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J . , ll . . - . . . - J21...“ .331: .,.v..a0v-..n A... . .. | I I .l i i I 0 r 3‘ lb r ‘ Wit-753:8 Date 0-7 639 llllllllllllll|||H||llHlllllllllllllllllllllllllllllllllllll 3 1293 02080 LIBRARY Michigan State University This is to certify that the thesis entitled Inheritance and Intercellular Fluid Protein of a Foliar Disease Lesion Mimic Trait in Sugarbeet (Beta vulgaris L.) 9/9/99 presented by Goran Srnic has been accepted towards fulfillment of the requirements for 8.3. degree in W011 Sciences by; ‘ I 0 major professor MS U is an Affirmative Action/Equal Opportunity Institution PLACE IN RETURN BOX to remove this checkout from your record. TO AVOID FINES return on or before date due. MAY BE RECALLED with earlier due date if requested. DATE DUE DATE DUE DATE DUE 11/00 mummy.“ INHERITANCE AND INTERCELLULAR FLUID PROTEIN OF A FOLIAR DISEASE LESION MIMIC TRAIT IN SUGARBEET (BETA VULGARIS L.) BY Goran Srnic A THESIS Submitted to Michigan State University in partial fulfilment of the requirements for the degree of MASTER OF SCIENCE Department of Crop and Soil Sciences 1999 ABSTRACT INHERITANCE AND INTERCELLULAR FLUID PROTEIN OF A FOLIAR DISEASE LESION MIMIC TRAIT IN SUGARBEET (BETA VULGARIS L.) BY Goran Srnic Disease lesion mimic (DLM) phenotypes in crop plants are characterized by water-soaked spots and lesions on foliage, but close association with forms of disease resistance has been discovered in most such cases. A single DLM sugarbeet from a breeding population was used as a parent in determining the inheritance of the DLM phenotype, using segregation patterns of F1, F2, F3, and BCl progenies from a single DLM X wild type cross. This DLM trait is proposed to be conditioned digenically, by homozygosity of a recessive allele at one locus, and by the simultaneous presence of at least one dominant allele at a second independently segregating locus (i.e., dlmL/dlmerlm2/—z). DLM occured on older leaves, but never on shoots and plantlets grown on various media in vitro. When intercellular fluid (ICF) proteins were Visualized, defense proteins, including those with chitinase activity, appeared several fold more abundant in leaves from DLM than from WT plants. Dedicated to my parents, Mira and Slavko, and to my sisters, Katarina and Jelena, for all of their love and support. ACKNOWLEDGMENTS I would like to thank to all people and schools who influenced, encouraged, and supported me in my studies: I had a great honor working last two and a half years under my major adviser Dr. Joseph W. Saunders. I want to thank him for all the time, energy as well as patience in teaching me about plant research, science, and life in general. It was from him teaching me plant breeding in such a way that I developed a great attraction to the discipline. I would like to thank deeply my committee members: Dr. John M. Halloin for his valuable advice and discussions, and for always being available for me, and Dr. Raymond Hammerschmidt for his input, and guidance during my studies. My thanks go to: Dr. Mitchell J. McGrath for his advice with inheritance and protein studies and for his generous technical support; Peter S. Hudy for laboratory support and help with experiments; Gretchen Yurk and Lisa Snyder for help with in vitro cloning; doctoral candidate Luis Velasquez for teaching me spectrophotometric and electrophoretic techniques; and doctoral candidate in physics and my close friend Emil Bozin for his patience in helping me with statistical problems. I would like to thank Michigan State University where I spent four years and was awarded BS and MS in Crop and Soil Sciences, and "Agronomski Fakultet-éacak", Yugoslavia, where I completed the biggest part of my undergraduate studies. I also would like to thank: "Gimnazija Filip Filipovic"—Cacak, Yugoslavia, where I finished the final two years of high school; Srednjoskolski Centar "Niko Andjus"—Budva where I completed the first two years of high school; and elementary school "Stjepan Mitrov Ljubiéa"—Budva, Yugoslavia, where I completed eight years of elementary education. Thanks to all of my friends who supported and encouraged me during my studies: families Bakic, Bozin- Tomic, Drndarevic, Popovic, Rankovic, as well as Susan Redwine, Dr. Djordje Tomasevic, Lazar Nesié, Slobodan Eric, Aleksandar Krstic, Milan Pajovic, and Zoran Terzic. Thank you Wendy A. Pline for your love and unselfish support through all of these years. I would like to thank all of my cousins in families Radmilac and Srnic for all their love, care and help during all of my life. Thank you my dear uncle Branko Radmilac for being like a father to me and for developing love for village and agronomy in my childhood. Thanks to my family Mira, Slavko, Jelena and Katarina, to whom this thesis is dedicated, for being always there for me. At the end I beg for forgiveness to many of those whom I did not mention and who deserved it. TABLE OF CONTENTS Page LIST OF TABLES .......................................... viii LIST OF FIGURES ............................................ x CHAPTER I LITERATURE REVIEW Description of the Species ................................. 2 Disease Lesion Mimics ...................................... 6 Inheritance of Foliar Disease Lesion Mimic (DLM) Traits....8 Pleiotropy Between DLM and Disease Resistance in Plants ............................................... 10 Chemical and Molecular Markers of DLM ..................... 12 Objectives, Approaches and Methods........ ................ 13 CHAPTER II INHERITANCE OF A FOLIAR DISEASE LESION MIMIC (DLM) TRAIT IN SUGARBEET (BETA VULGARIS L.) INTRODUCTION .............................................. 19 MATERIALS AND METHODS ..................................... 24 Plant Material ....................................... 24 Propagation of Plant Material in vitro ............... 30 RESULTS ................................................... 32 DLM Occurrence in Puqm: E3, E5, BC1, and F3 Families ........................................... 32 DISCUSSION ................................................ 36 w CHAPTER III ICF PROTEIN OF DLM IN SUGARBEETS INTRODUCTION .............................................. 77 MATERIALS AND METHODS ..................................... 81 Plant Material ....................................... 8l Intercellular Fluid (ICF) Isolation .................. 82 Measurements of Total Protein in ICF Samples ......... 82 SDS Polyacrylamide Gel Electrophoresis ............... 83 Protein and Chitinase Activity Staining .............. 85 RESULTS ................................................... 87 SDS PAGE of ICF Proteins ............................. 87 Spectrophotometric Determination of ICF Protein Concentrations .................................. 91 DISCUSSION ................................................ 94 BIBLIOGRAPHY ............................................. 108 Wi Table Table Table Table Table Table Table Table Table Table Table Table Table Table LIST OF TABLES Page Some characteristic single—gene traits in sugarbeet (Beta vulgaris L.): characters and gene symbols (modified from Smith, 1980) ....... 15 Foliar DLM mutants ............................. 17 F1 individuals and respective F2, F3, and BCl progenies involved in segregation analysis ..... 48 Genotypes used as controls for phenotypic categories for segregation analysis of progenies from 106-C1 X REL-2 .................. 49 Chi-square tests for 3:1 (12:4) (WT:DLM) segregation ratio in F2 families ............ 50 Chi-square tests for 9:7 (WT:DLM) segregation ratio in F2 families ........................ 51 Chi-square tests for 10:6 (WT:DLM) segregation ratio in F2 families ............ 52 .d Chi-square tests for 13:3 (WT:DLM) segregation ratio in F2 families ............ 53 Chi-square tests for 15:1 (WT:DLM) segregation ratio in F2 families ............ 54 Chi-square tests for 1:1 (WT:DLM) segregation ratio in BC1 families ....................... 55 .g Chi-square tests for 3:1 (WT:DLM) segregation ratio in BC1 families ....................... 56 Chi-square test for 1:3 (WT:DLM) segregation ratio in BCl families ....................... 57 Chi-square tests for 5:3 (WT:DLM) segregation ratio in BC1 families ....................... 58 Chi~square tests for 1:0 (WT:DLM) segregation ratio in F2 families ........................ 59 WH Table Table Table Table Table Table Table Table Table Table Table .k Chi-square tests for 3:1 (WT:DLM) segregation ratio in F3 families ........................ 60 .1 Chi—square tests for 0:1 (WT:DLM) segregation ratio in F3 families ........................ 61 .m Chi-square tests for 13:3 (WT:DLM) segregation ratio in F3 families ............ 62 .n Chi-square tests for 1:3 (WT:DLM) segregation ratio in F3 families ........................ 63 .a Summary of chi—square analyses for fit of F2 families to possible digenic segregation ratios ....................................... 64 .b Summary of chi-square analyses for fit of BC1 families to possible digenic segregation ratios ....................................... 65 .c Summary of chi-square analyses for fit of F3 families to possible digenic segregation ratios ....................................... 66 .a Proposed lineage of'EH, E2, and BC1 individuals based on segregation ratios in F2 and BC1 families (Tables 2.3.a-i) ......... 67 .b Proposed lineage of E3 families, based on their segregation ratios (Tables 2.3.j-n)....67 Spectrophotometric determination of ICF protein concentrations, experiment #1: Protein concentrations in foliar ICF of WT and DLM individuals .................................... 101 Spectrophotometric determination of ICF protein concentrations, experiment #2: Protein concentrations in foliar ICF of WT and DLM individuals for each of two flushes from the same leaves .................................... 102 Figure Figure Figure Figure Figure Figure Figure Figure Figure (A) LIST OF FIGURES Page DLM phenotype of an F2 plant in the form of water-soaked spots on foliage ............ 68 DLM phenotype of an F2 plant in the form of necrotic lesions on foliage .............. 68 Monogenic recessive segregation ratios in F1, F2, F2, BC1, and in 81 of P2 if no phenotypic segregation for DLM is observed in F1. Underlined are proposed DLM genotypes ......... 69 .a All possible digenic segregation patterns in F2 generation, if 106-C1 is aa -— genotype, and REL-2 is A—--. Underlined are proposed DLM genotypes ............................... 70 Expected digenic segregation ratios in F2 generation, if 106-C1 is aaBb genotype, REL-2 is AABb, and DLM does not segregate in F2 generation. Underlined are proposed DLM genotypes ............................... 71 Expected digenic segregation ratios in BCl generation, if 106—C1 is aaB- genotype, REL-2 is AABb, and DLM does not segregate in the F2 generation. Underlined are proposed DLM genotypes ............................... 72 Expected digenic segregation patterns in F3 generation, if 106-C1 is aaBb genotype, REL-2 is AABb, and DLM does not segregate in F2 generation. Underlined are proposed DLM genotypes ................................. 73 DLM segregation percentage in F2 vs. BCL ...... 74 Frequency distribution of DLM segregation in F2 families. Three groupings (around 25%, 18%, and 0%) evident here are characteristic of digenic segregation from.F2 genotypes (Dlml/dlm1:Dlm2/Dlm2),(Dlml/dlm1:Dlm2/dlm2), and (DlmI/dlm1:dlm2/dlm2), respectively ........... 75 Figure Figure Figure Figure Figure 3. .1 2 .4 .5 Foliar ICF protein SDS PAGE separation profile following Coomassie Blue staining. ICF taken from WT vs. DLM individuals, with equal ICF volumes applied to gel ............. 103 Foliar ICF protein, SDS PAGE separation profiles following Coomassie Blue staining. ICF taken from WT vs. DLM individuals, with equal protein amounts applied to gel ......... 