.1 "A? 40-6 a” -52. w 31- "‘22 . 19:724.: ,, £3“ . « “*4“: 9...“: .3.- -.. .w. 1' ”A... ‘1‘: - : m tram J.."':L'.'Fk 'G- V‘." ’: I 3 . , ‘4 “33?:‘55’ v? “.43 L: ~ ‘ '-u u L . 1‘. Q?‘ huh“ . 'QVR .2...’ MIC CHI IGAN STATE IIIII III II IIIIIIIIIIIIIIIIIIIIIIIIIIII 23 010219024 II This is to certify that the dissertation entitled MICROBIAL BIOFILM COMMUNITIES IN GRANULAR ACTIVATED CARBON FLUIDIZED BED REACTORS FOR TREATMENT OF GROUNDWATER CONTAMINATED WITH AROMATIC HYDROCAEEEQNEd by ARTURO ANDRES MASSOL—DEYA has been accepted towards fulfillment Of the requirements for Ph.D. degreein MICROBIOLOGY I (I w \ I Major p‘ofessor d Cake/9:71 MSU i: an Affirmative Action/Equal Opportunity Instiluu'on 0-12771 ——————_. LIBRARY Mlchlgan State Unlverslty PLACE II RETURN Boxwromavombchockoum ywncord. TO AVOID FINES Mum on or More data duo. ' DATE DUE DATE DUE DATE DUE MSU tummmwomlm Wm: , .. MICROBIAL BIOFILM COMMUNITIES IN GRANULAR ACITVATED CARBON FLUIDIZED BED REACTORS FOR TREATMENT OF GROUNDWATER CONTAMINATED WITH AROMATIC HYDROCARBONS By Arturo Andres Massol—Deya A DISSERTATION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHIIDSOPHY Department of Microbiology 1994 IIII .IIlllII'. .IIIII' ABSTRACT MICROBIAL BIOFILM COMMUNITIES IN GRANULAR ACTIVATED CARBON FLUIDIZED BED REACTORS FOR TREATMENT OF GROUNDWATER CONTAMINATED WITH AROMATIC HYDROCARBONS By Arturo Andrés Massol-Deya The role and stability of non-indigenous populations on the structure and composition of biofilms in aerobic granular activated carbon fluidized bed reactors (GAC- FBR) treating groundwater contaminated with monoaromatic hydrocarbons were examined. The biofilm was composed of approximately 109 to 1010 total cells per gram of GAC. Comparison of community fingerprints of amplified 16S rDNA obtained by restriction endonuclease analysis and fatty acid methyl ester profiles (FAME) of seeded community with GAC colonized by the indigenous aquifer community suggested there was little influence of the non-indigenous populations on community structure. The biofilm community was composed of at least 12 different coexisting bacterial populations. Estimates of their maximum specific growth rate (um) half-saturation constant (K3) and maximum substrate utilization rates (It) obtained by fitting substrate depletion cm'ves to the integrated Moncd equation revealed a high diversity of toluene growth kinetics by these microbial populations. Partial 168 ribosomal RNA sequences were determined for each of the three co—dominant toluene degrading strains found among all laboratory operated FBRs studied with the aim of establishing phylogenetic affinities of the biofilm community. Similarity and evolutionary distance matrix analysis suggest closed affiliation of these strains to three subclasses of the Proteobacteria, the alpha, beta and gamma subdivision respectively. In addition, scanning electron microscopy (SEM) and confocal scanning laser microscopy (CSLM) were used to study the development, organization, and structure of the biofilm community. During the early stages of colonization, microcolonies were primarily observed in crevices and other regions sheltered from hydraulic shear forces. Eventually, these microcolonies grew over the entire surface of the GAC. This lead to the development of discrete discontinuous multilayer biofilm structures. Cell free channel-like snucmmsofvafiabksizeswaeobservedmmmcomectmesurfacefilmwimdtedeep innerlayer's. Thisappearedtoincreasethebiological sm‘faceareaperunitvolumeratio, which may facilitate transport of substrates in and wastes products out of deep regions of the biofilm at rates greater than possible due to diffusion alone. These architectm'al features were also observed in biofilms from four field scale GAC reactors that were in commercial operation treating petroleum contaminated groundwaters. This suggests that formation of cell-free channel structures and their maintenance may be a general microbial strategy to deal with the problem of limiting diffusive transport in thick biofilms typical of fluidized bed reactors. Understanding of the forces and principles which regulate biofilm development will help in efforts to model, control, and exploit biofilm related processes of industrial, medical, and environmental importance. Covyfight by ARTURO ANDRES MASSOL-DEYA 1994 This dissertation is dedicated to my parents Alexis and Tinti, my wife Vicky, and my daughter Corali ACKNOWLEDGMENTS I am grateful to all the people who has profoundly affected my scientific development, in particular for the encomagemeut, support and insights of Francisco Fuentes, my undergraduate advisor, and James M. Tiedje and Robert F. Hickey, my major advisors. I am also grateful to David Odelson and Larry Forney for their special help throughout my graduate studies. I thank the members of my advisory committee: Loren Snyder, Suzanne Thiem, and John Breznak for providing wealth of useful suggestions. Special thanks is given to Joanne Whallon for help with confocal microscopy and comments on manuscripts. I would also like to thank Rolland Weller who's inspiration has always been present. I thank Zhou Jizhong for his help with the 168 rRNA sequencing and phylogenetic analysis, Helen Garchow for performing all the FAME analysis, Luis Rios- Hernandez for his help on the isolation and characterization of biofilm bacterial populations, and the Center for Electron Optics for their help with SEM. I also thank my lab colleagues James Champine, James Cole, Robert Sanford, Joanne Ghee-Sanford, and Marcos Fries for teaching me science and English, and for their ever good will and help. The staff and members of the Center for Microbial Ecology have always been very helpful. I am also thankful for financial assistance from the National Institutes of Health, Fellowship No. GM14047-04, and the National Science Foundation, Grant No. BIR-912m06 to the Center for Microbial Ecology. I am specially thankful to my family for support and motivation and Vicky Ortiz, my wife, who always had encouraging and understanding words and who's struggles and battlesarethesameasmine. TABLE OF (DNTENTS LIST OF TABLES LIST OF FIGURES Chapter 1. AN INTRODUCTION Chapter II. SUCCESSION AND CONVERGENCE OF BIOFILM COMMUNITIES IN FIXED-FILM REACTORS TREATING BENZENE, TOLUENE, AND p—XYLENE CONTAMINATED GROUNDWATER Chapter III. ISOLATION AND CHARACTERIZATION OF BENZENE, TOLUENE, AND P-XYLENE DEGRADERS FROM AEROBIC BIOFILMS IN GRANULAR ACTIVATED CARBON FLUIDIZED BED REACTORS Chapter IV. CHANNEL STRUCTURES IN AEROBIC BIOFILMS FROM FIXED-FILM REACTORS TREATING CONTAMINATED GROUNDWATER Appendix A. BACTERIAL COMMUNITY FINGERPRINTTNG OF AMPLIFIED 168 AND 16-238 RIBOSOMAL DNA GENE SEQUENCESAND RESTRICTION ENDONUCLEASE ANALYSIS (ARDRA) Appendix B. DIFFERENTIAL AMPLIFICATION OF rRNA GENES FOR THE DETECTION AND IDENTIFICATION OF PSEUDOMONAS CEPACIA (G4) AND P. PICKETTII (PKOl) LIST OF REFERENCES 19 58 81 LIST OF TABLES CHAPTERII Table l. GAC-FER startup phase and performance at steady- state conditions. Table 2. Relative abundance (96 of total) of fatty acids of the GAC-FER communities. Table 3. Relative abundance (96 of total) of fatty acids from samplescollectedatthebottomandtopofthecolumnbedheight level of TOLS reactor at day 101. CHAPTERIII Table 1. Start-up conditions of fluidized bed reactors used in this study. Table 2. Description and comparison of toluene growth kinetic coefficients of inoculum strains and dominant GAC-FER isolates. CHAPTER IV Table 1. Description of GAC-FBRS used in this study. Table 2. Relative abundance (% of total) of fatty acids in the microbial communities of five different GAC-FER systems. APPENDIX B Table l. Bacterialstrainsstudiedandreactionofspecie- specific PCR amplification. 29 36 37 45 52 76 92 LIST OF FIGURES CI-IAPTERI Figure l. Processesinbicfilmaccumulation:cellsuanspcrtto the substratum, reversible cell adsorption in equilibrium with desorption, irreversible cell attachment by secretion of biological active adhesives or by special cell structures, growth and biofilm accumulation, sloughing of fragments of the film, and recolonization of open surfaces. Figure 2. Classical biofilm model illusu'ating substrates flux from the liquid phase through a mass transfer layer with width L and intothebiofilmmatrixwithwidthuanddensityXf (afterCriddleet al., 1991). CI-IAPTERII Figure 1. Schematic diagram showing setup conditions of FBRs used for the experiments. Filter system was absent in control FBR (TOLNS and BTX.NS) as well as in the inoculated FBR ('I‘OLS) after day 53. Illustration not drawn to scale. Figure 2. Typical profile of dissolved oxygen and toluene concentration with depth in the bioreactor column. Figure 3. Observed dissolved oxygen consumption (mg/L), toluene effluent concentration (mg/L). and cell density (cells/g of GAC) in the TOL.S reactor inoculated with three different bacterial strains. The bioreactor was fed amended fiter-sterilized groundwater for 53 days to allow the establishment and stabilization of the inoculum members. Figure 4. Densities of inoculated Strains as determined by selective plate counts over time in the TOLS reactor. CFU, colony forming units. 22 28 31 Figure 5. Community fingerprint of bioreactor seeded with bacterial strains G4, PKOl, and Pan. The filtration system was removed on Day 53. Shown is a HpaII digestion of the amplified 168 rDNA from reference cultures (Lanes G4, PKOl, and Pan), and GAC community (Lanes Day 0, 22, 38, 53, 90, and 112). The sizes ofmarker DNA fragments (lanes SIZE) (in base pairs) are indicated on the left. Rm 6. Restriction fragment length polymorphisms of amplified 16S rDNA from S.BTX reactor at day 159. Samples correspondto the 20, 60, and90% reactorcolumn bed heightflanes B, M, and T, respectively) digested with HaeIII, Hinfl, and Msel. ThesizesofmarkerDNAfragmentsaanesS) (inbasepairs)are indicated on the left. Figure 7. Restriction fragment length polymorphisms of amplified 168 rDNA from mature GAC communities digested with HaeIII, Him, and MseI. The lane designations correspond to the bioreactor treatments (see Materials and Methods). The sizes of marteéDNA fragments (lanes SIZE) (in base pairs) are indicated on the Figure 8. Genomic fingerprints of bacterial isolated from GAC communities. Shown is a Mad digestion of the amplified 16S rDNA. Lanes SIZE show the DNA size markers, indicated (in base pairs) on the left. Figure 9. Principal components analysis showing temporal variations of FAME profiles for GAC communities. Reactors: toluene or benzene, toluene, and p—xylene fed systems of seeded (TOLS and BTX.S) or aquifer colonized (TOL.NS and BTX.NS) biofilm communities. Parameters are listed in Table 2. CHAPTERIII Figure 1. REPfingerprintpatternsofbacterialisolatesfrom GAC-biofilm communities. DNA molecular weight standards (lanes MW) are WindIII, pUCl9/Taq-I-pUC19/Sau3AI (Stratagene, La Jolla, CA). The pattern of PCR products generated of chromosomal DNA from inoculum strains PKOl and Pan as well as a positive control (P. aeruginosa) are included. Figure 2. Phyl enetic distance tree produced from partial 16S rRNA sequences (81 1090 positions). Representative members of the various subgroups of the Proteobacten'a and the dominant toluene X 32 33 34 35 38 51 degradingbacterialpopulationsfromGACbiofilmcommunitiesare shown. 168 rRNA sequenceofBacillus subtilr's wasusedasan outm- CHAPTERIV Figure l. Biofilm development in the toluene-fed reactor. The bed height reflects overall biofilm thickness (Open circles); dissolved oxygen uptake is a measurement of biological activity (black circles). Gray arrows are the times at which the microscopic image shown weretaken. Blackarrow showsthefirsttimeatwhichbiomasswas controlled by application of shear forces. Sign 2. SEM micrograph of sterile GAC particle showing ' t surface zones: S, smooth; R, rough; C, cavity. Bar, 5 tun. Figure 3. SEM micrograph of a 3-day-old microcolony mainly growing over rough areas and within cavities of the GAC. Bar, 5 pm. Figure 4. SEM micrograph of a 12-day-old colonized granule from the toluene fed reactor. Most ofthe surface has been colonized with actively dividing rod cells. However, there is smooth (arrow) zone yet to be colonized. Bar, 5 um. Figure 5. Series of confocal micrographs showing biofilm growth on GAC particles in a toluene fed reactor. Each extended focus view was constructed by computer overlay of the optical sections in a 2 series. (A) 16—day-old; (B) 63.day-old; and (C) 77- day-old biofilm structure; bar, 0.5 mm. The biofilm thickness increased from 15 to 300 um between 16 and 77 days as determined by dark field microscopy. Figure 6. Confocal micrographs of a 77—day-old biofilm showing the nature of the channel structures in the toluene fed reactor. (A) horizontal (x, y) optical thin section, 82.6 um from the top of the biofilm (the horizontal line indicates the optical cutting position for the sagittal section); and (B) sagittal (x, 2) view showing the vertical cell disuibution and the cell-free channel reaching up to the surface of the film. Figure 7. Confocal micrograph of the void spaces created by protozoa (arrow) grazing on bacteria in a 153-day-old biofilm community. At this point, the bioreactor had gone through tluee shearing treatments for biomass removal and the biofilm structure 53 65 67 70 displaysnoneofthedistinctiveverticalcellarrangementpattern observedintheearly stage. Bar,5 um. 71 Figure 8. Horizontal (x, y) optical sections of biofilm communities from different field-scale FBRs. Note the spacing between cell aggregates and cell arrangements. (A) TC reactor system with channel-like structure partially colonized by cocci- shaped cells. (B) BTEX fed system showing a 'coral-reef' appearance of bacterial growth. (C) Biofilm structure of JEN system showing bacterial aggregates separated by well-defined void space boundaries (arrow). (D) Micrograph from the PW system showing bacterial distribution and partitioning by cell-free spaces. 72 Figure 9. Horizontal (x, y) optical section (lower half of image) and sagittal (x, 2) optical section (upper half of image) of a 30-day- old field reactor site (TC) showing a fully hydrated biofilm with cell- free spaces and a discontinuous base film (arrow). 73 Figure 10. Laser scanning darkfield photomicrograph ofa77- day-old bacterial GAC coated particle showing variauon of the biofilmthicknessonthesamecolonizedsurface.Bar,15ttm. 74 Figure 11. Principal components analysis showing variation in FAME patterns in five different GAC-FBR systems: TOL, BTEX, TC, PW, and JEN. 78 APPENDIX A Figure 1. Schematic representation of the ribosomal RNA operon showing approximate localization of priming binding sites for PCR amplification. The spacer region varies in length (e. g., number of tRNA's), and sequences among the different operons withina single organism (Brosius et al., 1981). 84 Figure 2. Products of PCR amplification from microbial communities samples. (A) The 16S rDNA amplification yielded a 1,500 bp fragment from axenic culture (lane B) as well as bioreactor samples (lanes C to F). (B) Results of 16—238 rDNA intergenic amplification of the same samples yielded various fragments of different sizes. Phage lambda (A) DNA digested with PstI was used asmarkerflanes A), indicated (inbasepairs) ontheleft. 86 Figure 3. Photograph of ethidium bromide stained agarose gel. Lane MW: molecular weight DNA markers, indicated (in base pairs) on the left. Lane ¢ DNA: PCR amplification of water. All other lanes are HpaII restriction endonuclease digestion of PCR amplified xii 16S rDNA from: G4, Pseudomonas cepacia; PKOl, P. pikettii; and Pan, P. purida; Day 0, 13, 29, and 65 are bioreactor samples inoculated with the same strains of bacteria at Day 0 and challenged by aquifer populations after day 19. One Interpretation of the results is that Pan becomes the dominant population after Day 29. However, this erroneous interpretation is the result of multiple water populations that happen to have the same restriction gments of Pan when HpaII is used. Differences will be more readily detectable when a second or third restriction endonuclease is put to use. 89 APPENDIX B Figure 1.Ribosomal RNA sequence alignments (corresponding to positions in the Escherichia coli 16S rRNA, 998 to 1017) showing target primer binding sites for strains G4 and PKOI. Sequences are either results from Jizhong et al., unpublished or taken from the ribosomal data base. 91 Figure 2. Difl'erential amplification of bacterial 16S rRNA genes. Lanes A and S, 3. Fr: I standards (in base pairs); lanes B and LPCRwithouttemplate; lanesCtoI-I, anthoOarePCR amplification of Escherichia coli, strain G4, strain PKOl , strain Pan , P. fluorescens, and P. aeruginosa using universal primers pA and pH, and using the universal primer pA combined to the specie- specific oligonucleotide primer pPKV3 respectively; and lanes P to R are PCR amplification using pA and pPKV3 primers of 1:1, 1:10, 3:1 1:1)00 PKOl template DNA in the presence of non-specific DNA W1 . 93 Figure 3. Differential PCR amplification of P. cepacia (G4) from a toluene treating bioreactor community inoculated with the same strain of bacteria using primers pA and pG4V3. Lanes A and F, 1. PSI I standards (in base pairs); lane B, PCR without template; lanes C, strain G4; lane D, bioreactor community, day 63; and lane E, 1:1 ofthesamecommunity DNA de4. 94 Chapter I AN INTRODUCTION OVERVIEW Bacteria in nature have a marked tendency to colonized solid-liquid interfaces (Fletcher, 1979; Costerton et al., 1987; Kolenbrander et al., 1990). The immobilized cells grow, divide, and produce extracellular polymers which frequently form a framework of cdlsembeddcdmanmganicmauixofmicrobialuiginaappin-Scoudeostertm. 1989). Biofilms form on virtually all surfaces immersed in natural aqueous systems including biological surfaces (e.g., aquatic plants) or abiological (e.g., metals). In natural environments, the surface accumulation is not necessarily uniform in time or space. For example, in the case of algal mats found in hot springs or modern lagoonal environments, a thickbiofilm (approximately3lX)-400mm)cancontainbothaerobicandanaerobiczones due to oxygen diffusion limitations (W and et al., 1989). Furthermore, diurnal changes in the different compartments are affected by the production of oxygen in photosynthetic processes during daylight hours. The formation of biofilm communities on sm'faces has some very important economic and ecological implications. Biofilm processes are studied because of the scientific and technological applications of these systems. These systems are stable biological units that can transform a remarkably wide range of chemical substrates (Holm et al., 1992; Wolfaardt et al., 1994). These characteristics have been exploited in sewage and wastewater management systems (e.g., trickling filters) and in the development of new bioremediation technologies for detoxification of contaminated sites (e.g., biological activated carbon fluidized bed reactors). However, little information is available on the possible roles of microbial diversity, population interactions, and abiotic factors on the maintenanceofstr'ucttueandfunction withinthesecommunities. Duetothestrong interrelation between the microbial processes, substrate removal, community structure and 1 2 composition, a practice which neglects these facts is deemed to cause erroneous design and improper Operation of biological waste water treatment facilities and/or bioreclamation of contaminated sites. Theunderstandingoftheseinteractiveprocesseswillallowusto namthediffemncesbaweenhbaataymodelsandactualprocessesinnatum. Without a rigorous and systematic understanding of these ecological relationships then accurate mathematical models can not be formulated. These models will be extremely valuable for engineering biofilm processes. Our knowledge of the forces and principles involved in regulation of biofilm development will help in efforts to manipulate and exploit these processes for technological and ecological advantages. Biofilms are Significant in bioengineering and fundamental microbiology. Thus, conceptual and methodological approaches are required which will aid to better describe and control biofilm processes. The effects of many biological and abiotic factors on structuringofbiofilmsarestilltobedetermined. Studiesareneededontheimpactof environmental conditions on microbial community structure. At the same time, we need to evaluate the impact of population interactions (e. g., extinction vs. coexistence; allochthonous populations vs. indigenous populations), and how such interactions dictate community structure. These principles which regulate biofilm development should help in efl'orts to model, control, and exploit biofilm related processes of industrial, medical, and environmental importance. This study was organized around the following objectives: i. to examine the fate of allochthonous populations in preemptive colonization of a porous media and after being challenged by indigenous groundwater bacteria in an aerobic GAC-FBR ii. to examine the role and stability of seeded pioneer populations iiitoexaminetheroleandstabilityofsecondarycolonizers iv. to evaluate the effects of substrate composition changes on community structure v. to isolate and characterize BTX degrading groundwater populations BIOFILMS WWW" Biofilmdevelopsasamfltofscvflal concurrent processes: (i) transport of cells to the substratum, (ii) adsorption of cells, (iii) growth and metabolic processes at the colonized surface, (iv) detachment ofportions ofthe film, and (v) recolonization (Figure 1). 