Genome-wide association mapping in a sweet cherry germplasm collection ( Prunus avium L.) reveals candidate genes for fruit quality traits - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Article Dans Une Revue Horticulture research Année : 2023

Genome-wide association mapping in a sweet cherry germplasm collection ( Prunus avium L.) reveals candidate genes for fruit quality traits

Résumé

In sweet cherry (Prunus avium L.), large variability exists for various traits related to fruit quality. There is a need to discover the genetic architecture of these traits in order to enhance the efficiency of breeding strategies for consumer and producer demands. With this objective, a germplasm collection consisting of 116 sweet cherry accessions was evaluated for 23 agronomic fruit quality traits over 2–6 years, and characterized using a genotyping-by-sequencing approach. The SNP coverage collected was used to conduct a genome-wide association study using two multilocus models and three reference genomes. We identified numerous SNP–trait associations for global fruit size (weight, width, and thickness), fruit cracking, fruit firmness, and stone size, and we pinpointed several candidate genes involved in phytohormone, calcium, and cell wall metabolisms. Finally, we conducted a precise literature review focusing on the genetic architecture of fruit quality traits in sweet cherry to compare our results with potential colocalizations of marker–trait associations. This study brings new knowledge of the genetic control of important agronomic traits related to fruit quality, and to the development of marker-assisted selection strategies targeted towards the facilitation of breeding efforts.
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hal-04264100 , version 1 (30-10-2023)

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Armel Donkpegan, Anthony Bernard, Teresa Barreneche, José Quero-Garcia, Hélène Bonnet, et al.. Genome-wide association mapping in a sweet cherry germplasm collection ( Prunus avium L.) reveals candidate genes for fruit quality traits. Horticulture research, 2023, 10 (10), pp.uhad191. ⟨10.1093/hr/uhad191⟩. ⟨hal-04264100⟩
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