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

Authors :
Henri Desaint
Laurence Moreau
Valérie Schurdi-Levraud
Tristan Mary-Huard
Severine Monnot
Nathalie Boissot
Génétique et Amélioration des Fruits et Légumes (GAFL)
Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Bayer Cropscience
Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon)
AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Biologie du fruit et pathologie (BFP)
Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Source :
Cells, Cells, MDPI, 2021, 10 (11), pp.3080. ⟨10.3390/cells10113080⟩, Cells, Vol 10, Iss 3080, p 3080 (2021)
Publication Year :
2021

Abstract

International audience; Growing 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.

Details

ISSN :
20734409
Volume :
10
Issue :
11
Database :
OpenAIRE
Journal :
Cells
Accession number :
edsair.doi.dedup.....bf0579d86b15940666b85845a205cc71
Full Text :
https://doi.org/10.3390/cells10113080⟩