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Population genomics of an outbreak of the potato late blight pathogen, Phytophthora infestans, reveals both clonality and high genotypic diversity.

Identifieur interne : 000412 ( Main/Exploration ); précédent : 000411; suivant : 000413

Population genomics of an outbreak of the potato late blight pathogen, Phytophthora infestans, reveals both clonality and high genotypic diversity.

Auteurs : Sundy Maurice [Norvège] ; Melanie S. Montes [Danemark] ; Bent J. Nielsen [Danemark] ; Lars B Dker [Danemark] ; Michael D. Martin [Danemark] ; Carina G. J Nck [Danemark] ; Rasmus Kj Ller [Danemark] ; S Ren Rosendahl [Danemark]

Source :

RBID : pubmed:31145530

Descripteurs français

English descriptors

Abstract

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.

DOI: 10.1111/mpp.12819
PubMed: 31145530
PubMed Central: PMC6640178


Affiliations:


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Le document en format XML

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<term>Clone Cells (MeSH)</term>
<term>Denmark (MeSH)</term>
<term>Disease Outbreaks (MeSH)</term>
<term>Genetic Variation (MeSH)</term>
<term>Genomics (MeSH)</term>
<term>Genotype (MeSH)</term>
<term>Geography (MeSH)</term>
<term>Microsatellite Repeats (genetics)</term>
<term>Phytophthora infestans (genetics)</term>
<term>Plant Diseases (microbiology)</term>
<term>Ploidies (MeSH)</term>
<term>Polymorphism, Single Nucleotide (genetics)</term>
<term>Recombination, Genetic (genetics)</term>
<term>Solanum tuberosum (microbiology)</term>
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<term>Clones cellulaires (MeSH)</term>
<term>Danemark (MeSH)</term>
<term>Génomique (MeSH)</term>
<term>Génotype (MeSH)</term>
<term>Géographie (MeSH)</term>
<term>Maladies des plantes (microbiologie)</term>
<term>Phytophthora infestans (génétique)</term>
<term>Ploïdies (MeSH)</term>
<term>Polymorphisme de nucléotide simple (génétique)</term>
<term>Recombinaison génétique (génétique)</term>
<term>Répétitions microsatellites (génétique)</term>
<term>Solanum tuberosum (microbiologie)</term>
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<term>Polymorphism, Single Nucleotide</term>
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<term>Phytophthora infestans</term>
<term>Polymorphisme de nucléotide simple</term>
<term>Recombinaison génétique</term>
<term>Répétitions microsatellites</term>
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<term>Maladies des plantes</term>
<term>Solanum tuberosum</term>
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<term>Danemark</term>
<term>Génomique</term>
<term>Génotype</term>
<term>Géographie</term>
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<term>Variation génétique</term>
<term>Épidémies de maladies</term>
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<div type="abstract" xml:lang="en">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.</div>
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<AbstractText>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.</AbstractText>
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<Affiliation>Department of Biology, University of Copenhagen, Universitetsparken 15, Copenhagen O, 2100, Denmark.</Affiliation>
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<DescriptorName UI="D005843" MajorTopicYN="N">Geography</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D018895" MajorTopicYN="N">Microsatellite Repeats</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
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<DescriptorName UI="D055750" MajorTopicYN="N">Phytophthora infestans</DescriptorName>
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<DescriptorName UI="D010935" MajorTopicYN="N">Plant Diseases</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D011003" MajorTopicYN="N">Ploidies</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D020641" MajorTopicYN="N">Polymorphism, Single Nucleotide</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D011995" MajorTopicYN="N">Recombination, Genetic</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
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<MeshHeading>
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