104 Foliar ICF protein, SDS PAGE separation profiles following Coomassie Blue staining. Consecutive ICF isolates taken from WT vs. DLM individuals, with equal ICF volumes applied to gel ............................... 105 Foliar ICF protein, SDS PAGE separation profiles following a) Coomassie Blue staining, and b) chitinase activity staining. Consecutive ICF isolates taken from WT vs. DLM individuals, with equal ICF volumes applied to gels .............................. 106 Foliar ICF protein, SDS PAGE separation profiles following a) Coomassie Blue staining, and b) chitinase activity staining. ICF taken from WT vs. DLM individuals, with equal protein amounts applied to gels ........ 107 fl CHAPTER ONE LITERATURE REVIEW Description of the Species The species Beta vulgaris belongs to the family Chenopodiaceae. The species is highly variable and consists of four groups of agricultural significance: leaf beet, garden beet, fodder beet and sugarbeet (Winner, 1993). The species was named for the first time in 1753 by Linnaeus, who classified it into three "varieties": var. perennis (wild type), var. rubra (garden beet), and var. cicla (foliage beet) (Winner, 1993). Wild beet, the ancestor of sugarbeet, is considered to have originated from Mediterranean coasts and Western Asia, but extended to India and Scandinavia. Sugarbeet is a unique widely grown product of breeding within the species Beta vulgaris. Production of this crop has spread extensively to all populated continents except Australia. Sugarbeet and sugar cane are the only two crops that are economically important sources of sucrose. The world production of sugar has at least doubled during the last thirty years (Winner, 1993). Despite production of alternative sweeteners, whether artificial or monosaccharide, demand for sucrose continually increases. Sugar beet is a dicotyledonous plant, considered to have a biennial growth habit. The mature beet consists of crown, root neck and tap root. Being a crop of temperate regions, it is mainly grown between 30° and 60°N. If left in the ground, it reaches flowering in the second year. A process of vernalization, artificially achieved by 10-16 weeks at 4-5 °C, is needed for flowering with the majority of sugarbeet germplasm. Some of the wild Mediterranean forms, such as B. maritima, B. macrocarpa, and B. atriplicifolia, are annuals, and do not require the vernalization process (Bosemark, 1993). Hayward (1938) described variability of biennial habit in B. maritima under different environments, so that any individual plant could behave as annual, biennial or perennial, depending on environmental conditions. Saunders (1982) reported on flowering in several sugarbeet genotypes being induced by continuous incandescent light and moderate temperatures, without vernalization. The sugarbeet tap root produced in the first year is succulent, and serves as a fleshy food reserve. The crown stem is short with a rosette of leaves. In the second year or following vernalization, the plant first forms a second rosette of leaves, then a bushy shoot, and finally flowering branches. Food reserves from the tap root are used during this process (Hayward, 1938). All groups of B. vulgaris are diploid with chromosome number 2n=2X=18. Haploid beets can be created by ovule culture (Hosemans et al., 1983). Polyploid beets can be created from: unreduced gametes, colchicine treatment, or from crosses between polyploid and diploid beets (Bosemark, 1993). Identification and use of the first (auto)tetraploid beets (2n=4X=36) was done in the 1930's (Bosemark, 1993). The first triploid beets (3X=36) were obtained by crossing diploid with tetraploid plants. Diploid and triploid hybrid varieties are currently marketed. Some parental combinations are more productive as diploids, while others are more productive as triploids. Principles of Mendelian inheritance apply in tetraploid and diploid beets. In tetraploids, each locus is present four times in somatic nuclei, and inheritance is more complicated than in diploids, which makes breeding and genetic manipulation in general difficult at the tetraploid level. Sugarbeet is considered to be mainly self-sterile and sets few to no seeds under strict isolation. Sugarbeet is very sensitive to inbreeding depression. Germplasm that has undergone only several generations of exclusive self pollination often yields less than 50% of comparable non- inbred families. This is consistent with cross-pollination being the primary mode of sexual reproduction within the species. In contrast to this character, sugarbeet plants that carry the dominant Sf allele for self-fertility are almost obligately self-fertile. The trait controlled by the Sf allele is used to develop inbred lines. Pollination control for hybrid seed production in sugarbeets depends on cytoplasmic-nuclear male sterility, and requires development of monogerm parental lines, usually inbreds, that are O—type maintainer (N)xxzz genotypes and their male sterile "equivalents" (S)xxzz genotypes, which are created by up to 8 repeated backcrosses of the developing cytoplasmic-nuclear male sterile lines to their respective maintainer lines. This way each male sterile line has its near—isogenic O—type counterpart or "equivalent," which is used to increase seed of the sterile line when needed. The most common system in creating diploid commercial hybrids is to use the F2 hybrid between an inbred male sterile (MS) line and an unrelated, but good specific combining inbred O—type, as female parent, and an open pollinated multigerm line or population as the male parent (Bosemark, 1993). A recent genetic map of sugarbeet contains 177 identified markers, including 2 morphological traits, 7 isozymes, and 168 RFLP markers (Pillen et al., 1993). This did not include the locus identified through the process of somaclonal cell selection for sulfonylurea herbicide resistance (Sur) (Saunders et al., 1992). Two further alleles (Sir-13 and 93R30B) at the locus were identified by Wright et al. (1998), following isolation of two forms of imidazolinone herbicide resistance by somatic cell selection. All three mutants are allelic. The use of molecular linkage maps which identify agronomically important traits would provide important information of practical significance. Known markers closely linked to important loci with desirable variation can help to reduce the number of generations needed to introduce a new gene, when using traditional breeding procedure such as backcrossing. Sugarbeet markers have been organized into 9 linkage groups, with an average marker spacing of 6 cM (Pillen et al., 1993). Each of those linkage groups contained between 13 and 24 markers, with the length of the groups ranging from 80.7 cM (Group VIII) to 167.4 cM (Group VII) (Pillen et al., 1993). Disease Lesion Mimics Foliar disease lesion mimicry (DLM) is a heritable spontaneously occurring phenotype in many species which is expressed as the production of water-soaked and/or necrotic areas on leaves. Plants expressing the DLM trait often are less vigorous and have reduced leaf area, with less photosynthetically active foliage. Many require special care in order to survive, which adds to research efforts. Localized foliar cell death and lesion formation, as a general phenomenon in plants, can be caused by physiological stress, wounding, and/or disease. In addition to these factors, DLM phenotypes involve formation of lesions even in the absence of stress, wounding or disease (Walbot et al., 1983). The report of Emerson (1923) on "blotch leaf" in corn was one of the first reports on DLM. There are a number of reports from plant species (Table 1.2), of genetic variants that form areas of water—soaked and lesion tissues on foliage in the absence of pathogens. In sugarbeet, Ulrich (1961) reported a "red-spot disease of genetic origin," but the study did not focus on the phenomenon nor demonstrate a genetic origin, and the "red—spot" plants were discontinued from the study. In some cases, the water-soaked and/or lesion areas resemble those resulting from the hypersensitive response (HR). Others resemble specific disease symptoms caused by pathogens (Dangl et al., 1996). In Arabidopsis, plants with the DLM phenotype were named either as "accelerated cell death” (acd) mutants (Greenberg et al., 1993) or "lesion simulating disease" (lsd) mutants (Dietrich et al., 1994). Both types of mutants involved similar spontaneous foliar phenotypes, but were non—allelic to each other. In transgenic tobacco plants expressing either vacuolar or apoplastic yeast invertase, DLM was expressed as spontaneously formed HR-like lesions (Herbers et al., 1996). Kosslak et al. (1996, 1997) reported 3 allelic root disease mimic mutants in soybean, that expressed root lesions whereas the foliage appeared normal. Inheritance of Foliar Disease Lesion Mimic (DEM) Traits In corn, barley, soybean, Arabidopsis, tobacco, tomato and rice a large number of loci have been identified to be involved in DLM phenotypes (Walbot et al., 1983; Wolter et al., 1993.; Dietrich et al., 1994). Hoisington et al. (1982) projected 60 to 70 independently segregating loci responsible for DLM in corn alone, “based on the frequency of mutant recovery thus far.” Overall such a large number of loci could involve a wide range of DLM inheritance patterns both between and within species. In corn, DLM inheritance has been viewed as either dominant or recessive, depending on the locus. In at least one case (Ullstrup et al., 1967), the trait in corn showed a monogenic recessive mode of inheritance, with segregation in 3:1 (wild type:mutant) ratios in F2 and F2 single-ear progenies. DLM there was not expressed in F2, but was expressed in ~25% of F2progenies. Neuffer et al. (1975) created a corn population by pollinating a vigorous genotype with pollen treated with ethyl methanesulfonate (EMS). They identified two disease lesion leaf types (Lesion—1 and Lesion-2) in the NH population. Both mutant types were inherited as dominant, demonstrated by reciprocal crosses between DLM and wild type plants. Lesion—1 (Les—l) and Lesion-2 (Les—2) mutants clearly differed in lesion characteristics, such as size and frequency. Crosses between double heterozygote (Lesion-1 X Lesion-2) plants as well as backcrosses of the double mutant to the wild type parents were made to test for allelism. In the resulting generation, all phenotypes, including Lesion-1, Lesion-2, Lesion- 1Lesion-2 and wild type were obtained, indicating that the two lesion mutants were non-allelic. Dietrich et al. (1994) described six Arabidopsis mutants (lsdl, lsd2, lsd3, lsd4, lsd5, and T5121), defining four loci, that spontaneously formed necrotic lesions on leaves. Mutants lsdl, lsd3 and lsd5 were each inherited as monogenic recessive, and lsd2 and lsd4 as monogenic dominant. In all cases, segregation patterns were consistent with traits conditioned by single loci, in the homogenous Arabidopsis genetic background of ecotype Columbia. Wolter et al. (1993) identified a locus with multiple recessive alleles (mlol, mlo3 and mloS) responsible for a DLM trait in barley after mutagen treatment of barley cultivars that previously had carried a heterozygous or homozygous dominant wild type M10 allele. Near-isogenic lines that carried dominant M10 as well as recessive mlo3, mlo7, mlo9, mlolO, mlol3, mlol7, and m1026 alleles did not express the DLM phenotype. All 10 mlo recessive alleles were involved in gene to gene resistance to Erysiphe graminis, and thus three of them were expressing pleiotropy for DLM in barley. Another rare example of multiple alleles being responsible for DLM expression in plants was reported in corn by Hu et al. (1996). Four mutant or recombinant alleles (Rpl—D21, Rpl—MD19, Rpl-KrlN, and rpl-NC3) at the Rpl locus in corn control a DLM phenotype. The first three alleles segregated codominantly, so that the DLM phenotype was strongly expressed in heterozygous combinations, and the homozygous condition was lethal. Allele rpl-NC3 segregated as recessive (Hu et al., 1996). This appears to be the only report of codominant inheritance of alleles at a DLM locus in plants. Langford (1948) reported more complex inheritance of a DLM trait in tomato, one that included at least 2 major independently segregating loci, Cfbland Ne, as well as an undetermined number of loci that prevented and/or suppressed the development of that DLM phenotype. The DLM trait was inherited digenically, with heterozygous or homozygous dominant alleles at one locus, and homozygous recessive allele or alleles at other locus (i.e., Cflfl—;nene). Pleiotropy Between DLM and Disease Resistance in Plants Some DLM traits, despite foliar damage, may not be entirely undesirable. Association between DLM and greater lO systemic acquired resistance (SAR) in Arabidopsis has been reported (Dietrich et al., 1994; Greenberg et al., 1994). In the Dietrich et al. (1994) study, four out of 6 lsd mutants expressed greater systemically acquired—like disease resistance to various fungal and bacterial pathogen isolates than the WT plants. Two acdl mutants were inherited as monogenic recessive, and both produced HR—like lesions (Greenberg et al., 1993). These mutants were more susceptible to opportunistic infections than were wild type plants. Some of the avirulent races of Pseudomonas syringae pv. maculicola promoted rapid spread of lesions on foliage of acdl mutants. Langford (1948) reported that a foliar DLM as a form of "a spontaneous and destructive necrosis” in tomato could be seen only in lines that carried the dominant Cflfl allele for resistance to tomato leaf mold, caused by races 1-4 of Cladosporium fulvum Cooke. Only resistant plants segregated for the spontaneous necrosis phenotype. Presence of the Cflfl allele appeared to be necessary for both disease resistance and spontaneous necrosis formation. In barley, the Nflo locus with recessive mlo resistance alleles controls race non-specific resistance to powdery mildew caused by Erysiphe graminis. Near-isogenic barley lines carrying the mlol, mlo3 or mloS alleles had a lesion mimic phenotype and underwent spontaneous foliar cell wall 11 appositions (Wolter et al., 1993). All other recessive mlo alleles studied were involved in resistance to E. graminis, but without expressing DLM. Some degree of pleiotropy between spontaneous lesion phenotypes and altered levels of resistance has been reported in Arabidopsis (Dietrich et al., 1994), and, in other species, different levels of association between spontaneously formed lesions and greater or, rarely, lesser levels of resistance have been established. Yet, it is very important to thoroughly dissect these phenomena, and to be able to separate genetic factors for water-soaked and lesion appearances on the foliage from any individual genetic factors for disease resistance that could be used in breeding more resistant crops. Chemical and.Mb1ecu1ar Markers of DLM In five out of six Arabidopsis lsd mutants, lesion formation and expression of four markers of disease resistance response (Dietrich et al., 1994) such as accumulation of autofluorescent materials, presence of callose at the sites of necrosis, irreversible membrane damage, and expression of SAR genes, happened at the same time as lesion formation. Autofluorescence and callose 12 deposition were examined after serial incubations and staining of leaves, by observing them under ultraviolet light and differential interference contrast microscopy. Irreversible membrane damage as a sign of cell death was measured by trypan blue uptake. Expression of SAR genes was visualized by extracting RNA from leaf material, electrophoresis of the RNA through agarose—formaldehyde gels, and transfer of the RNA to nylon membranes where it was probed for SAR genes PR—l, PR—2, and PR-5 using cDNAs (Dietrich et al., 1994). Objectives, Approaches and.Methods Objective 1 of this study with sugarbeet was to determine the mode of inheritance of a DLM from one source. The approach for this objective was to investigate the transmission genetics characteristics of the DLM trait. The method used was segregation analysis of F2, F2, F3, and BCl progenies from a DLM X wild type (WT) cross. Objective 2 was to investigate some physiological processes that might be characteristic of DLM expression. The approach to this objective was to study some defense protein characteristics of the DLM phenomenon. Methods used to achieve this objective relied on the comparison of protein patterns and protein concentrations using sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS 13 PAGE) to describe differences between wild type and DLM phenotypes. 14 Table 1.1 Some characteristic single-gene traits in sugarbeet (Beta vulgaris L.): characters and gene symbols (modified from Smith, 1980). Genetic Character _3gmbols Y,Y‘Ly Yellow pigment R,Rt,Rp,Rh, r Hypocotyl color Cl,cl Colored leaf Tr,tr Trout or spotted leaf Cv,cv Colored vein B,b Annual growth habit V2,V3 Variegated foliage C,c Partially dominant curly top resistance cr,Cr Crinkled foliage, reduced plant size p,P Non-production of color m,M,MBr,M1,M2 Monogerm seed lb Late bolting C2 Partial curly top resistance a1,A1 Mendelian male sterility luLLu2 Lutescens, green cotyledons followed by death ru,Ru Russet root ch2,Ch2 Chlorina cotyledons and all leaves are yellow green cfln,Ch1 Chlorina, more reduction in root yield than ch2 viLVd4 Virescens, pronounced delay in chlorophyll production in first true leaves, white to light green leaves X,x Restores male fertility in sterile cytoplasm Z,z Produces partial fertility in sterile cytoplasm Sh,sh Enhances pollen production y1,Yl Yellow leaf bl,Bl Black root d,D Dwarf mature plants. Seedlings have thick hypocotyls pl,Pl Plantain leaf; semi-parallel venation 33,31' Self fertility Sa,Sb Self sterility Sapfiwék,sd Self-incompatibility, 4 gametophytic loci w,W Albino lethal V2,V2 Variegated cotyledons V3,V3 Variegated foliage and root fleshfl 0 table continues on the next page 15 Continued from the previous page: Sur, Sirl3, 93RBB, sur Table 1.1 Some characteristic single-gene traits in sugarbeet (Beta vulgaris L.): characters and gene symbols (modified from Smith, 1980). Genetic Character _ggmbcls f,F Flaccid leaf n,N Nana plants, leaves thick and leathery and Miniature, lethal, conflicts with monogerm re,Re New leaves of mature plants reduced in size and lanceolate shaped W2,W1 Albino seedlings Au,au Golden-yellow cotyledons, semilethal heterozygote, lethal homozygote lu,Lu Lutescens, leaves produced after second pair become progressively yellow, some survival Virescens, golden-yellow seedlings, varying degrees of delay of chlorophyll production Sulfonylurea, imidazolinone, and combined sulfonylurea and imidazolinone herbicide resistance. 16 Table 2.1 Foliar DLM mutants. Disease Species IDLMzmutants Inheritance Resistance b1 blotched leaf in CORN Monogenic Not available (Emerson 1923.) recessive b1 blotched leaf in CORN Monogenic Not available (Ullstrup et al., 1967.) recessive ns necrotic leaf spot in Monogenic Not available CORN recessive (Hornbrook et al., 1970.) lesion-1,2 in CORN Monogenic Not available (Neuffer et al., 1975.) dominant, non-allelic rpl-related lesion mimic Monogenic Increase in gene mutants in CORN dominant and to gene to (Hu et al., 1996.) recessive, .Puccinia sorghi multiple alleles lls lethal leaf spot in Monogenic Increase in SAR— CORN recessive like (Simmons et al., 1998.) no, Cf spontaneous necrosis Digenic: Increase in gene in TOMATO recessive to gene to (Langford 1948.) and dominant Cladosporium alleles fulvum s1 Segiguchi lesion in RICE Monogenic Decreased (Marchetti et al., 1983.) recessive .mlo in BARLEY Monogenic Increase in gene (Wolter et al., 1993.) recessive, to gene to multiple Erysiphe alleles graminis lsd lesion simulating Monogenic Increase in SAR- disease in ARABIDOPSIS dominant and like (Dietrich et al., 1994.) recessive acd accelerated cell death Monogenic Increase, and in ARABIDOPSIS dominant and decrease, in (Greenberg et al., 1993.) recessive SAR-like cwlnv, vaclmv in transgenic Not Increase in SAR- TOBACCO available like (Herbers et al., 1996.) 17 1px;: ~—-:: +1 CHAPTER TWO INEERITANCE OF A FOLIAR DISEASE LESION MIMIC (DLM) TRAIT IN SUGARBEET (BETA VULGARIS L.) 18 INTRODUCTION The discoveries in plants of heritable spontaneous lesion formation, generally referred to as: "disease lesion mutants" (Walbot et al., 1983; Kosslak et al., 1996), "lesion mimic mutants" (Herbers et al., 1996), and "cell death mutants" (Dangl, et al., 1996), have broadened an earlier definition that: "the formation of local lesions on plant leaves can result from a variety of factors, including physiological stress, wounding, and pathogen infection" (Hu et al., 1996). Programmed and localized cell death can be a form of the hypersensitive response (HR), usually at a pathogen infection site. Easily seen are water-soaked leaf areas of various sizes, depending on the cause and plant genotype, that progressively become necrotic (Agrios, 1997). HR is an important feature that is closely associated with systemic acquired resistance (SAR) to disease. Both HR and SAR usually are initiated by either avirulent or virulent pathogens during plant-microbe interactions (Greenberg et al., 1993). Variants and mutants with characteristic phenotypes of multiple foliar lesions resembling damaged areas produced in HR, and possessing constitutively altered levels of disease resistance have been reported in quite a few plant species 19 (reviewed by Dangl et al., 1996). Some of these phenotypes were discovered as spontaneous variants, as in corn (Emerson, 1923), tomato (Langford, 1948), sugarbeet (Ulrich, 1961), rice (Marchetti et al., 1983), and barley (Wolter et al., 1993). Others were induced by a) mutagenic irradiation or chemicals as in corn (Hornbrook et al., 1969; Neuffer et al., 1975), Arabidopsis (Greenberg et al., 1993; and Dietrich et al., 1994), or b) genetic transformation as in tobacco with transgenes for yeast-derived invertase (Herbers et al., 1996). The Arabidopsis mutants have been used for study of plant responses to pathogen attack, because of the constitutive expression of some of the disease resistance markers such as a) cell death and oxidative burst, b) deposition of callose and lignin, c) accumulation of phytoalexins, d) induction and accumulation of SAR gene transcripts, and e) accumulation of PR proteins (Dangl et al., 1996; Ryals et al., 1996). As a general rule, expression of HR is induced during the onset of SAR. A number of exceptions have been reported. Yu et al. (1998) reported a dndl mutant in Arabidopsis that underwent SAR after induction with Pseudomonas syringae, but without expressing HR. A series of acd and lsd mutants of Arabidopsis expressed both HR and SAR constitutively, without being challenged by biotic or abiotic inducers (Dietrich et al., 1994; Weymann et al., 1995; Greenberg et 20 al., 1994). Moreover, the two acdl mutants in Arabidopsis that spontaneously formed foliar lesions, were more susceptible to opportunistic infections, meaning that SAR in both acdl mutants was less expressed than in wild type plants (Greenberg et al., 1994). Numerous allelic and non- allelic lesion mimic mutants have been identified in several plant species. (see Introduction). In at least 7 out of 10 different DLM sources in 7 plant species, such as tomato (Langford, 1948), corn (Neuffer et al., 1975; Hu et al., 1996; Simmons et al., 1998), rice (Marchetti et al., 1983), barley (Wolter et al., 1993), Arabidopsis (Greenberg et al., 1993; Dietrich et al., 1994), and soybean (Kosslak et al., 1996) in which the association with disease resistance was investigated, were reported to possess greater expression of SAR, and/or greater gene-to-gene specific resistance, compared to wild types. Similarities and differences of these mutants with genetically controlled expression of the lesion phenotype have not been compared elswhere in the