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Genomic variation drives plant flavor diversification

  • Huimin Hu
  • , Yanwei Hao
  • , Yiwei Zhou
  • , Xia Zhang
  • , Rui Xia*
  • , Pan Liao*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

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.

Original languageEnglish
Number of pages19
JournalJournal of Integrative Plant Biology
DOIs
Publication statusE-pub ahead of print - 10 May 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

User-Defined Keywords

  • aroma
  • artificial intelligence
  • genomic variation
  • plant flavor
  • sugar and acid

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