13:5” ©\/” lfilglg Clean 7 Reversible Substratum Tramport Adsorpt'mn Desorption Figure 1. Processes In biofilm accumulation: cells transport to the substratum, reversible cell adsorption In equilibrium with desorption, irreversible cell attachment by secretion of biological active adhesives or by special cell structures, growth and biofilm accumulation, sloughing of fragments of the film, and recolonization of open surfaces. In general, microbial colonization begins as planktonic cells approache a substratum. These processes may occm‘ by either passive transport (diffusion or advective transport, Brownian motion), and/or active biologically controlled transport (flagella mediated motility, and/or swarming motility) (Griddle et al., 1991). Active transport of motile cells can also be affected by positive or negative chemotactic responses to gradients 4 of some biologically relevant compounds. As the bacterium meets the surface, reversible adhesion of cells to the substratum initially occurs via physicochemical processes. Surface properties, liquid phase and environmental conditions such as temperature or pH influence the degree of reversible sorption (Fletcher, 1979; Mills and Maubery, 1981; Fletcher and McEldowney, 1983; McEldowney and Fletcher, 1987; Van Loosdrecht et al., 1990). In addition, biological factors such as species composition and interspecific interactions, and their cell surface properties have also been shown to affect levels of adhesion (Warren et al., 1992). For example, the ecological relevance of biological interactions among genetically distinct cell types during colonization and coaggregation of oral bacteria have been reviewed (Kolendrander et al., 1990). During the reversible adhesion phase, organisms might become detached by moderate shear forces and still capable of exhibiting Brownian motion and/or flagellar motility (I-Iarkes et al., 1992). Meanwhile, irreversible adhesion is characterized by active microbial processes in which production of extracellular polymers, fibrils, and adhesives mediate cell-substratum interactions (Beachey, 1988; Vandevivere and Kirchman, 1993). Thesehrcludespecialceflularsu'ucmressuchaspihfoundonmembersofdre Enterobacten‘aceae and Pseudomonadaceae and many others, and holdfasts which occur on some prosthecate bacteria. Subsequent cell binary fission leads to the formation of microcolonies and eventual biofilm formation. Such biofilms consist of bacterial cells embedded in a matrix of their own exopolysaccharide glycocalyces which helps to nmintain the film structme. A biofilm consists of microorganisms immobilized at a surface and an overlaying liquid or gas layer. Sometimes the substratum can also serves as nutrient rate-limiting step for microbial growth as illustrated in wood decomposition. On the other hand, a continuous liquid phase which may fill and interconnect fraction of the biofilm volume with the bulk liquid solution, contain different dissolved and suspended particulate materials and clearly influence diffusion processes of substrates, nutrients, waste products, and gases 5 into the film matrix. Thus, the liquid compartment can directly affect biofilm behavior (e.g., microbial activity) primarily as a result of the mixing patterns (fluid dynamics), and system geometry. The gas phase may be absent in some biofilm systems. Oxygen can in these systemsbeprovideviaaeration. Mirdngpattansmayalsofacilitateremovalof gaseous microbial products such as C02 and CH4 from inside the biofilm compartment of anaerobic biofilms. MASS BULK LIQUID TRANSFER LAYER substrate flux ——) X T {>2 L water flow Figure 2. Classical biofilm model illustrating substrates flux from the liquid phase through a mass transfer layer with width L and into the biofilm matrix with width Lf and density Xf (after Criddle et al., 1991). Descriptions of substrate utilization processes in biofihns have been based on idealized biofilm models consisting of an homogenous matrix of bacteria and their polymeric materials with uniform density, Xf (mg/cm3), uniform thickness, Lf (cm), and a laminar transfer layer, L (cm) through which substrate is transported from the btrlk liquid phase (Figure 2). Within the biofilm, substrate moves by molecular diffusion and is consumed locally. This model has been used for derivation of differential equations to describe substrate removal kinetics in biofilms (Williamson and McCarty, 1976; Rittrnann and McCarty, 1980; Criddle et al., 1991). This provides the methodological tools for determining rate limiting processes and prediction power. 6 In order to address biodegradation issues in fixed-film systems, betta' knowledge of biological reaction kinetics and improved structural models are required. Cluistensen and co-workers (1989) have shown that the structure of a biological film used for wastewatertreatmentwill malargeextentbedeterrninedbythetransportationofsubstrate andreactionproductsinsidethefilm. Adescriptionofthesystembasedonsubstrate remalkineticsalonewillfailsincethereactionkineticscausesinevitablechangesinthe biofilm structure. Design rules for substrate removal in biological films therefore must include carelations between substrate removal kinetics and the structure and development of the film. \/Rele¥mgf_bigfi1ms - The famation of biofilm communities on Stufaces has sane important economic, technical and ecological implications. The importance of attached microbial community processes are manifest in many forms, from beneficial processesr’n Wenvironmenttoundesirable roles asdisease agents (Characklis and Wilderer, 1989; Characklis and Marshall, 1989; Costerton et al., 1987). The fouling of heat exchanger tubes, cooling towers, and wastewater pipes by biofilms increases heat transfer resistance, energy losses, fluid frictional resistance and will reduce the overall perfa'mance eventually rendering these systems almost inoperative . The resultant energy loss and reduced performance, along with the need for regular cleaning, cost hundreds of millions of dollars per year on a worldwide scale (Marshall, 1992). In addition, microbial processes can accelerate deterioration of metallic substrata wherein sulfate-reducing and acidogmicbaaefiammemaaobiczawmmebiofilmmemlmwrfacecaninidamcamsim by causing cathodic depolarization at the metal surfaceWy reducing the equipment lifetime. Health risks associated with biofilm accumulation on teeth and gums, urinary tract, intestines, and after insertion of prosthetic devices into the human body have been shown (Costerton et al., 1987). J Many transformation processes in nature are accomplished most efficiently by mixtures of populations. Biofilms in natural aquatic ecosystems frequently influence water 7 quality by affecting dissolved oxygen content, nutrient fluxes, and serving as sink for many toxic and hazardous materials. For years, engineers have exploited these characteristics in fixed-film systems for extraction and biological oxidatiar of organic and inorganic contaminants found in danestic, agricultural and industrial wastewaters (e.g., fluidized bed reactors). These systems are based on particles that provide a large surface arufabiofilmawumtflafimmdmeabflityofflnseesmblishedpopulafionsmmsfama wide range of chemicals. Biotechnological applications of biofilm include the extraction of minerals (biohydrometallurgy), while in other industrial uses the productivity (yield) and stability of the biotransfa'mation processes are improved. W - Attached microbial cells can play important and not well understood roles in the maintenance of ecosystem stability. For example, biofilm comrmrnities can act as microbial reservoirs, aiding in the repopulation of surrounding waters when favorable conditions for growth are present (Fletcher, 1979). The predominance of attached growth within a broad range of environmental conditions suggests that this mode of growth must provide an important selective advantage. Possible advantages associated with attachment and biofilm fa'mation have been reviewed (Breznak et al., 1984). First, fixation and preservation of position in preferential zones while preventing extinction by eluding washout near food sources. Accumulation of substrates at the solid surface and their subsequent availability for microbial uptake may also be an influencing factor for cells attaching to surfaces. Another possible advantage can be the optimization of substrate and waste transpat from the attached cells by either diffusive and/0r advective transport. Planktonic cells will tend to be transpated within their locus of Sturounding liquid. Therefae suspended cells will benefit mainly fiom diffusion alone. Protection against predators has been observed in biofilm systems. This is probably the result of sequestering of prey and diminished of area exposure to attack. Finally, attached communities can create and maintain microenvironmental conditions which may be advantageous for growth or survival but which are not achievable under suspended 8 planktaric states (for example, maintenance of anaerobic zones, optimal pH, as well as avoidance of toxic or temperature shocks, and desiccation). Biofilm formation is limited mainly by the availability and transpat of nutrients from the surrounding aqueous phase (Marshall, 1992). Druing early stages of biofilm formation however, oxygen and nutrient diffusive processes are normally not limiting factors. Once multilayers ofbacterial cells become sequestered in their own polymeric matrix,diffusiar beconres amajorfacta'indetermining tlremicrobial structrueatthe colonized surface. Microsensor technology applied to relatively thick aerobic biofilms has shown the existence of steep oxygen and nitrate gradients demonstrating the importance of diffusive transport processes (Dalsgaard and Revsbach, 1992). These gradients develop as a result of rapid oxygen, nitrate, and nutrient consumption by aerobic bacteria, at a' near the water-biofilm interface, and the comparatively low rate of diffusion of oxygen and nitrate through the biofilm matrix. The chemical and physical activities of these microbial communities produce a homogeneous system at the colonized surface (Lappin-Scott and Costerton, 1989). Organismslivingwithinthebiofilmhaveatendencytobemaestableonatemporaland spatial basis than planktonic populations. A general observation has been the resilience of such communities against perturbations or potentially lethal factors such as biocides in the nearby liquid phase. T‘IuWafiyimportant in the biomfical treatrrrentfilofilm W (Blenkinsopp et al., 1992; Brown and Gauthier, 1993). Microaganisms are distinguished from multicellular a'ganisms by their ability to existasisolatedurricellularformsatleastinpartoftlreirlifecycle. The studyofrrricrobes can thus contribute to our understanding of intrinsic cell properties (e.g., control of gene expression). The influence of interspecific interactions on corrrrnunity structuring is a cartinuing problem in microbial ecology. Current ecological theaies are based heavily on the concept of competitive exclusion and the assumption that communities exist at canpetitive equilibrium. Therefae, success or survival is based mainly on the 9 physiological fitness of each competitor in a stable uniform environment. Since competitive equilibriumrequires thattheratesofchangeofallcompetitorsbe zero, and since the physical environment, predation and other factas are changing constantly, it seems likely that true equilibrium rarely occurs in nature (MacArthur and Levins, 1967; Garden et al., 1969; Lewin). There is increasing evidence that competitive exclusion occurs rarely in nattual systems (McNaughton, 1978; Dykhuizen et al., 1983; Wiens, 1983; McCormick et al., 1991). Even in kinetically distinct bi-species competition experiments using steady-state chemostats, the exclusiar of one species is rare, perhaps due to either resource or space partitioning (Levin, 1972; Veldkamp et al., 1983). Dworkin (1991), has suggested that horizontal interactions among microbial populations are an integral feature of the multicellular nature of biofilnrs. These interactions take place when: (i) a multicellular more has to be established, (ii) a multicellular activity has to be accomplished, or (iii) information has to be distributed among the populations. While a rich body of mathematical equilibrium tlreaies has been developed, they are not necessarily valid for solutions to natural communities (Fredrickson and Stephanopoulos, 1981; Veldkamp et al., 1983). The effects of many abiotic and biotic factors on community suucuuesfiHmedsmbedemrminedandmaemfamadonisneededonhaimnmlconuol levels on community Structming. BIOFILMS IN POROUS MEDIA Groundwater is one of the principal water sources for domestic, industrial, and irrigation uses. Its cartamination by aromatic and alkyl substituted aromatic hydrocarbons such as benzene, toluene and xylenes (BTX) has become a serious threat to human health. Some pathologies have been attributed to BTX contaminated groundwater including benzene- irrduced carcinogenesis (e.g., leukaemogenesis) and non-specific effects on the central nervous system of vertebrates (Dean, 1978, 1985). Leakage from underground gasoline 10 and petroleum storage tanks, and distributions systems are the major causes of this pollution. Release of such compounds to the environment, either naturally or accidentally, can severely deteriorate water quality and have adverse effects on biological systems. These effects (Moae et al., 1974) include lethal toxicity, which is ascribed to impairnrent of essential cellular and subcellular processes (e.g., modified membrane integrity and transpat systems) as well as alterations of physiological or behavioral activities (e.g., abnamal responses to physical and chemical stimuli). The fate ofthe‘trace levels ofthese organics in aquifer systems is governed by physical (solubility, adsorption, hydrogeology, volatilizatiar), chemical and biological factors. On a long term basis, biodegradation in aquatic environments appears to be the maja' attenuation mechanism (Atlas, 1981; Davis and Carpenter, 1990; Leahy and Colwell, 1990; Kcnopka and Turco, 1991). A diverse group of heterotrophic bacteria are known to posses the metabolic ability to utilize BTX compounds as their sources ofcarbon and energy (Olsen et al., 1989; Ridgway et al., 1990; Young, 1990; Fredrickson etal., 1991). Several metabolic pathways, either aerobic or anaerobic, have been described (Evans et al., 1991; Hutchins, 1991; Edwards et al., 1992). For toluene alone, five different aerobic pathways are currently known (Zylstra and Gibson, 1991). In general, the different pathways for aromatic oxidation have initial conversion steps that are carried out by different enzymes. Such enzymes activate the ring structure by the introduction of oxygen atornstoform alimited numberofcamnoninterrnediates; protocatechuate,cathecolsand substituted cathecols. These are the substrates for ring cleavage and further metabolism to TCA cycle intermediates (Van der Meer, et al., 1992). The rates of microbial transformation are generally governed by physical processes (mass transfer and diffusion) as well as the biological process itself (substrate transpat and enzymatic machinery). Mass transfer limitations a' bioavailability of substrates (both electron W and electron accepta) or nutrients however, may limited removal of low concentrations of BTX by suspended bacteria in aquifers. At substrate concentrations at 11 whichgrowthanddecayratesareequaLnetgrowthwillnotoccur. Intlreabsenceofan alternative energy source, establishment of deer populations will not take place (Rittmann and McCarty, 1980; Criddle et al., 1991). This threshold substrate carcentration mybeinexcessoftherecommendedstandardforpotable water. Atthe monenawelackcompleteurxlersmndingofdrefacmthatpromaemcalduamea biodegradability in nature. In order to gain that knowledge it is necessary to evaluate closer the interaction of abiotic factors with biological processes. Thecostsmexecuteammedialpmgrammgroundwaterconmminawdsitescanbe staggering and funds available to clean up the number of seriously contarrrinated areas are insufficient. The costs of physical and chemical remedial programs for the average site can range from several thousand to millions of dollars per site (Hickey et al., 1991; Evans, 1994). There are only two courses of action: clean up fewer sites, or develop more econorrrical technologies that significantly reduce the cost of reclamation. One attractive alternative is the use of biological treatment, which is generally mac econanical and may significantly reduce the cost of clean up. The success or failure of biorernediation technology is determined by a variety of environmental factas including temperature, pH, nutrients, trace elements, electron acceptors, and substrate composition and bioavailability. The interactions of these factas arebetterunderstoodandcanbemanipulatedinordertooptimize microbial growth, survival and performance. Aerobic granular activated carbon fluidized bed reactors (GAC- FBR) have been used for the reclamation of BTX contaminated groundwater in laboratory and field scale systems (Ridgway et al., 1990; Hickey et al., 1991; Jing et al., 1992). Low effluent concentrations of these compounds are achieved in cost effective pump and treat a' enhanced in situ systems. The GAC-FBR process is a fixed-film biological treatment which destroys the contaminant, coupled with the adsorption properties of the activated carbon, fa' ensuring robust high capacity treatment. High surface area per unit volume provides for bacterial colonization to ensure a high-rate biological treatment. Other 12 advantages include, the ability to achieve low-ppb BTX effluents in shat detention times (4-10 minutes); no off-gas production; ability to treat low-concentration waste waters; and biological reduction and adsorption in a Single reactor. The biological factors involved however, are poorly understood. An improved understanding oftlrese factors will help to define microbial behavior for a wider range of conditions. populations with the appropriate catabolic pathways are present, environmental restoration may consist of only optimizing growth conditions for the selected group of microbes. However, reliance on these populations may be inadequate, especially in sites where environmental conditions may not be suitable for growth or survival of those microorganisms. Degradation of specific compounds can be accomplished or enhanced by introducing organisms with unique physiologic traits at contaminated sites or in bioreactas. Moreover, the current understanding of the mechanisms involved in xenobiotic degradation at the enzyme and genetic level (Kukor and Olsen, 1990; Zylstra and Gibson, 1991) have led research on the construction of recombinant organisms with novel routes of degradatiar with the use of cloned genes. Many microbial strains have been genetically manipulated by incorporation of extra catabolic genes or by controlling their regulatory mechanism (Lehrbach and Trmmis, 1983). In situ experiments have shown that such microbes can be successfully used for site remediation under selective pressure (Chakrabarty, 1986). Nonetheless, biosafety concerns persist with respect to the deliberate release of genetically manipulated populations to the environment and this remains an area of debate (Tiedje et al., 1989; Dunster, 1992). Regardless of the possible shat-term beneficial effects of using transgenic organism to bioremediate contaminated sites, important ecological issues must first be considered. These include persistence and reproduction of the introduced strain, interactions with other organisms and with its environment, and possible effects of the introduced population upon ecosystem function and stability. Our current insufficient 13 understanding of survival strategies ofmicroorganisms in natural systems (Roberson and Firestone, 1992; Pipke et al., 1992; Siegele and Kolter, 1992; Smets et al., 1993), increasesrisksassociatedwithreleaseoftransgenic microbes. Although manyoftlrese mcombinantmicmagamgnswihprobablybelessfitmanindigemuspopulafions, important exceptions may arise and many generations may pass befae the organisms disappear completely. Ftuthermore, the observed ubiquity of biofilms, resilience