ArticleThe Plant journal : for cell and molecular biology2020
Metabolomics analysis and metabolite-agronomic trait associations using kernels of wheat (Triticum aestivum) recombinant inbred lines.
Article in The Plant journal : for cell and molecular biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.
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Who cites it
60 citing papers in PubMed, 122 citations in OpenAlex.
- Comparative Genome-Wide Association Studies of Metabolites and Grain-Related Traits in Common Wheat.Plant biotechnology journal · 2026Article
- Unveiling Plant Metabolic Diversity: Integrating Metabolomics with Multi-Omics Approaches for Crop Improvement.Plants (Basel, Switzerland) · 2026Review
- Comparative Metabolomics and Transcriptomics Analysis ofMolecules (Basel, Switzerland) · 2026Article
- When Metabolomics Meets Quantitative Genetics: An Integrative Strategy to Elucidate Plant Resistance Mechanisms.Plant, cell & environment · 2026Review
- METRIN-KG: A knowledge graph integrating plant metabolites, traits, and biotic interactions.GigaScience · 2026Article
- Genetic enhancement of root, tuber and cereal crops via pangenomics, multi-omics integration and AI-driven prediction.Frontiers in plant science · 2026Review
- Smarter stomata: emergent technologies unlocking yield potential in a changing climate.AoB PLANTS · 2025Review
- Metabolome integrated with transcriptome, and genome analysis revealed higher accumulations of phytoalexins enhance resistance against Magnaporthe oryzae in new Zhefang rice variety diantun 506.BMC plant biology · 2025Article
- Genomic and Transcriptomic Profiling of Amino Acid Compositions in Common Carp Fillets.Animals : an open access journal from MDPI · 2025Article
- Metabolic marker-assisted genomic prediction improves hybrid breeding.Plant communications · 2025Article
- Review
- Estimation of the heritability of medicinal compound contents in Glycyrrhiza uralensis.PloS one · 2025Article
- Lr34/Yr18/Sr57/Pm38 confers broad-spectrum resistance to fungal diseases via sinapyl alcohol transport for cell wall lignification in wheat.Plant communications · 2024Article
- Transcriptomic and Metabolomic Analyses of the Piz-t-Mediated Resistance in Rice againstPlants (Basel, Switzerland) · 2024Article
- Review
- Comparative Metabolomics to Unravel the Biochemical Mechanism Associated with Rancidity in Pearl Millet (International journal of molecular sciences · 2024Article
- Molecular mechanisms underlying gene regulatory variation of maize metabolic traits.The Plant cell · 2024Article
- Article
- Change of Flavonoid Content in Wheatgrass in a Historic Collection of Wheat Cultivars.Antioxidants (Basel, Switzerland) · 2024Article
- Catechin promotes the germination of Pistacia chinensis seeds via GA biosynthesis.Annals of botany · 2024Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plants produce numerous metabolites that are important for their development and growth. However, the genetic architecture of the wheat metabolome has not been well studied. Here, utilizing a high-density genetic map, we conducted a comprehensive metabolome study via widely targeted LC-MS/MS to analyze the wheat kernel metabolism. We further combined agronomic traits and dissected the genetic relationship between metabolites and agronomic traits. In total, 1260 metabolic features were detected. Using linkage analysis, 1005 metabolic quantitative trait loci (mQTLs) were found distributed unevenly across the genome. Twenty-four candidate genes were found to modulate the levels of different metabolites, of which two were functionally annotated by in vitro analysis to be involved in the synthesis and modification of flavonoids. Combining the correlation analysis of metabolite-agronomic traits with the co-localization of methylation quantitative trait locus (mQTL) and phenotypic QTL (pQTL), genetic relationships between the metabolites and agronomic traits were uncovered. For example, a candidate was identified using correlation and co-localization analysis that may manage auxin accumulation, thereby affecting number of grains per spike (NGPS). Furthermore, metabolomics data were used to predict the performance of wheat agronomic traits, with metabolites being found that provide strong predictive power for NGPS and plant height. This study used metabolomics and association analysis to better understand the genetic basis of the wheat metabolism which will ultimately assist in wheat breeding.
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