Genome-Wide Association of Carbon and Nitrogen Metabolism in the Maize Nested Association Mapping Population

被引:67
|
作者
Zhang, Nengyi [1 ]
Gibon, Yves [5 ]
Wallace, Jason G. [1 ]
Lepak, Nicholas [6 ]
Li, Pinghua [2 ]
Dedow, Lauren [2 ]
Chen, Charles [3 ]
So, Yoon-Sup [7 ]
Kremling, Karl [1 ,3 ]
Bradbury, Peter J. [6 ]
Brutnell, Thomas [2 ,4 ]
Stitt, Mark [5 ]
Buckler, Edward S. [1 ,3 ,6 ]
机构
[1] Cornell Univ, Inst Genom Divers, Ithaca, NY 14853 USA
[2] Cornell Univ, Boyce Thompson Inst Plant Res, Ithaca, NY 14853 USA
[3] Cornell Univ, Dept Plant Breeding & Genet, Ithaca, NY 14853 USA
[4] Cornell Univ, Dept Plant Biol, Ithaca, NY 14853 USA
[5] Max Planck Inst Mol Plant Physiol, D-14476 Golm, Germany
[6] ARS, USDA, Robert W Holley Ctr Agr & Hlth, Ithaca, NY 14853 USA
[7] N Carolina State Univ, Dept Crop Sci, Raleigh, NC 27695 USA
基金
美国国家科学基金会;
关键词
GENETIC ARCHITECTURE; ENZYME-ACTIVITIES; QUANTITATIVE RESISTANCE; BUNDLE-SHEATH; LEAF-BLIGHT; ARABIDOPSIS; PLANTS; TRANSCRIPT; EFFICIENCY; EXPRESSION;
D O I
10.1104/pp.15.00025
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Carbon (C) and nitrogen (N) metabolismare 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 C-4 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.
引用
收藏
页码:575 / 583
页数:9
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