to paturbations,high cell densityandcloseproximitytooneanother,arrdthecreation and maintenance of unique microenvironmental conditions give rise to irnpatant ecological considerations since these communities may serve as potential refuges for non-native organisms (W agner-Diibler et al., 1992; Warren et al., 1992). Although natural selection will tend to increase fitness of the released transgenic microbial population, genetic exchange can certainly be an alternative pathway for the fixation of a novel trait in a community (Orvos et al., 1990; Stewart and Sinigalliano, 1990; Ramos-Gonzalez et al., 1991; Romanowski et al., 1991, 1992; Barkay et al., 1993). Exchange of genetic material among microbial populations has been known to occur for mac than 50 years (Avery et al., 1944). Bacterial genomic plasticity and gene transfer mechanisms have beendescribed: (i) transferbydirectcelltocellcontactbetween adoncr and a recipient cell (conjugation) (Freter, 1983; lppen—Ihler, 1989), (ii) uptake of naked DNA (transformation) (Stewart, 1989), and (iii) phage-mediated transfer (transduction) (Kokjohn, 1989). The role of gene transfer in the ecology of microbial communities and promoting physiological diversity are not known. Carjugal gene transfer in a wide range of natural environmental carditions, and subsequent generation of new novel phenotypes has been noticed in aquatic environments (Paul et al., 1991; Barkay et al., 1993). While the occurrence of plasmid transfer between marine bacteria in aqueous environments has been observed, there is evidence showing significantly higher transfer frequencies among cells attached to bead surfaces in biofilm communities (Angles et al., 1993). Also, when naked nucleic acids are adsorbed onto surfaces, resistance against endonuclease 14 degradation and subsequent bacterial transformation has been repated (Romanowski et al., 1991). Thus, the influence of non-indigenous populations and their genes on function and snucnneofsmfacecolmizedccnmunidesisanimpamntaspectofecobgicalfisk assessment of deliberate release of transgenic organisms to the environment. " -- Methodologies must be preceded by a framewak of critical scientific questions for which answers are required in ordertogain understandingofrelevantecologicalandpractical issues. The selectionof analytical methods will also depend upon a desired level or scale of resolution (molecular-, cellular-, population-, community-, or system-level). Furthermore, the level of observations can also be subdivided into properties, processes, and biotic-abiotic components. A multiplicity of traditional microbiological culture-dependent techniques, molecular-based methods, and microscopical procedures are currently available for ecological studies of biofilm systems (Costerton, 1983; Marshall, 1986; Characklis and Wilderer, 1989; lad and Costerton, 1990; Ney et al., 1990; Caldwell et al., 1992). A qualitative and quantitative description of the microbial canposition can partially be assessed by using traditional enrichment-isolation procedures, plate counts, or liquid culture techniques. A small fraction of the total diversity however, seems to be represented on those bacterial inventaies (Wayne et al., 1987; Torsvik et al., 1990; Ward et al., 1992). Thus, success may be limited by the failure to perceive the niches of many microorganisms or to reproduce these niches in artificial culture environments. In addition, culturing bacteria from biofilms requires dissociation of the cells by potentially harmful procedures. The application of gradient chambers for cell isolation and characterimtion represents an important improvement for culttning previously described unculturable organisms (Wolfaardt et al., 1993; Emerson et al., 1994). Multidimensional gradients can be build to cover a broad range of physic and chemical parameters creating heterogeneous envirarments for better simulation of natural conditions. 15 Molecularmethodologiesbasedintheuseofbiochemicalmarkers allow the study of natural communities free of the bias inherent in cultured dependent methods. Molecular probes targeted to specific biomarkers (DNA, ribosomal RNA, proteins, lipids) are useful tools for the characterization of phylogenetic, enzymatic, and cell surface composition of microbial populations (Adachi et al., 1993; McSweeney etal., 1993). In particular, the extensive phylogenetic work on ribosomal RNA championed by Woese (1987, 1993, 1994) has spanned new frontiers for microbial community analysis. Ribosomal RNA based methods fa' analysis of community structtue and composition have been successfully applied to the study of natural systems without the need of culturing the members of the community (Weller et al., 1991; Spring et al., 1992; Amosti and Repeta, 1994). They have also led to the development of nucleic acid hybridization probes suitable for spatial analysis of specific populations in name (Anrman et al., 1990; Wagner et al., 1994). In addition to direct comparison of the nucleic acid sequences (Weller and Ward, 1989; Britschgi and Giovannoni, 1991), numerous groups have used the rapid method of PCR amplification of this gene as well as the complete rRNA locus as a simple method for identification of bacterial species and genera (BOttger, 1989; Reysenbach et al., 1992; Muyzer et al., 1993) . This technique allows a rapid synthesis of desired sequences from genomic DNA by DNA chain extension from two opposing primers catalyzed by a DNA polymerase (Mullis and Falcona, 1987; Keohavong and Thilly, 1989; Steffan and Atlas, 1991). In this latter procedure, the amplified DNA (rDNA) is also subjected to restriction analysis (Moody and Tyler, 1990; Hook et al., 1991; Vaneechoutte et al., 1992; Massol- Deya et al., in press; see Appendix A). The resulting restriction fiagrnent pattern is then used as a fingerprint for the identification of bacterial genomes or as quick assessment of genotypic changes of community samples, over time or between different locations. The procedures have the potential to differentiate between closely related organisms. Nonetheless, difi‘erential rRNA recoveries from microbial populations of a natural systems can introduce bias to the community analysis. The potential bias introduced by sampling 16 problems, cell lysis, or nucleic acids recovery efficiency need to be examined on an Fatty acids derived from phospholipid components of the cellular membranes of microorganisms have been used to estimate microbial biomass and provide insight into the taxonomic and functional diversity ofnatural microbial communities (Vestal and White, 1989; Rajendran et al., 1992; Frostegard et al., 1993). Community-level fatty acid analysis basically entails the extraction of fatty acids from a sample with organic solvents followed byanalysisofcertainfractionsoftheextractedmaterial. Thisapproachcangerreratesimple and reproducible irrdicatas of the relative similarities between microbial communities. Interpretations of community-level fatty acid profiles have been based on two general assumptions: (i) that phospholipids comprise a relatively constant proportion of cell biomass, and (ii) fatty acid composition between taxonomic groups results in "signatures" which can be detected and interpreted (Vestal and White, 1989). Phospholipid contents however, varies across taxa (Haack et al., submitted), and lipid and fatty acid profiles are known to vary quantitatively with changes in the growth environment (Kamimura et al., 1993; NordstrOm and Laakso, 1992; Nordstrom, 1993). Based on these factors, interpretation of community fatty acid profiles in terms of biomass or taxonomic composition, must be viewed with caution until knowledge of the quantitative and qualitative distribution of fatty acids over a wide variety of taxa, and effects of growth conditions on fatty acid profiles, is more extensive. Microbial activity measmements can also be defined at different levels of resolution dependent upon the questions posed. Ftu'thermore, these measurements can be categaized as either in situ activity and potential activity. Direct in situ measurements of microbial activity offers the advantage of obtaining dynamic informatiar of the system. Some of the available techniques include radiolabeling/autoradiography, radia'espirometry, use of dyes or inhibitors, and chemical analysis of transfa'mation products. These direct activity measurements nonetheless have their own problems including penetration of substrates, 17 dyes and reagents through the film matrix. This is particularly true when molecular probes are use for in situ measurements. Microsensor technology has been one of the most powerful analytical techniques for characterizing chemical and metabolic activity gradients in microbial films (Binnerup et al., 1992; Dalsgaard and Revsbach, 1992; Ktihl and Jorgensen, 1992; De Beer et al., 1993). It can be used to measure high resolution depth profiles of chemical species of biological relevance such as 02 (oxygenic respiration, or gross photosynthesis), N20 (denitrification), H+ (proton production/consumption), NO3' (net nitrate production/consumption), H28 (sulfidogenesis, or anoxygenic photosynthesis), NIL:+ (ammonia production/consumption), and H2 (hydrogen production/consumption). Complications however occur due to the diffusive nature of surface films, leading to fluctuations in water flows, and three dimensional related problems. The microbial potential activity in biofilm systems can be measrncd by the use of confocal scanning laser microscopy coupled to fluaescently labeled probes, chemical or electrode analysis of transformation products by microsectioning the biofilm, and immunological and nucleic acid probes (Amman et al., 1990; Wagner et al., 1994). Nevertheless, these approaches present a rather static picture of the metabolic processes at a single moment in time. Finally, microscopy is one of the best ways to understand the spatial cell organization in a biofilm. Microscopic techniques are relatively easy to understand and highly infamative. Observations can answer questions about morphology, cell arrangements, surface and attachment structures, extracellular materials, and when canbined with specific probes or dyes, identity and activity of individual cells. Advance methods currently used for direct visualization of biofilm structures includes X-ray nricroanalysis (e.g., location of elements in the biofilm), and scanning electron microscopy (e. g., distribution and morphology of cells at surfaces). Although electron microscopy offers superb resolution of ultrastructure details (Marcelino and Bensosn, 1992), it is damaging to specimens and suffers from fixation and sectioning artifacts. 1 8 Nondestructive experimental techniques must be used to examine biological samples in their natural state. Confocal scanning laser microscopy (CSLM) has recently emerged as the solution to this requirement. CSLM is a rapidly advancing technology which offers detailed visualization of thick biological samples in which out-of-focus blur is essentially absent (Wilson, 1989; Wright et al., 1993). First, the shallow depth of the field (0.5-1.5 pm) of confocal microscopes allows information to be collected from a well definedopticalsectionratherthanfiommostofthespecimenasintheconventionalhght microscope. Second, the CSLM optically sections specimens so that physical sectioning artifacts observed with light and electron microscopy are elinrinated. Because optical sectiaring is noninvasive, living as well as fixed cells can be observed with greater clarity. Examination of specimens can be accanplished while maintaining the integrity of the three- dimcnsional matrix and with minimum sample processing. Therefae, it is no longer necessary to disrupt the community superstructure when studying the molecular or belravioralaspectsoftheirecology. AnodreradvantageofCSLMisthatspecimenscanbe optically sectioned not only perpendicular to the optical axis of the microscope (x, y), but also vertically (parallel to the optical axis of the microscope) (Carlsson and Liljeborg, 1989; Shotton, 1989). Stacks of optical sections taken from successive focal planes can be reconstructed to produce a three-dimensional view of the sample. Thus, CSLM not only bridges the gap between light and electron microscopy, but provides a means to observe structural components and ionic fluctuations of living cells and tissues in three dimensions. Chapter II SUCCESSION AND CONVERGENCE OF BIOFILM COMMUNITIES IN FIXED-FILM REACTORS TREATING BENZENE, TOLUENE, AND p—XYLENE CONTAMINATED GROUNDWATER BACKGROUND Reclamation of contaminated subsurface resources have focused on the use of microorganisms. The catabolic potential of multiple bacterial populations to utilize aromatic and alkyl substituted aromatic hydrocarbons either aerobically or anaerobically as carbon and energy source has been described (Leahy and Colwell, 1990; Ridgway et al., 1990; Aelion and Bradley, 1991, Hutchins, 1991). When indigenous populations with the appropriate catabolic pathways are present, environmental restoration may consist of only optimizing growth conditions for this selected group of microbes. However, reliance on these populations may be inadequate, especially in sites where environmental conditions may not be suitable for growth or survival of these microorganisms. Degradation of contaminating compounds can also be accomplished by introducing and selecting for organisms with unique physiologic traits at contaminated sites a' in bia'eactors where groundwater extraction and treatment is required to prevent migration of the contaminant plume. Assessment of the fate and influence of introduced populations into heterogeneous rrricrobial ecosystems has ecological and practical significance. Although the processes of species succession has been studied intensively in ecology (Gorden et al., 1969; Sirnberloff and Wilson, 1969; Andrews et al., 1987; Kinkel et al., 1989; McCormick et al., 1991), little is known about contributing processes on pathways of community development within microbial populations in natural habitats. There is direct experimental evidence suggesting that interspecific canpetition within a given trophic level may be an important 19 20 determinant in structuring microbial communities (McArthur and Levins, 1967; McCormick et al., 1991). We studiedmicrobial successioninaerobic fluidizedbedreactas (FBR) using granularactivatedcarbon (GAC)asthebiomasscarrier. Thesurface adhesion ofbacterial populations with subsequent cell binary fission and exopolymer production, leads to the fa'mation of biofilms (Costerton et al., 1987; Warren et al., 1992). FBRs are now in connnercial operation for biaemediation of groundwater contaminated with benzene, toluene, etlrylbenzene, xylenes (BTEX) and other substituted aromatic hydrocarbons (Hickey et al., 1991). In turn, our ability to understand the function and behavia' of mutual and introduced populations in these reactors is of particular relevance since they are key environmental mediators of the transformations of these chemicals. Microbial succession was examined using a reactor initially colonized with three well-studied toluene degrading bacterial strains which were then challenged by errderrric aquifer organisms residing in the groundwater. Mature biofihn communities from this reactor were then compared to communities of reactors colonized directly by aquifer organisms. In addition, the influence of changes in carbon sauce on community structure was evaluated. Classical growth dependent microbiological methods in combination with genanic community fingerprints and community-level fatty acid analysis were used to describe the relative genetic and physiologic relatedness among these biofilm communities. We found convergence of populations in the seeded and the natural aquifer colonized GAC communities when toluene was used as sole carbon source. Although all inoculated strains were outcompeted by the indigenous groundwater populations, survival of one of the inoculated strains in a mature l 13—day-old biofilm community was observed. This demonstrated the potential of biofilms as refuges for allochthonous populations. In addition, an studies showed that the available carbon sources are important factors in structuring of the community. consisted of l-L sterile glass columns (2.54 cm diameter x 195 cm long) and were operated as a one-pass upflow system without recycle at a flow rate of 0.2 l/min (Figure 1). Groundwater from a deep aquifer underlying the MSU campus was amended with toluene or a mixture ofberrzene, toluene and p-xylene (BTX 1:1:1) at a organic loading rate of 5.4 kg COD/m3-day. In addition, the influent was supplemented with pure oxygen (11 - 13 mg/l inlet concentration), and a nutrient solution (NH4C1 & KI-12P04) to achieve a ratio of 30:5:1 (carbon : nitrogen : phosphorous). Granular activated carbon (GAC; Calgon Filtrasorb 400, Calgon Company, Pittsburgh, PA) was used as the carrier matrix. Approximately 100 g dry weight of GAC per reactor was washed with deionized water to remove carbon fines, and then sterilized by autoclaving (2 h at 121°C) before use. The GAC had a geometric mean diameter of 0.7 mm and an overall density of 1.6. The following FBR systems were operated in parallel for this study: (i) Reactor colonized by indigenous aquifer microbial populations with toluene as the sole carbon source (referred to as TOL.N S reactor [toluene.non-sterileD. (ii) Reactor colonized by indigenous aquifer microbial populations with BTX added as the sole carbon sources (referred to as BTX.NS reactor). (iii) Reactor seeded with three toluene degrading species (initially referred to as TOL.S). This bioreactor was operated in sequential stages: (a) day 0 to 53, filter-sterilized groundwater with toluene as the sole carbon source, (b) day 53 to 124, the filter was removed and groundwater with toluene continued to feed the reactor, and (c) day 124 to 175, no filtered groundwater was fed but with BTX rather than toluene as the sole carbon sources. This latter configuration is referred to as the BTX.S reactor [8, seeded]. The serial filter-sterilimtion system consisted of a 0.30 pm fiber filter, an activated carbon filter and two 0.45 um membrane filters [Polycap 75 ASW/Bell]. 22 Effluent Sarnplin Port i R_e-cycI; _ Inoculum \ | I I I Biofilm — Sampling I Ports | I ' J I I Influent Sampling Port I Toluene WC] | 3 mg/L KH2P04 I Mixer COD/N/P 100:5:1 | r- I quflow — Oxygen Reservior Oxygen Mixer Carbon Filter QPeristaltic Pump 0.30 um Filter Aquifer Schematic diagram showing setup conditions of FBRs used for the experiments. Filter system was absent in control FBR (TOL.NS and BTX.NS) as well as in the inoculated FBR (TOL.S) after day 53. Illustration not drawn to scale. 