to inoculated cgt treatments suggesting that soil inoculation may have a larger impact on PCB reduction than the presence of plants or the production of CGTase. Given the probability of low levels of CGTase present in the soil and the potential for a nearly total lack of PCB degrading organisms in spiked soil, this result may be somewhat expected. Soil spiking very often results in a significant mortality in soil microbes such that few native microbes may have remained to carry out degradation (Brinch et al., 2002). The total number of culturable microbes added from the soil inoculum was 7746 per tube, 193 per gram based on an average of 40 grams (DW) soil per tube. Since the spiked soil was maintained in a dry state for several years and was never contaminated, it is also likely the overall microbial population as well as potential PCB degraders was very low. A sudden appearance of PCB degrading microbes in contact with relatively labile contaminants, due to “fresh” spiking, might have resulted in relatively rapid degradation. 118 Figure 3.6. Biomass of Arabidopsis shoot tissues in PCB Soil Cgt-Phytoremediation treatments, 92 days after planting. Dry (Dwt) and fresh (Fwt) biomass are shown. Stars denote treatments significantly lower biomass (0t < 0.05). 15 W, 7 —— — l b 10 an 51 - m a a 0. ~ <1 Bl Treatment Figure 3.7. Percentage change in soil PCB content from spiked PCB Soil Cgt- Phytoremediation treatments as compared to untreated control. U = unplanted, W = wildtype, B = PC1B2 cgt-tobacco, I = inoculated, O = not inoculated. Statistically similar treatments (on < 0.05) are denoted with the same letter. 119 Unequal dispersal of these microbes in soil inoculum might have resulted in the observed scattered, but high degradation rates in some samples. In terms of plant dry biomass, none of the treatments of any time point showed any significant difference between the others, however the plant biomass did increase significantly between the two time points, indicating that the presence of PCBS in the soil did not excessively hinder plant growth (Figure 3.8). The lack of difference between the treatments shows that neither added starch nor the presence of the transgene in tobacco affected plant growth. CONCLUSION Several studies on two different contaminant classes, PCBS and PAHS, were done to examine the effects of cgt-expressing plants, starch addition, and bioaugmentation for soil remediation. All but one of the tested soils was chronically contaminated and such soils are less likely to see large reductions in contaminant levels due to strong, long term sorption of contaminants to soil components and high variability of contaminant concentration within those soils (Burgos etal., 1996; Carmichael et al., 1997). Additionally, the cgt-expressing plants used in this study are first generation transgenics and may not produce sufficient CGTase to make substantial quantities of CD in-situ. Despite these limitations, several of the studies yielded some interesting results in soil contaminant loss and plant biomass production. In this study cgt-Arabidopsis and cgt-tobacco were tested for their effects on PAH and PCB remediation. The results of the biodegradation experiments showed positive effects by one tobacco line on at least one PAH compound and under specific treatment 120 Figure 3.8. Tobacco fresh and dry biomass in spiked PCB Soil Cgt-Phytoremediation ulated. Stars denote treatments. W = Wildtype, B = PC1B2, I = Inoculated, O = Not incc < 0.05 treatments significantly lower at or 121 conditions for PCBs. Starch addition was beneficial for soil PAH reduction and contaminated soil extract inoculation appeared to enhance PCB biodegradation. Cgt- tobacco enhanced dissipation of the highest molecular weight PAH compound, benzo[g,h,i]perylene, in the phytoremediation study, though most of the other PAH compounds did not show clear reduction. The lack of strength in the results may be due to a large number of factors including low expression/production of CD in soil. The high variability of contaminants in many of the soils also may have hampered efforts to show significant reductions on contaminant concentration that might be a direct result of transgenic plants. Future experiments may be able to show the positive effects of cgt- plants on a wider range of compounds and confirm the effects of cgt-plants on BGHP. Given the difficulty in showing quantitative loss of organic pollutants in soil, a direct assessment of mutagenicity or toxicity reduction in treated contaminated soil may be a better measure of phytoremediation success. In addition to being less constrained by contaminant variability, direct toxicity/mutagenicity experiments would more completely show whether remediation, in terms of true reduction of the toxic qualities of the soil, is occurring. Information about the microbial community might also be useful in finding out what sort of effect CDs and plant produced CGTase might have on numbers of microbial degraders. Hopefully, with better lines and expression, coupled with additional experiments the effects of cgt-plants on the degradation of contaminants in soil will become clearer. 