ArticlePlant physiology2015
Genome-wide association of carbon and nitrogen metabolism in the maize nested association mapping population.
Article in Plant physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed.
- Natural variation in the adjustment of primary metabolism determines ammonium tolerance in the model grass Brachypodium distachyon.Journal of experimental botany · 2024Article
- Identification of metabolic and protein markers representative of the impact of mild nitrogen deficit on agronomic performance of maize hybrids.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Dissection of Common Rust Resistance in Tropical Maize Multiparent Population through GWAS and Linkage Studies.Plants (Basel, Switzerland) · 2024Article
- Maximizing the Radiation Use Efficiency by Matching the Leaf Area and Leaf Nitrogen Vertical Distributions in a Maize Canopy: A Simulation Study.Plant phenomics (Washington, D.C.) · 2024Article
- Something seedy going on: HEAT SHOCK PROTEIN90.6 links carbon and nitrogen metabolism in seed development.Plant physiology · 2023Article
- Dynamic Regulation of Lipid Droplet Biogenesis in Plant Cells and Proteins Involved in the Process.International journal of molecular sciences · 2023Review
- Natural variation of respiration-related traits in plants.Plant physiology · 2023Review
- Prediction of evolutionary constraint by genomic annotations improves functional prioritization of genomic variants in maize.Genome biology · 2022Article
- Using breeding and quantitative genetics to understand the C4 pathway.Journal of experimental botany · 2022Article
- Genome-wide association mapping and genomic prediction of yield-related traits and starch pasting properties in cassava.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Advances and Challenges for QTL Analysis and GWAS in the Plant-Breeding of High-Yielding: A Focus on Rapeseed.Biomolecules · 2021Review
- Genome-wide association mapping for agronomic traits in an 8-way Upland cotton MAGIC population by SLAF-seq.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- The utility of metabolomics as a tool to inform maize biology.Plant communications · 2021Review
- Hyperspectral reflectance-based phenotyping for quantitative genetics in crops: Progress and challenges.Plant communications · 2021Review
- Maize metabolome and proteome responses to controlled cold stress partly mimic early-sowing effects in the field and differ from those of Arabidopsis.Plant, cell & environment · 2021Article
- Metabolic Profile Discriminates and PredictsMetabolites · 2021Article
- Transcriptomic and genome-wide association study reveal long noncoding RNAs responding to nitrogen deficiency in maize.BMC plant biology · 2021Article
- Recent Advances in Carbon and Nitrogen Metabolism in C3 Plants.International journal of molecular sciences · 2020Review
- Multi-parent populations in crops: a toolbox integrating genomics and genetic mapping with breeding.Heredity · 2020Review
- Reconstructing the maize leaf regulatory network using ChIP-seq data of 104 transcription factors.Nature communications · 2020Article
Corrections and comments
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Authors and funding
13 authors.
Funding
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Abstract
Carbon (C) and nitrogen (N) metabolism are critical to plant growth and development and are at the basis of crop yield and adaptation. We performed high-throughput metabolite analyses on over 12,000 samples from the nested association mapping population to identify genetic variation in C and N metabolism in maize (Zea mays ssp. mays). All samples were grown in the same field and used to identify natural variation controlling the levels of 12 key C and N metabolites, namely chlorophyll a, chlorophyll b, fructose, fumarate, glucose, glutamate, malate, nitrate, starch, sucrose, total amino acids, and total protein, along with the first two principal components derived from them. Our genome-wide association results frequently identified hits with single-gene resolution. In addition to expected genes such as invertases, natural variation was identified in key C4 metabolism genes, including carbonic anhydrases and a malate transporter. Unlike several prior maize studies, extensive pleiotropy was found for C and N metabolites. This integration of field-derived metabolite data with powerful mapping and genomics resources allows for the dissection of key metabolic pathways, providing avenues for future genetic improvement.
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