Abstract
Microsatellite genotyping of a large sample of isolates of Verticillium dahliae from diverse locations recently identified seven distinct genotypic clusters. However, these clusters were not put in the context of phenotypes known to be correlated with clonal lineages in V. dahliae. The objective of this study was to compare clusters defined by microsatellite markers with clonal lineages defined by single-nucleotide polymorphisms (SNPs) and vegetative compatibility groups (VCGs). Genotyping isolates known to belong to specific clonal lineages (based on SNPs) with microsatellite markers determined the correspondence of clusters and lineages. All but one cluster corresponded to a known clonal lineage, allowing analysis of correlations of phenotypes with microsatellite genotypes from other studies. As shown previously, most race 1 isolates are in lineage 2A, and most isolates with the defoliating pathotype are in lineage 1A. Phylogenetic incompatibility was used to test for recombination or homoplasy caused by hypervariable microsatellite loci; incompatibility was highly correlated with the number of alleles per locus, suggesting that homoplasy caused by parallel evolution of microsatellite alleles is the cause of incompatibility. Microsatellite genotyping of lineage 1A isolates from cotton and olive in Spain over a 29-year period revealed remarkably little variation; these markers did not mutate enough to provide insight on the spatial and temporal expansion of this clone. Overall, this study showed that microsatellite genotyping can be used to identify clonal lineages in V. dahliae, which has predictive power for inferring phenotypes of phytopathological relevance such as race and pathotype.
Original language | English (US) |
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Pages (from-to) | 76-86 |
Number of pages | 11 |
Journal | Plant Pathology |
Volume | 67 |
Issue number | 1 |
DOIs | |
State | Published - Jan 1 2018 |
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All Science Journal Classification (ASJC) codes
- Agronomy and Crop Science
- Genetics
- Plant Science
- Horticulture
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Comparison of genotyping by sequencing and microsatellite markers for unravelling population structure in the clonal fungus Verticillium dahliae. / Rafiei, V.; Banihashemi, Z.; Jiménez-Díaz, R. M.; Navas-Cortés, J. A.; Landa, B. B.; Jimenez Gasco, Maria Del Mar; Turgeon, B. G.; Milgroom, M. G.
In: Plant Pathology, Vol. 67, No. 1, 01.01.2018, p. 76-86.Research output: Contribution to journal › Article
TY - JOUR
T1 - Comparison of genotyping by sequencing and microsatellite markers for unravelling population structure in the clonal fungus Verticillium dahliae
AU - Rafiei, V.
AU - Banihashemi, Z.
AU - Jiménez-Díaz, R. M.
AU - Navas-Cortés, J. A.
AU - Landa, B. B.
AU - Jimenez Gasco, Maria Del Mar
AU - Turgeon, B. G.
AU - Milgroom, M. G.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Microsatellite genotyping of a large sample of isolates of Verticillium dahliae from diverse locations recently identified seven distinct genotypic clusters. However, these clusters were not put in the context of phenotypes known to be correlated with clonal lineages in V. dahliae. The objective of this study was to compare clusters defined by microsatellite markers with clonal lineages defined by single-nucleotide polymorphisms (SNPs) and vegetative compatibility groups (VCGs). Genotyping isolates known to belong to specific clonal lineages (based on SNPs) with microsatellite markers determined the correspondence of clusters and lineages. All but one cluster corresponded to a known clonal lineage, allowing analysis of correlations of phenotypes with microsatellite genotypes from other studies. As shown previously, most race 1 isolates are in lineage 2A, and most isolates with the defoliating pathotype are in lineage 1A. Phylogenetic incompatibility was used to test for recombination or homoplasy caused by hypervariable microsatellite loci; incompatibility was highly correlated with the number of alleles per locus, suggesting that homoplasy caused by parallel evolution of microsatellite alleles is the cause of incompatibility. Microsatellite genotyping of lineage 1A isolates from cotton and olive in Spain over a 29-year period revealed remarkably little variation; these markers did not mutate enough to provide insight on the spatial and temporal expansion of this clone. Overall, this study showed that microsatellite genotyping can be used to identify clonal lineages in V. dahliae, which has predictive power for inferring phenotypes of phytopathological relevance such as race and pathotype.
AB - Microsatellite genotyping of a large sample of isolates of Verticillium dahliae from diverse locations recently identified seven distinct genotypic clusters. However, these clusters were not put in the context of phenotypes known to be correlated with clonal lineages in V. dahliae. The objective of this study was to compare clusters defined by microsatellite markers with clonal lineages defined by single-nucleotide polymorphisms (SNPs) and vegetative compatibility groups (VCGs). Genotyping isolates known to belong to specific clonal lineages (based on SNPs) with microsatellite markers determined the correspondence of clusters and lineages. All but one cluster corresponded to a known clonal lineage, allowing analysis of correlations of phenotypes with microsatellite genotypes from other studies. As shown previously, most race 1 isolates are in lineage 2A, and most isolates with the defoliating pathotype are in lineage 1A. Phylogenetic incompatibility was used to test for recombination or homoplasy caused by hypervariable microsatellite loci; incompatibility was highly correlated with the number of alleles per locus, suggesting that homoplasy caused by parallel evolution of microsatellite alleles is the cause of incompatibility. Microsatellite genotyping of lineage 1A isolates from cotton and olive in Spain over a 29-year period revealed remarkably little variation; these markers did not mutate enough to provide insight on the spatial and temporal expansion of this clone. Overall, this study showed that microsatellite genotyping can be used to identify clonal lineages in V. dahliae, which has predictive power for inferring phenotypes of phytopathological relevance such as race and pathotype.
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U2 - 10.1111/ppa.12713
DO - 10.1111/ppa.12713
M3 - Article
AN - SCOPUS:85020188347
VL - 67
SP - 76
EP - 86
JO - Plant Pathology
JF - Plant Pathology
SN - 0032-0862
IS - 1
ER -