122 LITERATURE CITED Ahn, Y., Sanseverino, J ., and Sayler, G. (1999). Analyses of polycyclic aromatic hydrocarbon-degrading bacteria isolated from contaminated soils. Biodegradation 10, 149-157. 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G., and Pritchard, P. H. (2000). Characterization of fluoranthene- and pyrene-degrading bacteria isolated from PAH-contaminated soils and sediments. Journal of Industrial Microbiology & Biotechnology 24, lOO-112. Johnsen, A. R., and Karlson, U. (2004). Evaluation of bacterial strategies to promote the bioavailability of polycyclic aromatic hydrocarbons. Applied Microbiology and Biotechnology 63, 452-459. 125 Kile, D. E., and Chiou, C. T. (1989). Water solubility enhancements of DDT and Trichlorobenzene by some surfactants below and above the critical micelle concentration. Environmental Science & Technology 23, 832-838. Larsen, K. L., Christensen, H. J. S., Mathiesen, L. H., Pedersen, L. H., and Zimmerrnann, W. (1998). Production of cyclomaltononaose (ES-cyclodextrin) by cyclodextrin glycosyltransferases from Bacillus spp. and bacterial isolates. Applied Microbiology and Biotechnology 50, 314-317. Leigh, M. B., Fletcher, J. S., Fu, X. 0., and Schmitz, F. J. (2002). 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Methods for evaluation of PCB dechlorination in sediments. In Bioremediation Protocols, D. Sheehan, ed. (Totowa, NJ: Humana Press Inc.), pp. 241-253. Rao, N., Grethlein, H. E., and Reddy, C. A. (1995). Mineralization of atrazine during composting with untreated and pretreated lignocellulosic substrates. Compost Science & Utilization 3, 38-46. 126 Rodan, B. D., Pennington, D. W., Eckley, N., and Boethling, R. S. (1999). Screening for persistent organic pollutants: Techniques to provide a scientific basis for POPs criteria in international negotiations. Environmental Science & Technology 33, 3482-3488. Sellers, K. (1999). Fundamentals of Hazardous Waste Site Remediation (Boca Raton, FL: CRC Press). Settavongsin, R. (2005). Application and Transgenic Production of the Biosurfactant Cyclodextrin for Enhanced Polyaromatic Hydrocarbon Phytoremediation. In Crop and Soil Sciences (East Lansing: Michigan State University), pp. 175. Szejtli, J. (1988). Cyclodextrin Technology (Dordrecht ; Boston: Kluwar Academic Publishers). Takano, T., Fukuda, M., Monma, M., Kobayashi, S., Kainuma, K., and Yamane, K. (1986). Molecular cloning, DNA nucleotide sequencing, and expression in Bacillus subtilis cells of the Bacillus macerans cyclodextrin glucanotransferase gene. Journal of Bacteriology [66, 1118-1122. vanVeen, J. A., vanOverbeek, L. S., and vanElsas, J. D. (1997). Fate and activity of microorganisms introduced into soil. Microbiology and Molecular Biology Reviews 61, 121-&. Wang, J. M., Marlowe, E. M., Miller-Maier, R. M., and Brusseau, M. L. (1998). Cyclodextrin-enhanced biodegradation of phenanthrene. Environmental Science & Technology 32, 1907-1912. Yan, J., Wang, L., Fu, P. P., and Yu, H. T. (2004). Photomutagenicity of 16 polycyclic aromatic hydrocarbons from the US EPA priority pollutant list Mutation Research-Genetic Toxicology and Environmental Mutagenesis 55 7, 99-108. Zhang, Y. M., Maier, W. J ., and Miller, R. M. (1997). Effect of rhamnolipids on the dissolution, bioavailability and biodegradation of phenanthrene. Environmental Science & Technology 31 , 2211-2217. 127 CHAPTER IV Is Phytoremediation Safe? A Comparison of Risks and Management Strategies of Plant- Based Environmental Remediation Technologies and Their Engineering-Based Counterparts Sarah Kinder Department of Crop and Soil Sciences Michigan State University INTRODUCTION Phytoremediation is the use of plants to remove, stabilize and/or detoxify soil or aqueous contaminants. Phytoremediation is a relatively young technology initially focused on the removal of toxic metals from soil but broadened to include organic contaminants (Baker et al., 1994; Bell, 1992). Public perception of phytoremediation as an ecologically compatible, cost effective and aesthetically pleasing alternative to more disruptive standard remediation approaches has helped fuel and even driven the growth of the technology. Engineering-based remediation which, are technologies that use purely physical and abiotic chemical means to stabilize, destroy, remove or contain pollutants, is the most commonly implemented treatment for contaminated sites. While the potential risks of most of these traditional treatments have been thoroughly evaluated (Wickramanayake et al., 2000), risks associated with biologically based technologies, especially phytoremediation, have received relatively limited consideration (Angle and Linacre, 2005; Linacre et al., 2003). Because public perception of phytoremediation is almost invariably positive, this paper will focus on actual risks posed by the