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白菜HSP90基因家族的鉴定及表达分析 被引量:2

Identification and Expression Analysis of HSP90 Gene Family in Chinese Cabbage
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摘要 本研究为了深入研究白菜(Brassica rapa)热激蛋白90(heat shock protein 90, HSP90)家族基因在温度胁迫下的响应机理及相关功能,利用生物信息学的方法对白菜HSP90基因家族成员进行了鉴定,同时分析了这些家族成员的理化性质、基因结构、进化关系、染色体分布、启动子元件以及表达模式。结果表明:白菜中至少含有14个HSP90基因,氨基酸长度在490~820之间,呈酸性,分布于10条染色体上,含有1~19个不等的内含子,10个保守基序;基于系统进化树分析,将14个基因分为5个簇;顺式作用元件分析得到7个响应温度胁迫基因;荧光定量分析表明这些基因在温度胁迫下存在显著差异,表明这些基因广泛参与温度胁迫响应。本研究为后续白菜HSP90基因功能挖掘提供科学参考。 In order to study the response mechanism and related functions of the heat shock protein 90(HSP90) gene family under temperature stress in Chinese cabbage, we have identified HSP90 gene family members in Chinese cabbage by bioinformatics analysis. And the physicochemical properties, gene structure, chromosome distribution, evolutionary relationship, promoter elements, and expression patterns of these genes were analyzed.The results showed that more than 14 HSP90 family genes were found in Chinese cabbage, and the amino acids length ranged from 490 to 820. These genes were acidic and distributed on 10 chromosomes, including 1 to 19introns and 10 conserved motifs. Phylogenetic analysis suggested that 14 genes were divided into 5 clusters.Analysis of cis-elements found 7 genes responded to temperature stress. The transcription level of these genes was markedly altered under thermal stresses, indicating that these genes were widely involved in temperature stress.This study provided scientific reference for further study the roles of HSP90 in Chinese cabbage.
作者 袁凌云 吴颖 张利婷 郑禹杉 聂立兵 朱世东 侯金锋 陈国户 唐小燕 汪承刚 Yuan Lingyun;Wu Yingi;Zhang Liting;Zheng Yushan;Nie Libing;Zhu Shidong;Hou Jinfeng;Chen Guohu;Tang Xiaoyan;Wang Chenggang(College of Horticulture,Anhui Agricultural University,Hefei,230036;Anhui Wanjiang Vegetable Industrial Technology Institute,Maanshan,238200)
出处 《分子植物育种》 CAS 北大核心 2022年第24期8064-8073,共10页 Molecular Plant Breeding
基金 国家自然科学基金项目(31701910) 安徽省重点研究和开发计划项目(201904a06020057) 安徽省学术和技术带头人后备人选项目(2018H181)共同资助。
关键词 白菜 热激蛋白 全基因组鉴定 表达分析 Chinese cabbage Heat shock protein Genome-wide identification Expression analysis
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