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Global genotype flow in Cercospora beticola populations confirmed through genotyping-by-sequencing.
Vaghefi, Niloofar; Kikkert, Julie R; Bolton, Melvin D; Hanson, Linda E; Secor, Gary A; Nelson, Scot C; Pethybridge, Sarah J.
Affiliation
  • Vaghefi N; School of Integrative Plant Science, Plant Pathology & Plant-Microbe Biology Section, Cornell University, Geneva, New York, United States of America.
  • Kikkert JR; Cornell Cooperative Extension, Canandaigua, New York, United States of America.
  • Bolton MD; United States Department of Agriculture-Agricultural Research Service (USDA-ARS), Red River Valley Agricultural Research Center, Fargo, North Dakota, United States of America.
  • Hanson LE; Department of Plant Pathology, North Dakota State University, Fargo, North Dakota, United States of America.
  • Secor GA; USDA-ARS, Sugar Beet and Bean Research Unit, Michigan State University, Michigan, United States of America.
  • Nelson SC; Department of Plant Pathology, North Dakota State University, Fargo, North Dakota, United States of America.
  • Pethybridge SJ; College of Tropical Agriculture and Human Resources, Department of Tropical Plant and Soil Sciences, University of Hawaii at Manoa, Honolulu, Hawaii, United States of America.
PLoS One ; 12(10): e0186488, 2017.
Article in En | MEDLINE | ID: mdl-29065114
ABSTRACT
Genotyping-by-sequencing (GBS) was conducted on 333 Cercospora isolates collected from Beta vulgaris (sugar beet, table beet and swiss chard) in the USA and Europe. Cercospora beticola was confirmed as the species predominantly isolated from leaves with Cercospora leaf spot (CLS) symptoms. However, C. cf. flagellaris also was detected at a frequency of 3% in two table beet fields in New York. Resolution of the spatial structure and identification of clonal lineages in C. beticola populations using genome-wide single nucleotide polymorphisms (SNPs) obtained from GBS was compared to genotyping using microsatellites. Varying distance thresholds (bitwise distance = 0, 1.854599 × 10-4, and 1.298 × 10-3) were used for delineation of clonal lineages in C. beticola populations. Results supported previous reports of long distance dispersal of C. beticola through genotype flow. The GBS-SNP data set provided higher resolution in discriminating clonal lineages; however, genotype identification was impacted by filtering parameters and the distance threshold at which the multi-locus genotypes (MLGs) were contracted to multi-locus lineages. The type of marker or different filtering strategies did not impact estimates of population differentiation and structure. Results emphasize the importance of robust filtering strategies and designation of distance thresholds for delineating clonal lineages in population genomics analyses that depend on individual assignment and identification of clonal lineages. Detection of recurrent clonal lineages shared between the USA and Europe, even in the relaxed-filtered SNP data set and with a conservative distance threshold for contraction of MLGs, provided strong evidence for global genotype flow in C. beticola populations. The implications of intercontinental migration in C. beticola populations for CLS management are discussed.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ascomycota / Genotype Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2017 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ascomycota / Genotype Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2017 Document type: Article Affiliation country: Estados Unidos