23 W’ Smn' and andim' uhritialcolonrzatron' ' ofthefilter-sterilized FBRCI‘OLSreactor) usedthreewellcharacterizedtoluenedegrading strains: Pseudomonas cepacia, strain G4 which carries the toluene ortho-hydroxylase pathway (Folsom et al., 1990); P. pickettii, strain PKOI which carries the toluene meta-hydroxylase pathway (Kaphammer et al., 1991); and P. putida, strain Pan which carries the toluene methyl-hydroxylase pathway on plasmid pWWl (Franklin et al., 1981; Harayama et al., 1989). These strains were grown to mid exponential phase in basal salt rrredium (BSM) (Owens and Keddie, 1969) with toluene as the sole carbon source. Cultures were enumerated by acridine orange direct counts, mixed in equal numbers (approximately 109 cells per culture), and used to inoculate the sterile GAC reactor. After recirculation of the inoculum for 2 h, cell adsorption to the carbon was apparent since the liquid phase change from turbid to clear. At this time continuous fading of toluene amended filter-sterilized groundwater was started. Selectivemcdiawereusedtodeterminetlrepopulation sizesofinoculantstrainsin the filter-sterilized FBR. All media were made with distilled water and solidified with 2.2% (w/v) Nobel agar. For strain G4, 1% (w/v) d-sorbitol was used as sole carbon source in basal salt media (BSM) (Owens and Keddie, 1969; see Chapter III); for strain PKOI, 10 ug/ml of kanamycin and y-hydroxybutyric acid (1% w/v) was used in BSM; and for strain Pan the medium was composed of (g/l): sucrose, 10; NaHCO:;, 1; MgSO4-7H20, 5; K2HP04, 2.3; N-laurylsarcosine sodium salt (SLS), 1.2; 20 mg trimetlroprim (after sterilization); 10 ml glycerol. Biofilm samples were dispersed, diluted and plated on these media and incubated at 25°C. Wm: - Physicochemical analyses of all FBR, including measurements of toluene or BTX, oxygen consumption, temperature, and pH, were generally conducted at 2 to 3 day intervals. For BTX determinatiar, 5 ml samples of influent and effluent groundwater was collected in 10 ml vials, supplemented with approximately 0.10 ml of 6 N HCl, sealed with Teflon-coawd butyl rubber septa and 24 aluminumcrimps,andstaedat4°Cuntil use. BTXcompoundswereanalyzedusingagas chromatograph (Varian 3700) equipped with a flame ionization detecta' (GC/FID), a DB- 624 capillary column (1&W Scientific, Folson, CA) and a head space samjrler. The vials waeequihaatedm40°C,dwcaumnm90°Canddreinjecmranddetecmrat2(XI°C. Helium was the carrier gas. For dissolved oxygen (DO) and pH measurements, samples collectedfromoverflowfunnel with builtinstirringbarwcre immediately analyzed with a polarographic electrode coupled to an Orion digital pH/millivolt meter (Orion Model 611). Dissolved oxygen consunrption was calculated as the difl‘erence between the influent and effluent quantities. ' v.0 [k --Biofilmsampleswere collected aseptically from column sampling ports every 2 to 7 days. Cells were removed and homogenized from the activated carbon (approximately 0.2 g wet weight) by repetitive va'texing (three times for 45 s) in 1 ml of cell extraction buffer (Warren et al., 1992). Viable bacterial numbers from GAC samples were determined using medium R2A (Difco, Detroit, MI). R2A plates were incubated at 25°C for 3 to 4 days and total counts and relative densities of different colony types were recaded. For determining cells per GAC, the extracted GAC sample was desiccated at 195°C for a week or until repetitive weight readings were obtained in an analytical balance. Isolation of the major BTX degrading populations from the GAC-FBRs was done as described elsewhere (see Chapter III). Total bacterial cell counts were also determined by acridine orange (A0) epiflourescence microscopy using the method of Zimmerman et al. (1978) as modified as follows. Biofilm homogenates, were fixed in 0.1% (v/v) formaldehyde (final concentration) and then staed at 4°C until processed. Dilutions were made and stained with 0.01% (w/v) A0 [final concentration] for at least 10 min. Appropriate volumes were filtered through black polycarbonate filters of 0.2 tun pore size and 47 mm in diameter (Nucleopae Corp., Pleasanton, CA). Filters were pre-wetted by passing approximately 1 ml of a 0.1% (v/v) Tween 80 solution. Excess stain was removed by a last filtration of 3 ml of 25% (v/v) 25 isopropanol. Thedryfiltersweremountedarglassslides. Adropofimrnersionoilwas placed on top of the filters, followed by examination under epifluaescent illumination. A nrinirrrumof 10randomly selectedfields with 30to75cellseach werecountedarrdaveraged for each subsample. A Leitz phase microscope, equipped with epifluorescent condensers for reflected light excitation was used for the observation and enumeration of microbial cells. WW - Nucleic acid extraction (Maniatis et al., 1982) waspa'famedfromcehpefletsofbactaialisolatesaGACcomunifiesflratwae resuspended in 100 ul of 25% (w/v) sucrose-10 mM EDTA-50 mM Tris (pH 8.0). TB buffer(40trl)containinglysozyme (5 mg/ml)wasaddedalonewith40trlof250mM EDTA (pH 8.2). After incubation at 37°C for 10 min, the cells were Iysed with the addition of250ttlof2% (w/V) sodiumdodecyl sulfate (SDS),andtreatedwith RNaseA [5|Llof2 mg/ml stock] and pronase E [10 ul of 10 mg/ml in distilled water] for 60 min at 37°C. Samples were then amended with 120 pl NaCl (5 M), 85 It] TE (pH 8.0), and 80 ul of 10% (w/v) CTAB solution (cetylttimethylammonium bromide) and incubated at 65°C for 20 nrin. The cell lysate was then extracted once with an equal volume of phenol-chlaoform—isoamyl alcohol (25:24: 1, v/v/v), twice with chloroform-isoamyl alcohol (24:1, v/v) followed by a final extraction with chloroform. The nucleic acid was precipitated by the addition of 2.5 volumes of 97% (v/v) ethanol, washed with 70% (v/v) ethanol, dried under vacuum, resuspended in TE buffer and quantified by measming the optical density at 260 nm (Maniatis et al., 1982). Extracted DNA was subjected to amplification of the ribosomal RNA genetic loci by the polymerase chain reaction (PCR). Universal primers were used to amplify an approximately 1,500 bp fragment using a forward primer which corresponds to nucleotide positions 49 to 68 (5'-AGAGT'ITGATCCPGGCTCAG-3'; primer A) of Escherichia coli 16S rRNA and a reverse primer corresponding to the complement of positions 1541 to 1518 (5-AAGGAGGTGATCCAGCCGCA-3'; primer H) (Ulrike et al., 1989). All primers were 26 synthesizedwithanAppliedBiosystemDNA synthesizerattheMacromolecularStructme and Sequencing facility at Michigan State University. In general, amplification was done in 100pltotalreactionvolumecontaining lmngoftotalcommunityextractedDNAor bacterialisolatesastemplate, 1 pMofeachprimer,250pMofeachdeoxynucleoside triphosphate, 10 pl of 10X Taq buffer, and 2.5 units of T 04 DNA polymerase (Perkin- ElmerCetus, Norwalk,CI')wasused. PCRamplificaticnwasperformedinanautomated thermal cycler (96(1) Perkin-Elmer Cetus, Nawalk, CT) with an initial denaturation [92°C, 130 s], followed by 30 cycles of denaturation [92°C, 70 s], annealing [48°C, 30 s], and extension [72°C, 130 s], and a single final extension [72°C, 6 min]. An aliquot of 5 pl was run in 0.7% agarose gel to evaluate the quality of the amplified fragment. In general, amplification yielkd greater than 10 pg of PCR product. Canmunity (8 pl, 5X concentrated by ethanol precipitation) or bacterial (13 pl) amplifiedDNA wasdigestedat 37°Cforatleast3 bin 15 pl final volumewithtetrameric site-specific restriction endonucleases (HaeIII, HpaII, Msel, or Hirtfl; Boelrringer Mannheimr, Indianapolis, IN). The 168 rDNA restriction fragments were then separated by electrophoresis on 4% (w/v) NuSieve 3:1 agarose gel (FMC, Indianapolis, IN) in 0.5x TAE [Tris acetate-EDTA] at 7 volts per cm, and stained in 0.5 pg per ml ethidium bromride solution. The resulting restriction fragment patterns were then used as a fingerprint to detect similar communities. Species-specific primers complementary to the V3 region of the 16S ribosomal RNA gene of strains G4 and PKOl were constructed for a more sensitive and specific detection of these strains by PCR amplification (see Appendix B). PCR was performed as described above but at an annealing temperature of 55°C in 50 pl reaction volumes. After amplification, 10 pl of the PCR reaction was separated by electrophoresis on 0.7% (w/V) agarose gel in 1X TAE buffer. WWW~Twaym°fufi®bifl canmunities were analyzed using the Microbial ID, Inc. (MIDI; Newark, DE). Duplicate 27 samples of cells collected from fresh GAC samples (approximately 0.1 g wet weight) were treated as follows: (i) whole community cell preparations were saponified at 1m°C with 1 m1 methanolic NaOH (15% (w/v) NaOH in 50% (v/v) methanol), (ii) esterification of the fatty acids at 80°C with 2 ml 3.25 N HCl in 46% (v/v) methanol, (iii) extraction of the fatty acid methyl esters (FAME) into 1.25 ml 1:1 (v/v) methyl-tert-butyl ether/hexane, (iv) aqueous wash of the organic extract with 3 ml 1.2 % (w/v) NaOI-I, and (v) analysis of the washed extract by gas chromatography equipped with a flame ionization detector. Themeanconcenuafionarxlstmdmddeviafionsaswenaspfincipalcomponents analysis for FAME profiles were determined by using SYSTA'I"'M version 5.1 (SYSTAT Inc., Evanston, IL). RESULTS Wu The influentcellconcentrationofthe groundwaterin theopen granular activated carbon-fluidized bed reactors (GAC-FBR) was approximately 107 total cell counts per liter. These microbial populations were a natural and continuous inoculum source for the colonization of the no seed GAC of the toluene and BTX fed reactors (TOL.NS and BTX.NS FBRs, respectively), as well as a challenge to the seeded toluene reactor (TOLS) after removal of the filter-sterilization system. The groundwater at the bioreactor influent was 13°C (:1: l) and a pH of 7.1 (:t 0.3) throughout the course of the experiments. MW - Toluene (TOL.NS reactor) and BTX (BTX.NS reactor) fed reactors were operated in parallel at the same organic loading rate. A description of the startup conditions and overall performance is given in Table 1. After a 5 to 7 day lag phase, dissolved oxygen (DO) consumption increased steadily as did biomass accumulation on the GAC particles. Steady-state conditions were assumed to have been attained when DO consumption was constant. This value was also commensurate with the oxygen required for the complete biodegradation of the added toluene. Steady-state conditions were generally achieved after 15 days, at this time substrate removal was 98 to 99% . A typical 28 profileofDOandtduenecmcmuafionvdmdepthmdnmacmrueaunentcdumnisshown inFrgure 2. Ascanbeseen,morethan80%ofthetoluenewasconsumedinthefirst30% of GAC bed height. Similar results were obtained with the column fed BTX as substrate (data not shown). Dissolved oxygen (mg/L) Toluene (mg/L) ommwmm 95 Bed Height Figure 2. Typical profile of dissolved oxygen and toluene concentration with depth in the bioreactor column. W -— To determine the influences of non-indigenous populations on community structure, equal numbers (2 x 107 cells/g of GAC) of Pseudomonas cepacr'a (strain G4), P. pickettii (strain PKOI), and P. putida (strain Pan) preinduced for toluene metabolism were initially inoculated into the sterilized FBR. The reactor was fed filter- sterilized groundwater with toluene to allow the establishment ofthe seeded populations (TOLS). A lag phase of 14 days was observed before significant oxygen consumption or biomass accumulation occurred (Figure 3). A phase of transient toluene acclimation occurred from day 14 to 18. This was followed by a 10 day growth phase. 29 aégsfithsgfiaeopsagaps .83385 has 996 mm .8588 33 EB»? 8u§.§a 2:. n .8on..— e5 .0529 6:85.. chum « .8Qhu=8§A§§3§§§EV§Z~ Ma 88.9 «86 Ed 9:. KS n: - as tum§+ 8 33.9 Sod 3.9 8.”. 883 as - mm mem=8+ ea 28.8 916 GE: and 3 - m— 833,—. mm - c :58 .235 .6 mean. a 38.9 :36 find 86 e - n Xhm wa bung Khmdz mm 23.8 08.9 Rudy m3. 5 - e 883,—. an .355. 49—62 32 zmm “a :82 xmm e :32 A53 23— SEE 3B8. Engage A933 8.58 cognac 08:8 sous—38n— ESEom Ecsfim 8998 3203.5 and :85 we Ewen..— 85385 .898“ “Mm m .5 0:033. .233 3.3.5308 3 08588.8.“ 23 cause 93.5» mmm¢<0 A 035. 30 rr 8 :T Trj I I frj I Y I I 1" rt 1 I I I 1 I 10 7 3 La [Growth] Steady-State} '5 6 L E 0 $0 5 :' 109 § : on a 4 - 10' 9" 3 "r ' ----O-Tolueneefi1uent E3 2 :. J —°--DOCcnsumpticn 7 O : —D—CeflDerBity 10 1 :- 0 h . . . .. .- . . 106 0 10 20 30 40 50 Days after inoculation Figure 3. Observed dissolved oxygen consumption (mg/L), toluene effluent concentration (mg/L), and cell density (cells/g of GAC) rn the TOL. S reactor inoculated with three different bacterial strains. The bioreactor was fed amended fiter-sterilized groundwater for 53 days to allow the establishment and stabilization of the inoculum members. Analysis of specific population types by selective plating dming the lag phase (Figure 4), showed a decrease in the densities of strains G4 and PK01 but growth of strain Pan . During the pseudo steady-state phase strain Pan was the sole recoverable culture. The increase in cell density ofPan corresponded to an increase in D0 uptake, which confirmed that toluene oxidation was occurring. At steady-state, the average DO consumed was 5.70 mg/l and toluene effluent concentration was 0.140 mg]! for a 96% removal efficiency (Table 1). After 35 days, however, new bacterial types appeared on R2A plates, which suggested that groundwater strains may have breached the filter. On day 53, the filtration system was removed from the TOL.S reactor to allow aquifer populations to fieely enter the already colonized GAC. A lower steady-state effluent toluene concentration was noted, declining from 0.140 to 0.063 mg]! (Table 1) after the filter was removed. The DO consumption remained at the previous steady-state level. From these mattue biofilm 31 communities, 12 different toluene-degrading cultures were isolated. Inoculum strain Pan was recovered from a 113-day-old GAC sample by eruichment for p-xylene degradation. 10" T T U T I I I I I I V T U V I U I T T 10‘ +04 ——u .. .PKOl .u... ...POWI CFU/g of GAC lfiLLlllLl 0 5 10 15 20 Days after inoculation Figure 4. Densities of inoculated strains as determined by selective plate counts over time in the TOL.S reactor. CFU, colony forming units. To evaluate the effects of carbon sources on community structure, the toluene selected community (TOL.S reactor) was switched from groundwater amended with toluene to groundwater amended with an equal mixture of BTX compounds (BTX.S reactor, Table 1) at the sameorganic loadingrate. NochangesinthecarbonremovalrateorDOuptake were observed. Although similar bacterial types to those isolated from toluene fed reactors were obtained, changes in isolation frequency of particular types were noted (see Chapter III). WWW - Characterization of bacterial isolates and community composition was performed by restriction fi'agment length patterns of amplified rRNA genes from bacterial or community DNA. Greater than 65% of the cells were lysed as determined by direct fluorescent cell counts. This method yielded approximately 60 ug 32 DNA/g of GAC. The DNA was of high molecular weight (>23.1 kb) and could be digested by restriction endonucleases. Each of the inoculated strains showed a distinct restriction fragment pattern with the amplified rDNA when digested by HpaII (Figure 5, lanes G4, PKOl, and Pan). These three patterns could also be discerned in mixed samples taken after inoculation (Figure 5, Day 0). By day 22 however, DNA isolated from GAC biofilm showed only a Pan-like pattern. This finding is consistent with the results obtained from 5”) 9° \\ ‘9‘ o“ «2‘50 ”‘29 9'9 01d 9'” 0°“ 9°“ 919‘ sf“ 350 - 222 - 126 - Figure 5. Community fingerprint of bioreactor seeded with bacterial strains G4, PKOl, and Pan. The filtration system was removed on Day 53. Shown' rs a HpaII digestion of the amplified 16S rDNA from reference cultures (Lanes G4, PKOl, and Pan), and GAC community (Lanes Day 0, 22, 38, 53, 90, and 112). The sizes of marker DNA fragments (lanes SIZE) (in base pairs) are indicated on the left. selective plating (see Chapter III). Further changes in band pattern profiles can be seen over time, reflecting further changes in community composition. An intermediate band pattern was observed at day 38 before the community profiles remained stable (Figure 5, lanes Day 53, 90, and 112). Interestingly, band patterns similar to those generated from G4 33 and PKOl can be seen at these latertime points. Because ofthe pure culture results (Figure 4), we suspected that they were from different populations that shared restriction sites with G4 and PKOl and successfully made it through the filter barrier. In order to examine whether these strains were present, we used the species-specific oligonucleotide printers for these strains for PCR amplification. Samples from time zero showed amplification products for these species specific primers, but bands for G4 and PKOl were not detected at days 22, 38, 53, 90, or 112, confirming that the inoculated strains were not successful colonizers at these stages. HaeIII Hinfl M391 S B M T B M T B M T S Figure 6. Restriction fragment length polymorphisms of amplified 16S rDNA from S.BTX reactor at day 159. Samples correspond to the 20, 60, and 90% reactor column bed height (lanes B, M, and T, respectively) digested with HaeIII, Him, and MseI. The sizes of marker DNA fragments (lanes S) (in base pairs) are indicated on the left. To determine whether position within the bioreactor treatment column lead to differences in patterns of bacterial composition, samples collected from the bottom (B), middle (M) and top (T) of the GAC bed height were subjected to RFLP analyses (Figure 34 6). Identical RFLP patterns were observed at all of these heights with all of the three endonucleases tested. HaeIII Hian MseI as $95 .9 $5 $99 8 a“? an. 9 NA «0v 9* «0v 6* «0» 95* «OV'gs‘l‘gng‘f‘ gov‘qs‘f‘gai Figure 7. Restriction fragment length polymorphisms of amplified l6S rDNA from mature GAC communities digested with HaeIII, Hinfl, and MseI. The lane designations correspond to the bioreactor treatments (see Materials and Methods). The sizes of marker DNA fragments (lanes SIZE) (in base pairs) are indicated on the left The composition of mature GAC communities in all FBRs was also compared by RFLP analysis (Figure 7). Similar DNA patterns were observed between the seem (T OL.S) and naturally colonized (T OL.NS) toluene fed reactors and between the seeded (BTX.S) and naturally colonized (BTX.NS) BTX fed reactors with each of the three endonucleases. The toluene and BTX fed communities seem to show some differences from each other as particularly noted with the MseI restriction endonuclease digestion in which two signature fragments of approximately 460 and 410 base pairs were more apparent in the two BTX fed reactors. A thorough evaluation of faint bands as well as the 35 comparison by other enzymes, however, showed no band pattern differences between the systems fed the two substrates. Identical RFLP fingerprints were also observed for strains isolated from the two GAC communities (data not shown). Band patterns of these isolates correspond with most of the bands observed in the community fingerprints (Figure 8). $411; «Effie 969‘“ b\ b\ 41’ $0 s) C3” (,0 Ssfiv‘i‘s‘gc ’0’ (LOQM Qcfi C3\O 2,645 - i 1.605 - 11,198 - 676- 517— 350 - 222 - Figure 8. Genomic fingerprints of bacterial isolated from GAC communities. Shown is a MseI digestion of the amplified 168 rDNA. Lanes SIZE show the DNA size markers, indicated (in base pairs) on the left. W315 -- Reactor community composition was also compared by fatty acid methyl ester (FAME) profile analysis (Table 2). The coefficient of variation for most fatty acids was generally below 10% for duplicate analyses. At least 22 fatty acids were identified among the different bioreactor treatments including saturated, unsaturated, and methyl and hydroxyl substituted fatty acids. Fatty acids 16:1 w7c and 18:1 w7c/m9t/(n12t have been reported to be characteristic of the genus Pseudomonar (Haack et al., submitted). {l 36 Table 2. Relative abundance (% of total) of fatty acids of the GAC-FBR communities. Fatty Acidi . . . . . Day 48 Day 98 Day 53 Day 129 S Day 151 Day 22 10:0 0 2.31 0 1.69 0 2.49 10:0 30H 3.28 5.94 2.84 1.64 6.37 7.75 12:0 3.91 21.62 1.59 21.11 4.35 25.07 12:0 20H 0.75 1.61 1.91 0.85 0 5.12 12:0 30H 0.91 1.00 1.42 0.65 1.99 3.99 14:0 2.20 8.24 1.02 9.43 0 7.68 i 15:0 0 1.39 1.24 0 2.55 0 15:0 0 0.53 0 0.69 0 0 14:0 20H 2.45 0.82 5.31 2.93 0 0 16:1 m7c 44.21 28.24 30.37 23.68 47.52 21.34 *i 15:0 20H, 16:1 m7t 0 0 0 0 14.04 8.76 16:0 15.60 11.74 7.12 9.64 17.43 9.85 17:1 «:60 0 0 2.64 0.50 0 0 17.0 CY CLO 0 1.51 0 0 0 2.37 i 16:0 30H 0 0 1.13 0.85 0 0 *18:2 m6,9c, a18:0 0 1.94 0 0.55 0 0 18:1 m9c 0 1.11 0 0 0 0 * 18:1 m7c,(o9t,(o12t 25.66 8.58 41.22 22.63 5.74 5.57 18:0 0 1.49 0 1.85 0 0 *20:4 0 1.24 0 0 0 0 m6,m9,to12,m15c 20:0 1.03 0 2.18 0.69 0 ‘ 0 1 Fatty acids are designated as the number of carbon atoms, number of double bonds and position relative to the aliphatic (or) end of the molecule; prefixes i and a, refer to iso and anteiso branching respectively; CY CLO and OH indicates cyclopropane and hydroxyl substitutions respectively. Data are means of replicate samples. * a group that MIDI-FAME does not reliably separate. 37 SignificmtamountsofbothofflresefauyacidswereobsavedinauFBRsystems. Some fatty acids were detectable in only aparticular treatment, for example, 14:0 20H in toluene fed systems, and i15:0 20H/16:1 m7t in BTX amended reactors. There is also a trend ofa higher percentage of fatty acid 12:0 in older samples regardless of carbon source. Although thisfattyacidcanbefoundatlow levelsinsomePseudomonas species (Haacketal., submitted), it has been generally associated with microeukaryotic organisms (Shaw, 1966). Yeasmwdprmomanswaeobsewedmmeolderandmmematmebiofilmflseeflrapter IV). Table 3. Relative abundance (% of total) of fatty acids from samples collected at the bottom and top of the column bed height level of TOL.S reactor at day 101. Fatty Acidr Bottom m 10:0 30H 2.10 0 2.20 12:0 3.95 2.97 0.48 14:0 2.14 1.98 0.01 14:0 20H 3.83 5.92 2.18 16:1 (070 41.20 35.04 18.97 16:0 11.60 8.36 5.25 17:1 (1)60 1.69 0 1.43 18:1 m7c,m9t,m12t 31.58 41.84 52.63 19:0 CYCLOm80 0 1.54 1.19 20:0 1.92 2.34 0.09 1 For fatty acid description, see Table 2. MIDI-FAME profiles obtained from the bottom 20% and top 80% GAC bed height of the TOL.S reactor system at day 101 (Table 3) shows higher variation (greater than 15%) relative to the mean for fatty acids 16:1 (070 and 18:1 m7c/to9t/012t than between replicate subsarnples (less than 5%). Although the relative abundance of the FAMEs is 38 somewhat different between samples obtained from different positions within the GAC column, the fatty acids present are virtually identical. In addition to providing some information on taxonomic structure, community-level FAMEprofileswereusedtodistinguishedtemporalandtreamrentvariation using multivariate statistics. Principal component (PC) analysis was conducted using percentages fm'eachfattyacidwhichappearedinanyofthecommunities. PCscoresobtainedbya correlationmatrixanalysisarepresentedinfigure 9inthreedimensions,eachaxis correspondingtothefirstthreePCs. ThefirstPCaccountedfor38% ofthevariancewith high scores on fatty acids 10:0, 12:0, and 14:0. Separation into two classes of communities can be observed, old GAC samples (above 0) and relatively young communities composed mainly of bacteria (below 0). TOL.NSO Day 98 -2 _2 Figure 9. Principal components analysis showing temporal variations of FAME profiles for GAC communities. Reactors: toluene or benzene, toluene, and p-xylene fed systems of seeded (T OL.S and BTX.S) or aquifer colonized (TOL.NS and BTX.NS) biofilm communities. Parameters are listed in Table 2. 