technology rather than perceived risks. This paper will address the risks and benefits associated with the various phytoremediation technologies by elaborating on an approach to risk-benefit 128 considerations that should be taken into account when deciding on a technology. Exploration of potential hazards inherent in applied phytoremediation will allow preemptive management and containment of those risks, while maximizing its effectiveness as an environmental rehabilitation tool. In thus study we will define phytoremediation as “safe” if it can be determined to be at least as safe as widely accepted and utilized engineering based approaches. RISK ASSESSMENT AND RISK MANAGEMENT Risk has been defined in various ways, and has generally been thought of as both a chance for a bad outcome and the bad outcome itself. Multiplying a numerical probability of a particular risk by the potential severity of the risk mathematically derives a standard measure of risk. Risk analysis is a tool that looks for the approach that presents the lowest overall risk. However, a more obviously logical approach can be the risk benefit analysis, which combines the assessment of risks alongside of the benefits and the probabilities of those benefits. A risk benefit approach will be used to compare phytoremediation and engineering based technologies. Exposure is the key component of risk on a contaminated site. If there is no route of exposure, risk from contaminants is minimized. A technology’s effects on routes, frequency, duration and degree of exposure of the pollutants to receptors are all important factors in determining the nature of a risk from a particular contaminated site. Considerable research has been done on methods of environmental risk assessment for quantitative risk analysis, which utilize numerical measurements of probability usually in very specific situations (Alexander, 2000; Al- Yousfi et al., 2000; Oberg and Bergback, 2005). 129 Despite the obvious ease in decision making when utilizing numeric comparisons of risk, there are instances where quantifiable probabilities of bad outcomes are difficult to obtain. Locations of high levels of pollutants are frequently completely unpredictable, especially when they are the result of individual spillage events. Even after thorough mixing individual soil particles may hold chunks of highly concentrated contaminant. Complicating remediation, the histories of contaminated sites may be unknown and new impacted areas, higher levels of contamination or new pollutant types may be uncovered during remediation. These factors make it difficult to obtain a precise value for risk probability from phytoremediation installations. RISKS AND BENEFITS FROM STANDARD REMEDIATION TECHNOLOGIES Contaminated sites are currently most frequently remediated via standard engineering based techniques. Engineering based remediation techniques can be broken ' into two groups, treatments that remove or destroy pollutants in soil, sediment or water and those that stabilize contaminants within the matrix. Technologies that stabilize contaminants in soil are, excavation and off site disposal, stabilization and solidification. Excavation and off site disposal is the most commonly used treatment for contaminated soils, which involves removal of the soil and disposal at an approved landfill. But this type of treatment generates some new risks; disturbance of contaminated soil and sediment during excavation operations may, at least in the short term, increase wind and rain erosion of hazardous particulates or bulk soil material. Excavation activities can also pose a significant risk to workers dealing with the contaminated soil (Cohen et al., 1997; Proctor et al., 1997). Landfilling of excavated wastes is not a permanent solution for 130 treatment of soil contamination. At some point hazardous waste landfills will leak and pose recurring and complex hazards to adjacent communities and natural resources. Many sites awaiting remediation are former landfills, with over 200 of the approximately 2000 sites listed on the EPA national priorities list, being former landfills (EPA, 2006). Methods for removing or destroying contaminants in soil sediment and water include, chemical extraction, soil washing, soil incineration, thermal desorption, soil vapor extraction, air sparging, pump and treat, reactive barriers and bioremediation. Table 4.1 contains a list of accepted technologies, along with potential risks, costs and target contaminants. Benefits of Standard Remediation Technologie_s Engineering technologies have their own set of benefits and advantages, these tend to vary within individual technologies. The main benefit of most engineering based operations and especially that of excavation based techniques is the nearly complete and immediate removal of risk from a site, this particular quality is the primary reason for the popularity of excavation as a treatment solution. 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