Metabolomic characterization of sunflower leaf allows discriminating genotype groups or stress levels with a minimal set of metabolic markers

• DOI: 10.1007/s11306-019-1515-4
• Publication Date: 2019-03-30T09:02:46Z
• Authors: Olivier Fernandez; Maria Urrutia; Thierry Berton; Stéphane Bernillon; Catherine Deborde; Daniel Jacob; Mickaël Maucourt; Pierre Maury; Harold Duruflé; Yves Gibon; Nicolas B. Langlade; Annick Moing
• Keywords: Cytoplasmic male sterility

Plant and crop metabolomic analyses may be used to study metabolism across genetic environmental diversity. Complementary analytical strategies are useful for investigating metabolic changes searching biomarkers of response or performance. The experimental material consisted in eight sunflower lines with two line status, four restorers (R, as males) maintainers (B, corresponding females) routinely hybrid varietal production, respectively complement maintain the cytoplasmic male sterility PET1. These were either irrigated at full soil capacity (WW) submitted drought stress (DS). Our aim was combine targeted non-targeted metabolomics characterize leaf composition order investigate effect status genotypes conditions find best smallest set using a custom-made process variables selection. Five hundred eighty-eight measured by complementary methods such 1H-NMR, MS-based profiles major metabolites. Based on statistical analyses, limited number markers able separate WW DS samples more discriminant manner than previously published physiological data. Another marker discriminate status. This underlines potential discriminating genotype groups conditions. Their use prediction is discussed.