ArticlePlant physiology2021
The metabolomic landscape of rice heterosis highlights pathway biomarkers for predicting complex phenotypes.
Article in Plant physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Climate change and crop resilience: harnessing metabolomics for predicting stress tolerance.The New phytologist · 2026Review
- Multi-omics analysis revealed that oxidative phosphorylation contributed to the heterosis for feed efficiency in laying chickens.Poultry science · 2026Article
- Halophilic bacteria and archaea in salinity-resilient agriculture: mechanisms and multi-omics perspectives.Archives of microbiology · 2026Review
- Machine learning-based prediction of dynamic heterosis for plant height with pathway biomarkers in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Additive and Partially Dominant Effects from Genomic Variation Contribute to Rice Heterosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Exploiting predictive metabolomics of pearl millet phenotypic traits using untargeted profiling across a Brazilian germplasm panel.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Major Low-Molecular-Weight Metabolites from Freshwater Aquatic Macrophytes: Ecological Aspects.Molecules (Basel, Switzerland) · 2026Article
- Comparative metabolomic of cigar tobacco leaves: A preliminary investigation of potential discriminatory metabolites between Yunnan and Foreign.Biochemistry and biophysics reports · 2026Article
- A combination of automatic untargeted metabolic profiling analysis with targeted metabolomics to enhance geographical discrimination ofFood chemistry: X · 2026Article
- Article
- Quantitative Insights into the Genetic Mechanisms of Crop Heterosis.Advanced genetics (Hoboken, N.J.) · 2025Review
- Transcriptome dynamics and allele-specific regulation underlie wheat heterosis at the anthesis and grain-filling stages.BMC genomics · 2025Article
- Untargeted Metabolomics Analysis Reveals Differential Accumulation of Flavonoids Between Yellow-Seeded and Black-Seeded Rapeseed Varieties.Plants (Basel, Switzerland) · 2025Article
- Metabolomic profiling of finger millet: unlocking the secrets of a nutritious staple food.Frontiers in plant science · 2025Article
- Review
- Transcriptome and Metabolome Analysis Provides Insights into the Heterosis of Yield and Quality Traits in Two Hybrid Rice Varieties (International journal of molecular sciences · 2022Article
- Integration of multi-omics technologies for crop improvement: Status and prospects.Frontiers in bioinformatics · 2022Article
- Analysis of chemotypes and their markers in leaves of core collections ofFrontiers in plant science · 2022Article
- Machine learning assisted dynamic phenotypes and genomic variants help understand the ecotype divergence in rapeseed.Frontiers in plant science · 2022Article
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Authors and funding
8 authors.
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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 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.
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