literature. In Arabidopsis some of the acd mutants have shown greater similarity in disease response for example, to lsd than to other ACD mutants. In corn, lesion mimic mutants have been classified based on the method and date of isolation, rather than based on physiology and genetics. Altogether, these mutants can be considered as Disease Lesion Mimic mutants, 21 because all reports have agreed that the lesions and water— soaked spots on foliage resembled those of pathogen-attacked plants. The exceptions are 3 allelic necrotic root mutants in soybean that show disease—like symptoms only in root tissue (Kosslak et al., 1996, 1997). For sugarbeet, the term "Disease Lesion Mimic (DLM)" is considered the proper one, as well. The foliage of DLM sugarbeet plants clearly expressed disease symptoms, similar to pathogen-induced ones, and the plants show less vigor compared with WT relatives. The similarity in appearance of the water-soaked spots and lesions of sugarbeet DLM plants to the descriptions of other lesion—mimic mutants is large. Additional characteristics of DLM mutants such as a) Mendelian segregation of one to few loci conditioning the DLM phenotype, and b) enhanced levels of accumulation of at least some of the defense chemicals, and perhaps altered levels of disease resistance, could be used as distinguishing criteria for classification of this sugarbeet foliar phenotype in the DLM category. Such spontaneous lesion formation is genetically controlled, and does not require direct plant pathogen interactions (reviewed by Dangl et al., 1996). Identification, isolation, and manipulation of genes involved in spontaneous lesion formation has prospects for improving not only intensity but also speed of disease 22 resistance responses. In most cases, spontaneous lesion formation was controlled by as few as one or two loci. Study of inheritance patterns is a way of identifying the minimum number of loci involved, and of indicating efficient methods for introduction of critical alleles into other genetic backgrounds of interest. 23 MATERIALS AND METHODS Plant Meterial This research was based primarily on a cross between the original DLM clone (106-C1) and the wild—type (WT) clone REL—2, with segregation analysis of progeny generations. All F2, F2, F3, and BCl progenies referred to were generated from the foundational cross (106-C1 X REL-2), unless otherwise indicated. Vegetatively propagated ramets (copies) of 106-C1 and REL-2, and 81 progeny of REL—2 were used as controls in scoring progeny for the DLM phenotype. An advantage of using a single DLM source in initial determination of the inheritance was the avoidance of complications that may arise from involvement of multiple loci or DLM systems that independently of each other could condition the DLM phenotype. The DLM parent (P1) 106—C1, considered from past experience to be pseudo self-fertile, trait not associated with DLM, and thus capable of setting a small number of seeds if self-pollinated under strict isolation, was the seed parent in the foundational cross. This parent was selected for root smoothness from progeny of the full sib cross of two plants in the B3—7 family in a smooth root breeding program in 1991. Clone 106-C1 is biennial and 24 diploid. Genotype 106-Cl, when pollinated in a pair—cross by REL-2, a plentiful pollen producer, very likely sets no self-seed. All Flplants from this cross were classified as WT and there was no segregation for DLM as would be likely in cases of self-fertilization, presuming some form of recessive inheritance of DLM. Lack of any progeny derived from self-fertilization in such cases could be expected due to broad sense gametophytic selection in which abundant REL- 2 pollen completely outcompetes the pollen of 106-C1 for access to eggs of 106-C1. REL-2, originally known as LTR—41, is a WT clone, used as the male (pollinator) (P2) in the foundational cross with DLM parent 106-C1. The clone was developed and released to the public by Saunders (1998). This clone is unusual because of its intense shoot regeneration and somatic embryogenesis from callus tissue. REL—2 was created as a Flindividual from a cross between an EL 45/2 individual, which was an excellent shoot regeneration monogerm genotype, and REL—1, which is an internationally used sugarbeet genetic background (Saunders 1998). REL-2 is annual, diploid, self— fertile with N cytoplasm. REL-2 is heterozygous for the annual/biennial, multigerm/monogerm, and red/green hypocotyl traits, thus being genotypically Bb,Mm,Rr. REL—2 is itself a candidate for recognition as an international standard, and 25 was chosen because the annualism it carried would accelerate genetic studies with DLM. All progenies were grown in the greenhouse under plentiful artificial lighting: high intensity sodium, incandescent and/or fluorescent lights. The seeds were planted and grown on “Bacto” professional planting mix (Michigan Peat Co., Houston TX). Watering was daily and nutrients were provided weekly with Peters fertilizer formulated as 20:20:20 N:P:K with micronutrients. Under greenhouse conditions, seeds germinated 5 to 10 days after planting into two inch square peat pots, depending mainly on seed quality, temperature, and depth of planting. Newly emerged seedlings were in numbers 1 to 3 per a single planted "seed" (dry fruit would be a more accurate term, but is not used because of clarity and consistency with some of the cited publications). At the time when recently emerged plants had reached a height of about 5 cm and 3 to 4 leaves, approximately one month after planting, multiple plants occupying the same peat pot were separated or "split" to individual 3 inch pots. The separated plants were kept covered for 2-4 days to slow water loss until the plants became established. Very few plants were lost during the procedure. All plants were grown for at least 4 months before phenotypic classification for DLM and WT was done. 26 Isolation for controlled self—pollination of F2 and F2 individuals, and for cross-pollination of F2 individuals backrossed onto P1, was achieved by placing a white paper bag over staked flower stalks, immediately prior to first flower opening. The bags were shaken every few days in order to increase pollen movement inside. After from one to one and a half months the bags were removed, and the tips of floral branches were clipped immediately above the youngest swollen seeds on each branch. Seeds were ripened on plants for an additional month and then hand harvested. F2 seed from 106-C1 X REL-2 was generated in 1995. More than 120 F1 seedlings were started in the greenhouse the same year by Dr. Saunders. Those F2 plants were grown for about a year, and 22 of the plants were grown for more than two and a half years, being observed for presence of the DLM and the annual/biennial trait. Annual plants bolted under the greenhouse environment. Biennial plants, that is, those not spontaneously flowering in the greenhouse, were placed in a cold room at 4 °C under incandescent lights for at least 10 weeks in order to be vernalized, then were returned to the greenhouse for flowering under incandescent lighting or natural long days. In 1997 and 1998, 22 F2 plants were used for further progeny analysis. Both self-fertility/self—sterility and annualism/biennialism segregated in the F2 generation. Only 27 self-fertile F2 plants were used in further generations for inheritance studies. With respect to the annual/biennial trait, 13 plants were biennial (bb), 4 were annual (B—), and 5 were unrecorded for the trait. Seventeen self-pollinated F2 plants produced seed of 17 respective F2 families, which were planted to obtain segregation ratios in the F2(Sl) families. The number of plants from each of the 17 F2 families ranged from 18 to 198, with an average of about 92, standard deviation (OX) of 56.3 and total of 1568 plants (Table 2.1). Furthermore, 13 BC1 families were generated by backrossing each of 13 different F2 individuals to ramets of the original DLM parent, 106—C1. Ten F1 individuals, of the 22 used to produce seed, were thus each in production of both types of progenies: BCl and F2. The number of plants per BCl family“was from 33 to 91, with an average of about 64, standard deviation of 16.2 and total of 833 plants. Ten F3 families were generated by self—pollination (i.e., as S2 generation) from 2 F1 individuals (Table 2.1). Five F3 families, derived from self-pollination of F2 WT individuals, had 30—79 plants per family, with an average of 44 plants, standard deviation of 18.9 plants, and total of 220 plants. Five F3 families, derived from self-pollination of F2 DLM individuals, had 22 to 50 plants per family, with average of about 41 plants, standard deviation of 10.3 28 plants and total of 203 plants. WT controls were over 20 ramets and 67 81 individuals from REL-2 (Table 2.2). DLM controls were over 40 ramets of 106-C1 (Table 2.2). All WT and DLM control progenies were always grown under the same environment, either greenhouse or growth chamber. Chi-square analysis was used for determining the probability of fit between the observed and the tested segregation ratios for various models of inheritance in F2, F3, and BC1 families (Srb et al., 1952). The chi-square for all classes was calculated by the formula x%%ZH(observed— expected number)—HQ]2/expected number} (Strickberger, 1968). Each chi-square value has a probability of occurrence, which depends on the number of degrees of freedom (df) (Srb et al., 1952, Strickberger, 1968). If the probability of a chi- square calculated from segregation data is smaller than the corresponding probability that the deviation from the tested ratio is 1/2o(0.05), it is generally accepted that the deviation is non-significant (NS) and that the observed ratio "fits" the expected (tested) ratio. On the contrary, if the calculated chi-square is greater than corresponding probability that the deviation from expected ratio is 590 (0.05), it is generally accepted that the deviation is significant [** if (<0.01), or * if (0.0120 106-C1 DLM shoot culture cloning >40 49 Table 2.3.a Chi-square tests for 3:1 (12:4) (WT:DLM) segregation ratio in F2families. Family F Jr a” a“ 7“ P5 -3 113 13“ 28.30“ -15.30 10.32 <0.01 ** 100‘p 84.80” 15-30 -6 97 17 24.30 -7.30 2.54 >0.05 NS“ 80 72.80 7.30 -8 144 19 36.00 -17.00 10.08 (<0.01 ** 125 108.00 17.00 -11 114 16 28.50 -12.50 6374 <0.01 ** 98 85.50 12.50 -15 78 5 19.50 -l4.50 13.40 <0.01 ** 73 58.50 14.50 —18 135 2 33.80 -31.80 .38.66 <0.01 ** 133 101.30 31.80 -20 198 40 49.50 -9.50 2.18 I>0.05 NS 158 148.50 9.50 -21 197 0 49.30 -49.30 64.42 <0.01 ** 197 147.80 49.30 -33 99 11 24.80 -l3.80 9.51 <0.01 ** 88 74.30 13.80 -34 121 22 30.30 —8.30 2.68 >0.05 NS 99 90.80 8.30 -38 18 0 4.50 —4.50 4.74 <0.05 * 18 13.50 4.50 -71 47 12 11.80 0.30 0.00 I>0.99 NS 35 35.30 -0.30 -81 32 5 8.00 -3.00 1404 :>0.20 NS 27 24.00 3.00 -88 30 8 7.50 0.50 0.00 2>0.99 NS 22 22.50 -0.50 -90 22 4 5.50 -1.50 0.24 2>0.50 NS 18 16.50 1.50 -99 102 17 25.50 -8.50 3.35 >0.05 NS 85 76.50 8.50 -100 21 4 5.30 -1.30 0.16 >0.50 NS 17 15.80 1.30 I Number of plants. h Observed number. n Expected number. x o-e. * x2=2(d-1/2)2/e. 5 df=1. & DLM. 9 WT. 1 Non-significant deviation of observed to expected ratio. 50 Table 2.3.b Chi-square tests for 9:7 (WT:DLM) segregation ratio in F2families. Family Nf ch .21 dx 2 * PS -3 113 13¢ 49.40& -36.40 46.35 <0.01 ** 1004 63.60‘p 36 40 -6 97 17 42.40 —25.40 25.98 <0.01 ** 80 54.60 25.40 -8 144 19 63.00 —44.00 53.40 (<0.01 ** 125 81.00 44.00 -11 114 16 49.90 -33.90 39.76 <0.01 ** 98 64.10 33.90 -15 78 5 34.10 -29.10 42.62 (<0.01 ** 73 43.10 29.10 -18 135 2 59.10 -57 10 96.41. <0.01 ** 133 75.90 57.10 -20 198 40 86.60 —46.60 43.62 {<0.01 ** 158 11.40 46.60 -21 197 0 86.20 -86.20 151.49 <0.01 ** 197 110.80 86.20 -33 99 11 43.30 —32.30 41.51 <0.01 ** 88 55.70 32.30 -34 121 22 52.90 -3o.9o 31.04 <0.01 ** 99 68.10 30.90 -38 18 0 7.90 —7.90 12.35 (<0.01 ** 18 10.10 7.90 -71 47 12 20.60 —8.60 5.67 <0.05 * 35 26.40 8.60 -81 32 5 14.00 -9.00 9.17 (<0.01 ** 27 18.00 9.00 -88 30 8 13.10 -5.10 2.87 :>0 05 Ns‘ 22 16.90 5.10 -90 22 4 9.60 -5.60 4.81 <0.05 * 18 12.40 5.60 -99 102 17 44.60 -27.60 29 26 <0.01 ** 85 57.40 27.60 -100 21 4 9.20 -5.20 4.27 <0.05 * 17 11.80 5.20 I, Number of plants. h Observed number. n Expected number. N o-e. * x2=2(d—1/2) 2/e. 9 df=1. * DLM. 9 WT. ‘l Non-significant deviation of observed to expected ratio. 