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Population genomics of an outbreak of the potato late blight pathogen, Phytophthora infestans, reveals both clonality and high genotypic diversity
An outbreak of the potato late blight pathogen Phytophthora infestans in Denmark was characterized in order to resolve the population structure and determine to what extent sexual reproduction was occurring. A standard set of microsatellite simple sequence repeats (SSRs) and single nucleotide polymo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6640178/ https://www.ncbi.nlm.nih.gov/pubmed/31145530 http://dx.doi.org/10.1111/mpp.12819 |
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author | Maurice, Sundy Montes, Melanie S. Nielsen, Bent J. Bødker, Lars Martin, Michael D. Jønck, Carina G. Kjøller, Rasmus Rosendahl, Søren |
author_facet | Maurice, Sundy Montes, Melanie S. Nielsen, Bent J. Bødker, Lars Martin, Michael D. Jønck, Carina G. Kjøller, Rasmus Rosendahl, Søren |
author_sort | Maurice, Sundy |
collection | PubMed |
description | An outbreak of the potato late blight pathogen Phytophthora infestans in Denmark was characterized in order to resolve the population structure and determine to what extent sexual reproduction was occurring. A standard set of microsatellite simple sequence repeats (SSRs) and single nucleotide polymorphism (SNP) markers generated using restriction site‐associated DNA sequencing (RAD‐seq) were employed in parallel. A total of 83 individuals, isolated from seven different potato fields in 2014, were analysed together with five Danish whole‐genome sequenced isolates, as well as two Mexican individuals used as an outgroup. From a filtered dataset of 55 288 SNPs, population genomics analyses revealed no sign of recombination, implying clonality. In spite of this, multilocus genotypes were unique to individual potato fields, with little evidence of gene flow between fields. Ploidy analysis performed on the SNPs dataset indicated that the majority of isolates were diploid. These contradictory results with clonality and high genotypic diversity may suggest that rare sexual events likely still contribute to the population. Comparison of the results generated by SSRs vs SNPs data indicated that large marker sets, generated by RAD‐seq, may be advised going forward, as it provides a higher level of genetic discrimination than SSRs. |
format | Online Article Text |
id | pubmed-6640178 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66401782019-09-16 Population genomics of an outbreak of the potato late blight pathogen, Phytophthora infestans, reveals both clonality and high genotypic diversity Maurice, Sundy Montes, Melanie S. Nielsen, Bent J. Bødker, Lars Martin, Michael D. Jønck, Carina G. Kjøller, Rasmus Rosendahl, Søren Mol Plant Pathol Original Articles An outbreak of the potato late blight pathogen Phytophthora infestans in Denmark was characterized in order to resolve the population structure and determine to what extent sexual reproduction was occurring. A standard set of microsatellite simple sequence repeats (SSRs) and single nucleotide polymorphism (SNP) markers generated using restriction site‐associated DNA sequencing (RAD‐seq) were employed in parallel. A total of 83 individuals, isolated from seven different potato fields in 2014, were analysed together with five Danish whole‐genome sequenced isolates, as well as two Mexican individuals used as an outgroup. From a filtered dataset of 55 288 SNPs, population genomics analyses revealed no sign of recombination, implying clonality. In spite of this, multilocus genotypes were unique to individual potato fields, with little evidence of gene flow between fields. Ploidy analysis performed on the SNPs dataset indicated that the majority of isolates were diploid. These contradictory results with clonality and high genotypic diversity may suggest that rare sexual events likely still contribute to the population. Comparison of the results generated by SSRs vs SNPs data indicated that large marker sets, generated by RAD‐seq, may be advised going forward, as it provides a higher level of genetic discrimination than SSRs. John Wiley and Sons Inc. 2019-05-30 /pmc/articles/PMC6640178/ /pubmed/31145530 http://dx.doi.org/10.1111/mpp.12819 Text en © 2019 The Authors. Molecular Plant Pathology published by British Society for Plant Pathology and John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Maurice, Sundy Montes, Melanie S. Nielsen, Bent J. Bødker, Lars Martin, Michael D. Jønck, Carina G. Kjøller, Rasmus Rosendahl, Søren Population genomics of an outbreak of the potato late blight pathogen, Phytophthora infestans, reveals both clonality and high genotypic diversity |
title | Population genomics of an outbreak of the potato late blight pathogen, Phytophthora infestans, reveals both clonality and high genotypic diversity |
title_full | Population genomics of an outbreak of the potato late blight pathogen, Phytophthora infestans, reveals both clonality and high genotypic diversity |
title_fullStr | Population genomics of an outbreak of the potato late blight pathogen, Phytophthora infestans, reveals both clonality and high genotypic diversity |
title_full_unstemmed | Population genomics of an outbreak of the potato late blight pathogen, Phytophthora infestans, reveals both clonality and high genotypic diversity |
title_short | Population genomics of an outbreak of the potato late blight pathogen, Phytophthora infestans, reveals both clonality and high genotypic diversity |
title_sort | population genomics of an outbreak of the potato late blight pathogen, phytophthora infestans, reveals both clonality and high genotypic diversity |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6640178/ https://www.ncbi.nlm.nih.gov/pubmed/31145530 http://dx.doi.org/10.1111/mpp.12819 |
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