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Genome-Wide Mining of MYB Transcription Factors in the Anthocyanin Biosynthesis Pathway of Gossypium Hirsutum.

Yingjie ZhuYing Bao
Published in: Biochemical genetics (2021)
The MYB family, one of the largest transcription factor (TF) families, plays an important role in plant growth, development, and stress response. Although genome-wide analysis of the MYB family has been performed in many species based on sequence similarity, predicting the potential functions of the MYB genes and classifying the regulators into specific metabolic pathways remains difficult. In this study, using a hidden Markov model search and co-expression regulatory network analysis, we demonstrated a process to screen and identify potential MYB TFs in the anthocyanin biosynthesis pathway of Gossypium hirsutum. As a result, we identified 617 and 784 MYB genes (812 in total) from the previously reported and recently released genomes, respectively. Using 126 structural genes involved in the anthocyanin biosynthesis pathway as targets for several co-expression network analyses, we sorted out 31 R2R3-MYB genes, which are potential regulators in the specific pathway. Phylogenetic and collinearity analyses indicated that 83.9% of the 31 MYB genes originated from whole genome duplication or polyploidization. In addition, we revealed relatively specific regulatory relationships between the MYB TFs and their target structural genes. Approximately, 71% of the MYBs could regulate only a single anthocyanin-related structural gene. Moreover, we found that the A- and D- subgenome homoeologs of MYB TFs in G. hirsutum rarely co-regulate the same target gene. The current study not only demonstrated an easy method to rapidly predict potential TFs in a specific metabolic pathway, but also enhanced our understanding of the evolution, gene characteristics, expression, and regulatory pattern of MYB TFs in G. hirsutum.
Keyphrases
  • transcription factor
  • genome wide identification
  • genome wide
  • dna binding
  • poor prognosis
  • dna methylation
  • genome wide analysis
  • network analysis
  • gene expression
  • single cell
  • amino acid