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Deciphering the Genetic Architecture of Plant Virus Resistance by GWAS, State of the Art and Potential Advances

hal.structure.identifierGénétique et Amélioration des Fruits et Légumes [GAFL]
hal.structure.identifierBayer Cropscience
dc.contributor.authorMONNOT, Severine
hal.structure.identifierGénétique et Amélioration des Fruits et Légumes [GAFL]
dc.contributor.authorDESAINT, Henri
hal.structure.identifierGénétique Quantitative et Evolution - Le Moulon (Génétique Végétale) [GQE-Le Moulon]
hal.structure.identifierMathématiques et Informatique Appliquées [MIA Paris-Saclay]
dc.contributor.authorMARY-HUARD, Tristan
hal.structure.identifierGénétique Quantitative et Evolution - Le Moulon (Génétique Végétale) [GQE-Le Moulon]
dc.contributor.authorMOREAU, Laurence
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorSCHURDI-LEVRAUD, Valerie
hal.structure.identifierGénétique et Amélioration des Fruits et Légumes [GAFL]
dc.contributor.authorBOISSOT, Nathalie
dc.date.issued2021-11
dc.identifier.issn2073-4409
dc.description.abstractEnGrowing virus resistant varieties is a highly effective means to avoid yield loss due to infection by many types of virus. The challenge is to be able to detect resistance donors within plant species diversity and then quickly introduce alleles conferring resistance into elite genetic backgrounds. Until now, mainly monogenic forms of resistance with major effects have been introduced in crops. Polygenic resistance is harder to map and introduce in susceptible genetic backgrounds, but it is likely more durable. Genome wide association studies (GWAS) offer an opportunity to accelerate mapping of both monogenic and polygenic resistance, but have seldom been implemented and described in the plant–virus interaction context. Yet, all of the 48 plant–virus GWAS published so far have successfully mapped QTLs involved in plant virus resistance. In this review, we analyzed general and specific GWAS issues regarding plant virus resistance. We have identified and described several key steps throughout the GWAS pipeline, from diversity panel assembly to GWAS result analyses. Based on the 48 published articles, we analyzed the impact of each key step on the GWAS power and showcase several GWAS methods tailored to all types of viruses.
dc.language.isoen
dc.publisherMDPI
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subjectvirologie végétale
dc.subjectvirus phytopathogène
dc.subject.enGWAS
dc.subject.envirus
dc.subject.enplant
dc.title.enDeciphering the Genetic Architecture of Plant Virus Resistance by GWAS, State of the Art and Potential Advances
dc.typeArticle de revue
dc.typeArticle de synthèse
dc.identifier.doi10.3390/cells10113080
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale
bordeaux.journalCells
bordeaux.page3080
bordeaux.volume10
bordeaux.issue11
bordeaux.peerReviewedoui
hal.identifierhal-03424384
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03424384v1
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