51 Table 2.3.c Chi-square tests for 10:6 (WT:DLM) segregation ratio in F2families. Family NI oh 621 d“ 5* PS -3 113 13“ 42.405 -29.40 31.53 <0.01 ** 100: 70.60¢ 29-40 -6 97 17 36.40 —19.40 15.71 <0.01 ** 80 60.60 19.40 -8 144 19 54.00 -35.00 35.27 '<0.01 ** 125 90.00 35.00 -11 114 16 42.80 —26.80 25.79 <0.01 ** 98 71.30 26.70 -15 78 5 29.30 -24.30 30.84 <0.01 ** 73 48.80 24.20 -18 135 2 50.60 —48.60 73.14 <0.01 ** 133 84.40 48.60 -20 198 40 74.30 -34.30 24.55 ‘<0.01 ** 158 123.80 34.20 -21 197 0 73.90 -73.90 116.67 <0.01 ** 197 123.10 73.90 -33 99 11 37.10 -26.10 28.25 ‘<0.01 ** 88 61.90 26.10 -34 121 22 45.40 —23.40 18.49 <0.01 ** 99 75.60 23.40 -38 18 0 6.80 —6.80 9.24 (<0.01 ** 18 11.30 6.70 -71 47 12 17.60 -5.60 2.36 >0.05 NS‘ 35 29.40 5.60 -81 32 5 12.00 -7.00 5.63 (<0.05 * 27 20.00 7.00 -88 30 8 11.30 -3.30 1.08 >0.20 NS 22 18.80 3.20 -90 22 4 8.30 -4.30 2.73 >0.05 NS 18 13.80 4.20 -99 102 17 38.30 -21.30 18.01. <0.01 ** 85 63.80 21.20 -100 21 4 7.90 -3.90 2.35 >0.05 NS 17 13.10 3.90 I Number of plants. h Observed number. n Expected number. x o-e. * X2=2(d"1/2)2/e. 5 df=1. 0‘ DLM. ° WT. ‘1 Non-significant deviation of observed to expected ratio. 52 Table 2.3.d Chi-square tests for 13:3 (WT:DLM) segregation ratio in F2families. Family Nf oh .2‘ d“ x5 * P5 -3 113 13‘ 21.20& —7 00 3.44 >0.05 ms'I 100” 91.80° 7-00 -6 97 17 18.20 -0.70 0.03 I>0.80 NS 80 78.80 0.70 -8 144 19 27.00 -7.50 2.56 >0.05 NS 125 117.00 7.50 -11 114 16 21.40 —4.90 1.38 >0.20 NS 98 92.60 4.90 -15 78 5 14.60 -9.10 6.98 ‘<0.01 ** 73 63.40 9.10 -18 135 2 25.30 22.80 25u29 <0.01 ** 133 109.70 22.80 -20 198 40 37.10 2.40 0.19 >0.50 NS 158 160.90 -2.40 -21 197 0 36.90 36.40 44.18 (<0.01 ** 197 160.10 36.40 -33 99 11 18.60 -7.10 3.34 >0.05 NS 88 80.40 7.10 -34 121 22 22.70 —0.20 0.00 :>0.99 NS 99 98.30 0.20 -38 18 0 3.40 —2.90 3.05 :>0.05 NS 18 14.60 2.90 -71 47 12 8.80 2.70 1.02 .>0.20 NS 35 38.20 —2.70 -81 32 5 6.00 -0.50 0.05 I>0.80 NS 27 26.00 0.50 -88 30 8 5.60 1.90 0.79 >0.20 NS 22 24.40 —1.90 -90 22 4 4.10 0.40 0.05 >0.50 NS 18 17.90 -0.40 -99 102 17 19.10 -1.60 0.16 >0.50 NS 85 82.90 1.60 -100 21 4 3.90 -0.40 0.05 >0.80 NS 17 17.10 0.40 If Number of plants. h Observed number. 3 Expected number. x o-e. * x2=2(d-1/2)2/e. 5 df=1. & DLM. ‘9 WT. a Non-significant deviation of observed to expected ratio. 53 Table 2.3.e Chi—square tests for 15:1 (WT:DLM) segregation ratio in F2families. Family NI oh 621 d” 2* PS -3 113 13& 7.1057 5.90 4.38 <0.05 * 1004 105.909 -5 90 -6 97 17 6.10 10.90 18.92 3<0.01 ** 80 90.90 10.90 -8 144 19 9.00 10.00 10.70 1<0.01 ** 125 135.00 10.00 -11 114 16 7.10 8.90 10.60 3<0.01 ** 98 106.90 -8.90 -15 78 5 4.90 0.10 0.03 >0.80 NS)1 73 73.10 -0.10 -18 135 2 8.40 -6.40 4.42 <0.05 * 133 126.60 6.40 -20 198 40 12.40 27.60 63.18 ‘<0.01 ** 158 185.60 27.60 -21 197 0 12.30 12.30 12.07 <0.01 ** 197 184.70 12.30 -33 99 11 6.20 4.80 3.18 >0.05 NS 88 92.80 —4.80 -34 121 22 7.60 14.40 27.13 <0.01 ** 99 113.40 14.40 -38 18 0 1.10 -1.10 0.35 >0.50 NS 18 16.90 1.10 -71 47 12 2.90 9.10 27.18 <0.01 ** 35 44.10 —9.10 -81 32 5 2.00 3.00 3.33 >0.05 NS 27 30.00 -3.00 -88 30 8 1.90 6.10 17.62 (<0.01 ** 22 28.10 -6.10 -90 22 4 1.40 2.60 3.36 >0.05 NS 18 20.60 -2.60 -99 102 17 6.40 10.60 17.01. <0.01 ** 85 95.60 10.60 -100 21 4 1.30 2.70 3.97 <0.05 * 17 19.70 —2.70 I Number of plants. h Observed number. n Expected number. x o-e. * x2=2(d-1/2)2/e. 5 df=1. & DLM. ‘P WT. a Non-significant deviation of observed to expected ratio. Table 2.3.f Chi-square tests for 1:1 (WT:DLM) segregation ratio in Bleamilies. Family IfF oh 321 dx {1* PT -1 53 15‘ 26.50& —11 50 8.96 <0.01 ** 38° 26.50” 11 50 -3 60 25 30.00 -5.00 1.35 >0.20 NS‘1 35 30.00 5.00 -6 91 49 45.50 3.00 0.39 >0 50 NS 42 45.50 —3.00 -8 69 36 34.50 1.00 0.06 >0 80 NS 33 34.50 -1.00 -11 77 35 38.50 —3.00 0.46 >0.20 NS 42 38.50 3.00 -18 67 17 33.50 -16.00 15.06 <0.01 ** 50 33.50 16.00 -19 64 22 32.00 -9.50 5.64 (<0.05 * 42 32.00 9,50 -20 80 40 40.00 0.50 0.01 >0.80 NS 40 40.00 —0.50 -21 33 7 16.50 -9.00 9.53 <0.01 ** 26 16.50 9.00 -71 77 32 38.50 -6.00 1.85 >0.05 NS 45 38.50 6.00 -81 63 30 31.50 -1.00 0.06 >0.80 NS 33 31.50 1.00 -89 76 33 38.50 -4.50 1.07 >0 20 NS 43 38.50 4.50 -99 67 26 33.50 -7.00 2.88 .>0.05 NS 41 33.50 7.00 * Number of plants. h Observed number. 3 Expected number. x o-e. * x2=z(d-1/2) 2/e. 5 df=1. & DLM. ° WT. ‘l Non-significant deviation of observed to expected ratio. 55 Table 2.3.g Chi—square tests for 3:1 (WT:DLM) segregation ratio in BC1families. Family Nf oh an d.“ {5* PS -1 53 15° 13.30‘ 1.80 0.17 >0.50 NsTI 38° 39.80° -1 80 -3 60 25 15.00 10.00 8.02 '<0.01 ** 35 45.00 -10.00 -6 91 49 22.80 26.30 38.94 <0.01 ** 42 68.30 -26.30 -8 69 36 17.30 18.80 25.82 <0.01 ** 33 51.80 -18.80 -11 77 35 19.30 15.80 16.18 <0.01 ** 42 57.80 -15.80 -18 67 17 16.80 0.30 0.00 >0.99 NS 50 50.30 -0.30 -19 64 22 16.00 6.00 2.52 .>0.05 NS 42 48.00 -6.00 -20 80 40 20.00 20.00 25.35 <0.01 ** 40 60.00 -20.00 -21 33 7 8.30 ~1.30 0.10 >0.50 NS 26 24.80 1.30 -71 77 32 19.30 12.80 10.46 <0.01 ** 45 57.80 —12.80 -81 63 30 15.80 14.30 16.08 <0.01 ** 33 47.30 -14.30 -89 76 33 19.00 14.00 12.79 <0.01 ** 43 57.00 -14.00 -99 67 26 16.80 9.30 6.15 <0.05 * 41 50.30 -9.30 I Number of plants. h Observed number. n Expected number. x o-e. * x2=2(d-1/2)2/e. 5 df=1. & DLM. 8 WT. a Non—significant deviation of observed to expected ratio. 56 Table 2.3.h Chi-square tests for 1:3 (WT:DLM) segregation ratio in BC1families. 57 Family NT oh 3” dx i“ P5 -1 53 15& 39.80° —24 80 59.23 <0.01 ** 38° 13.30° 24 80 -3 60 25 45.00 —20.00 33.80 (<0.01 ** 35 15 00 20 00 -6 91 49 68.30 3—19.30 20.68 <0.01 ** 42 22.80 19.30 -8 69 36 51 80 —15.80 18.05 (<0.01 ** 33 17.30 15.80 -11 77 35 57.80 —22.80 34.47 (<0.01 ** 42 19.30 22.80 -18 67 17 50.30 —33.30 85.43 (<0.01 ** 50 16.80 33.30 -19 64 22 48.00 -26.00 54.19 <0.01 ** 42 16.00 26.00 -20 80 40 60.00 -20.00 25.35 <0.01 ** 40 20.00 20.00 -21 33 '7 24.80 -17.80 48.13 <0.01 ** 26 8.30 17.80 -71 77 32 57.80 -25.80 44.24 <0.01 ** 45 19 30 25.80 -81 63 30 47.30 -17.30 23.83 <0.01 ** 33 15.80 17.30 -89 76 33 57.00 —24.00 38.75 (<0.01 ** 43 19.00 24.00 -99 67 26 50.30 -24.30 44.98 ‘<0.01 ** 41 16.80 24 30 I Number of plants. h Observed number. m Expected number. N o-e . * x2=>:(d-1/2) 2/e. 5 df=1. ° DLM. ° WT. Table 2.3.1 Chi-square tests for 5:3 (WT:DLM) segregation ratio in BC1families. Family NI ch .21 d” x51: P5 -1 53 15& 19.9o° —4 90 1.56 >0.20 Ms‘r 38° 33.10° 4-90 -3 60 25 22 50 2.50 0.28 >0.50 NS 35 37.50 -2 50 -6 91 49 34.10 14.90 9.73 -<0.01 ** 42 56.90 -14.90 -a 69 36 25.90 10.10 5.70 <0.05 * 33 43.10 —1o.10 -11 77 35 28.90 6.10 1.74 >0.05 NS 42 48.10 -6.10 -18 67 17 25.10 —8.10 3.68 >0.05 NS 50 41.90 8.10 -19 64 22 24.00 -2 00 0.15 :>0.50 NS 42 40.00 2.00 -20 80 40 30.00 10.00 4.81. <0.05* 40 50.00 -10.00 -21 33 7 12.40 -5.40 .3.10 >0.05 NS 26 20.60 5.40 -71 77 32 28.90 3.10 0.37 :>o.50 NS 45 48.10 -3 10 -31 63 30 23.60 6.40 2.36 :>0.05 NS 33 39.40 -6.40 -89 76 33 28.50 4.50 0.90 >0.20 NS 43 47.50 -4 50 -99 67 26 25.10 0.90 CLCH. >0.80 NS 41 41.90 -0.90 Number of plants. Observed number. Expected number. o-e. x2=20.05 Ns‘ 52° 59.25° -7-25 -20®-‘7A WT 30 9 7.50 1.50 0.18 >0.50 NS 21 22.50 -1.50 -20®-34CA WT 32 12 8.00 4.00 2.04 >0.05 NS 20 24.00 -4.00 -20®-18A WT 49 11 12.25 —1.25 0.06 >0.80 NS 38 36.75 1.25 -2o<8>-7 WT 30 6 7.50 —1.50 0.18 >0.50 NS 24 22.50 1.50 -11®-14 DLMIr 47 42 11.75 30.25 100.43 <0.01 ** 5 35.25 -30.25 -11®-18A DLM 47 40 11.75 28.25 87.38 <0.01 ** 7 35.25 -28.25 -20®-6 DLM 37 37 9.25 27.75 107.04 <0.01 ** O 27.75 -27.75 -20®-8 DLM 50 50 12.50 37.50 146.03 <0.01 ** O 37.50 -37.50 -20®-25A DIM 22 22 5.50 16.50 62.06 <0.01 ** O 16.50 -16.50 F2 individual from which F2 family is derived. F2 individual plant from which F2 family is derived. Planting batch. Number of plants. Observed number. Expected number. o-e. x2=2(d—1/2) 2/e. df=1. DLM. WT. Phenotype of the F2 parent of the F3 family. Non-significant deviation of observed to expected ratio. m0.99 NSF 5 0.00 5.00 -11®-18A um 47 40 47.00 -7.00 - 7 0.00 7.00 -20®-6 DLM 37 37 37.00 0.00 >0.99 NS 0 0.00 0.00 -20®-s um 50 50 50.00 0.00 >0.99 NS 0 0.00 0.00 -20®-25A DLM 22 22 22.00 ' 0.00 >0.99 NS 0 0.00 0.00 «ehm*xg:+¢‘0< 11' hi F2 individual from which F2 family is derived. F2 individual plant from which F2 family is derived. Planting batch. Number of plants. Observed number. Expected number. o—e. x2=2(d-1/2) 2/e. df=1. DLM. WT. Phenotype of the F2 parent of the F2 family. Chi-square can not be calculated for a class when the frequency of any category is 0. Non-significant deviation of observed to expected ratio. 61 Table 2.3.m Chi-square tests for 13:3 (WT:DLM) segregation ratio in F2 families. -11°®-10°A°WT7 79 27° 14.81“ 12.19 11.35 <0.01 ** 52° 64.19° -12-19 -20®-7AWT 30 9 5.63 3.38 1.81 >0.05 NS! 21 24.38 -3.38 -20®-34CAW‘1' 32 12 6.00 6.00 6.21 <0.05 * 20 26.00 -6.00 -20®-18AWT 49 11 9.19 1.81 0.23 >0.50 NS 38 39.81 —1.81 -20®-7W'1' 30 6 5.63 0.38 0.00 >0.99 NS 24 24.38 -0.38 -11®-14 DLM' 47 42 8.81 33.19 149.22 <0.01 ** 5 38.19 -33.19 -1l®-18A DLM 47 40 8.81 31.19 131.52 <0.01 ** 7 38.19 -31.19 -20®-6 DLM 37 37 6.94 30.06 155.04 <0.01 ** 0 30.06 -30.06 -20®-8 DLM 50 50 9.38 40.63 211.37 <0.01 ** O 40.63 -40.63 -20®-25A DLM 22 22 4.13 17.88 90.07 <0.01 ** O 17.88 -17.88 F2 individual from which F2 family is derived. F2 individual plant from which F2 family is derived. Planting batch. Number of plants. Observed number. Expected number. o-e. x2=2(d-1/2) Z/e. df=1. DLM. WT. Phenotype of the F2 parent of the F3 family. Non-significant deviation of observed to expected ratio. nflfifllmfixggqnea 62 Table 2.3.n Chi—square tests for 1:3 (WT:DLM) segregation ratio in F2 families. Family NI oh 321 dIt 1* PS -11'8>-10T°WTi 79 27° 59.25° -32.25 68.05 <0.01 ** 52° 19.75° 32 25 -20®-7AW'1‘ 30 9 22.50 -13.50 30.04 <0.01 ** 21 7.50 13.50 -20®-34CAWT 32 12 24.00 -12.00 22.04 <0.01 ** 20 8.00 12.00 -20®-18AW'1' 49 11 36.75 -25.75 69.39 <0.01 ** 38 12.25 25.75 -20®-7 WT 30 6 22.50 —16.50 45.51 <0.01 ** 24 7.50 16.50 -11®-14 13m" 47 42 35.25 6.75 4.43 <0.05 * 5 11.75 -6.75 -11®-18A DLM 47 40 35.25 4.75 2.05 >0.05 NSI 7 11.75 -4.75 -20®-6 DLM 37 37 27.75 9.25 11.04 <0.01 ** 0 9.25 -9.25 -20®-8 DLM 50 50 37.50 12.50 15.36 <0.01 ** 0 12.50 —12.50 -20®-25A DLM 22 22 16.50 5.50 6.06 <0.05 * 0 5.50 -5.50 7 F2 individual from which F2 family is derived. I F3 individual plant from which F2 family is derived. ‘ Planting batch. I Number of plants. h Observed number. a Expected number. x o-e. I x2=2(d-1/2)2/e. 5 df=1. & DLM. 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I . D . & Flt F2I 3C1? -3 AaBb AaBb AaBB AaBb -6 AaBB AaBb AaBB AaBb AaBB AaBb -8 AaBB? AaBb? AaBb AaBB -11 AaBb AaBb AaBB AaBb -18 Aabb Aabb Aabb -20 AaBB AaBB AaBb AaBB -21 Aabb Aabb AaBb Aabb -71 AaBB AaBb AaBB AaBb AaBB AaBb -81 AaBB AaBb AaBB AaBb AaBB AaBb -99 AaBB AaBb AaBB AaBb AaBB AaBb I A, a; B, b alleles at AaBb (based on segregation in F2 family), aaBB (based on segregation in BC1 family) & F1 individuals from 106-C1 X REL-2 cross. respectively. I F2 genotype of (106-C1 X REL-2)-8 is: or generic symbols for dominant and recessive Dlml and Dlm2 loci, Table 2.5.b Proposed lineage of F2 families, based on their segregation ratios (Tables 2.3.j-n). 106 x REL-2* F1® -11® AaBb® -20® AaBB® l l i l 1 -10A WT® AaBB -'7 WT® AaBB -7A WT® AaBB -34CA WT® AaBB -18A WT® AaBB F2 -14A DLM® aaBb -6 DLM® aaBB -18A DLM® aaBb -8 DLM® aaBB -25A DLMO aaff I A, a; B, b generic symbols for dominant and recessive alleles at Dlm2 and Dlm2 locus, Underlined are DLM genotypes. 