This study explored the identification, structural characterization, and phylogenetic analysis of TCP transcription factors in the sugar beet genome. Employing a conserved TCP domain Hidden Markov Model, we successfully annotated 15 BvTCP genes. Structural analysis revealed a single-exon organization across these BvTCP genes and assessed their physico-chemical properties. Phylogenetic analysis using the Maximum-Likelihood method categorized the BvTCP proteins into three clades, including PCF, CYC/TB1, and CIN, aligning with previous findings in other plant species and suggesting functional similarities. Taken together, this study provides a comprehensive overview of the TCP family in sugar beet, contributing to the understanding of their evolutionary and functional dynamics, and lays the foundation for future genetic research and breeding strategies aimed at improving this important crop.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Identification and Structural Analysis of the TCP Transcription Factor in Sugar Beet Using Bioinformatics Tools

  • Man Thi Le,
  • Thuy Ngoc Ngo,
  • Ngoc Thi Bich Chu,
  • Lan Thi Mai Tran,
  • Huyen Thi Thanh Tran,
  • Hong Viet La,
  • Ha Duc Chu,
  • Van Huy Nguyen,
  • Bang Phi Cao

摘要

This study explored the identification, structural characterization, and phylogenetic analysis of TCP transcription factors in the sugar beet genome. Employing a conserved TCP domain Hidden Markov Model, we successfully annotated 15 BvTCP genes. Structural analysis revealed a single-exon organization across these BvTCP genes and assessed their physico-chemical properties. Phylogenetic analysis using the Maximum-Likelihood method categorized the BvTCP proteins into three clades, including PCF, CYC/TB1, and CIN, aligning with previous findings in other plant species and suggesting functional similarities. Taken together, this study provides a comprehensive overview of the TCP family in sugar beet, contributing to the understanding of their evolutionary and functional dynamics, and lays the foundation for future genetic research and breeding strategies aimed at improving this important crop.