Review reveals how genomic variation impacts flavor metabolites in plants, suggesting pathways for improving flavor traits.
Plant flavor diversity arises from genomic variation across species and cultivars, yet the mechanisms linking natural genomic variation to flavor-related phenotypes remain insufficiently integrated. Here, we systematically review how diverse forms of genomic variation reshape the biosynthesis, transport, and accumulation of flavor-related metabolites, thereby driving diversification in sweetness, acidity, bitterness, piquancy, astringency, and aroma. We further integrate evidence from genomics, transcriptomics, metabolomics, and functional validation to outline a mechanistic framework linking genomic variation to the molecular and metabolic basis of flavor phenotypes. We then examine how artificial intelligence-assisted breeding and precision gene editing can accelerate the identification of causal variants and enable targeted improvement of flavor-related traits. This framework establishes plant flavor as a mechanism-based target for plant improvement, with broad implications for quality, nutrition, and sustainability.
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Hu et al. (2026) studied this question.
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