67 respectively. Figure 2.1.a DLM phenotype of an F2 plant in the form of water-soaked spots on foliage. Figure 2.1.b DLM phenotype of an F2 plant in the form of necrotic lesions on foliage. 68 Figure 2.2 Monogenic recessive segregation ratios in F1, F2; 5'3: 3C1: and in 81 of P2 if no phenotypic segregation for DLM is observed in F1. Underlined are proposed DLM genotypes. Scheme of generations Genotypic frequenciess Parents 106-C1 (DLM): REL-2 (WT): _a_g_ AA 106-C1 X REL-2 22 X AA 4 l F1 A3 1/1 DLM=O% F1 Aa l8 to F2 AA 1/4 Aa 2/4 §§_1/4 DLM=25% F2 .AA.1/4 .Aa 2/4 aa 1/4 18 lo $8 “to :5 AA 1/1 (1m AA 1/4 (2/16) 23 1/1 W.) Aa 2/4(4/nfl .22 1/4 (2/16) DLM=O% DLM=25% DLM=100% 106-Cl X F1 32 X Aa l 13c1 Aa 1/2 fig 1/2 DLM=SO% REL-2 AA is 18 S1 ILA 1/1 DLM=O% 5 A, a; B, b generic symbols for dominant and recessive alleles at Dhm and Dlm2lrmj, respectively. 69 Figure 2.3.a All possible digenic segregation patterns in F2 generation, if 106-C1 is aa-- genotype, and REL-2 is A---§.'Underlined are DLM genotypes. REL-2 AABB AABb AaBB AaBb AAbb Aabb 106~C1 aabb AaBb 1/1 AaBb Aabb 1/1 bb /2 Aabb 1 2 11812 AaBB 1/2 AaBB AaBb 1/2 AaBb 1/2 AaBb Aabb 1/2 Aabb aaBB AaBB 1/1 AaBB AaBb 1/1 2 AaBb Crossed out are aa-— because there was no segregation for DLM in F2 families. § A, a; B, b generic symbols for completely dominant and recessive alleles at Dlm1 and Dlm2 loci, 7O (DLM) genotypes in.F2 families, respectively. Figure 2.3.b Expected digenic segregation ratios in F2 generation, if 106-C1 is aaBb genotype, REL-2 is AMflfifi, and DLM does not segregate in F1 generation. Underlined are DLM genotypes. (F1) AaBB§ (F1) AaBb (F1) Aabb $8 $8) $8 AABB 1/, AABB 1/16 AAbb 1/, AaBB 2/, AABb 2/16 Aabb 2/, m5 AaBB 2/16 aabb 1/4 AaBb 4/16 AAbb 1/16 Aabb HQ, 1 1.6 2 1.6 aabb HQ, DLM=25% DLM=18.75% DLM=O% I A, a; B, b generic symbols for completely dominant and recessive alleles at Dlm1 and Dlm2 loci, respectively. 71 Figure 2.3.c generation, Expected digenic segregation ratios in BC1 if 106-Cl is aaB— genotype, is AABba and DLM does not segregate in the F1 generation. Underlined are DLM genotypes. . 106-C1 \ aaBb eeBB (106-c1) (FJ (106-c1) (FJ aaBB x AaBB ang X AaBB i J, AaBB 1/2 AaBB AaBB 1/, 223341: AaBb 1/, new, aaBb—11.3 DLM=50% DLM=50% (106-C1) (Ffl (106-c1) (FJ aaBb X AaBb aaBB X AaBb l l AaBB 1/8 AaBB V, AaBb 2/8 AaBb V, AaBb Aabb 1/8 WA 1 3 483317.11, 2 fl aabb U2 DLM=37.5% DLM=50% (106-C1) (FJ (106-C1) (FJ gng X Aabb 3353 X Aabb l l AaBb 1/, AaBb 1/2 Aabb Aabb 1/, flaw; 383L113 aabb HQ DLM=25% DLM=50% § A, a; B, b generic symbols for completely dominant and recessive alleles at Dlm1 and Dlm2 loci, 72 respectively. REL—2 Figure 2.3.d Expected digenic segregation patterns in F3 generation, if 106-C1 is aaBb genotype, REL—2 is AABUI and DLM does not segregate in F1 generation. Underlined are DLM genotypes. F2 AABB F2 AABb F, AaBB 18 l8 l8 AABB V1 AABB V, AABB V, AABb V, AaBB V, AAbb 1/. mu, DLM=0% DLM=0% DLM=25% F2 AaBb F2 AAbb F2 Aabb l8 l8 l8 AABB V16 AAbb V1 AAbb V, AABb V,, Aabb V, AaBB 2/16 aabb 1/, AaBb V,6 AAbb V16 AAbb V1, 1 1.6 2 1.6 aabb 1/16 DLM=18.75% DLM=0% DLM=0% F2 aaBB Fzgng F2 aabb $8 18 ~L® 9.58m, 52.215111, aabb V. 812m, aabb 1/, DLM=100% DLM=75% DLM=O% 5 A, a; B, b generic symbols for completely dominant and recessive alleles at Dlnh and Dlng loci, respectively. 73 .Hovofi o>fimnooou Dadomonofi Haw modafifidm Hum one uh nookuon sudden uoomnomg 4 w seesaw «m as snow on mm on ma as m o P — — — o I as H~.e % I U m~.H e on m o T. u n - om m I mm.sH m s 0 e T. we own «w «H - o... M. m¢.¢a O om.on ww.ma ‘ .I. em.ma o om w 0 Nm~MH om .Hum .m> «h Ga omuunouuom coaummwumou tan ¢.N ohfimfih & SAG bnwuvaNMNNNHNONmHmHhHmeHwHMHNHHHOH m w b m m ¢ m N H o _ _ _ _ _ _ no 991nm; 3:! :0 'ON $33333» .336156353458 e5 .ANEEAESEAEEHE . AufiHn\ufiHnnflfiHu\Hfiae moguo‘nom Hm fiouu nofiummoumom 9.2396 mo owumwuouomumno who one: vampire 30 on.» 33..” Jim Ugoumv panama—Ohm ooh—An. .umfifiwfium «h a.“ womanoflvonu nowummoumou San mo coauanfluumwu hodosbonh m . a 053m 75 CHAPTER THREE INTERCELLULAR FLUID PROTEIN OF A DISEASE LESION MIMIC IN SUGARBEET (BETA VULGARIS L.) 76 INTRODUCTION In many cases, systemic acquired resistance (SAR) to disease, and the hypersensitive response (HR), are induced when the products of a pathogen's avr genes are recognized by the products of the R genes of a resistant plant, in what can be viewed as a form of allelic interaction (Dietrich et al., 1997). In that interaction, an avr gene conditions the avirulent phenotype of the pathogen, and the R allele is responsible for the resistance of the plant, as currently articulated in the theory of "gene to gene resistance" (Staskawicz et al., 1995). Physiological and molecular responses thought to be coordinated with HR include: a) a rapid oxidative burst (Tenhaken et al., 1995), b) ion exchanges and fluxes (Staskawicz et al., 1995), c) strengthening of the cell wall by lignification, by accumulation of appositions, and by early accumulation of phenolic compounds (Nicholson et al., 1992; Elliger et al., 1994), d) production of antimicrobial compounds known as phytoalexins (Agrios, 1997), and e) induction of a variety of pathogenesis-related (PR) proteins, such as chitinases (Staskawicz et al., 1995). Intensive production and/or accumulation of PR proteins can be induced by a) biotic agents such as necrosis-inducing 77 pathogenic viruses, bacteria, and fungi (Van Loon, 1983; B01, 1988), or b) abiotic agents such as specific chemicals: acetylsalicylic acid, amino acid derivatives such as 1- aminocyclopropane—l—carboxylic acid, salts of barium and manganese, benzoic acid, mannitol, polyacrylic acid, and salicylic acid (Van Loon, 1983; B01, 1988), and c) physiological conditions such as flowering and callus culture (Van Loon, 1983). PR proteins can be distinguished from other pathogen-induced plant enzymes because of these characteristics (B01, 1988): a) secretion by plant cells into intercellular spaces, b) protease resistance, and c) solubility at low pH. PR proteins of some categories have been found in a range of plant genera, following infection by various pathogens. Ideally PR proteins can be recognized as extra bands present compared with protein patterns of non—infected plants on polyacrylamide gels following electrophoresis, when stained with general protein stains such as Coomassie Blue (Van Loon, 1983). The majority of PR proteins are monomers, with the exception of a single dimeric type which was classified as a PR-5 (thaumatin—like) protein (Linthorst, 1991). Most PR proteins have enzymatic activity following isolation and/or separation. Several methods have been developed for visualization of specific PR proteins on polyacrylamide gels, based on their catalytic interaction with added substrates: a) chitinases (Trudel et 78 al., 1989; Pan et al., 1991; Kalix et al., 1995), and b) glucanases (Pan et al., 1991; Mathew et al., 1992). One of the most important roles of chitinases, as a category of plant PR proteins, is considered to be their involvement as a defense mechanism against pathogen attack, especially fungal pathogens (Punja et al., 1993). Chitinases are known to catalyze the hydrolysis of chitin (B-l,4-linked homopolymer of N—acetyl-n-glucosamine), a major constituent of fungal cell walls (Coolinge et al., 1993). Other substrates for plant chitinases are bacterial peptidoglycans, glyco-chitin (a soluble chitin derivative), and chitosan (Coolinge et al., 1993). Based on primary structure, three classes of chitinases have been proposed: 1, II, and III (Coolinge et al., 1993), although Nielsen et al. (1994) described a chitinase class IV, found in sugarbeet. Many chitinases are localized apoplastically. A few chitinases, such as one basic belonging to class I, are localized in vacuoles (Coolinge et al., 1993). Knowing that defense proteins accumulate in intercellular (ICF) fluid, and that their concentration increases as a plant's defenses reach a higher level (Parent et al., 1984), ICF protein investigation in DLM and wild type plants was a relevant and feasible approach for partial characterization of the disease resistance physiology of this sugarbeet DLM phenotype. Protein mobility patterns on 79 SDS PAGE gels, and protein concentration, from isolated foliar ICF of WT and DLM plants, mostly of F2 individuals from the foundational cross 106—C1 X REL-2, were determined. These tests were employed to observe consistency of relative expression of PR proteins as markers of disease resistance- related response in DLM plants, and also to ascertain if important defense proteins are constitutively more expressed in the DLM phenotype than in normal (WT) plants. 80 MATERIALS AND METHODS Plant Material Twelve cloned F2 individuals (nine WT and 3 DLM) and the DLM parent 106-C1 from the foundational cross (i.e., 106-C1 X REL-2) plus two additional DLM clones were used in the SDS PAGE separation of ICF proteins. The two clones were a) bmsr-F2—dlm-1, an independently identified DLM plant not closely related to 106-C1, but having common ancestors in the smooth root breeding germplasm, and b)'a single F2 plant from the cross (106-C1 X bmsr-F2-dlm-1) that was an intense DLM phenotype. All of the ramets (copies) were clonally propagated in vitro, which allowed repetition of the experiments, and availability of plants at the desirable growth stage at the time of sampling. Leaves were taken from plants grown in 3 inch peat pots, with 6 fully developed leaves. The growing conditions included 2 months in a growth chamber with a weekly nutrient provided, constant temperature of 68 F and continuous fluorescent lighting. 81 Intercellular Fluid (ICF) Isolation Fully expanded non-senescent leaves with petioles were excised from individual plants immediately before use. In each case, 5-7 leaves, weighing a total of 10-14 g, were washed in distilled water and placed in a 500 ml beaker, so that the leaf blades were completely submerged in water, and the petioles stuck out of the water. The beakers were placed ”.1 “ um"_‘ll_-\1 ; in a vacuum jar which was evacuated for 25 minutes, so that water would enter the intercellular spaces. Next, the leaves were taken out and separately blotted on paper towels, then rolled and placed inside 50 ml centrifuge tubes, one for each set of leaves. The tubes were centrifuged for 15 minutes at 1000g, and then an additional 5 minutes at 200g. After centrifugation, the liquid on the bottom of the tube was considered the ICF isolate. Up to 1,500 pl of ICF was obtained with a single such isolation, and this was somewhat variable. Whenever multiple isolates were obtained from the same sample of leaves (up to 4 times), the procedure was repeated starting with the immersion in the beaker of water. Measurement of Total Protein in ICF Samples The method for measuring total protein in samples was based on the binding of proteins to a specific dye (Coomassie Brilliant Blue G-250) (Bradford, 1976) whereby the protein-dye complex causes a shift of the absorption 82 maximum, proportional to the concentration of protein present. The corresponding absorbance readings were measured by a Varian Cary 50 Bio spectrophotometer at A=595 nm. To measure concentration of protein per sample, a standard curve was created, for every experiment separately, so that known (standards) and unknown (samples) protein concentrations were processed simultaneously. This was also 1.. oer-LL: A 1.: ' a way of testing that the spectrophotometer was operating ‘ .. m. I 1 normally, and that the protein assay solution (from Bio—Rad) was not non-specifically binding to other classes of molecules (e.g., carbohydrates). To create the standard curves, bovine serum albumen (BSA, Sigma Chemical Co.) was used in concentrations 0.0, 0.2, 0.6, 0.9, 1.2, and 1.5 mg ml*, each amount mixed with 1.5 ml of the Bradford reagent solution. The concentrations were plotted against the absorbance readings. Each 20 ul of ICF was mixed with the 1.5 ml of Bradford