Diverse Roles of MAX1 Homologues in Rice

Genes (Basel). 2020 Nov 13;11(11):1348. doi: 10.3390/genes11111348.

Abstract

Cytochrome P450 enzymes encoded by MORE AXILLARY GROWTH1 (MAX1)-like genes produce most of the structural diversity of strigolactones during the final steps of strigolactone biosynthesis. The diverse copies of MAX1 in Oryza sativa provide a resource to investigate why plants produce such a wide range of strigolactones. Here we performed in silico analyses of transcription factors and microRNAs that may regulate each rice MAX1, and compared the results with available data about MAX1 expression profiles and genes co-expressed with MAX1 genes. Data suggest that distinct mechanisms regulate the expression of each MAX1. Moreover, there may be novel functions for MAX1 homologues, such as the regulation of flower development or responses to heavy metals. In addition, individual MAX1s could be involved in specific functions, such as the regulation of seed development or wax synthesis in rice. Our analysis reveals potential new avenues of strigolactone research that may otherwise not be obvious.

Keywords: co-expression gene network; developmental processes; gene expression in silico; microRNA; stress response; strigolactones; transcription factors.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Arabidopsis Proteins / genetics
  • Computer Simulation
  • Gene Expression Regulation, Plant
  • Gene Ontology
  • Gene Regulatory Networks
  • Heterocyclic Compounds, 3-Ring / metabolism
  • Lactones / metabolism
  • MicroRNAs / genetics
  • Oryza / genetics*
  • Oryza / growth & development
  • Plant Proteins / genetics*
  • Plant Proteins / metabolism
  • Promoter Regions, Genetic
  • RNA, Plant / genetics
  • Transcription Factors / genetics*
  • Transcription Factors / metabolism

Substances

  • Arabidopsis Proteins
  • GR24 strigolactone
  • Heterocyclic Compounds, 3-Ring
  • Lactones
  • MAX1 protein, Arabidopsis
  • MicroRNAs
  • Plant Proteins
  • RNA, Plant
  • Transcription Factors