Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis

Min Jin, Xuehai Zhang, Mingchao Zhao, Min Deng, Yuanhao Du, Yang Zhou, Shouchuang Wang, Takayuki Tohge, Alisdair R. Fernie, Lothar Willmitzer, Yariv Brotman, Jianbing Yan, Weiwei Wen

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

Background: Flavonoids constitute a diverse class of secondary metabolites which exhibit potent bioactivities for human health and have been indicated to play an important role in plant development and defense. However, accumulation and variation of flavonoid content in diverse maize lines and the genes responsible for their biosynthesis in this important crop remain largely unknown. In this study, we combine genetic mapping, metabolite profiling and gene regulatory network analysis to further enhance understanding of the maize flavonoid pathway. Results: We repeatedly detected 25 QTL corresponding to 23 distinct flavonoids across different environments or populations. In addition, a total of 39 genes were revealed both by an expression based network analysis and genetic mapping. Finally, the function of three candidate genes, including two UDP-glycosyltransferases (UGT) and an oxygenase which belongs to the flavone synthase super family, was revealed via preliminary molecular functional characterization. Conclusion: We explored the genetic influences on the flavonoid biosynthesis based on integrating the genomic, transcriptomic and metabolomic information which provided a rich source of potential candidate genes. The integrated genomics based genetic mapping strategy is highly efficient for defining the complexity of functional genetic variants and their respective regulatory networks as well as in helping to select candidate genes and allelic variance before embarking on laborious transgenic validations.

Original languageEnglish
Article number17
JournalBMC Plant Biology
Volume17
Issue number1
DOIs
StatePublished - 18 Jan 2017

Keywords

  • Association analysis
  • Co-expression network
  • Flavonoid
  • Linkage mapping
  • Maize
  • Natural variation

ASJC Scopus subject areas

  • Plant Science

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