Machine learning integrates metabolomics and proteomics to identify key regulators of anthocyanin biosynthesis in edible rose petals

Edible rose petals represent a promising source of anthocyanins, natural pigments with health-promoting properties suitable for functional food applications. However, the molecular mechanisms regulating anthocyanin biosynthesis in roses remain incompletely understood. Here, we employed an integrated...

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Bibliografische Detailangaben

Hauptverfasser:	Dannuo Fu, Jian Chen, Shuang Liang, Hongwei Fu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2026-03-01
Schriftenreihe:	Frontiers in Plant Science
Schlagworte:	anthocyanin edible roses functional food metabolomics proteomics transcription factor
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/fpls.2026.1751780/full
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