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Pathogen enrichment sequencing (PenSeq) enables population genomic studies in oomycetes.

Identifieur interne : 000429 ( Main/Exploration ); précédent : 000428; suivant : 000430

Pathogen enrichment sequencing (PenSeq) enables population genomic studies in oomycetes.

Auteurs : Gaetan J A. Thilliez [Royaume-Uni] ; Miles R. Armstrong [Royaume-Uni] ; Tze-Yin Lim [Royaume-Uni] ; Katie Baker [Royaume-Uni] ; Agathe Jouet [Royaume-Uni] ; Ben Ward [Royaume-Uni] ; Cock Van Oosterhout [Royaume-Uni] ; Jonathan D G. Jones [Royaume-Uni] ; Edgar Huitema [Royaume-Uni] ; Paul R J. Birch [Royaume-Uni] ; Ingo Hein [Royaume-Uni]

Source :

RBID : pubmed:30288743

Descripteurs français

English descriptors

Abstract

The oomycete pathogens Phytophthora infestans and P. capsici cause significant crop losses world-wide, threatening food security. In each case, pathogenicity factors, called RXLR effectors, contribute to virulence. Some RXLRs are perceived by resistance proteins to trigger host immunity, but our understanding of the demographic processes and adaptive evolution of pathogen virulence remains poor. Here, we describe PenSeq, a highly efficient enrichment sequencing approach for genes encoding pathogenicity determinants which, as shown for the infamous potato blight pathogen Phytophthora infestans, make up < 1% of the entire genome. PenSeq facilitates the characterization of allelic diversity in pathogen effectors, enabling evolutionary and population genomic analyses of Phytophthora species. Furthermore, PenSeq enables the massively parallel identification of presence/absence variations and sequence polymorphisms in key pathogen genes, which is a prerequisite for the efficient deployment of host resistance genes. PenSeq represents a cost-effective alternative to whole-genome sequencing and addresses crucial limitations of current plant pathogen population studies, which are often based on selectively neutral markers and consequently have limited utility in the analysis of adaptive evolution. The approach can be adapted to diverse microbes and pathogens.

DOI: 10.1111/nph.15441
PubMed: 30288743
PubMed Central: PMC6492278


Affiliations:


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Le document en format XML

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<term>Alleles (MeSH)</term>
<term>Base Sequence (MeSH)</term>
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<term>Genomics (MeSH)</term>
<term>Heterozygote (MeSH)</term>
<term>Nucleotides (genetics)</term>
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<term>Normes de référence (MeSH)</term>
<term>Nucléotides (génétique)</term>
<term>Oomycetes (génétique)</term>
<term>Phytophthora infestans (génétique)</term>
<term>Polymorphisme génétique (MeSH)</term>
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<term>Nucleotides</term>
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<div type="abstract" xml:lang="en">The oomycete pathogens Phytophthora infestans and P. capsici cause significant crop losses world-wide, threatening food security. In each case, pathogenicity factors, called RXLR effectors, contribute to virulence. Some RXLRs are perceived by resistance proteins to trigger host immunity, but our understanding of the demographic processes and adaptive evolution of pathogen virulence remains poor. Here, we describe PenSeq, a highly efficient enrichment sequencing approach for genes encoding pathogenicity determinants which, as shown for the infamous potato blight pathogen Phytophthora infestans, make up < 1% of the entire genome. PenSeq facilitates the characterization of allelic diversity in pathogen effectors, enabling evolutionary and population genomic analyses of Phytophthora species. Furthermore, PenSeq enables the massively parallel identification of presence/absence variations and sequence polymorphisms in key pathogen genes, which is a prerequisite for the efficient deployment of host resistance genes. PenSeq represents a cost-effective alternative to whole-genome sequencing and addresses crucial limitations of current plant pathogen population studies, which are often based on selectively neutral markers and consequently have limited utility in the analysis of adaptive evolution. The approach can be adapted to diverse microbes and pathogens.</div>
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<AbstractText>The oomycete pathogens Phytophthora infestans and P. capsici cause significant crop losses world-wide, threatening food security. In each case, pathogenicity factors, called RXLR effectors, contribute to virulence. Some RXLRs are perceived by resistance proteins to trigger host immunity, but our understanding of the demographic processes and adaptive evolution of pathogen virulence remains poor. Here, we describe PenSeq, a highly efficient enrichment sequencing approach for genes encoding pathogenicity determinants which, as shown for the infamous potato blight pathogen Phytophthora infestans, make up < 1% of the entire genome. PenSeq facilitates the characterization of allelic diversity in pathogen effectors, enabling evolutionary and population genomic analyses of Phytophthora species. Furthermore, PenSeq enables the massively parallel identification of presence/absence variations and sequence polymorphisms in key pathogen genes, which is a prerequisite for the efficient deployment of host resistance genes. PenSeq represents a cost-effective alternative to whole-genome sequencing and addresses crucial limitations of current plant pathogen population studies, which are often based on selectively neutral markers and consequently have limited utility in the analysis of adaptive evolution. The approach can be adapted to diverse microbes and pathogens.</AbstractText>
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<name sortKey="Lim, Tze Yin" sort="Lim, Tze Yin" uniqKey="Lim T" first="Tze-Yin" last="Lim">Tze-Yin Lim</name>
<name sortKey="Thilliez, Gaetan J A" sort="Thilliez, Gaetan J A" uniqKey="Thilliez G" first="Gaetan J A" last="Thilliez">Gaetan J A. Thilliez</name>
<name sortKey="Van Oosterhout, Cock" sort="Van Oosterhout, Cock" uniqKey="Van Oosterhout C" first="Cock" last="Van Oosterhout">Cock Van Oosterhout</name>
<name sortKey="Ward, Ben" sort="Ward, Ben" uniqKey="Ward B" first="Ben" last="Ward">Ben Ward</name>
</country>
</tree>
</affiliations>
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