Genetic diversity of strawberry germplasm using metabolomic biomarkers.

ABSTRACT: High-throughput metabolomics technologies can provide the quantification of metabolites levels across various biological processes in different tissues, organs and species, allowing the identification of genes underpinning these complex traits. Information about changes of metabolites during strawberry development and ripening processes is key to aiding the development of new approaches to improve fruit attributes. We used network-based methods and multivariate statistical approaches to characterize and investigate variation in the primary and secondary metabolism of seven domesticated and seven wild strawberry fruit accessions at three different fruit development and ripening stages. Our results demonstrated that Fragaria sub-species can be identified solely based on the gathered metaboli

SUBMITTER: Vallarino JG 

PROVIDER: S-EPMC6158285 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature