Abstract
Eight microsatellite markers were applied to 154 Sclerotinia sclerotiorum isolates from four Australian canola fields, to determine the extent of genetic variation and differentiation in populations of this pathogen. A total of 82 different haplotypes were identified and in each population many haplotypes were unique. Mycelial compatibility grouping, a phenotypic marker system controlled by multiple loci, was often associated with groups of identical or closely related microsatellite haplotypes. Genotypic diversity ranged from 36% to 80% of maximum in the four populations, and gene diversity ranged from 0.23 to 0.79. Genotypic disequilibrium analyses on each of the four populations suggested that both clonal and sexual reproduction contributed to population structure. Analyses based on genetic diversity and fixation indices demonstrated a moderate to high level of differentiation (RST=0.16–0.33, FST=0.18–0.23) between populations from New South Wales and those from Victoria. Despite this genetic diversity, most isolates did not vary in virulence on canola leaves.
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References
Agapow P-M, Burt A (2001) Indices of multilocus linkage disequilibrium. Mol Ecol Notes 1:101–102
Atallah ZK, Larget B, Chen X, Johnson DA (2004) High genetic diversity, phenotypic uniformity, and evidence of outcrossing in Sclerotinia sclerotiorum in the Columbia Basin of Washington State. Phytopathology 94:737–742
Auclair J, Boland GJ, Kohn LM, Rajcan I (2004) Genetic interactions between Glycine max and Sclerotinia sclerotiorum using a straw inoculation method. Plant Dis 88:891–895
Boland GJ, Hall R (1994) Index of plant hosts of Sclerotinia sclerotiorum. Can J Plant Pathol 16:93–108
Bourdot GW, Hurrell GA, Saville DJ, De Jong MD (2001) Risk analysis of Sclerotinia sclerotiorum for biological control of Cirsium arvense in pasture: ascospore dispersal. Biocontrol Sci Tech 11:119–139
Brown AHD, Feldman MW, Nevo E (1980) Multilocus structure of natural populations of Hordeum spontaneum. Genetics 96:523–536
Carbone I, Kohn LM (2001) A microbial population-species interface: nested cladistic and coalescent inference with multilocus data. Mol Ecol 10:947–964
Carpenter MA, Frampton C, Stewart A (1999) Genetic variation in New Zealand populations of the plant pathogen Sclerotinia sclerotiorum. New Zeal J Crop Hort 27:13–21
Clarkson JP, Staveley J, Phelps K, Young CS, Whipps JM (2003) Ascospore release and survival in Sclerotinia sclerotiorum. Mycol Res 107:213–222
Cubeta MA, Cody BR, Kohli Y, Kohn LM (1997) Clonality in Sclerotinia sclerotiorum on infected cabbage in eastern North Carolina. Phytopathology 87:1000–1004
Ekins M (1999) Genetic diversity in Sclerotinia sclerotiorum. PhD thesis, The University of Queensland
Estoup A, Jarne P, Cornuet JM (2002) Homoplasy and mutation model at microsatellite loci and their consequences for population genetic analysis. Mol Ecol 11:1591–1604
Glass NL, Kaneko I (2003) Fatal attraction: non-self recognition and heterokaryon incompatibility in filamentous fungi. Eukaryot Cell 2:1–8
Godoy G, Steadman JR, Dickman MB, Dam R (1990) Use of mutants to demonstrate the role of oxalic acid in pathogenicity of Sclerotinia sclerotiorum on Phaseolus vulgaris. Physiol Mol Plant Pathol 37:179–191
Goudet J (1995) FSTAT (vers. 1.2): a computer program to calculate F-statistics. J Hered 8:485–486
Hambleton S, Walker C, Kohn LM (2002) Clonal lineages of Sclerotinia sclerotiorum previously known from other crops predominate in 1999–2000 samples from Ontario and Quebec soybean. Can J Plant Pathol 24:309–315
He Y, Yang RF, Luo SQ (1987) Development and study of new rapeseed variety Zhongyou 821 with high yield and disease resistance (tolerance). Oil Crops China 2:11–15
