Predictive metabolomics reveals leaf systemic metabolic signatures associated with floral traits in Camellia
Fafa Ikram Hocini, Sylvain Prigent, Annie Lerisson, Rémy Cordazzo, Coralie Muller, Claudia Rouveyrol, Cédric Cassan, Aurélien Rey, Yves Gibon, Nicola Fuzzati, Vincent Cocandeau, Pierre Pétriacq
This study uses predictive metabolomics to identify leaf metabolic signatures linked to floral traits in Camellia, finding distinct metabolite sets for flower colour and form with higher prediction accuracy for colour.
bioRxiv · Feb 2, 2026 · PreprintPlant Biology