39 ThesecondPCaccountedfor26%ofthevariancewithhighscoresonfattyacidsi15:0 20H/16:1 «fit and 16:0. Finally, the third PC accounted for 15% of the variation in the data for a total cumulative of 79% with high scores on fatty acid 12:0 20H. DISCUSSION Indicators that reflect changes in phenotype and genotype are important for describing succession, response to disturbances, and dynamics of natural communities. Weexaminedthemicrobial structureandcompositionofGACcommunitiesbyrestriction endonuclease analysis of amplified 16S ribosomal RNA gene fiagments and by community-level FAME analysis. These fingerprinting analysis are simple, rapid and efficient methods to quickly describe bacterial assemblages and interrelationships between co-ocurring populations. While RFLP analyses were used as measurements of similarity among communities and with isolates (Moody and Tyler, 1990; Hook et al., 1991; Adachi et a1, 1993), fatty acid analyses provided us with insights into the taxonomic composition (Federle et al., 1990; Frostegard et al., 1993a, 1993b). The RFLP approach greatly simplifies the characterization ofcommunities over the previous approach obtained analyzing several of individual samples of cloned l6S rRNA libraries (Schmidt et al., 1991), because the information is obtained in one or a few reactions. Disadvantages of our method, compared with analysis of individual cloned samples, are potential bias during the amplification reaction, limitation of resolving power on agarose gels for distribution of complex genotype mixtures in the community, and the information is not quantitative. From a practical point of view, however, the complexity of the community-level pattern can be controlled by the cutting frequency of the restriction endonuclease used (Bickle and Kruger, 1993). This feature allowed us to quickly screen and characterize cultures at different time points as well as to identify not yet isolated cultures. The correlation between fingerprints determined fiom GAC samples and those determined for isolated strains was acceptable. We do recognize , however, that 40 considerablephenotypic diversitycouldstill berepresentedbydifferentorganismsgiving the same bands. To determine the influence ofnon-indigenous populations on community structure, threedifi‘erent toluenedegradingstrainswere seededtoasterilereactorfedtoluene amended, filter-sterilized groundwater. After a prolonged lag phase successful colonization was accomplished by only strain Pan. The growth phase of strain Pan in the filter- sterilized reactor was immediately followed by colonimtion of some groundwater populations which eventually made it through thefiltration system as noted by changes in community fingerprints as well as by isolation of toluene degrading populations that were not in the inoculum. To determine whether Pan was a dominant population after the secondary colonization by native aquifer populations, Southern blots of total cormnunity DNA from the TOL.S reactor samples were hybridizedto thexyIE gene probe which is specific for the tol plasmid encoded pathway (Harayama et al., 1989). No cross hybridization was observed at low stringency (Jizhong and Tiedje, personal communication), suggesting that Pan was below the sensitivity for the hybridization assay and therefore not a dominant member of the mature community structure. Thus, Pan a non-native population that was present as single dominant member after the controlled pioneer colonization phase of the GAC, was quickly outcompeted by the endemic aquifer populations. The presence of strain Pan in a 113-day-old GAC sample nonetheless, demonstrates that an allochthonous population can survive and avoid exclusion from the biofilm community. The DNA fingerprints of the stable biofilm community (TOL.S) and the non-seeded cummunity (TOLNS) converged. In addition, identical bacterial populations were isolated from the preinoculated GAC reactor after colonization by the aquifer populations (TOL.S) and from the TOL.NS systems (see Chapter III) further confirming convergence of populations in both reactor systems. These results suggest little influence of the pioneer colonist as a determinant of community structure. Possible explanations for these 41 observations are the functional equivalency of strain Pan as a primary colonist. and/or independenceovershortandlongtermcommunity structurefrompioneercolonizers. Simepimeerpopubfiomamdkecflyintaacfingwimdnsubsuatummdsimemematme biofilmcolonizablesurfaceiscells, superiorandbetteradaptedspeciescanccmpeteand establish themselves even in GAC-surface limiting conditions. These results contrast with dwseobsavedmmicrobialprimarysuccessionofplanhmicwmmunidesmaquafic microcosmsinwhich therewasdirectional replacernentofspecies anddirecteffectsof changesindwaderofcolmizemondwoumomeofcommunitysmmecCormicket al., 1991). Our results showed that community-level RFLP profiles reached band pattern stability indicating that bacterial genetic stability was achieved and maintained on rnatme colonized GAC communities. Furthermore, the bacterial composition of GAC particles throughout the treatment column appears to be similar as noted by RFLP analysis. SwitchingfromtclueneasthemaincarbonsoureetoBTXatthesameorganicloadingrate however, appears to be an important driving factor in influencing community structtue. Our RFLP analysis shows transition of the toluene selected community (TOL.S) to a BTX structure (BTX.S) similar to that observed in the BTX.NS control reactor thus, demonstrating the flexibility of the biofilm community to quickly adapt to new environmental conditions. The FAME community-level profiles from particles collected at different time points and fiom different sections within the treatment column revealed differences in types and abundance of fatty acids. Since the genomic fingerprints of the microbial community suggested stable bacterial composition on temporal and spatial basis within the bioreactor, changes in abundance of fatty acid appears to be influenced by differences in abundance of the fatty acid-contributing microbial populations and/or physiological status rather than changes in the basic bacterial composition. Generalizations about the distribution of certain fatty acids across microbial taxa have been used for analysis of whole community fatty acid 42 profiles (Federle et al., 1990, Frostegard et al., 1993a, 1993b; Haack et al., submitted). FanyacidsgenaanyassociawdwimpseudomonadsspedeswaefoundmaNndant quantities in the GAC communities. These results are in agreement with preliminary characterizationofsomeofthedominantGAC isolatedstrains (seeChapterIII). Therealso appamdmbeaposidvecmdadmbetwemasignanuefanywidofmiaoeukaryomsand ageofthebiofilm. Thisrelationshipcanbeatuibutedtotheobservedsecondary cdauudonbyyeastandpromwaspecieswhichmquimpfimmymrfwemodificafimsand longerreproductioncycles. Furthermore, theproportionsofthemonoenoic fatty acid 16:1 m7c, which is highly recognized as being primarily associated with prokaryotes (Vestal and White, 1989), decreased in older GAC samples. The RFLP method used is sensitive to only prohryows. Crurent ecological theories are based heavily on the concept of competitive exclusion and the assumption that communities exist at competitive equilibrium (Fredrickson and Stephanopoulos, 1981). Therefore, success or survival is based mainly on the physiological fitness of each competitor in a stable uniform environment. Since competitive equilibrium requires that the rates of change of all competitors be zero, and since the physical environment, predation and other factors are changing constantly, it seems likely that equilibrium rarely occurs in nature (Levin, 1972; Wiens, 1983). In FBRs, biofilm—GAC particles are being continuously exposed to different gradients. Since theoveralldensityofthebiofilmmatrixislessthanthedensityoftheGAC,microbial growth will tend to reduce the overall density of the biofilm-GAC particle. The particles, accordingly slowly migrate up the profile of the FBR as the biofilm continues to grow. Whenexcessbiomassisshearedfromthebiofilm,theparticlesbecomemoredenseand migrate to the lower portion of the bed. The continuous process of growth and biomass loss (e.g., shearing and sloughing of dead cells) produces a situation where the GAC particles slowly migrate up and down the bioreactor treatment column. The net effect is a gradual exposure, on a temporal basis, of each GAC-biofilm complex to changes in 43 substrate concentration. A change in location will represent a mild disturbance or regeneration of a niche which may be advantageous for a given group. Therefore, GAC- biofilmparficleswhichambcalimdmflwbonomofmebioreaauudnbewmpamyfiving ataricherenergyzonecomparedmpardclesatflremiddleormpofdrereactor. The constancy of fluctuation in the physical factors due to biological events will result in a state of non-equilibrium, therefore, competitive equilibrium can never be reached, and coexistence of trophic equivalent species is maintained. In this study we combined community-level fingerprints to describe the relative genetic and physiologic relatedness of biofilm community structure in GAC-FBRs. Using restriction endonuclease analyses of community-level PCR amplified 16S rDNA and analysis of isolates, we found convergence of the populations of the inoculated system and the natural aquifer colonized GAC community. Although all the introduced strains were outcompeted by the indigenous populations, survival of strain Pan at low density demonstrates how biofilm systems can serve as refuges for allochthonous populations. Useful indices can be obtained to distinguish communities and to characterize their responses to environmental perturbations. It seems certain that by complementation with other recently developed techniques such as in situ whole cell hybridization using fluorescent targeted hybridization probes (DeLong et al., 1989; Amman et al., 1992) and confocal microscopy (Caldwell et al., 1992) better estimates of physiological states, species interactions, phylogenetic relationships and spatial cell distribution at various levels of development will be possible. Understanding of microbial interactions in biofilm communities are needed to improve biorernediation techniques and to better assess influences of introduced non-native populations on community structure and performance. Chapter III ISOLATION AND CHARACTERIZATION OF BENZENE, TOLUENE, AND P- XYLENE DEGRADERS FROM AEROBIC BIOFILMS IN GRANULAR ACTIVATED CARBON FLUIDIZED BED REACTORS BACKGROUND Biological activated carbon fluidized bed reactors (FBR) have been used for remediation treatmentofgroundwawrcontaminatedwith monoaromatic hydrocarbons (Hickey et al., 1991; Voice et al., 1994). This cleanup approach relies primarily on biologically mediated transformation of the contaminants. Bacterial populations will colonize the surfaces of granular activated carbon (GAC) particles resulting in the formation of a complex microbial layer or biofilm communities. The use of microorganisms for bioreclamation hasrecentlybecornethefocusofattention becauseoftheirabilityfor restoring such sites at considerable cost savings compared to technologies such as chemical adsorption or incineration (Kobayashi and Rittmann, 1982). Although the indigenous microbial p0pulations may be adapted to the existing site conditions, reliance on their catabolic potential to transform a wide range of pollutants may be inadequate. For example, the optimum strains capable of quick degradation at high or at low substrate concentrations may be absent. Inoculation of contaminated sites or treatment systems with pollutant-degrading strains may be an alternative in sites where environmental conditions may not be suitable for growth, and groundwater extraction and treatment is required to prevent migration of the contaminant plume. The objectives of this study were to isolate and characterize BTX-degrading bacteria from mature biofilms to assess the inherent substrate utilization kinetics diversity and the phylogenetic affinities among these naturally occurring populations and introduced populations in GAC-FBRs operated under aerobic conditions. WK) - A description of the different GAC-FBRs used in this study is presented in Table 1. In general, bioreactcrs consisted of l-L sterile glass columns (2.54 cm diameter x 195 cm long), operated as a one-pass upflow systems without recycle at a flow rate of 0.2 Umin. Groundwater fiom a deep aquifer underlying the MSU campus was amended with toluene or a mixture ofbenzene, toluene and p-xylene (BTX 1:1:1) at a organic loading rate of 5.4 kg COD/m3day. The selection strategy employed for isolation of BTX degrading populations from GAC particles included direct bacterial isolation of homogenized GAC-biofilm samples by plating on non selective medium. The bacteria were first dispersed and separated from the GAC particles (~0.2 g wet) by repetitive vortexing (3 times for 45 seconds) in 1 ml of cell extraction buffer. This contained 0.001 M EGTA (ethylene glycol-tetraacetate [Sigma St. Louis, MO]), 0.0014 M Tween 20 (Sigma, St. Louis, MO), 0.01% (wt/vol) peptone and 0.007% (wt/vol) yeast extract in phosphate buffer (Warren et al., 1992). Bacteria were isolated by diluting biofilm homogenized samples on R2A media plates for oligotrophic bacteria (Difco, Detroit, MI). Plates were prepared in duplicate, maintained at room temperature (about 24°C) in sealed plastic bags, and examined at intervals for colony formation. Table l. Start-up conditions of fluidized bed reactors used in this study. Reactor Inoculum som'ccl Iengmmpmadm Carbon sources desigpation (days) TOL.S G4, PKOl, Pan and 0 - 124 toluene aquifer populations TOL.N S aquifer populations 0 - 98 toluene BTX.NS aquifer populations 0 - 25 BTX2 1 G4, Pseudomonas cepacr'a (Folsom et al., 1990); PKOl, P. pickettii (Kaphammer et al., 1991); Pan, P. putida (Harayama et al., 1989). 2 BTX; benzene, toluene, and p-xylene. 46 In addition, parallel liquid enrichments in Teflon coated serum bottles containing amendedbenzene, toluene, orp-xylenein basal saltmedia (BSM) underaerobic conditions were used, followed by a secondary transfer and plating onto R2A plates. The BSM consisted of 15 mM NH4€1, 5.98 mM K2HPO4, 5.51 mM KH2PO4, 0.23 mM CaClz, 0.81 mM MgSO4-7H20, 1.71 mM NaCl with a mixture of trace metals (3.0 M) composed of (g/L): EDTA, 5.0; Zn+, 0.5; Mn”, 0.14; Fe“, 0.1; CO”, 0.04; Cu“, 0.04; Mo, 0.06; adjusted to pH 6.0 in destilled water (Owens and Keddie, 1969). The final pH ofthemediawas7.1. Themedium(75ml)wasaddedtoserumbottles,sealedwith Teflon-coated butyl rubber stoppers and aluminum crimps. Toluene was added with microliter syringes to the sterilized medium (50 mg/L final), then aseptically inoculated with two to three GAC-biofilm coated particles fiom each reactor system and incubated in an orbital shaker at 25°C. Bacterialcolmuesobminedfiomdirectorindirectisoladonpromcolswere screened for differences in colony morphology, size, and pigmentation and were then purified by repetitive plating (at least three times) and production of discrete, isolated colonies on solid medium. WW - We used repetitive exmscnic palindromic (REP) sequences and the polymerase chain reaction (PCR) to fingerprint bacterial genomes. REP oligonucleotides produced clearly reproducible and resolvable DNA bands by agarose gel electrophoresis following PCR amplification (de Bruijn, 1992). These DNA band patterns generate fingerprints for typing of bacterial cultures. REP-PCR amplification was performed essentially as described previously by Versalovic et al. (1991). The DNA sequence of the REP primers are: 5' - IIIICGICGICATCIGGC - 3', primer REPlR-I, and 5' - ICGICI'I‘ATCIGGCCTAC - 3', primer REP2-I. Template DNA (50 ng) was used per reaction in a 2541] volume containing 50 pmol each of two opposing primers, 1.25 mM deoxynucleosides triphosphate, and 2 U of AmpliTaq DNA polymerase (Perkin-Elmer Cetus, Norwalk, CT). The amplifications were performed with an automated 47 dramflcycler(mcdel96mPakin-ElmaCemaNorwdkCDwidlanuudaldemnuafion [95°C, 6 min], followed by 30 cycles of denaturation [94°C, 1 min], annealing [40°C, 1 min], and extension [65°C, 8 min], and a single final extension [65°C, 16 min]. After amplification, IOuJoftheREPproductswereseparatedon 1% (w/V)agamscgelcontaining 1X TAE (40 mM Tris-HCl, pH 7.5, 5 mM sodium acetate, 1 mM EDTA [disodium ethylenediaminetetraacetateD, stained in 0.5 [lg/ml ethidium bromide solution, and then photographed in UV light with Polaroid Type 55 film. «a -Axenicculturesweretestedfor theirabilitytoutilizevariousmonoaromatichydrocarbonsasthe solecarbonandenergy sourceinaerobic liquidmedia. Freshbacterialcolonies grownonRZAplateswere resuspended and washed in BSM, and transfer to 10-ml sterile vials containing 5 ml of BSM with 10 mg of toluene, benzene, or p-xylene per liter (final concentration) in triplicate sets. The inoculated vials were sealed with Teflon-coated septa, and aluminum crimp sealed, and incubated stationary for 2 weeks at 25°C. Substrate removal analysis was performed using a gas chromatograph equipped with a flame ionization detector (GCIFID), a DB-624 capillary column (J&W Scientific, Folson, CA) and a head space sampler. The vialswereequilibratedat40°C, thecolumnat90°Candtheinjectoranddetectorat200°C Helium was the carrier gas. Positive results were interpreted when more than 80% removal relative to the control was observed. biofilm populations were further characterized based on their ability to utilize toluene. Duplicate sets of exponentially growing cultures in BSM containing 50 mg of toluene per liter were used to determine maximum growth rates by optical density measurements (ODsso). Further, the Monod growth kinetic parameters, half-velocity coefficient (K5) and maximum specific rate of substrate utilization (k), were estimated by fitting progress curve data to the integrated Monod equation, using a non-linear analysis. Both kinetic parameters were calculated from a single substrate depletion curve as a function oftime (t). There is a 43 directrelationshipin theMonod equation (equation 1), betweenthenumberofcatalytic units (biomass, X) and the rate of substrate utilization (dS/dt): dS kXS dt Ks+S (equation 1) If biomass is constant, the Monod equation can be simplified to the integrated form for parameter estimation by non-linear regression: K: S 1 . k So k (S So) (eq on ) Ks SO 1 ln—+— - X]: 5 x1550 S) t: Exponentially growing cells in BSM with toluene as sole carbon source (50 mg/L final) were used for the kinetic assays. A cell suspension of axenic harvested cultures (approximately 1010 cells/L) was transferred to fresh preoxygenated media with 3 mg/L toluene (final concentration) and immediately drawn into a 50-ml gastight syringe containing a small magnetic stir bar. The biomass concentration was determined empirically for each culture (high enough not to increase significantly with the amount of substrate added and low enough to allow collection of samples at reasonable time intervals). All assays were performed at room temperature (24 to 25°C). Samples of 1 ml were collected in 10-ml sterile vials every 5 to 15 min and fixed with approximately 0.05 ml of 7N HCl, sealed with Teflon-coated septa, aluminum crimp sealed and stored at 4°C until head space analysis was performed (generally within a week). Cell numbers were determined before and after the assay by direct plating on R2A medium. No significant increased in the cell number was observed. Three of the cultures were independently assayed twice; the obtained results for k and K5 fell within the 95% confidence interval. ribosomal RNA gene was amplified from genomic DNA using the polymerase chain reaction andclonedintoaplasmidvectorasdesaibedpreviously (Zhouet al., unpublished). The 168 rRNA gene was sequenced from both directions using an automated fluorescent sequencer with the forward and reverse primers, which span Escherichia coli 168 rRNA gene positions of 785 to 805 and 1115 to 1100, respectively. The DNA sequences were analyzed using the programs in Genetics Computer Group software package (Deveraux et al., 1984) and in PHYLIP phylogeny inference package (Felsenstein, 1989). RESULTS MW - To isolate numerically dominant bacteria from GAC-biofilm communities in fluidized bed reactor systems, the end point dilution scheme was carried out using separated and dispersed biofilm bacteria from GAC particles and plated on R2A solid media. Aerobic heterouophs were observed at a concentration of 109-1010 CFU/g of GAC. Bacterial populations fi'om dispersed biofilms were highly recoverable on R2A medium as noted by a high plating efficiency as compared to total direct counts 00-45% plate counts/direct counts). Successful enrichments for aerobic BTX degraders were routinely obtained within 24 h fiom GAC-bacterial coated particlesasdeterminedbyincreasedcultme turbidity andsubstratedisappearance (higher than 95% of total added substrate). Isolates were subcultured three additional times to ensure culture purity. Several clones were retrieved that were able to grow aerobically on at least one ofthe BTX compounds as sole source ofcarbon and energy. Isolates GF161, GF261, GF262, and GF281 were numerically dominant among all the reactor treatments constitutingmorethan90%ofthetotal biomassatfluctuatingratiosonatempcral and spatial basis. Five of one hundred twenty recovered isolates from the different reactor systems failed to transform any of the BTX substrates in batch culture conditions. 