Genomic variation drives plant flavor diversification

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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Publication Details

Journal
Journal of Integrative Plant Biology
Published
2026-05-10
DOI
https://doi.org/10.1111/jipb.70283
Primary Topic
Plant Gene Expression Analysis
Type
article
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article

Genomic variation drives plant flavor diversification

Xia Zhang, Huimin Hu, Rui Xia, Pan Liao et al.
Journal of Integrative Plant Biology
Plant Gene Expression Analysis
article

Genomic variation drives plant flavor diversification

Xia Zhang, Huimin Hu, Rui Xia, Pan Liao, Yanwei Hao, Yiwei Zhou
article en

Abstract

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.

Journal of Integrative Plant Biology
South China Agricultural University (CN), Hong Kong Baptist University (HK), Ministry of Agriculture (EE), Guangdong Academy of Agricultural Sciences (CN), Hong Kong Biotechnology Organization (CN), Ministry of Agriculture (ID), Ministry of Agriculture and Rural Affairs (CN), University of Hong Kong (HK)
Zero hunger
Openalex Percentile: Top 7%
Plant Gene Expression Analysis
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Genomic variation drives plant flavor diversification — Xia Zhang, Huimin Hu, et al. · Journal of Integrative Plant Biology (2026) | TGRS Research Map | TGRS