Genome-Wide Association of Carbon and Nitrogen Metabolism in the Maize Nested Association Mapping Population1[OPEN]

Genetic variants of maize identify genes and regions that control core carbon and nitrogen metabolism. 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 1...

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Veröffentlicht in:Plant physiology (Bethesda) 2015-04, Vol.168 (2), p.575-583
Hauptverfasser: Zhang, Nengyi, Gibon, Yves, Wallace, Jason G., Lepak, Nicholas, Li, Pinghua, Dedow, Lauren, Chen, Charles, So, Yoon-Sup, Kremling, Karl, Bradbury, Peter J., Brutnell, Thomas, Stitt, Mark, Buckler, Edward S.
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Sprache:eng
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Zusammenfassung:Genetic variants of maize identify genes and regions that control core carbon and nitrogen metabolism. 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 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.
ISSN:0032-0889
1532-2548
DOI:10.1104/pp.15.00025