50 W—Pmifiedbactaialcbneswerefmdrachmactefizedbydw REP-Pal fingerprinting technique. The REP-PCR analysis revealed distinct DNA band panermwhichdeadyaidedindeidendficafimmddifimdadonatahighlevelof resolutionofdiva'sebacterialstrainsmgure 1). PCRwiththeREPprimersetand chromosomal template DNA fiom the difi'erent cultures yielded multiple distinct DNA productsofsizesrangingfromapproximately300to6,000basepairs. Thepatterns generated were found to be very different for several strains examined from the same system. However, similar amplified genomic band patterns were observed among dominant isolates recovered fiom seeded (TOL.S) and non-seeded (TOL.NS and BTX.NS) reactor treatments fed toluene or BTX compounds (e.g., Figure 1, lanes GF1T2 and GF2T3). This result is consistent with those results obtained by community-level fingerprints in which convergence of seeded and non-seeded communities were observed. Thus, 12 bacterial clones were identified that differed from one another in REP fingerprints, and in other morphological and physiological properties. Only isolate GFZXUhadabandpattemprofile similartoseededstrainPan. Thisclonewas recovered from a secondary transfer of a p-xylene enrichment culture from a 113-day-old GAC sample of the seeded toluene fed reactor system. Furthermore, clone GFZXU has the same aromatic substrate range, similar distribution of contributing cellular fatty acids, and a large plasmid of the same size of strain Pan (Massol-Deya et al., unpublished). From the 12 different GAC isolates, seven were selected for more intensive investigation in addition to the three pseudomonads strains used to seed the sterile GAC-FBR. We: -- The maximum substrate degradation rate (k) and half velocity coefficient (Ks) for toluene utilization were determined by measuring toluene disappearance rates of 5 mg of toluene per liter. The patterns of toluene utilization by the different degrading populations were S~shaped and the data were analyzed by using regression fits to the integrated form of the Monod equation (equation 2). Description and comparison of the kinetic coefficients for toluene utilization by the inoculated strains and 51 aquifer indigenous GAC colonizers are presented in Table 2. The apparent values for k ranged fiom 0.061 to 2.061 mg toluene/1010 cells-h for strains G4 and GF272 respectively. Observed K, values ranged from a low of 0.074 mg/L for strain GF161 to a high observed value of 1.701 mg/L toluene for strain GF272. In general, all GAC isolated strains examined showed a lower Kg and/or higher k values than the seeded populations. Although strain GF272 has a relatively high K; constant, as compared to the rest of the toluene degrading populations, it also has the highest substrate utilimtion rate constant. Themajorityoftheisolatesshowedthecatabolic abilitytoutilizemorethanoneofthe monoaromatic compounds tested. Estimates of pm as determined by turbidity measurements on toluene ranged from 0.10 h‘1 (doubling time T4 = 6.9 h) to 0.52 h'1 (Ta = 0.93 h) (Table 2). nucleotide bases, corresponding to E. coli 16S rRNA gene sequence positions of 810 to 1090, were determined for each of the three dominant GAC isolates. Similarity and evolutionary distance matrix analysis suggest closed affiliation to three subclasses of the Proteobacten'a, strain GF261 to the beta subgroup bacteria Comomonas testosterom' with an actual similarity coefficient of 0.929, strain GF262 to the gamma subgroup bacteria Pseudomonas putida with similarity of 0.989, and strain GF281 to the alpha subgroup bacteria Zymomonas mobilr's with actual similarity of 0.897. A phylogenetic tree constructed using neighbor-joining distance method shows this three-way relationship (Figure 2). Very similar tree topologies were also obtained using maximum parsimony and maximum likelihood methods (data not shown). 52 «C A? {23* b\ \ o. \*l~\/\"r “3'0 Vi“;c3"\c3?“soci'tqslé’tfiflcft\cfi\Csd"C>"¢chs‘imc‘t ’0“ c8 ‘1‘ . OQ’LC)Q VC)‘. as (100981 <8 "3469;1’\ \ i \ \Q‘Qol a Figure 1. REP fingerprint patterns of bacterial isolates from GAC-biofilm communities. DNA molecular weight standards (lanes MW) are UHindIII, pUCl9/I‘aq-I- pUCl9/Sau3AI (Stratagene, La Jolla, CA). The pattern of PCR products generated of chromosomal DNA from inoculum strains PKOl and Pan as well as a positive control (P. aeruginosa) are included. 53 .etugaei 05 .«c mégfia dam—«5 «8539. <2”— ?88et m9 398 co 38m u 80:? E2— .x 8:029 .H 8588 .m _ - - - ~89 33 ._. .m an a=§§< E0 wnmd amNdv cad Anmedv awfifi 36.8 and X .H in... hangout gray an." 38.3 ab." £653 SON 8:: and H. .m dam §§ouk Nan—U anN Ammcdv wacd Aouodv 8N6 . X .H. .m Ngmmgfiam 6 59—0 25.2 38.8 awed Anwmdv man; 399 mud X .H .m «conceals» r NeNn—O :9“. 83.8 wood 88.8 and 398 26 K .h. .m Neonatal—a a 380 awed €2.an #56 33.9 256 ASA: mmd X .H .m dun flight gammy mace 33.8 wad awndv and 899 cvd X F GER—EN ~3~m hde 82.8 had Cmcdv weed Amcdv 2.6 .H .m .8593 .K :5: ozd 32.9 09.6 Smodv ~86 €de mud .H .m 3.88 .k #0 3.8 Be 5m: some UV 25: Se zetm.» meme—c 33- 3:8. 95 Ash—.38 22:8. 95 9...: ~88 1 883.6 Seam—809 859.— uur H 3:8 «89.0 .5588 as mean... 8:385 no asoceooo one: are.» 83.9 co eaeaaoo as 88.53 .n 23. “i, !' u; .' . ‘- 1 .)‘\'. .-r.' I '1‘: s. 54 Alcaligenes entrophus I I EPseudomonas cepacia P. cepacia strain G4 I I GF261 Comomonas testosterom' P. aeruginosa strain NIH 18 P. mendocina P. putida strain Fl GF262 P. putida strain 1’an Erythrobacter longus strain OCh 101 l—Zymomonas mobilis subsp. mobilis L—Z. mobilis subsp. pomaceae GF281 Rhodospirillum rubmm strain ATH 1.1.1 P. diminuta Bacillus subtilis 0.05 Figure 2. Phylogenetic distance tree produced from partial 16S rRNA sequences (810-1090 positions). Representative members of the various subgroups of the Proreobacten'a and the dominant toluene degrading bacterial populations from GAC biofilm communities are shown. 168 rRNA sequence of Bacillus subtilis was used as an outgroup. 55 DISCUSSION DegradativebicfilmsinFBRsareccmplexccmmunitiescomposedcfanumberof coexisting bacterial species. Twelve different toluene degrading populations were recoveredfromthesereactorsystems. 'I‘hesamestrainswerealsoisolatedfromthereactor seededwiththreePseudomonas spp. andfromtheBTX groundwaterfedreactor. These results complement the previous observation of community convergence of the different reactor treatments as determined by community-level fingerprints and fatty acid methyl ester analysis (see Chapter II). The successful use of microorganisms for biorernediation purposes requires the selection of populations able to effectively degrade environmental pollutants over a wide range of concentrations. The integrated Monod equation in conjunction with nonlinear mgressionpmcedmeshasbeenpreviouslyusedmobtainesfimamsofkdesfmpme cultrrres of organisms (Counotte and Prins, 1979; Greer et al., 1992; Robinson, 1985; Robinson and Tiedje, 1983; Simkins and Alexander, 1984). This technique has several advantages over estimation parameters from chemostat data, in that it is considerably faster since estimates can be derived from a single depletion curve, and volatile and low water soluble compounds can be feasible tested. Our data suggest that, in fluidized bed reactors, a kinetic diversity for toluene utilization exists among naturally coexisting microbial populations in GAC-biofilm communities. The lt/Ks ratio, which is the slope of the Monod equation at lowest substrate concentration, offers a simple way of emphasizing both half- saturation value and maximum rates (Healey, 1980). This ratio increases as It increases and K. decreases, thus a higher ratio indicates a higher rate at lowest nutrient concentrations, and therefore competitive advantage in the process and conditions being considered as competition drives nutrient concentrations down. Despite the selective opportunity of the introduced populations to colonized the GAC particles, they all were outcompeted by the indigenous aquifer populations. The dominant aquifer populations 56 examinedtodateshowed betterratiosofk/thhantheintroduced strains. However, 1’an whichwasflnmflyinuodwedpoptfladonmmssfunyrunainmdresystem(uaminm membercfthematureccmmunity), hasarelatively highk/K.ratio. Thisresultsalso mggestMendanicpcpuhdmsambeuaadapwdwthebcalenvirmmamlcondidms and thus, competitively superior than the introduced populations. Maintenance of funcdonaflyredundantspeciesindwbiofilmwmmmfityappemmbefavaedbyboth biological and physical factors. The known development of substrate gradients through the treatmentcolumnandbiofilmmatrixappearsto sustaintheestablishmentandcoexistenceof kinetically diverse bacterial populations, possibly by niche partitioning. Partial 16S rRNA sequences weredeterrnined foreachofthe threedorninant toluene degrading strains with the aim of establishing phylogenetic affinities of the biofilm community. The full sequence of this gene is not necessary for phylogenetic assignment and it has been shown previously that phylogenetic trees constructed by using different and limitedportionsofthe168rRNAsequencearethesameasthosegeneratedbyusingfull sequences (Lane et al., 1985; Schmidt et al., 1991). We focused on a portion of the 168 rRNA gene that corresponds to nucleotides 810 to 1090 in the E. coli rRNA which contains substantial sequence variability in conserved secondary structure for rapid sequence comparisons. The rDNA sequences examined were affiliated with or closely related to three groups of the Protcobacterr'a, the alpha, beta and gamma subdivisions. Members of the beta and gamma subdivision such as many Pseudomonas spp. are common aerobic toluene degraders (Zhou et al., unpublished). The alpha subdivision of Proteobacten'a however, contains many genera of oligotrophic bacteria including Caulobactcr and Hwhomicrobiwn but none of them have been previously described to grow aerobically on aromatic hydrocarbons such as BTX. Thus, strain GF281 appears to be a phylogenetically novel BTX degrading population. Five pathways have been described for the metabolism of toluene by oxygen- dependent reactions (Van der Meer et at., 1992; Zylstra and Gibson, 1991). Nucleic acid 57 probes for the first steps of all five aerobic degradation pathways were used in Dot blot hybridization assaystodetermineifanygenehcrnologyexistbetweentheGACisolates and the known pathways. None of the GAC cultures tested to date however, showed any hybridization signal even though low stringency conditions were used (Marcos and Tiedje, pascaal communication). These results suggests that more diversity exist at the gene sequence of toluene oxidation pathways than what is currently known. In addition, GAC isolate GF262aPscudomonaspua'da strain asdeterminedbyphysiological andpartial 16$ ribosomal RNA gene sequence analysis, appears to differs from those previously described pathways in P. pua'da strain PpFl (meta ring cleavage) (Zylstra and Gibson, 1989) or strain Pan (methyl group oxidation tol plasmid encoded pathway) (Harayama et al., 1989). In the present study we have shown the diversity of multiple toluene degrading populations in aerobic biofilms of fluidized bed reactors. The observed coexistence of these populations in such communities can be attributed to their growth kinetic diversity and to the presence of substrate gradients through the treatment column and biofilm rmtrix. It is certainly possible to complement the information obtained from the phylogenetic analysis of axenic cultures with community-level analysis by selecting molecular based probes for the different subclasses of the Proteobacten'a (Manz et al., 1992) with in situ whole cell hybridization (Amann et al., 1990) and confocal microscopy (Caldwell et al., 1992) to specifically follow, enumerate and study the distribution of these different populations in the biofilm community. In order to address such important questions however, non-destructive fixation and hybridization procedures must first be developed for biofilm studies. Chapter IV CHANNEL STRUCTURES IN AEROBIC BIOFILMS FROM FIXED-FILM REACTORS TREATING CONTAMINATED GROUNDWATER BACKGROUND The contamination of groundwater resources with aromatic and alkyl substituted aromatic hydrocarbonshasbecomeaseriousthreattohumanhealthmr, 1985). Leakage fiomundergroundgasolineandpeuoleumstcragetanksmnddisu'ibution systemsrepresent a major source of this pollution. Pump and treat remediation techniques have often been implemented to control contaminate plumes (Hickey et al., 1991; Voice et al., 1994). Fixed-film biological systems developed on porous media have recently been employed for thetreatmentphase. Eitherthrough attachmengcragglomeration, bacteriamayremainin place within the porous medium forming biofilm communities. The granular activated carbon-fluidized bed reactor (GAC-FBR) couples the absorptive and high surface area per unit volume properties of activated carbon with biological treatment to obtain robust high- capacity treatment (Ehrdardt and Rehm, 1989, Speitel et al., 1989; Hickey et al., 1991; Voice et al., 1994). Under optimum conditions greater than 99% of the total applied organic load can be removed using 5 to 10 min hydraulic retention times. Past structural studies of aerobic biofilms by using traditional light microscopy, transmission and scanning electron microscopy, show randomly distributed cells. This has led to process models which assume generally homogenous biofilms (W illiarnson and McCarty, 1976; Criddle et al., 1991). Bacterial cells living in a dense multilayer matrix however, face the problem of limited transport of substrate and nutrients into the film inner layers as well as export of waste products out of these deep regions. The use of microsensor technology has shown the existence of steep oxygen gradients within aerobic biofilms, thus demonstrating the importance of diffusion processes in biofilm systems (Dalsgaard and Revsbech, 1992; Kiihl and Jargensen, 1992; Ramsing et al., 1993). 58 59 Temporal and spatial stability of biofilm communities against disturbances or lethal factors have been demonstrated (Blenkinsopp et al., 1992; Brown and Gauthier, 1993). The resilience of such systems to environmental changes has been largely attributed to the interdependency of the community members for nutrient exchange, and to the creation and maintenance of microenvironmental conditions which can be completely different from the adjacent liquid phase (Brown et al., 1988; Criddle et al., 1991). Withtheuseofconfocal scanninglasermicroscopy(CSLM),detailedexamination ofmicrobial biofilms in nondestructive states has begun. Advantages ofCSLM to study biofilm structures were described by Caldwell et al. (1992). Careful examination by CSLM ofhbomwrybiofilmshasmvededmepresenceofspedficceudisuibufimpauansand large inter-ml void spaces (Lawrence et al., 1991; Wolfaardt et al., 1994). In view of these findings and the importance of efficient fixed-film processes, we investigated whether there wa'e any structural traits in biofilms that might be important to biofilm functions. The specific objectives were to describe structural patterns and properties of newly colonized GAC in a laboratory reactor operated at an organic loading rate typical of full-scale reactors, and to assess whether or not common spatial arrangement and cell distribution strategies exist regardless of carbon sources or microbial composition in commercially operating field one-liter working volume sterile glass column reactor (2.54 cm diameter x 195 cm long) was used in this study. The bioreactor was operated as a one-pass up-flow system without recycle at a flow rate of 0.2 liter per min. Groundwater from a deep aquifer underlying the MSU campus was amended with 32 moles toluene per liter (3 ppm). In addition, the influent was supplemented with pure oxygen (approximately 406 M final concentration), and a nutrient solution (NH4C1 & KHgPO4) to achieve a ratio of 305:] 60 (carbonznitrogen:phosphcrous). About 100 g of sterile GAC (Calgon Filtrasorb 400, Calgon Company, Pittsburgh, PA) was added to the reactor as adsorbent/biomass carrier. The geometric mean diameter was approximately 0.7 mm with an average density of 1.6. Thebedheight was controlledatthedesired level (maximumworking heightof 180cm) by ashockhushhrgpmcedmetoparficlesneardretopofdrebedtommoveexcessbiomass fromtheGAC. TheGAC,nowwithathinnerbiofilmreturnedbygravitytonearthe bottomofthereactcrcolumn (becauseoftheincreaseinparticledensityduetoremovalof most ofthe biomass) while the sheared biomass was carried away in the effluent stream. In addition, we examined field-scale GAC-FBRs currently used for the treatment of groundwater contaminated with complex mixtures of hydrocarbon compounds at different sites in Michigan (Table 1). Samples were collected fiom mature biofilm communities and stored at 4°C (generally less than 24 hours) until analysis was performed. Table 1. Description of GAC-FBRs used in this study. Length of Bioreactor Location] Flow rm Carbon W W?" ” (Umrn) sampling (month) TOL MSU, East Lansing, MI 0.2 Toluene 6 BTEX MBI, Lansing, MI 1.0 Benzene, toluene, 1.5 xylenes, & ethylbenzene TC Traverse City, MI 60 - 80 Gasoline residues 1 PW MBI, Lansing, MI 1 - 2 Complex mixture of 12 aromatic hydrocarbons2 JEN Grand Rapids, MI 80 - 100 Gasoline residues 6 1 MSU, Michigan State University; MBI, Michigan Biotechnology Institute. 2 This waste stream contains 7% salt. Analxticalmedm - Analyses of physicochemical parameters of the toluene fed GAC-FBR were conducted at 2 to 3 day time intervals. Analyses included toluene 61 disappearanceoxygenconsumption,temperature, ande-I. FortoluenedeterminationJml samplesofinfluentandeffluentgroundwaterwerecollectedin 10mlvials. Inordertostop any further biodegradation or loss ofvolatiles, approximately 0.10 ml of6 N HCl was added to each liquid sample. Tubes were sealed with Teflon-coated butyl rubber septa and aluminum crimp seals, and stored at 4°C. Analysis was generally performed within a week. Toluene was analyzed using a Varian 3700 gas chromatograph equipped with an automatic headspace samplerandaflameionizationdetectorm). Samplequantification was performed using external standards. A polarographic electrode (overflow funnel with built- in stirring bar) coupled to an Orion digital pH/millivolt meter (Orion Model 611) was used to measured dissolved oxygen (DO) concentration and pH. Dissolved oxygen consumption is reported as the difference between the influent and effluent readings. WW -- Microbial cells were removed from the activated carbon (~02 g wet) and homogenized by repetitive vortexing (three times for 45 seconds) in 1 ml of cell extraction buffer. The extraction buffer contained 0.001 M EGTA (ethylene glycol- tetraacetate [Sigma]). 0.0004 M Tween 20 (Sigma), 0.01% (w/V) PCPtone and 0.007% (w/V) yeaSt extract in phosphate buffer (Warren et al., 1992). Bacterial numbers from GAC samples were determined by acridine orange (AO) epiflourescence microscopy using the method of Zimmerman et al. (1978). Biofilm homogenates (1 ml), were fixed in 10 ml of Milli Q filter-sterilized H20 with 0.1% (v/v) formaldehyde (final concentration) and then stored at 4°C until processed. A Leitz microscope, equipped with an epifluorescent condenser and a KP 490 blue excitation filter was used for the observation and enumeration of microbial cells. Microbial activityofbiofilmhomogenateswasdeterminedbymeasrmingratesof degradation of toluene. Duplicate samples were incubated in basal salt medium (Owens and Keddie, 1969) containing 109 pmol/L of toluene. The inoculated medium (5 ml) was added to 10 ml vials, sealed with Teflon-coated butyl rubber stoppers and aluminum crimp seals. Samples were incubated at 25°C, fixed at different time intervals with approximately 0.10 62 mlof6NHCLandtlrenheadspaceanalyzedfortoluenedisappearance;subsampleswere amended with 0.1% (v/v) formaldehyde for A0 direct cell counts. WuSamplesforscanningelecuonnnaoscopy (SEM) were fixed with 0.1 M phosphate buffer (pH 7.0) containing 4% glutaraldehyde for 1 h, washed with 0.1M phosphate buffer for 10 min, and then dehydrated through a graded series of ethanol solutions (25, 50, 75, and 100% ethanol). The samples were then critical- point dried and coated with gold. SEM micrographs were taken with a JSM 35C SEM (JEOL, Ltd., Tokyo, Japan). WWW - A Zeiss 210 laser scanning confocal microscope (LSM) (Carl Zeiss Inc., Thornwood, NY) was used in this study. Dark field images,forthepurposeofmeasuring biofilmthickness, wereacquiredinlaserscanning transmitted mode using a Phase 3 condenser with a 10x (non-phase) objective. Tle samples, which were stained with acridine orange (0.