Litcius/Paper detail

Multi‐environment association study highlights candidate genes for robust agronomic quantitative trait loci in a novel worldwide <i>Capsicum</i> core collection

Louis McLeod, Lorenzo Barchi, Giorgio Tumino, Pasquale Tripodi, Jérémy Salinier, Christophe Gros, Hatice Filiz Boyacı, Ramazan Özalp, Yelena Borovsky, Roland Schafleitner, Derek W. Barchenger, Richard Finkers, Matthijs Brouwer, Nils Stein, M. Timothy Rabanus‐Wallace, Giovanni Giuliano, Roeland E. Voorrips, Ilan Paran, Véronique Lefèbvre

2023The Plant Journal36 citationsDOIOpen Access PDF

Abstract

Investigating crop diversity through genome-wide association studies (GWAS) on core collections helps in deciphering the genetic determinants of complex quantitative traits. Using the G2P-SOL project world collection of 10 038 wild and cultivated Capsicum accessions from 10 major genebanks, we assembled a core collection of 423 accessions representing the known genetic diversity. Since complex traits are often highly dependent upon environmental variables and genotype-by-environment (G × E) interactions, multi-environment GWAS with a 10 195-marker genotypic matrix were conducted on a highly diverse subset of 350 Capsicum annuum accessions, extensively phenotyped in up to six independent trials from five climatically differing countries. Environment-specific and multi-environment quantitative trait loci (QTLs) were detected for 23 diverse agronomic traits. We identified 97 candidate genes potentially implicated in 53 of the most robust and high-confidence QTLs for fruit flavor, color, size, and shape traits, and for plant productivity, vigor, and earliness traits. Investigating the genetic architecture of agronomic traits in this way will assist the development of genetic markers and pave the way for marker-assisted selection. The G2P-SOL pepper core collection will be available upon request as a unique and universal resource for further exploitation in future gene discovery and marker-assisted breeding efforts by the pepper community.

Topics & Concepts

BiologyQuantitative trait locusCandidate geneGenome-wide association studyTraitGenetic architectureGenetic diversityGeneticsPepperBiotechnologyAssociation mappingGeneGenotypeSingle-nucleotide polymorphismPopulationHorticultureDemographyComputer scienceSociologyProgramming languagePlant Virus Research StudiesGenetic Mapping and Diversity in Plants and AnimalsPlant pathogens and resistance mechanisms
Multi‐environment association study highlights candidate genes for robust agronomic quantitative trait loci in a novel worldwide <i>Capsicum</i> core collection | Litcius