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Plant Cell. 2015 Jul;27(7):1839-56. doi: 10.1105/tpc.15.00208. Epub 2015 Jul 17.

Genetic Determinants of the Network of Primary Metabolism and Their Relationships to Plant Performance in a Maize Recombinant Inbred Line Population.

Author information

1
National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany.
2
National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.
3
Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany.
4
National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China yjianbing@mail.hzau.edu.cn fernie@mpimp-golm.mpg.de.
5
Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany yjianbing@mail.hzau.edu.cn fernie@mpimp-golm.mpg.de.

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.

PMID:
26187921
PMCID:
PMC4531352
DOI:
10.1105/tpc.15.00208
[Indexed for MEDLINE]
Free PMC Article

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