Hey J, Won Y-J, Sivasundar A, Nielsen R, Markert JA (2004) Using nuclear haplotypes with microsatellites to study gene flow between recently separated chiclid species. Mol Ecol 13:909–919
Hind TL, Ash GJ, Murray GM (2003) Prevalence of sclerotinia stem rot of canola in New South Wales. Aust J Exp Agric 43:1–6
Kohli Y, Kohn LM (1998) Random association among alleles in clonal populations of Sclerotinia sclerotiorum. Fungal Genet Biol 23:139–149
Kohli Y, Morrall RAA, Anderson JB, Kohn LM (1992) Local and trans-Canadian clonal distribution of Sclerotinia sclerotiorum on canola. Phytopathology 82:875–880
Kohn LM, Carbone I, Anderson JB (1990) Mycelial interactions in Sclerotinia sclerotiorum. Exp Mycol 14:255–267
Kohn LM, Stasovski E, Carbone I, Royer J, Anderson JB (1991) Mycelial incompatibility and molecular markers identify genetic variability in field populations of Sclerotinia sclerotiorum. Phytopathol 81:480–485
Kull LS, Pedersen WL, Palmquist D, Hartman GL (2004) Mycelial compatibility grouping and aggressiveness of Sclerotinia sclerotiorum. Plant Dis 88:32–332
Maynard Smith J, Smith NH, O’Rourke M, Spratt BG (1993) How clonal are bacteria? Proc Natl Acad Sci USA 90:4384–4388
Merriman PR (1976) Survival of sclerotia of Sclerotinia sclerotiorum in soil. Soil Biol Biochem 8:385–389
Nei M (1987) Molecular evolutionary genetics. Columbia University, New York
Peever TL, Salimath SS, Su G, Kaiser WJ, Muehlbauer FJ (2004) Historical and contemporary multilocus population structure of Aschocyta rabiei (teleomorph: Didymella rabiei) in the Pacific Northwest of the United States. Mol Ecol 13:291–309
Phillips DV, Carbone I, Gold SE, Kohn LM (2002) Phylogeography and genotype-symptom associations in early and late season infections of canola by Sclerotinia sclerotiorum. Phytopathology 92:785–793
Schwartz H, Steadman JR (1978) Factors affecting sclerotium populations of, and apothecium production by Sclerotinia sclerotiorum. Phytopathology 68:383–388
Sirjusingh C, Kohn LM (2001) Characterisation of microsatellites in the fungal plant pathogen, Sclerotinia sclerotiorum. Mol Ecol Notes 1:267–269
Slatkin M (1995) A measure of population subdivision based on microsatellite allele frequencies. Genetics 139:457–462
Sprague S, Stewart-Wade S (2002) Sclerotinia in canola—results from petal and disease surveys across Victoria in 2001. In: Grains research and development corporation research update—southern region, Australia. Grains Research and Development Corporation, Victoria
Stoddart JA, Taylor JF (1988) Genotypic diversity: estimation and prediction in samples. Genetics 118:705–711
Weir BS, Cockerham CC (1984) Estimating F-statistics for the analysis of population structure. Evolution 38:1358–1370
Zhao J, Meng J (2003) Genetic analysis of loci associated with partial resistance to Sclerotinia sclerotiorum in rapeseed (Brassica napus L.). Theor Appl Genet 106:759–764
Acknowledgements
We thank Dr. Helen Hayden for constructive comments on the manuscript, Mr. Athol Whitten for technical assistance and Ms. Susan Sprague, Mr. Bruce Wightman, Mr. Anton Cozijnsen and Mr. Harjono for assistance with field sampling. Prof. Linda Kohn, Dr. Elizabeth Aitken, Dr. Merrick Ekins, Ms. Tamrika Hind and Dr. James Wong kindly provided S. sclerotiorum isolates. We are grateful to the Australian Grains Research and Development Corporation for financial support.
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Sexton, A.C., Howlett, B.J. Microsatellite markers reveal genetic differentiation among populations of Sclerotinia sclerotiorum from Australian canola fields. Curr Genet 46, 357–365 (2004). https://doi.org/10.1007/s00294-004-0543-3
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DOI: https://doi.org/10.1007/s00294-004-0543-3