ArticleBMC systems biology2011
Exploring molecular backgrounds of quality traits in rice by predictive models based on high-coverage metabolomics.
Article in BMC systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Development of phytochemical genomics: From decoding metabolome to functional genomics and biotechnology of plant metabolism.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2025Review
- Multi-gene metabolic engineering of tomato plants results in increased fruit yield up to 23%.Scientific reports · 2020Article
- Metabotyping as a Stopover in Genome-to-Phenome Mapping.Scientific reports · 2019Article
- Crop metabolomics: from diagnostics to assisted breeding.Metabolomics : Official journal of the Metabolomic Society · 2018Review
- Exploring traditional aus-type rice for metabolites conferring drought tolerance.Rice (New York, N.Y.) · 2018Article
- Metabolomics for Plant Improvement: Status and Prospects.Frontiers in plant science · 2017Review
- Stable Isotope-Assisted Evaluation of Different Extraction Solvents for Untargeted Metabolomics of Plants.International journal of molecular sciences · 2016Article
- Integrated metabolomics and phytochemical genomics approaches for studies on rice.GigaScience · 2016Review
- Metabolite Profiles of Maize Leaves in Drought, Heat, and Combined Stress Field Trials Reveal the Relationship between Metabolism and Grain Yield.Plant physiology · 2015Article
- Prospects of breeding high-quality rice using post-genomic tools.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2015Review
- Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism.Nature genetics · 2014Article
- Toward better annotation in plant metabolomics: isolation and structure elucidation of 36 specialized metabolites fromMetabolomics : Official journal of the Metabolomic Society · 2014Article
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Authors and funding
10 authors.
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Abstract
backgroundIncreasing awareness of limitations to natural resources has set high expectations for plant science to deliver efficient crops with increased yields, improved stress tolerance, and tailored composition. Collections of representative varieties are a valuable resource for compiling broad breeding germplasms that can satisfy these diverse needs.
resultsHere we show that the untargeted high-coverage metabolomic characterization of such core collections is a powerful approach for studying the molecular backgrounds of quality traits and for constructing predictive metabolome-trait models. We profiled the metabolic composition of kernels from field-grown plants of the rice diversity research set using 4 complementary analytical platforms. We found that the metabolite profiles were correlated with both the overall population structure and fine-grained genetic diversity. Multivariate regression analysis showed that 10 of the 17 studied quality traits could be predicted from the metabolic composition independently of the population structure. Furthermore, the model of amylose ratio could be validated using external varieties grown in an independent experiment.
conclusionsOur results demonstrate the utility of metabolomics for linking traits with quantitative molecular data. This opens up new opportunities for trait prediction and construction of tailored germplasms to support modern plant breeding.
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