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茶树GASA基因家族的生物信息学分析

王艳 叶凡 王坤 聂嘉玲 吴媛媛 刘国峰 刘慧娟

信阳师范学院学报(自然科学版)2025,Vol.38Issue(1):24-33,10.
信阳师范学院学报(自然科学版)2025,Vol.38Issue(1):24-33,10.DOI:10.3969/j.issn.2097-583X.2025.01.004

茶树GASA基因家族的生物信息学分析

Bioinformatics analysis of GASA gene family in tea tree

王艳 1叶凡 2王坤 1聂嘉玲 1吴媛媛 1刘国峰 1刘慧娟3

作者信息

  • 1. 信阳师范大学生命科学学院/河南省茶树生物学重点实验室,河南信阳 464000
  • 2. 浙江农林大学林业与生物技术学院,浙江杭州 310000
  • 3. 琼台师范学院理学院/热带生物多样性与资源利用实验室,海南海口 571127
  • 折叠

摘要

Abstract

GASA (Gibberellic acid-stimulated in arabidopsis) is a group of plant-specific transcription factors related to plant growth,development and stress response. Using a bioinformatics approach to explore the whole genome sequence of tea tree,29 GASA genes were identified in the tea tree genome and numbered according to the chromosomal arrangement as CsGASA1-CsGASA29. Phylogenetic analysis,conserved motif analysis,collinearity analysis,cis-acting element analysis and expression analysis were performed to show that CsGASA is classified into three subfamilies and encodes 64-218 amino acids;a total of six conserved motifs are identified;four CsGASA are originated from segmental duplication events,and five CsGASA from tandem duplication events;53% of the cis-acting elements are the key links in plant environmental response;some of CsGASA gene expression are response to drought,low temperature and salt stresses,and CsGASA3 gene is highly expressed only in roots.

关键词

茶树/GASA基因/进化分析/生物信息学分析

Key words

tea tree/GASA gene/evolutionary analysis/bioinformatics analysis

分类

农业科学

引用本文复制引用

王艳,叶凡,王坤,聂嘉玲,吴媛媛,刘国峰,刘慧娟..茶树GASA基因家族的生物信息学分析[J].信阳师范学院学报(自然科学版),2025,38(1):24-33,10.

基金项目

国家自然科学基金项目(81700283) (81700283)

信阳师范大学"南湖学者奖励计划"青年项目 ()

信阳师范学院学报(自然科学版)

1003-0972

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