ArticlePloS one2017
Global genotype flow in Cercospora beticola populations confirmed through genotyping-by-sequencing.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Portable qPCR and ddPCR Diagnostics for Cercospora Leaf Spot: Integrating Field and Laboratory Detection ofJournal of fungi (Basel, Switzerland) · 2026Article
- Experimental evolution reveals genomic signatures of variety-specific selection of Cercospora beticola in Germany.Scientific reports · 2026Article
- Genome-wide Evidence of Host Specialization in Wild and Farmland Populations of the Fungal Leaf Spot Pathogen, Cercospora beticola.Genome biology and evolution · 2025Article
- Population-level whole-genome sequencing ofMicrobial genomics · 2024Article
- Cercospora leaf spot disease of sugar beet.Plant signaling & behavior · 2023Review
- An in-field heat treatment to reduceFrontiers in plant science · 2023Article
- Cercospora beticola: The intoxicating lifestyle of the leaf spot pathogen of sugar beet.Molecular plant pathology · 2020Article
- IMA Genome-F 9: Draft genome sequence ofIMA fungus · 2018Article
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Authors and funding
7 authors.
Funding
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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.
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