reagent solution and absorbance readings were taken immediately. Absorbance readings were converted to concentration by using the standard curve. SDS Polyacrylamide Gel Electrophoresis A reducing buffer was used to reduce protein disulfide bonds of all ICF proteins, so that the proteins were unfolded (Payne, 1976). This buffer contained 47.5% v/V dd 83 EEO, 6.25 mM TrisHCl pH 6.8, 10% vol. glycerol, 4% m/v sodium dodecyl sulfate, 5% v/v 2-mercaptoethanol, and 5% m/v bromophenol blue (Payne, 1976). Redissolving buffer was used to redissolve proteins after the freeze drying of ICF in order to adjust their concentrations. This buffer consisted of 0.01 M Na acetate in water, pH 5.0. Separation gels (12.5% acrylamide-bis) were prepared with 40% m/v acrylamide-bisacrylamide (30:0.8), 0.375 M TrisdmCl pH 8.8, 2.80% v/v dd Hg), 0.125% v/v N, N, N',N'-tetramethyl- ethylenediamine, and 0.00088% ammonium persulfate (Payne, 1976). Chitinase gels were prepared to contain 0.01% m/v glyco-chitin, as a substrate used for visualization of chitinase activity (Trudel et al., 1989). Stacking gels were prepared with 15% m/v acrylamide-bisacrylamide (30:0.8), 0.062 M Tris-HCl pH 6.8, 31.2% v/v dd H2O, 0.001% m/v sodium dodecyl sulfate, 0.25% v/V N, N, N',N'-tetramethyl- ethylenediamine, and 0.0009 m/v ammonium persulfate (Payne, 1976). Running buffer was prepared with 3% m/v Tris-base, 14.4% m/v D-glycine, 0.6% m/v sodium dodecyl sulfate, and 77% v/v dd Hg) (Payne, 1976). After mixing, gels were left to polymerize for 30-45 minutes at room temperature, prior to sample loading. For each sample, 30 ul of ICF was mixed with 10 ul of reducing buffer in 1 ml microtubes. All samples were placed in microtubes and placed in boiling water for 4 minutes to 84 “IT. 1" .._ If . T. 75 permit 2-mercaptoethanol-assisted denaturation of protein quaternary structure, thus converting proteins to linear forms. The role of SDS was to make a film on the linear protein molecules, keeping them linear during the electrophoresis process. Electrophoretic mobility of the protein molecules was size-dependent, thus smaller molecules migrated farther during the electrophoresis process. About ”I.-.“ . _ _ a . 1 ‘ r . v - .m 35 ul for each sample (ICF+reducing buffer) was loaded into V—L I each of the 10 wells on each 9X6 cm gel, respectively. In both cases involving electrophoresis, the samples contained: a) same volumes of ICF per sample, and/or b) equalized amounts of proteins in ug uld'of a sample. The electrophoretic protein apparatus was model EC142 (Savec Company). A continuous type (2 buffer chambers) of electrophoresis was run at 45 V for 12.5% polyacrylamide gels (~2 hours), and at 70 V for 15% (~2 hours) and 20% polyacrylamide gels (~3.5 hours). Protein and Chitinase Activity Staining Separation gels for visualization of general ICF protein patterns were stained in a standard solution of Coomassie Blue for two hours. Coomassie Blue is a dye that covalently binds to proteins (Schfigger et al., 1988). The solution contained 0.25% m/v Coomassie Brilliant Blue R 250, 85 45.4% v/v methanol, 9.2% v/v glacial acetic acid, and 45.15% v/v dd H2O (modified from Payne, 1976). Following that, the gels were de-stained for approximately 10 hours at room temperature, in a solution that contained 5% v/v methanol, 7.5% v/v glacial acetic acid, and 87.5% v/v dd Hg) (Payne, 1976). Gels were photographed under light from a fluorescent lamp, using the Eagle Eye II system (Stratagene Ltd.), and stored in 7% aqueous acetic acid solution. Separation gels for visualization of chitinase activity were incubated immediately after electrophoresis in 200 ml of a buffer solution (100 mM sodium acetate, pH 5.0, with 1% v/v Triton X—100) for 2 hours at 37°C. Gels were rinsed once for about a minute with dd H30 and incubated in 200 ml of a second buffer solution (500 mM TrisHCl, pH 8.9, 0.01% m/v calcofluor white), for 5 minutes in the dark at room temperature (modified from Trudel et al., 1989). Gels were stored in dd H33 and photographed under UV light, using the Eagle Eye II system (Stratagene Ltd.). 86 RESULTS Investigation of intercellular fluid (ICF) proteins was done in order to determine if the DLM phenotype differed from the WT phenotype in the expression of those proteins. A benefit of using ICF rather than total leaf protein extract is that PR proteins are specifically and easily extractable from intercellular spaces, absent of both structural proteins, including membrane and cell wall constitutive proteins, and intracellular soluble proteins (Parent et al., 1984). Three primary methods of protein comparison between WT and DLM plants were used: 1) electrophoretic separation patterns of ICF proteins on SDS PAGE gels visualized with Coomassie Blue R 250, and 2) electrophoretic localization of chitinase activity from ICF, visualized on SDS PAGE gels and 3) spectrophotometric determination of total ICF protein concentration. SDS PAGE of ICF Proteins Denaturing SDS PAGE of ICF proteins with subsequent Coomassie staining was used as a protein separation and visualization technique. Results of 5 separate SDS PAGE- based experiments were analyzed in order to compare a) general protein patterns, intensity, and their associations 87 with spectrophotometrically determined protein concentrations and b) differences in visualized chitinase activity. SDS PAGE Experiment #1 involved 12.5% polyacrylamide SDS gel, equal volumes of unadjusted ICF for each sample, stained with Coomassie Blue for visualization of total ICF protein (Figure 3.1). Lanes 1-6 represent ICF of 6 F2 WT 1*"?- Ai DA 0 (‘1' C individuals. Lanes 7 and 8 were from two DLM F2 individuals, and lanes 9 and 10 were from cloned DLM individuals not derived from the foundational cross. Protein patterns for each of the 4 DLM individuals were of higher overall staining intensity than for any the 6 WT individuals. Isolates from DLM individuals showed more intensity in at least two specific lanes: F2DLM2 (lane #8) and DLMa (lane #9) than any of isolates from the WT individuals (Figure 3.1). The lowermost stained areas on the gel are accumulated peptides and amino-acid chains, both of which are probably short and/or broken. Total staining intensity on SDS gel generally corresponded to the concentration of ICF protein measured spectrophotometrically (Table 3.1). SDS PAGE Experiment #2 included ICF from 8 plants out of the 10 used in experiment #1. Lanes were equalized for protein concentration (2 mg mlq) and run in 20% polyacrylamide SDS gel, to facilitate the differential separation of proteins with low molecular weight (i.e., the 88 ones of greatest mobility). The clearest differences between WT and DLM protein patterns were observed in a single protein band (Figure 3.2) that was visualized as an intensive one in DLM plants whereas in WT plants it was completely absent or present only as a weak protein signal. The lowermost stained areas on the gel are probably broken peptides and amino-acid chains. SDS PAGE Experiment #3 compared ICF general protein patterns between different consecutive isolates of WT and DLM plants in 12.5% polyacrylamide SDS gel. The experiment included 3 genotypes: 1) 106-C1, 2) a single DLM F2 individual, and 3) a single WT F2 individual. Four consecutive ICF isolations from the same leaves were done, and isovolumes of ICF obtained from the first, second, and fourth isolations were used in the gels (Figure 3.3). Both DLM individuals showed higher protein staining intensity than the F2 WT individual and expressed at least one specific protein band that was not present in WT samples. This band was estimated to be a protein of about 29 kDa, based on molecular weight standards run on the same gel. Consecutive ICF isolates of all genotypes had greater staining intensity and reflected greater proportionate intensity of all bands rather than individual band presence or absence, or differential intensities of specific bands. 89 SDS PAGE Experiment #4 was done to visualize protein patterns between WT and DLM individuals, in 12.5% polyacrylamide SDS gel. Four consecutive ICF isolations from comparable leaves of a single WT and a single DLM individual that was not derived from or part of the foundational cross were used to separate and visualize proteins, as well as chitinase activity (Figure 3.4). With all 4 ICF isolates from the DLM plant, the proteins stained with Coomassie Blue were much more intensive for all visible bands, than with corresponding isolates of the WT plant. Chitinase activity appeared localized in one band, which was intense for all 4 DLM samples, whereas it was barely detectable in the WT samples. Staining intensity of total protein and chitinase decreased with each consecutive flush, but there were no clear differences in the proportions of the specific bands between flushes of the same leaves. SDS PAGE Experiment #5 was a comparison of general protein patterns from ICF, and visualization of chitinase activity therein, for 4 WT F2 individuals, 2 F2 DLM individuals, and 2 DLM individuals not derived from the foundational cross. Protein concentrations of all samples were adjusted to 2 mg per one ml of sample by redissolving the ICF isolates in adequate amounts of redissolving buffer. ICF protein concentrations prior to their equalization were determined by the protein concentration assay #1, 90 corresponding with Table 3.1. Adjustment of protein concentrations allowed for visualizing differences in intensity or presence of specific protein bands, at 12.5% polyacrylamide SDS gels. Protein staining showed a clearly higher intensity of at least 2 individual bands in all DLM samples compared to WT samples (Figure 3.5). Chitinase activity visualization from ICF samples from at least three out of four DLM individuals showed conspicuous chitinase activity bands, while samples derived from all four WT individuals showed no conspicuous chitinase activity. Spectrophotometric Determination of ICF Protein Concentration Two experiments for comparing the protein concentrations in ICF of WT vs. DLM plants were done: ICF Protein Concentration Experiment #1 was done to compare single ICF isolates between WT and DLM individuals. Eight F2 individuals (six WT and two DLM), plus two individuals (bmsr-F2-dlm-1, and F2 individual #50 from the cross 106 X bmsr—F2—dlm-1) were used in the experiment. The concentration range of proteins in the ICF of F2 WT individuals was in the range 0.011 to 1.330 mg ml“, x=0.570 Ox=0.397, CV=69.6% (Table 3.1). ICF protein in the samples of the four DLM plants ranged from 0.835 to 2.190 mg 91 mld, R=l.6l, Ox=0.488, CV=30.4% (Table 3.1). The average protein concentration in ICF of DLM individuals was 2.82 times higher than the average protein concentration of the WT individuals. Yet, the protein concentration for the DLM individual with the lowest concentration was 1.59 fold lower than the protein concentration (1.33 mg mld) for the WT individual with the highest concentration. Analysis of variance (ANOVA) using the F test could not be applied, due to limited size of the experiment and lack of replication. ICF Protein Concentration Experiment #2 was a comparison of two consecutive ICF isolations from the same leaf material of the WT and DLM phenotypic categories. WT individuals were represented by three F2 and one F2 clone from the foundational cross (106-C1 X REL-2). DLM individuals were two F2 clones from the foundational cross, the DLM parent (106-C1), and one DLM clone (106 X bmsr-F2- dlm—l) that was neither derived from the foundational cross, nor closely related to 106-C1. Protein concentrations in the ICF of the four WT individuals ranged from 0.00 to 0.568 mg m1‘1, with 2:0.311 and Ox=0.203, CV=65.3% (Table 3.2). ICF protein in the samples of the four DLM plants ranged from 0.192 to 1.690 mg mld, x=0.842, Ox=0.60, CV=71.21% (Table 3.2). Average protein concentration in ICF of the DLM clones was 3.3 times greater than in that of the WT ones. The 92 protein concentration for the DLM individual with the lowest concentration (0.192 mg mld) was 3.0 fold lower than the protein concentration (0.568 mg mld) for the WT individual with the highest concentration. Analysis of variance (ANOVA) could not been applied because of limited size of the experiment and lack of replication. Both ICF protein concentration experiments were initiated as a technique for determining and adjusting protein concentrations per volume of sample, for use in SDS PAGE experiments #2, and #5, respectively. The results of both experiments showed large standard deviations and coefficients of variation, due to lack of replication of the treatments and small range of the genotypes used. A larger range of genotypes was not achieved due to limited availability of different clonal genotypes. In each experiment, mean ICF protein concentration of DLM plants was greater (2.7 and 3.3 fold) than that of WT plants. Even if not statistically testable, the total mean ICF protein concentration of DLM plants was more than twice greater than the mean ICF protein concentration of WT plants in each experiment. Overall, ICF protein including chitinase was generally several fold more abundant in leaves from DLM sugarbeet with water-soaked and/or necrotic areas than in leaves from WT plants. 