The metabolomic landscape of rice heterosis highlights pathway biomarkers for predicting complex phenotypes.

ABSTRACT: Understanding the molecular mechanisms underlying complex phenotypes requires systematic analyses of complicated metabolic networks and contributes to improvements in the breeding efficiency of staple cereal crops and diagnostic accuracy for human diseases. Here, we selected rice (Oryza sativa) heterosis as a complex phenotype and investigated the mechanisms of both vegetative and reproductive traits using an untargeted metabolomics strategy. Heterosis-associated analytes were identified, and the overlapping analytes were shown to underlie the association patterns for six agronomic traits. The heterosis-associated analytes of four yield components and plant height collectively contributed to yield heterosis, and the degree of contribution differed among the five traits. We performed dysreg

SUBMITTER: Dan Z 

PROVIDER: S-EPMC8491067 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature