Genome-Wide Association in Tomato Reveals 44 Candidate Loci for Fruit Metabolic Traits
Christopher Sauvage1, Vincent Segura2, Guillaume Bauchet2
1Institut National de la Recherche Agronomique, UR1052, Génétique et Amélioration des Fruits et Légumes, 84143 Montfavet cedex, France (C.S., G.B., R.S., M.C.);Institut National de la Recherche Agronomique, UR0588, 45075 Orleans cedex 2, France (V.S.);Syngenta Seeds, 31790 Saint Sauveur, France (G.B.);Max-Planck-Institut für Molekulare Pflanzenphysiologie, 14476 Potsdam-Golm, Germany (P.T.D., Z.N., A.R.F.); andFaculty of Biology, University of Science, Vietnam National University, Thanh Xuan, Hanoi, Vietnam (P.T.D.) christopher.sauvage@avignon.inra.fr.
Abstract:
Genome-wide association studies have been successful in identifying genes involved in polygenic traits and are valuable for crop improvement. Tomato (Solanum lycopersicum) is a major crop and is highly appreciated worldwide for its health value. We used a core collection of 163 tomato accessions composed of S. lycopersicum, S. lycopersicum var cerasiforme, and Solanum pimpinellifolium to map loci controlling variation in fruit metabolites. Fruits were phenotyped for a broad range of metabolites, including amino acids, sugars, and ascorbate. In parallel, the accessions were genotyped with 5,995 single-nucleotide polymorphism markers spread over the whole genome. Genome-wide association analysis was conducted on a large set of metabolic traits that were stable over 2 years using a multilocus mixed model as a general method for mapping complex traits in structured populations and applied to tomato. We detected a total of 44 loci that were significantly associated with a total of 19 traits, including sucrose, ascorbate, malate, and citrate levels. These results not only provide a list of candidate loci to be functionally validated but also a powerful analytical approach for finding genetic variants that can be directly used for crop improvement and deciphering the genetic architecture of complex traits.
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