ArticleThe Plant cell2015
Genetic Determinants of the Network of Primary Metabolism and Their Relationships to Plant Performance in a Maize Recombinant Inbred Line Population.
Article in The Plant cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.
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Who cites it
85 citing papers in PubMed, 195 citations in OpenAlex.
- Feasibility and pitfalls of combining small subpopulations for genome-wide association analysis of maize (Zea mays L.) kernel traits.The plant genome · 2026Article
- Multiomics analysis of primary metabolism reveals the genetic basis of nitrogen partitioning modulated by ZmAVT1A-1 in maize.Nature genetics · 2026Article
- Integrated Transcriptomic and Metabolomic Analysis Reveals Metabolic Heterosis in Hybrid Tea Plants (Genes · 2025Article
- Marker Metabolite-Based Multi-Omics Analysis Identifies New Loci Controlling Thousand Seed Weight in Brassica Napus.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- The homeostasis of β-alanine is key for Arabidopsis reproductive growth and development.The Plant journal : for cell and molecular biology · 2025Article
- Novel candidate genes and genetic basis analysis of kernel starch content in tropical maize.BMC plant biology · 2025Article
- Metabolic plasticity and adaptive evolution inFrontiers in plant science · 2025Review
- Harnessing multi-omics approaches to combat Karnal bunt of wheat: a review of advances and future prospects.Frontiers in genetics · 2025Review
- Dynamic metabolite QTL analyses provide novel biochemical insights into kernel development and nutritional quality improvement in common wheat.Plant communications · 2024Article
- Depicting the genetic and metabolic panorama of chemical diversity in the tea plant.Plant biotechnology journal · 2024Article
- Chemical-tag-based semi-annotated metabolomics facilitates gene identification and specialized metabolic pathway elucidation in wheat.The Plant cell · 2024Article
- Multi-omics assists genomic prediction of maize yield with machine learning approaches.Molecular breeding : new strategies in plant improvement · 2024Article
- Combining association with linkage mapping to dissect the phenolamides metabolism of the maize kernel.Frontiers in plant science · 2024Article
- Metabolic GWAS-based dissection of genetic basis underlying nutrient quality variation and domestication of cassava storage root.Genome biology · 2023Article
- Plant Metabolomics: Current Initiatives and Future Prospects.Current issues in molecular biology · 2023Review
- Non-targeted metabolomics analysis of metabolite changes in two quinoa genotypes under drought stress.BMC plant biology · 2023Article
- Plant biochemical genetics in the multiomics era.Journal of experimental botany · 2023Review
- QT-GWAS: A novel method for unveiling biosynthetic loci affecting qualitative metabolic traits.Molecular plant · 2023Article
- Characterization of novel loci controlling seed oil content in Brassica napus by marker metabolite-based multi-omics analysis.Genome biology · 2023Article
- Hello darkness, my old friend: 3-KETOACYL-COENZYME A SYNTHASE4 is a branch point in the regulation of triacylglycerol synthesis in Arabidopsis thaliana.The Plant cell · 2023Article
25 more citing papers are in PubMed but not listed here.
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Authors and funding
16 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Deciphering the influence of genetics on primary metabolism in plants will provide insights useful for genetic improvement and enhance our fundamental understanding of plant growth and development. Although maize (Zea mays) is a major crop for food and feed worldwide, the genetic architecture of its primary metabolism is largely unknown. Here, we use high-density linkage mapping to dissect large-scale metabolic traits measured in three different tissues (leaf at seedling stage, leaf at reproductive stage, and kernel at 15 d after pollination [DAP]) of a maize recombinant inbred line population. We identify 297 quantitative trait loci (QTLs) with moderate (86.2% of the mapped QTL, R(2) = 2.4 to 15%) to major effects (13.8% of the mapped QTL, R(2) >15%) for 79 primary metabolites across three tissues. Pairwise epistatic interactions between these identified loci are detected for more than 25.9% metabolites explaining 6.6% of the phenotypic variance on average (ranging between 1.7 and 16.6%), which implies that epistasis may play an important role for some metabolites. Key candidate genes are highlighted and mapped to carbohydrate metabolism, the tricarboxylic acid cycle, and several important amino acid biosynthetic and catabolic pathways, with two of them being further validated using candidate gene association and expression profiling analysis. Our results reveal a metabolite-metabolite-agronomic trait network that, together with the genetic determinants of maize primary metabolism identified herein, promotes efficient utilization of metabolites in maize improvement.
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