(X)5% final concentration) and mounted in 0.1% agarose beds, were examined using the488 line ofadual line argon ion laser with an LP520 barrier filter. The samples consisted of 10 to 15 biofilm—coated GAC pardclesfieslflycouecedatdiffmentdmesfiomdebottommmdrebedheight Images wererecordedon Kodak Tmax 100filmusingaMatrix Multicolorcomputerizedcamera unit (Agfa Matrix, Orangeburg, NY) which received signals directly from the LSM. Windeis - Total fatty acids of mimbial communities were analyzed as previously described using the Microbial ID analytical system (MIDI; Newark, DE) (Sasser, 1990; Haack et al., submitted). Duplicate samples of cells colleced from fresh GAC samples (approximately 0.1 g wet weight) were treated as follows: (i) whole cmnmunity cell preparations were saponified at 100°C with 1 ml methanolic NaOH (15% (w/v) NaOH in 50% (v/v) methanol), (ii) esterification of the fatty acids at 80°C with 2 ml 3.25 N HCl in 46% (v/v) methanol, (iii) extraction of the fatty acid methyl esters (FAME) into 1.25 ml 1:1 (v/v) methyl-ten-butyl ether/hexane, (iv) aqueous 63 wash of the organic extract with 3 ml 1.2 % (w/v) NaOH, and (v) analysis of the washed extract by gas chromatography. Themeancoreenuadonsandstandarddeviafionsaswenasprimipdcomponents analysis for FAME profiles were determined by using SYSTATTM version 5.1 (SYSTAT Inc., Evanston, IL). concentration ofbacterialcellsintheinfluentwaterfedtothetolueneamendedFBR system (POL) was approximately 107 cells/L. These microbial populations were used as a natru'al and continuous inoculum for the colonization of the virgin GAC. The inlet water temperature was approximately 13°C (1 1) throughout the course of the experiment. The pH of the bioreactor influent and effluent was neutral. After an initial 5 to 7 day lag phase, the dissolved oxygen (DO) consumption increased steadily as biomass accumulation began (Figure 1). Steady-state conditions were assumed to have been attained when constant DO consumption occurred; this amount was also commensurate with that required for complete oxidation of the added toluene. These conditions were achieved after 15 days. The average DO consumed was of 129 trmol/L. The effluent toluene concentration was 0.72 pmol/L. A 98% toluene removal efficiency was observed. Several observations suggest that toluene biodegradation commenced once significant colonization of the GAC occurred. (i) Cell density as observed by bed height increased (Figure 1) and direct cell counts (data not shown) increased coincident with oxygen consumption, indicating that growth had occurred. (ii) Microbial populations capable of utilizing toluene as sole carbon and energy source were readily isolated from the colonized GAC. (iii) On average, the specific activity of toluene oxidation by these communities was 9.9 :1: 0.4 pmol/109 cellsd, sufficient to account for total transformation 64 ofaddedsubstrate. TheinitiallagphasewaslikelyduetotolueneadsorptionbytheGAC and the relatively cool temperature. 6 150 és 140 t; 130A 3.4 g D 120.. as 35» g 110% 32 3 > 100 '§ "31 90 o-‘r-‘rn so 0 10 20 30 40 50 60 70 80 Time (days) Figure 1. Biofilm development in the toluene-fed reactor. The bed height reflects overall biofilm thickness (open circles); dissolved oxygen uptake is a measurement of biological activity (black circles). Gray arrows are the times at which the microscopic image shown were taken. Black arrow shows the first time at which biomass was controlled by application of shear forces. Wum surfaceoftheGACparticles was highly irregular (Figure 2). Close examination of the surface revealed the presence of smooth open regions, large rough zones, and open cavities. The latter two provide larger surface areas of sheltered regions and were the regions where microbial growth was initially observed (Figure 3). After 12 days of continuous growth, the GAC surfaces were completely covered with a layer of contiguous bacterial cells embedded within a polymeric matrix (Figure 4). The bacteria present were mainly rod shaped (0.3 to 0.6 by 1 to 3 um) and many ofthem were dividing. At this stage, the film depth reached 20 pm in some 65 areas. Thicker biofilms were particularly difficult to study by SEM because the extracellular structures and bacterial cells collapsed during sample preparation. Figure 2. SEM micrograph of sterile GAC particle showing different surface zones: S, smooth; R, rough; C, cavity. Bar, 5 urn. Figure 3. SEM micrograph of a 3—day—old microcolony mainly growing over rough and within cavity areas of the GAC. Bar, 1 um. Figure 4. SEM micrograph of a 12-day-old colonized granule from the toluene fed reactor. Most of the surface has been colonized with actively dividing rod cells. However, there is smooth zone (arrow) yet to be colonized. Bar, 5 run. it t their rungs. --Forbiofilms greater than 15 pm thick CSLM was preferred to study the development of the biofilm superstructure on GAC particles. The following patterns are derived from observing 30 to 50 images from 10 to 15 granules examined at each of the sampled stages. Initially the entire surface was colonized by a thin film (10 to 20 pm) which exhibited no structural patterns (Figure 5a). However, after the biofilm had grown much thicker (63-days), a mosaic pattern made up of separate lobes of cells was dominant (Figure 5b). At 77 days this lobbed structure was not only maintained but even more pronounced showing that further growth did not obliterate the channels separating the cell communities (Figure 5c). These channels were typically 2 to 25 um wide. Close examination of some of these open spaces revealed that they can extend from the top of the film to deep inner regions to form a 68 channel-like network (Figure 6). This overall biofilm structure was prominent after four to six weeks ofoperation, when biofilm function had stabilized (Figure 1). Secondary colonizers srehasyeastandthereaferpotomasweuasshearingofdeexcessbiomass evennnflyappearsmdismrbdeinEgrityofdreagammmofilmsmenmedescfibed above. TheWzoanfeedingonbactaialcdlsappearedtorecreatevoidspacesthat resulted in conservation of channel-like structures (Figure 7). Biofilms obtained from field GAC-FBRs also shared common organizational structures with the laboratory biofilms. Bacterial density ranged from 109 to 1011 cells/g of GAC in all biofilm communities studied. Mature biofilms exhibited patterns in which internal contiguous cell-free spaces were commonly found in all four reactors studied (Table 1; Figure 8). For example, the biofilm superstructure of the Traverse City (TC) field-scale FBR system exhibited contiguous void spaces opportunistically colonized by cocci shaped cells (Figure 8a). In contrast, the benzene, toluene, ethylbenzene, and xylenes (BTEX) fed system showed a 'coral-reef' like structure, where each finger of the biofilm formed of similarly shaped cells has a particularly well defined boundary and distribution (Figure 8b). Thedimensionsofthesefingersvariesfrom35t02mttmlongby20to40umthick. They all appear to develop from a contiguous base film which completely covers the GAC surface. Biofilm samples examined from two other treatment sites (PW and JEN) also displayed unique spatial cell arrangements and contiguous internal void spaces (Figures 8c- (1). All thick biofrlms appear to have a contiguous (e.g., TOL) or semicontiguous (e.g., TC) base layer, which is recognized by the absence of channels or other void space. In the 30-day-old biofilm sample from the TC site, a discontinuous bacterial base film of 10- to 25-|.rm-deep was observed to cover the substratum from which cell-free spaces and channels appear to develop (Figure 9). Biofilms from the other reactor systems also showed a base film which ranged from 10- to 60-rrm-thick. Figure 5. Series of confocal micrographs showing biofilm formation on GAC particles by indigenous aquifer populations growing on toluene as sole source of carbon. Each extended focus view was constructed by computer overlay of the optical sections in a 2 series. (A) l6—day-old; (B) 63-day-old; and (C) 77-day-old biofilm structure. The biofilm thickness increased from 15 to 300 run between 16 and 77 days as determined by dark field microscopy. 70 02'82. 8775” Figure 6. Confocal micrographs of a 77-day-old biofilm showing the natrrre of the channel structrues in the toluene fed reactor. (A) horizontal (x, y) optical thin section, 82.6 umfromthetopofthebiofilm (the horizontallineindicatestheopticalcuttingposition for the sagittal section); and (B) sagittal (x, 2) view showing the vertical cell distribution and the cell-free channel reaching up to the surface of the film. 71 Figure 7. Confocal micrograph of the void spaces created by protozoa (arrow) grazing on bacteria in a 153-day-old biofilm community. At this point, the bioreactor had gone through three shearing treatments for biomass removal and the biofilm structure displays none of the distinctive vertical cell arrangement pattern observed in the early stage. Bar, 5 um. Figure 8. Horizontal (x, y) optical sections of biofilm communities fiom different field-scale FBRs. Note the spacing between cell aggregates and cell arrangements. (A) TC reactor system, note also differentially packed cell aggregates and channel-like structure partially colonized by cocci-shaped cells. (B) BTEX fed system showing a 'coral-reef appearance of bacterial growth. (C) Biofilm structure of JEN system showing bacterial aggregates separated by well-defined void space boundaries (arrow). (D) Micrograph from the PW system showing bacterial aggregates and partitioning by cell-free spaces. 73 ZrXY-l Figure 9. Horizontal (x, y) optical section (lower half of image) and sagittal (x, 2) optical section (upper half of image) of a 30-day-old field reactor site (TC) showing a fully hydrated biofilm with cell-free scpaces and a discontinuous base film (arrow). Figure 10. Laser scanning dark field photomicrograph of a 77-day-old bacterial GAC coated particle showing variation of the biofilm thickness within the same colonized surface. Bar, 30 um. 75 The vertical dimensions of the different biofilm structures were examined by using laser scanning dark field microscopy. We typically saw a high variation in biofilm thickness even within the same colonized granule (Figure 10), e.g. 30 to 200 um. desebiofilmcomumfieshaddmnhrsmwmrdfeammawemughtmevduaehowsimihr theymightbein microbialcompositionbyFAME analysis. Therelativeabundanceof FAMEsfrom tlediffaentGAC-FBRispresentedinTable 2. A totalofatleast 47 fatty acids, including saturated, unsaturated, and methyl and hydroxyl substituted fatty acids were identified among the samples. The greatest number and diversity of fatty acids were found forthe communities in theFBRtreating [reduction waterbrinesfromanoil producing field heavily contaminated with aromatic hydrocarbons (PW), and from the aquifer contaminated with gasoline residues (TC) at Traverse City. The most abundant fatty acids were 12:0, 14:0, 16:0, and 16:1 aflc at these two sites. By contrast, the community with the least fatty acid diversity was the laboratory system fed only toluene (TOL), with 16:1 aflc, 18:1 m7c/m9c/m12t, and 16:0 as dominant fatty acids. Principal component (PC) analysis of FAME profiles showed that the five GAC communities were different (Figure 11). The first PC accounted for 41%, the second PC for 25%, and the third PC for 14% of the variation in the data, for a cumulative total of 80%. PC scores obtained after analysis of the correlation matrix showed high scoring (higher than 0.90) on fatty acids 13:0, a15:l, 15:0, i16:1, i16:0, 16:1 ar9c, 17:1 08c, 17:0, and 18:1 m9c for PC]; 14:0, i15:0, and 16:1 (05c for PC2; and 10:0, i14:0, and 16:0 for PC3. 76 Table 2. Relativeabmrdance(%oftotal)offauyacidsindiemicrobialcanmunifiesof five different GAC-FBR systems. W Fatty acidl TDL BTEX TC PW JEN 1&0 0 6.30 0.95 1.12 1.88 i11:0 0 0 0 0 1.77 10.0 30H 3.28 7.40 3.40 0.39 3.27 12:0 3.91 43.65 14.20 12.46 25.91 i1 1:0 30H 0 0 0 0 1.68 13:0 0 0 0 0.45 0 12:0 20H 0.75 0 0 0 0 12:0 30H 0.91 1.07 0.14 3.32 0 i14:0 0 2.83 0 0.60 0 14:0 2.20 8.78 6.88 5.96 14.68 i15:1 0 0 1.20 0.42 0 a15:l 0 0 0 0.31 0 i15:0 0 1.93 1.03 1.80 3.44 a15.0 0 1.40 0.16 0.35 0.73 15:1 «Sc 0 0 0 0.41 0 15:1 m6c 0 0 0.23 0.57 0 15:0 0 0 0.34 3.06 0 14:0 20H 2.45 0 0 0 0 i14:0 30H 0 0 0.20 0 0 16:1 aflc alcohol 0 0 0.25 0 0 i16:l 0 0 0 1.40 0 i161) 0 0 0 4.89 0 16:1 m9c 0 0 0 6.33 0 16:1 (07¢ 44.21 18.43 39.87 8.80 11.52 *i 15:0 20H, 16:1 m7t 0 0 4.03 1.49 2.76 16:1 m5c 0 1.65 1.00 0.15 3.41 16:0 15.60 4.61 12.46 9.49 11.70 16.0 10 methyl 0 o 0 4.74 o i15:0 30H 0 0 0.19 0 0 a17:0 0 0 0 0.38 0 17:1 ar8c 0 0 0.37 4.58 0 77 17:1t06c 0 0 0 17.0 crow 0 0 0.14 170 0 0 0.13 117.0 0 0 0.50 17.0 10 methyl 0 0 0.40 17:1m7c 0 0 0 16:0 3011 0 0 0 *18:3 o6c/o9c/o12c 0 0 0.10 1s:1o9c 0 0 1.14 *13:1 m7dor91/0012t 25.66 1.96 7.89 130 0 0 1.15 11703011 0 0 0.22 19:0CYCL0108c 0 0 0 *20:4 o6c/o9c/o12c/n15c 0 o 0.16 200 1.03 0 0 1.46 0 1.14 0.50 3.03 0 0.28 0.47 6.01 1.40 0.82 0.09 0.66 0.61 0 s—a CSOGC 0.98 1.33 2.66 4.93 4.09 0.95 0 0 I Fatty acids are designated as tle number of carbon atoms, number of double bonds and position relative to the aliphatic ((0) end of the molecule. The prefixes, i and a, refer to iso and anteiso branching respectively; CY CLO indicates cyclopropane substitutions; OH indicates hydroxyl substitutions; and other methyl branched fatty acids are designated upon the methyl group position relative to the carboxylic acid. 2 The coefficient of variation for most fatty acids was generally below 10% for replicate analyses. * A group that MIDI-FAME does not reliably separate. Figme 11. Principal components analysis showing variation in FAME patterns in five different GAC-FBR systems: TOL, BTEX, TC, PW, and JEN. DISCUSSION Image analysis is potentially a powerful tool to understand microbial communities at an organizational level, and CSLM and other new methods are beginning to allow this potential to be realized. By using CSLM in this study of petroleum degrading films we found that the classical model of random growth patterns leading to a uniform biofilm structure with active cells at the surface was not supported. In contrast, large interaggregate channels that extend well into the biofilm appear to be maintained for long periods of time. Ifthismodel generallyprovestobetrue, which seems tobethecasein atleastafewother types of biofilms examined (Lawrence et al., 1991; Wolfaardt et al., 1994), then assumptions about uniformity of diffusion within biofilms and where active cells reside should be reevaluated. The high resolution and magnification power of SEM allowed detailed studies of the early events of preemptive surface colonization. However, sample preparation (fixation, dehydration, and embedding) introduces morphological artifacts for multilayer biofilm 79 analysis imposing intrinsic limitations on the film thicknesses which can be precisely studied. CSLM however, allows the study of relatively thick film communities because of itsabilitytoobtainclearoptical sectionsfreeofdefocusinterferencefromunderlyingor overlying materials (Carlsson and Liljeborg, 1989; Carlsson et al., 1989; Caldwell et al., 1992). The spatial relationship of cell arrangements, extracellular polymers, and spaces are, therefore, unaffected. TheGACofthelaboratoryscaleFBRsystemfedgrormdwateramendedwitb toluene was rapidly colonized by the indigenous aquifer populations. SEM analysis showed that colonization initially occumed in sheltered regions, e.g. on rough surfaces and in cavities of the virgin GAC. This pattern of colonization is probably the result of the adsorption properties of the GAC, fluid dynamics, and system geometry. Geesey et al. (1979) have shown differential bacterial colonization in the crevices of suspended detrital material in fast-moving rivers. Planar surfaces of suspended particles in fluidized bed reactorsareexposedtogreatersm'face abrasion generatedby shearforcesandparticle collisions. Eventually, however, continuous microbial growth resulted in contiguous coverage of the entire surface. OreethepardckwasfunycolmizedanddebiofilmgrewfiomZOttmtomum inthickness, wenotedthatalargenumberofverdcalmrdhofizontalchannelspermeateddre film. These channels extended fiom the surfaces into at least one halfthe depth ofthe film. Thesmuctured,moreporousfilmwasbuiltonabasedfilmof10-to75-um. Toseeifthis architectrual feature was the general case, especially outside oflaboratory controlled systems, we examined four field-scale fluidized bed reactors treating petroleum contaminated groundwaters. While the types of structures seen were more varied, the common feature was that channels were permeating the biofilms in all reactors. All GAC-FBR biofilms exhibited distinctive horizontal and vertical arrangements with the following features: (i) complete GAC surface colonization and base films, (ii) irregular film edges, (iii) variable film thickness within the same colonized granule, and (iv) 80 contiguous cell-free spaces. Open channels of variable size connected the outside film surface and bulk solution with the deeper inner layers. This biofilm structure, which increases the biological surface area per unit volume, may facilitate transport of substrates, nuuimteandgasesdeeperintodemanixthanispossibleduetodiffusion alone. Active bactaidcensindeepinnerhyersmayhelpwkeepthebasdfilmfirmlyamachedmde substratum and, therefore, to be more resistant against uncontrolled sloughing of the biofilm causedby shearstressortherapidstreamflowandparticlecollisions. Although tlriswas not as extensively studied, late secondary colonization by yeast, fungi, and protozoa, and mechanical biomasscontrol (tokeepthebiofilmthicknessfiomexceedingacertaindepth) clearly affectedtheintegrityofthesesuuctmesinthebacterialbiofilm Whilewedonot knowtheimpactofthese structuresonbiofilmperformance,wedoknowthatthereactor performance, as measured by oxygen consumption remained constant. It might be argued that this more porous structure is simply a result of random growth, but there are important features that suggest that this is not likely to be the entire explanation. First, the channels are maintained for many weeks, well beyond the time when confluent growth should have obliterated the channels. Secondly, there are a diversity of channel types which appears to be influenced by growth conditions and microbial composition. Finally, the hydraulic stress of these systems will tend to select structures in which the base film can be more active to maintain the GAC-film interaction thus, avoiding destruction of itself. This suggests that some cell—cell communication occurs in these mixed communities to form and maintain this architecture. Community structure would be expected to be influenced by community composition. We used FAME analysis of the community to determine whether the communities of the one laboratory and four field reactors had different composition and wletler some were more closely related. This method has been successfully applied by several groups (Federle et al., 1990; Peltonen et al., 1992; Rajendran et al., 1992; Frostegard et al., 1993; Haack et al., submitted) to examine microbial community 81 composition free of the bias inherent in culture dependent procedures (Wayne et al., 1987). Usingprincipalcomponent analysiswedetermined thateachcommunityhadadistinct composition. TheTOLaaboratory)andTCreactorswerethemo&similar. Thismaybe dueedefactmmdeTOLmaaahaddesimpkstsubsuaefeedand,whflemeTCmacpr hadamorecomplexfeed,itwasinoperationonlyonemonthandmaynothavecompleted itssuccessiontoamorecomplexccmmunity. ReactorPWwastheonly systemthatwas distinguishedbyPCl; thisreactorwastleonlyonewithahigh saltwaste stream (approximately 7% w/v). In spite of the difi'erences in microbial composition among the reactors, the channeled architecture was conserved. Studies on anaerobic fixed-bed reactor community previously revealed integrative networks of channel-like structures throughout the microbial granules which has been interpreted as playing a role in transport of cooperan've substrates, nutrients and gases (Robinson et al., 