ArticleNature communications2014
Metabolome-based genome-wide association study of maize kernel leads to novel biochemical insights.
Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 233 papers, 1 of them a synthesis that pooled it.
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Who cites it
233 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Exploring and exploiting genetics and genomics for sweetpotato improvement: Status and perspectives.Plant communications · 2022Pooled it
- Feasibility and pitfalls of combining small subpopulations for genome-wide association analysis of maize (Zea mays L.) kernel traits.The plant genome · 2026Article
- Specialized Metabolites in Cereal Crops Under Abiotic Stress: Regulatory Mechanisms, Functional Validation, and Breeding Implications.Plants (Basel, Switzerland) · 2026Review
- Review
- Comparative Genome-Wide Association Studies of Metabolites and Grain-Related Traits in Common Wheat.Plant biotechnology journal · 2026Article
- PanGraphRNA: An efficient and flexible bioinformatics platform for graph pangenome-based RNA-seq data analysis.Journal of integrative plant biology · 2026Article
- Roles of Metabolites Unveiled by Metabolomics inMetabolites · 2026Review
- A MaERF110-MaMYB308 Transcriptional Module Negatively Regulates Lignin-Mediated Defence Against Fusarium Wilt in Banana.Plant biotechnology journal · 2026Article
- Metabolome and transcriptome profiling reveals distinct regulatory networks underlying high-protein and high-oil traits in soybean cultivars Wandou 28 and Zhongdou 63.BMC plant biology · 2026Article
- Integrated high-density genetic maps in multi-parent FBMC plant biology · 2026Article
- Joint analysis of GWAS and TILLING reveals the negative role of GLABRA2 in controlling seed oil content in Brassica napus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- The Camellia sinensis var. sinensis cv. Fuding Dabaicha genome unveils structural variation-driven metabolic innovation.Nature communications · 2026Article
- Integrating predictive models and GWAS to identify candidate loci and genes for agronomic traits in rice.Frontiers in plant science · 2026Article
- Reciprocal BLUP: A Predictability-Guided Multi-Omics Framework for Plant Phenotype Prediction.Plants (Basel, Switzerland) · 2025Article
- Marker Metabolite-Based Multi-Omics Analysis Identifies New Loci Controlling Thousand Seed Weight in Brassica Napus.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Genetic basis of flavor complexity in sweet corn.Nature genetics · 2025Article
- A multifunctional sesquiterpene synthase integrates with cytochrome P450s to reinforce the terpenoid defense network in maize.The Plant journal : for cell and molecular biology · 2025Article
- Genome-wide association studies reveal genetic diversity and regulatory loci underlying dwarfing traits in banana.Journal of integrative plant biology · 2025Article
- Molecular Identification and Functional Characterization of a Putrescine Hydroxycinnamoyltransferase in Suspension Cells of Bamboo (Phyllostachys nigra).Applied biochemistry and biotechnology · 2025Article
- GWAS-based population genetic analysis identifies bZIP29 as a heterotic gene in maize.Plant communications · 2025Article
173 more citing papers are in PubMed but not listed here.
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Authors and funding
11 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Plants produce a variety of metabolites that have a critical role in growth and development. Here we present a comprehensive study of maize metabolism, combining genetic, metabolite and expression profiling methodologies to dissect the genetic basis of metabolic diversity in maize kernels. We quantify 983 metabolite features in 702 maize genotypes planted at multiple locations. We identify 1,459 significant locus-trait associations (P≤1.8 × 10(-6)) across three environments through metabolite-based genome-wide association mapping. Most (58.5%) of the identified loci are supported by expression QTLs, and some (14.7%) are validated through linkage mapping. Re-sequencing and candidate gene association analysis identifies potential causal variants for five candidate genes involved in metabolic traits. Two of these genes were further validated by mutant and transgenic analysis. Metabolite features associated with kernel weight could be used as biomarkers to facilitate genetic improvement of maize.
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