93 DISCUSSION Early reports of four, and later six, novel foliar proteins visualized by polyacrylamide gel electrophoresis (PAGE) concerned tobacco plants expressing the hypersensitive response (HR) following infection with tobacco mosaic virus (TMV) (Van Loon et al., 1970; Bol, 1988). The proteins were termed "pathogenesis-related (PR)" proteins by Antoniw et al. (1980), to help classification of similar proteins, known to be a) induced upon pathogen infection, b) spread widely through the phloem to the infection sites, and c) characterized by enzymatic activity (Parent et al., 1984; Bol, 1988). Since then, similar inducible PR proteins have been reported and described in many monocotyledonous and dicotyledonous species. Inducing factors have included: necrosis-inducing pathogens, such as viruses, bacteria, and fungi, as well as a number of specific chemicals (Van Loon, 1983; Bol, 1988). Van Loon (1983) also reported induction of PR proteins in several plant species under physiological conditions such as flowering and in vitro growth on cytokinin- and auxin-rich media. 94 In the case of the sugarbeet DLM phenotype investigated in this thesis, foliar ICF protein concentration was measured, and the proteins were electrophoretically separated and visualized in the case of WT and DLM phenotypes in the same genetic background. Concentrations of total protein in ICF measured in two separate experiments were less than half from WT compared with DLM plants (Tables 3.1, 3.2). Visualization of ICF protein patterns on SDS PAGE gels indicated that DLM plants accumulated higher levels of total protein (Tables 3.1, 3.3, 3.4), but also of at least one specific protein (Figures 3.1-5). A single band or zone was visualized to be with chitinase activity (Figures 3.4.b, 3.5.b). In one case (Figures 3.4.a,b), chitinase activity was visualized as a thick intensive band and appeared to correspond to a major ICF protein band (fraction) visualized by the general protein stain (i.e. Coomassie Blue) that accounted for a large portion of the protein in the ICF. There are few reports connecting induced resistance responses and PR proteins with the DLM phenotype. Some DLM cases have constitutively elevated levels of PR gene transcripts: PR-l and PR-5 in accelerated death (ACD) mutants of Arabidopsis (Greenberg et al., 1994), PR-l in lesion simulating disease (LSD) mutants of Arabidopsis (Dietrich et al., 1994), PR-l, PR-2, PR—5 in lesion 95 simulating disease mutants of Arabidopsis (Weymann et al., 1995), and both PR-l and PR—Q (chitinase) in lesion-mimic transgenics in tobacco (Herbers et al., 1996). Thus, this present report appears to be the first, dealing with a case of DLM in a crop plant, to involve ICF total protein patterns and chitinase activity. Although ICF protein including chitinase was generally more abundant in leaves from DLM sugarbeet with water—soaked and/or necrotic areas than in leaves from WT plants, chitinase could not be used as a unique molecular marker of this sugarbeet DLM, because many leaves of WT plants contained chitinase. Because of their antimicrobial role in active defense mechanisms, PR proteins in plants have been extensivelystudied (Linthorst, 1991). A knowledge of the genetic control of either the constitutive, or of the more easily inducible PR proteins as appear to be expressed in DLM sugarbeet has prospects for use in enhancing some aspects of disease resistance in commercial sugarbeet cultivars. The possibility exists that either or both of the two Dlm loci identified here encode defense functions that have not been described yet. To realize such potential, an important step might be to genetically separate the extensive tissue damage of water- soaked and lesion areas on DLM foliage from the presence of elevated levels of PR proteins, and of other defense metabolites as well. 96 The most widely used classification of PR proteins is still that of Van Loon et al. (1987). Each of the five PR protein groups (PR-1 to PR—5) contains proteins that are serologically related, with very similar molecular weights, and with similar amino acid sequences at a "domain" at C- terminus: a) PR-la, -1b, and -1c (molecular weight 17 kDa) have been identified in at least 8 mono- and dicotyledonous plants (Linthorst, 1991), as basic and acidic monomeric proteins. Their specific function has not yet been determined. However, because of their wide-spread occurrence and high inducibility by necrotizing and non-necrotizing pathogen attack, it is thought that they have an important role in defense mechanisms, and also in general stress responses; b) PR—2a, -2b, and -2c are related acidic proteins, and two additional acidic and one basic protein have been found with different degrees of serological relationship to PR-2a, -2b, and -2c (Linthorst, 1991); it is not clear if they should be classified as PR-2 proteins, but they as well as all PR-2 proteins have expressed B-1,3- glucanase activity (Linthorst, 1991); c) PR-3a and -3b are extracellular (as are all acidic PR proteins) and protease resistant, with similar molecular weights; PR-3 proteins have chitinase activity, that is they hydrolyze chitin, a polymer of B-l,4-N—acetylglucosamine; PR-3 proteins are also reported to accumulate in some floral organs (Linthorst, 97 1991); d) PR-4 proteins are acidic with molecular weights of 13 to 14.5 kDa; proteins known as r1, r2, $1, and $2 belong to this group; all three were induced in tobacco leaves by inoculation with TMV (Linthorst, 1991); e) PR-5 proteins are referred to as thaumatin-like proteins; three distinct proteins are known in this group; two are monomers with molecular weight of 24 to 25 kDa (Van Loon et al., 1987), and the other is a dimer with subunits of about 14 kDa each; all three were found in TMV infected tobacco plants (Linthorst, 1991). PR-3 chitin-(hydrolyzing) degrading enzymes, abundant proteins found in many species, are important and well studied PR proteins. Most are 25-35 kDa monomeric proteins (Coolinge et al., 1993; Graham et al., 1994), classified into 4 different classes (I-IV). The majority of isolated chitinases function as endo-hydrolases, meaning that they catalyze hydrolysis of chitin from within that polymer (Graham et al., 1994). The presence of chitinases is developmentally controlled. In addition to their defense function(s), chitinases have a role in the inactivation of lipo—oligosaccharide signal molecules produced by some Rhizobium species (Coolinge et al, 1993), in early embryo development (Coolinge et al., 1993; Graham et al., 1994), and in pollination and sexual reproduction (Graham et al., 1994). 98 The differences in protein patterns of healthy and pathogen-infected sugarbeet tissues have been reported in several cases (Fleming et al., 1991; Rousseau—Limouzin et al., 1991; Coutts et al., 1994). Fleming et al. (1991) described tobacco-necrosis Virus (TNV)-infected sugarbeets' major intercellular leaf proteins in SDS PAGE gels. Rosseau— Limouzin et al. (1991) described total protein extracted from leaves by low pH buffers, after infection with Cercospora beticola. Once selectively isolated, the acidic and basic proteins were separated by cation and anion exchange chromatography, and visualized on polyacrylamide gels without use of SDS. Coutts et al. (1994) visualized differences in general protein patterns between a) Polymyxa betae-infected and non-infected sugarbeet seedling roots, and b) suspension cultures treated and untreated with Botrytis cinerea cell walls using two dimensional iso— electrofocusing SDS PAGE. All of the described experiments cases (Fleming et al., 1991; Rousseau-Limouzin et al., 1991; Coutts et al., 1994) confirmed major differences present in general protein patterns between healthy vs. plants infected by various pathogens. In all three experiments, infected organs and cells gave higher general protein staining intensities and also higher intensity of some individual bands, or spots. When Rousseau-Limouzin et al. (1991) compared general leaf protein patterns from a) sugarbeet 99 infected with leaf spot pathogen Cercospora beticola, with b) purified tobacco PR proteins from TMV-infected tobacco, the similarities between proteins from the infected sugarbeets and the infected tobacco plants were much greater than those between healthy and infected sugarbeet plants. The Dlm2 locus, with the dominant Dlm2 allele, more likely than the Dlm2 locus, which is homozygous recessive in DLM plants could be a PR protein locus. It's function may be in encoding for PR protein production and/or accumulation in intercellular spaces. It is more likely that Dlm2 is a early acting regulatory locus and that it's function is in regulation of expression of PR protein loci, and other defensive loci. The role of Dlml locus in the DLM phenotype is unknown, however the involvement suggests some kind of loss of function, possibly of a feedback regulatory operation. 100 Table 3.1 Spectrophotometric determination of ICF protein concentrations, experiment #1: Protein concentrations in foliar ICF of WT and DLM individuals. Genotype Protein [mg ml'l] r2 WT—J. 0. 011" F2 “2 0 . 54 0 F2 WT3 0 . 34 0 F2 WT4 1 . 330 F2 WTS 0 . 580 F2'WT6 0.620 WT Phenotypic mean 0.570 Ox=0.397 CV=69.6% F2 DLMl 0 . 835 F2 DLMZ 1 . 690 bmsr-F3-dlm-1 2 . 190 (106-C1 Xbmsr-F3-dlm-l) -50 1 . 715 DEM Phenotypic mean 1.605 Ox=0.488 CV=30.4% 101 Table 3.2 Spectrophotometric determination of ICF protein concentrations, experiment #2: Protein concentrations in foliar ICF of WT and DLM individuals for each of two flushes from the same leaves. Genotype ICF Protein [mg ml'l] isolate 2 F2-1 1 0.274 0.568 2 0.862 F2 WTl 1 0.000 0.180 2 0.359 F2 WT2 1 - 0.282 2 0.282 F2 WT3 1 0.000 0.000 2 0.000 'WT Phenotypic 0.2575 Ox=0.206 mean CV=80% 106-C1 1 1.497 1.119 2 0.741 F2 DDMl 1 1.825 1.690 2 1.554 F2 DLMZ 1 0.185 0.369 2 0.553 (106-Cl x.hmsr- 1 0.227 0.192 F3-dlm-l) -50 2 0 . 157 DLM Phenotypic 0 8425 Ox=0.600 mean CV=71.21% 102 .mmemH zen .m> as me “mouse umnu mpnmn Osweowmm OD ucflom OD mom: who m30HHm HounONfiHomo .mmOHU HMGOHDMUGSOM Eonm Doc SAG .m> mm SAG .m> am 83 mo mmUH nufi3 mmeH oumummom 0» com: mum mzonhm HMOfluHo>o H mBS mm . #83 mm . MHZ «m . NBS um . HHS mm .H .Hom Cu poflflmmm moESHo> mUH Hodge Suez .mHosvfl>Hpcfl SAD .m> Hz Eoum coxmu mUH .mcflafimum osHm oflmmmEooo mnflonHOM THHHOHQ Gofiumummom mwdm mom aflououm moH HMHHom a.m ousmwm 103 .mmouo HmcofiumpGSOM Eouw uoq Eda .m> um SAD .m> am as no mmUH Sues monH euphmmom 0» tom: one msonnm Hmofluuo>o I-i semen . MEAD «SAD um HEAD um \DPQO‘O 104 me: am semen «as am . 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