1984; Macleod et al., 1990; Wu et al., 1991). In the anaerobic food web it is more clear why interspecific interactions between complementary trophic groups may result in a structure that facilitates molecule transport. It is interesting however, that even though aerobic oxidation of hydrocarbons might require few if any interspecific interactions, that microbe-microbe communication and growth coordination seems to play a key role during progressive biofilm establishment. Our CSLM results suggest conservation of common architectrual strategies that appear to be biologically controlled perhaps to deal with diffusion limiting processes and shear stress. This architectural arrangement of a biofilm may represent a more optimal arrangement for influx of substrate, nutrients, and waste transfer, and if me would have important implications on traditional concepural biofilm models in which microbial growth and horizontal and vertical distribution was assumed to be randomly determined. Further testing of this model and understanding of the forces and principles which regulate biofilm development will help in efforts to model, control, and exploit biofilm related processes of industrial, medical, and environmental importance. APPENDIX A APPENDIX A BACTERIAL COMMUNITY FINGERPRINTING OF AMPLIFIED 168 AND 16-238 RIBOSOMAL DNA GENE SEQUENCES AND RESTRICTION ENDONUCLEASE ANALYSIS (ARDRA) The 168 and 238 rRNA genes have been utilized for phylogenetic analysis of both prokaryotes and eucaryotes organisms (Woese, 1987). In addition to direct comparison of the nucleic acid sequences, numerous groups have used the rapid method of polymerase chain reaction (PCR) amplification of this gene (Muyzer et al., 1993) as well as the complete rRNA locus (Jayarao et al., 1991; Vaneechoutte et al., 1992; Jensen et al., 1993) for a simplemethod foridentificationofbacterial generaand species. In these latterprocedures, the amplified DNA (rDNA) is subjected to restriction endonuclease analysis; this has been termed ARDRA (Amplified Ribosomal DNA Restriction Analysis) (V aneechoutte et al.. 1992). The resulting restriction fragment pattern is then used as a fingerprint for the identification of bacterial genomes. This method is used on the principle that the restriction sites on the RNA operon are conserved according to phylogenetic pattems. Although ARDRA has been used for the characterization of bacterial isolates, in theory this method can also be used for analyzing mixed bacterial populations. If the rDNA fingerprint for individual bacteria in a mixture, e.g. community, were sufficiently different, thenonecouldexaminetheamplifiedproductforaseriesofdistinctpatternresultingfrom the different populations tlmt make up the community. Ribosomal DNA fingerprinting of these communities could be used for a quick assessment of genotypic changes, possibly over time or between different locations reflecting different environmental conditions. This method involves the use of a pair of universal priming sequences for the PCR amplification of either the 16S rRNA genetic loci or the intergenic regions of the 16S and 23S rRNA 82 83 genes. The latter regions exhibit a large degree of sequence, length and frequency variation becausethespaceregionisnotwellconserved. IngeneraLARDRAusingthe l6SrRNA geneswfllmsfltmasimplerpauanG-Sbandspagenomewhen4basesiw-specific restriction endonucleases are used) than ARDRA using the 16-238 region. In this case diffaent but related organisms may share common restriction fragments. Some fragments maybeuniqueforaspecifworganismandwouldbediagmsdcforagivengroupof microbes. ARDRAusingtbe l6—23SrDNAregionwillprovideamcrediverse substratefor restriction analysis resulting in morecomplexbandpatternsandpotentially higherresolution ofcommunitymembers. 'I‘hisversionofARDRAmaybeusefulinmoresimple communities which are composed of closely related populations. In highly diverse microbial communities, both of these methods may either yield too complex a pattern or too little resolution of distinct bands. If this is the case, an alternative may be to use group specificprimersforagiven bacterial grouportocarryouttheDNA amplificationunder discriminatory conditions (e.g., increasing stringency conditions during the annealing step of PCR). Further, resolution could also be obtained by hybridization with DNA probes specific for the target groups. Finally, one may be able to dilute DNA samples from communities so that only the more dominant member's genomes are present for ARDRA. The level of resolution (band pattern complexity) is ultimate controlled by the frequency of restriction sites and restriction endonucleases used. This PCR based technique will allows for assessment ofmicrobial structure and composition at the microbial scale. As little as picograms quantities of DNA (1-10 cells) can be used in this method. In turn, changes or responses of the microbial system can be monitored at the genotypic level without drastically disttn'bing the system by sampling. Additionally this method is bias fiee of culture dependent methods, although it can be applicable for characterization of axenic cultures as well as to identify non yet isolated members. 34 EXPERIMENTAL APPROACH A pairofhighly conserved flanking sequences areused forprimerbinding sites to amplify the 16S ribosomal genes from microbial systems (Figure 1). The intragenic PCR product (~1500 bp) is then used as substrate for restriction endonuclease digestion follow by gel electrophoresis. In order to facilitate analysis and the resolution (ability to distinguish twodifi‘uentpopmadms)ofdreassayafiathePCRamphficadm,maedmnmesepamte restrictionenzymedigestionshouldbeused. SincecommunityamplifieerNAisan indirect indicator of the diversity of sequences, sensitivity is maximized (ability to avoid false negative) by concentrating the amplified rDNA or digested rDNA product before electrophoresis. For the l6-23S rDNA intergenic region, amplification is carried out by using a pair of opposite highly conserved 16S and 23S ribosomal primers (Figure 1) followed by restriction enzyme digestion and gel electrophoresis. 168 238 SS pA pHr i : p2 SR 1 pH . I spacerregrons '7 Figure 1. General schematic representation of the ribosomal RNA operon showing approximate localization of priming binding sites for PCR amplification. The spacer region varies in length (e.g., number of tRNA's), and sequences among the different operons within a single organism (Brosius et al., 1981). Primer Position Sequence (5' - 3') (Ulrike et al., 1989) Designation (E.coli 168 rRNA) pA 49-68 AGA G'I'I‘ 'I‘GA TCC TGG CI‘C AG pH 1541-1518 AAG GAG GTG ATC CAGCCGCA Primer Position Sequence (5' — 3') Designation (Ecoli 16-238 rRNA) pHr (reverse) 1518-1541 TGC GGC TGG ATC ACC TCC 'I'I‘ p238R01 1069- 1052 GGC TGC TI‘C TAA GCC AAC PROCEDURES WW - For mixed microbial systems. it is important “3 maximize cell lysis before amplification since lysis efficiency is unequal for different bacterial types and physiological stages. Direct lysis using repetitive (5X) freeze (dry ice- ethanol bath) and thaw (80°C water bath) cycles of the bacterial cells suspension can be used for PCR. As an alternative, the use of community DNA (Maniatis et al., 1982) as template for the reaction is suggested. This will ensure a more representative, reproducible and controllable method to successfully carry out the amplification step. 1. Prepare Master solution containing: ddH20 86.5 in 10X PCR Buffer 10.0 [11 lOOX dNTP's 1.0 ul lOOX primer x 1.0 ul 100x primer y 1.0 ul Taq DNA polymerase (5 U/ttl) 0.5 ul 2. Add 1 pl (approximately 100 ng) of bacterial or community DNA, or cell suspension (approximately 10 to 104 cells). Total reaction volume is 100 rd. 3. Amplification with the following temperature profile: Temperature Time Denature 92°C 2 min, 10 sec Melt 92°C Anneal 48°C Extend 72°C Final extend 72°C Soak 4°C 86 l min, 10 sec 30 sec (30-35 cycles) 2min10sec 6min lOsec hold 4. After amplification, 5 to 10 pl is electrophoresed on 0.7% agarose gel made in TAE buffer to examine the amplified products (Figure 2). A 1 ,500 B ABCDEF ABCDEF Figure 2. Products of PCR amplification from microbial communities samples. (A) The 16S rDNA amplification yielded a 1,500 bp fragment from axenic culture (lane B) as well as bioreactor samples (lanes C to F). (B) Results of 16-238 rDNA intergenic amplification of the same samples yielded various fragments of different sizes. Phage lambda (1) DNA digested with PstI was used as marker (lanes A), indicated (in base pairs) on the left. 87 Notes; In. Maintain all solution on ice. lb. Reagents shouldbeaddedinthatorder. 1c. For n number ofreactions, each solution volume has to be multiplied by n, and aliquot it in 1: PCR vials. Always include a non-DNA control (e.g., water). 1d. Primersx&yarepA&pror16S rDNA amplificationorpHr&p23SR01 for 16- 238 rDNA amplification. 1e. Taq DNA polymerase from different sources may behave differently because of different formulations, assay conditions, or unit definitions. 2. When cells are used as templates, they can be pre-treat (e.g., freeze & thaw) directly in the PCR vials containing 86.5 ul of ddeO with the PCR buffer. The master solution of nucleotides, primers and polymerase are then added before amplification. 3a. Optirml cycle temperatures may vary within different thermal cycler models. Given set ofwmpaannesmddmeswaedaarmnedempiricaflyfmdeakinElmadramalcycler model 9600. 3b. When cells are used as templates, melting steps should be performed at 94°C for 3 minutes. In addition, annealing should be done at 52°C. 3c. When DNA is used as template, 48°C provides low stringent annealing conditions, but discriminatory enough to avoid non specific amplification. Solutions; - 10X PCR buffer - 500 mM KCl - 100 mM Tris-HCl, pH 8.3 - 15 mM MgC12 - 100x dNTP's solution - 25 mM of each nucleotide (ATP, 11?, CTP, and GTP) 88 -Primers — 100 W stock solution in TE buffer (10 mM Tris, 0.1 mM EDTA, pH 8) - AmpliTaq DNA polymerase - 5 Units/tr! (Perkin-Elmer Cetus, Norwalk, CT) - 1x TAB electrophoresis buffer (pH 7.5) - 40 mM Tris-HCl - 5 mM sodium acetate - 1 mM EDTA (disodium ethylenediaminetetraacetate) - ems-u.» r ouvm‘ -- Digestion ofthe amplified rDNA product with tandem tetrameric site-specific restriction endonucleases (e. g., HaelII, Msel, Him, Sau3A, I-IpaII; Boehringer Mannheim, Indianapolis, IN) should yield a restriction enzyme digestion pattern which can be discerned by gel electrophoresis. An aliquot of the PCR product can be directly used for each digestion. Digest in the appropriate restriction buffer (generally provided by all commercial companies in 10X concentration when enzymes are purchased) at optimal temperature for 2—3 hours. As noted above with community level amplification it is useful to concentrate the amplified product. This can be accomplished by ethanol precipitation (1/2 volume 3 M sodium acetate with 2 volumes of cold 100% ethanol at 20°C for 30 min to overnight) (Maniatis et al., 1982) before or after digestion. The amount of DNA to be loaded per well is dependent of the limiting bands which need to be resolved. The least amount of DNA that can be consistenly detected with ethidium bromide staining is about 10 ng. DNA amounts greater than 100 ng will not be resolved as a sharp clean band. The rDNA restriction fragments are then electrophoresed on 4% (w/v) NuSieve agarose gels (FMC, Rockland, ME) at 7 volts/cm containing 0.5x TAE, and stained in 0.5 rig/ml ethidium bromide solution for 20 min (Figure 3). Finally, DNA banding patterns database and numerical analysis can be performed with analytical hardware/software package such as AMBIS MicroPM-l-M based system (Microbiology Pattern Matching) (Hook et al., 1991). 89 '19 b5 §§lag$ xo‘b OiwaQfi 9rd \Q‘s‘i 9% $411 2.645 — 1 1,198 - 676 - 517 - 350 - 222 126 - Figure 3. Photograph of ethidium bromide stained agarose gel. Lane MW: molecular weight DNA markers, indicated (in base pairs) on the left. Lane 4’ DNA: PCR amplification of water. All other lanes are HpaII restriction endonuclease digestion of PCR amplified l6S rDNA from: G4, Pseudomonas cepacr'a ; PKOl, P. pikettii ; and Pan, P. putida ; Day 0, 13, 29, and 65 are bioreactor samples inoculated with the same strains of bacteria at Day 0 and challenged by aquifer populations after day 19. One interpretation of the results is that Pan becomes the dominant population after Day 29. However, this erroneous interpretation is the result of multiple groundwater populations that happen to have the same restriction fragments of Pan when HpaII rs used. Differences will be more readily detectable when a second or third restriction endonuclease rs put to use. APPENDIX B APPENDIX B DIFFERENTIAL AMPLIFICATION OF rRNA GENES FOR THE DETECTION AND IDENTIFICATION OF PSEUDOMONAS CEPACIA (G4) AND P. PICK EIT II (PKOl) Assessmentofthefateofintroducedpopulationson natru'alecosystems has ecological andpractical significance. Forexample, in the areaofbioremediation technology, seva'al studies have suggested that by introducing and selecting organisms with unique physiologic traits at contaminated sites or in bioreactors may stimulate biodegradation (Chakrabarty, 1986). Pseudomonas cepacia (G4), and P. pickettr'i (PKOl) are two well characterized benzene, toluene, and xylene degrading populations which can also cometabolizc other toxic recalcitrant compounds such as trichloroethylene (TCE) fiom the environment (Shields et al., 1989; Kukor and Olsen, 1990). Recently, we have examined the use ofthese microorganisms in treatment of toluene contaminated groundwater on biological activated carbon fluidized bed reactors and their successes against indigenous aquifer populations. Molecular-based methods can be faster, more sensitive and accurate than classical plating techniques (Johnson, 1989). For example, molecular phylogeny of comparative analysis of 16S rRNA genes (Gray et al., 1984) has been used to determine the species composition of microbial communities, and several approaches have been used to obtain rRNA sequences from natural systems free of bias inherent in cultivation procedures (Lane et al., 1985; Schmidt et al., 1991; Weller et al., 1992). In one of these methods, the polymerase chain reaction (PCR) is used for the synthesis and recovery of rRNA genes from natural systems (Reysenbach et al., 1992; Muyzer et al., 1993) or axenic cultures (Jayarao et al., 1991; Ward et al., 1992). We developed a differential amplification procedure for the detection and rapid identification of strains G4 and PKOl that had been released to a natural environment. This amplification was based on alignment of the 16S 90 91 rRNAsequencewithinaspecificvariableregionEigme l). Resultspresentedhere illusu'atethespecificityandsensidvityoftheseamplificationprobes. P. cepacia (strain G4) GGU CGG AAU CCC GAA GAG AU P. pickeru'i (strain PKOl) GCC ACU AAC GAA GCA GAG AU E. coli CCA CGG AAG UUU UCA GAG AU P. cepacia GGU CGG AAU CCU GCU GAG AG P. picketn'i GCC ACU AAC GAA GCA GAG AU P. aeruginosa GCU GAG AAC UUU CCA GAG AU P. testosteroui GGC AGG AAC UUA CCA GAG AU P. mendocina GCU GAG AAC UUU CCA GAG AU Figure 1. Ribosomal RNA sequence alignments (corresponding to positions in the Escherichia coli 168 rRNA, 998 to 1017) showing target primer binding sites for strains G4 and PKOl. Sequences are either results from Jizhong et al., unpublished or taken fiom the ribosomal data base. Table 1 showsthelistofbacterialsu'ainsusedinthisstudy. Axeniccultureswere grown overnight on Luria broth (Difco, Detroit, MI) and harvested by centrifugation. Genomic DNA (RNA-free) was isolated and purified as previously described (Maniatis et al., 1982). Intragenic regions of the small-subunit rRNA was selectively amplified by PCR using a forward primer complementary to a universally conserved region which correspond to nucleotide positions 49 to 68 (5' - AGAGTTI‘GA TCCTGGCI‘CAG - 3‘, noted as pA) (Ulrike et al., 1989) of Escherichia coli l6S rRNA and reverse species- specific primers corresponding to the complement of positions 1017 to 998 (5' - GGUC GGAAUCCCGAA GAGAU - 3', noted as pG4V3; and 5' - GCCACUAACXEAAGCAGA GAU - 3', noted as pPKV3 specific for strains G4 and PKOl, respectively) (Jizhong et al., unpublished). As a positive control, a universal conserved reverse primer binding site (5' - AAGGAGGTGATCCAGCCGCA - 3', noted as pH; positions 1541 to 1518) (Ulrike et al., 1989) was also used. All primers were synthesized with an Applied Biosystem DNA synthesizer at the Macromolecular and Structure facilities at Michigan State 92 University. Template DNA (50 ng) was used in a 50-ttl reaction volume containing: 5 pl of 10X reaction buffer (500 mM KCl, 100 mM Tris-HCI, pH 8.3, 15 mM MgC12 [Perkin- ElmerCetus,Norwalk, C11), 100uMeachoftwoopposingPfim250uMofeach deoxynucleoside trisphosphates (Perkin-Elmer Cetus, Norwalk, CT), and 1.5 U of Taq DNA polymerase (Perkin-Elmer Cetus, Norwalk, CT). The amplification cycles used were asfollows:denaturationat94°Cfor1min30sec;followedby 30cyclesofdenaturationat 92°Cfor1min30sec,annealingat52°Cfor30sec,andextensionat72°Cfor1min30 sec; anextensionat72°Cfor6min;andterminationat4°C. Amplificationproductswere resolved by agarose gel electrophoresis in a 0.8% (w/V) agarose gel containing 1X TAB (40 mM Tris-HCl, pH 7.5, 5 mM sodium acetate, 1 mM EDTA [disodium ethylene- diaminetetraacetateD, and stained in 0.5 rig/ml ethidium bromide solution, and were photographed in UV light with Polaroid Type 55 film. Table 1. Bacterial su'ains studied and reaction of specie-specific PCR amplification. Reaction with Bacterial strain or isolate Descriptionl Lab. source or ref. $42333 pPKV3 PGseudbmonas cepacr'a beta Shields et al., 1989 + - 4 P. picketrir' PKOl beta Kukor et al., 1990 - + P. mendocina KR gamrrna M. DeFlaun; Yen et al., - - 1991 P. panda Pan gamma Harayama et al., 1989 - - Azoarcus sp. Tol 4 gamrrna Fries et al., submitted - - P. fluorescens gamrm Bill Holben, Mich. St. - - Univ. P. aeruginosa gamma Bill Holben - - Escherichia coli W3110 gamma Bill Holben - - Enrerobacter sp. gamma Bill Holben - - Agrobacterium alpha Bill Holben - - radiobacr‘er Ps. sp. gf 261 beta Lab. collection, Chaper III - - Strain gf 281 alpha Lab. collection, Chaper III - - Subdivision of the Proteobacteria. 93 In standard reactions in which PCR was canied out with universal eubacterial primers, an approximately 1,500-bp amplified fragment was obtained for all the tested strains (Figure 2, lanes 3—8). However, differential amplification with the pPKV3 specific primer only showed an amplified product of the predicted size (approximately 1,000-bp) for strain PKOI, while non of the other species showed product (Table 1; Figure 2, lanes 10-15). The addition of non-specific DNA has no major effects on the reaction, even when the target DNA was 1% of the total (Figure 2, lanes 16-18). Similar results were obtained with the pG4V3 primer for differential amplification of strain G4 (Table 1). ABCDEFGHIJKLMNOPQRS 1.500 9 Figure 2. Differential amplification of bacterial 16S rRNA genes. Lanes A and S, i. PstI standards (in base pairs); lanes B and I, PCR without template; lanes C to H, and J to O are PCR amplification of Escherichia coli, strain G4, strain PKOl, strain Pan, P. fluorescens, and P. aeruginosa using universal primers pA and pH, and using the universal primer pA combined to the specie-specific oligonucleotide primer pPKV3 respectively; and lanes P to R are PCR amplification using pA and pPKV3 primers of 1:1, 1:10, and 1:100 PKOl template DNA in the presence of non-specific DNA (Pan). We also used this procedure for examining a biofilm community pre-seeded with P. cepacr'a (G4) (see Chapter II). Figure 3 shows differential amplification of the 16S rDNA 94 intragenic region of strain G4. According to the test, strain G4 or closely related populations were below detection limits in the marine biofilm community suggesting that G4 probably was out competed during earlier events of community establishment. Our observations were further supported by traditional microbiological methods and DNA-DNA hybridization techniques with a catabolic gene probe derived from strain G4 (data not shown). Figure 3. Differential PCR amplification of P. cepacia (G4) from a toluene treating bioreactor community inoculated with the same strain of bacteria using primers pA and pG4V3. Lanes A and F, A Pst I standards (in base pairs); lane B, PCR without template; lanes C, strain G4; lane D, bioreactor community, day 63; and lane E, 1:1 of the same community DNA and G4 In conclusion, we developed a rapid PCR-based method as a useful presumptive test for the detection of toluene degrading strains G4 and PKOl. Lack of amplification would then imply that the template concentration of the target strain or phylogenetically closed relatives were below the limit of sensitivity or that the template was absent, as was the case for our DNA-negative controls. 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