ArticleScientific reports2016
An Integrative Genetic Study of Rice Metabolism, Growth and Stochastic Variation Reveals Potential C/N Partitioning Loci.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 24 citations in OpenAlex.
- Embracing plant plasticity or robustness as a means of ensuring food security.Nature communications · 2025Review
- Plant biochemical genetics in the multiomics era.Journal of experimental botany · 2023Review
- PANTOTHENATE KINASE4, LOSS OF GDU2, and TRANSPOSON PROTEIN1 affect the canalization of tomato fruit metabolism.Plant physiology · 2023Article
- Understanding Omics Driven Plant Improvement andFrontiers in genetics · 2021Review
- Metabolite database for root, tuber, and banana crops to facilitate modern breeding in understudied crops.The Plant journal : for cell and molecular biology · 2020Article
- Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds.Metabolomics : Official journal of the Metabolomic Society · 2019Article
- Crop metabolomics: from diagnostics to assisted breeding.Metabolomics : Official journal of the Metabolomic Society · 2018Review
- Genetic dissection of metabolite variation in Arabidopsis seeds: evidence for mQTL hotspots and a master regulatory locus of seed metabolism.Journal of experimental botany · 2017Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Studying the genetic basis of variation in plant metabolism has been greatly facilitated by genomic and metabolic profiling advances. In this study, we use metabolomics and growth measurements to map QTL in rice, a major staple crop. Previous rice metabolism studies have largely focused on identifying genes controlling major effect loci. To complement these studies, we conducted a replicated metabolomics analysis on a japonica (Lemont) by indica (Teqing) rice recombinant inbred line population and focused on the genetic variation for primary metabolism. Using independent replicated studies, we show that in contrast to other rice studies, the heritability of primary metabolism is similar to Arabidopsis. The vast majority of metabolic QTLs had small to moderate effects with significant polygenic epistasis. Two metabolomics QTL hotspots had opposing effects on carbon and nitrogen rich metabolites suggesting that they may influence carbon and nitrogen partitioning, with one locus co-localizing with SUSIBA2 (WRKY78). Comparing QTLs for metabolomic and a variety of growth related traits identified few overlaps. Interestingly, the rice population displayed fewer loci controlling stochastic variation for metabolism than was found in Arabidopsis. Thus, it is possible that domestication has differentially impacted stochastic metabolite variation more than average metabolite variation.
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