The metabolomic landscape of rice heterosis highlights pathway biomarkers for predicting complex phenotypes
| Autor: | Wenchao Huang, Yunping Chen, Wuwu Xu, Ruifeng He, Hui Li, Weibo Zhao, Yafei Zeng, Zhiwu Dan |
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| Rok vydání: | 2021 |
| Předmět: |
Genetic Markers
0106 biological sciences 0301 basic medicine Regular Issue AcademicSubjects/SCI01280 Physiology Heterosis Diagnostic accuracy Plant Science Biology 01 natural sciences 03 medical and health sciences Metabolomics Hybrid Vigor Genetics Systems and Synthetic Biology Hybrid AcademicSubjects/SCI01270 Oryza sativa AcademicSubjects/SCI02288 AcademicSubjects/SCI02287 AcademicSubjects/SCI02286 food and beverages Oryza Phenotype Metabolic pathway 030104 developmental biology Untargeted metabolomics Metabolome Research Article 010606 plant biology & botany |
| Zdroj: | Plant Physiology |
| ISSN: | 1532-2548 0032-0889 |
| DOI: | 10.1093/plphys/kiab273 |
| Popis: | 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 dysregulated network analyses of the high- and low-better parent heterosis hybrids and found multiple types of metabolic pathways involved in heterosis. The metabolite levels of the significantly enriched pathways (especially those from amino acid and carbohydrate metabolism) were predictive of yield heterosis (area under the curve = 0.907 with 10 features), and the predictability of these pathway biomarkers was validated with hybrids across environments and populations. Our findings elucidate the metabolomic landscape of rice heterosis and highlight the potential application of pathway biomarkers in achieving accurate predictions of complex phenotypes. Specific metabolic pathways (especially those from amino acid and carbohydrate metabolism) underlie heterosis of six agronomic traits in rice. |
| Databáze: | OpenAIRE |
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