Identification of major loci and genomic regions controlling acid and volatile content in tomato fruit: implications for flavor improvement
2017
Bauchet, Guillaume | Grenier, Stéphane | Samson, Nicolas | Segura, Vincent | Kende, Aniko | Beekwilder, Jules | Cankar, Katarina | Gallois, Jean-Luc | Gricourt, Justine | Bonnet, Julien | Baxter, Charles | Grivet, Laurent | Causse, Mathilde | Génétique et Amélioration des Fruits et Légumes (GAFL) ; Institut National de la Recherche Agronomique (INRA) | Syngenta France | Unité de recherche Amélioration, Génétique et Physiologie Forestières (AGPF) ; Institut National de la Recherche Agronomique (INRA) | Jealott’s Hill International Research Centre | Syngenta Ltd | Wageningen University and Research [Wageningen] (WUR)
Plant metabolites are important to world food security due to their roles in crop yield andnutritional quality. Here we report the metabolic profile of 300 tomato accessions (Solanum lycopersicum and related wild species) by quantifying 60 primary and secondary metabolites, including volatileorganic compounds, over a period of 2 yr. Metabolite content and genetic inheritance of metabolites varied broadly, both within and between different genetic groups. Using genotype information gained from 10 000 single nucleotide polymorphism markers, we performed a metabolite genome-wide association mapping (GWAS) study. We identified 79 associations influencing 13 primary and 19 secondary metabolites with large effects at high resolution. Four genome regions were detected, highlighting clusters of associations controlling the variation of several metabolites. Local linkage disequilibrium analysis and allele miningidentified possible candidate genes which may modulate the content of metabolites that areof significant importance for human diet and fruit consumption. We precisely characterized two associations involved in fruit acidity and phenylpropanoid volatile production. Taken together, this study reveals complex and distinct metabolite regulation in tomato subspecies and demonstrates that GWAS is a powerful tool forgene-metabolite annotation and identification, pathways elucidation, and further cropimprovement.
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