An integrated multi-layered analysis of the metabolic networks of different tissues uncovers key genetic components of primary metabolism in maize

Weiwei Wen, Min Jin, Kun Li, Haijun Liu, Yingjie Xiao, Mingchao Zhao, Saleh Alseekh, Wenqiang Li, Francisco de Abreu e Lima, Yariv Brotman, Lothar Willmitzer, Alisdair R. Fernie, Jianbing Yan

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

Primary metabolism plays a pivotal role in normal plant growth, development and reproduction. As maize is a major crop worldwide, the primary metabolites produced by maize plants are of immense importance from both calorific and nutritional perspectives. Here a genome-wide association study (GWAS) of 61 primary metabolites using a maize association panel containing 513 inbred lines identified 153 significant loci associated with the level of these metabolites in four independent tissues. The genome-wide expression level of 760 genes was also linked with metabolite levels within the same tissue. On average, the genetic variants at each locus or transcriptional variance of each gene identified here were estimated to have a minor effect (4.4–7.8%) on primary metabolic variation. Thirty-six loci or genes were prioritized as being worthy of future investigation, either with regard to functional characterization or for their utility for genetic improvement. This target list includes the well-known opaque 2 (O2) and lkr/sdh genes as well as many less well-characterized genes. During our investigation of these 36 loci, we analyzed the genetic components and variations underlying the trehalose, aspartate and aromatic amino acid pathways, thereby functionally characterizing four genes involved in primary metabolism in maize.

Original languageEnglish
Pages (from-to)1116-1128
Number of pages13
JournalPlant Journal
Volume93
Issue number6
DOIs
StatePublished - 1 Mar 2018

Keywords

  • GWAS
  • Zea mays
  • amino acids
  • functional verification
  • primary metabolism
  • trehalose

ASJC Scopus subject areas

  • Genetics
  • Plant Science
  • Cell Biology

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