ArticleJournal of experimental botany2017
Genome-metabolite associations revealed low heritability, high genetic complexity, and causal relations for leaf metabolites in winter wheat (Triticum aestivum).
Article in Journal of experimental botany, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Comparative Genome-Wide Association Studies of Metabolites and Grain-Related Traits in Common Wheat.Plant biotechnology journal · 2026Article
- Genomic consequences of açaí extraction in the Amazon: insights into selective pressures, genomic diversity, and population structure.Frontiers in plant science · 2025Article
- Beyond pathways: Accelerated flavonoids candidate identification and novel exploration of enzymatic properties using combined mapping populations of wheat.Plant biotechnology journal · 2024Article
- Metabolite-based genome-wide association studies enable the dissection of the genetic bases of flavonoids, betaine and spermidine in wolfberry (Lycium).Plant biotechnology journal · 2024Article
- Dynamic metabolite QTL analyses provide novel biochemical insights into kernel development and nutritional quality improvement in common wheat.Plant communications · 2024Article
- A bird's-eye view: exploration of the flavin-containing monooxygenase superfamily in common wheat.Frontiers in plant science · 2024Article
- Review
- Impact of environmental variables on yield related traits and bioactive compounds of the Persian fenugreek (Trigonella foenum-graecum L.) populations.Scientific reports · 2022Article
- Applications of Genomic Tools in Plant Breeding: Crop Biofortification.International journal of molecular sciences · 2022Review
- Metabolomics as a Tool to Elucidate the Sensory, Nutritional and Safety Quality of Wheat Bread-A Review.International journal of molecular sciences · 2021Review
- Exploring the genic resources underlying metabolites through mGWAS and mQTL in wheat: From large-scale gene identification and pathway elucidation to crop improvement.Plant communications · 2021Review
- Review
- Genome-wide association study on metabolite accumulation in a wild barley NAM population reveals natural variation in sugar metabolism.PloS one · 2021Article
- Understanding Omics Driven Plant Improvement andFrontiers in genetics · 2021Review
- Metabolite-based genome-wide association study enables dissection of the flavonoid decoration pathway of wheat kernels.Plant biotechnology journal · 2020Article
- Metabolomics analysis and metabolite-agronomic trait associations using kernels of wheat (Triticum aestivum) recombinant inbred lines.The Plant journal : for cell and molecular biology · 2020Article
- Genetic Variance of Metabolomic Features and Their Relationship With Malting Quality Traits in Spring Barley.Frontiers in plant science · 2020Article
- Metabolomics: A Way Forward for Crop Improvement.Metabolites · 2019Review
- Genetic variance of metabolomic features and their relationship with body weight and body weight gain in Holstein cattle1.Journal of animal science · 2019Article
- A genetical metabolomics approach for bioprospecting plant biosynthetic gene clusters.BMC research notes · 2019Article
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Authors and funding
14 authors.
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Abstract
We investigated associations between the metabolic phenotype, consisting of quantitative data of 76 metabolites from 135 contrasting winter wheat (Triticum aestivum) lines, and 17 372 single nucleotide polymorphism (SNP) markers. Metabolite profiles were generated from flag leaves of plants from three different environments, with average repeatabilities of 0.5-0.6. The average heritability of 0.25 was unaffected by the heading date. Correlations among metabolites reflected their functional grouping, highlighting the strict coordination of various routes of the citric acid cycle. Genome-wide association studies identified significant associations for six metabolic traits, namely oxalic acid, ornithine, L-arginine, pentose alcohol III, L-tyrosine, and a sugar oligomer (oligo II), with between one and 17 associated SNPs. Notable associations with genes regulating transcription or translation explained between 2.8% and 32.5% of the genotypic variance (pG). Further candidate genes comprised metabolite carriers (pG 32.5-38.1%), regulatory proteins (pG 0.3-11.1%), and metabolic enzymes (pG 2.5-32.5%). The combinatorial use of genomic and metabolic data to construct partially directed networks revealed causal inferences in the correlated metabolite traits and associated SNPs. The evaluated causal relationships will provide a basis for predicting the effects of genetic interferences on groups of correlated metabolic traits, and thus on specific metabolic phenotypes.
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