Genome-wide association of carbon and nitrogen metabolism in the maize nested association mapping population.
Nengyi ZhangYves GibonMitchell TuinstraNicholas LepakPinghua LiLauren K DedowCharles ChenYoon-Sup SoKarl KremlingPeter J BradburyThomas BrutnellMark StittEdward S BucklerPublished in: Plant physiology (2015)
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.
Keyphrases
- genome wide association
- genome wide
- high resolution
- plant growth
- high throughput
- amino acid
- ms ms
- case control
- high density
- copy number
- nitric oxide
- dna methylation
- single cell
- blood pressure
- metabolic syndrome
- genome wide analysis
- drinking water
- gene expression
- electronic health record
- machine learning
- transcription factor
- type diabetes
- small molecule
- mass spectrometry
- insulin resistance
- protein protein