马铃薯通用应激蛋白StUSP基因家族的鉴定及逆境表达模式分析
Identification and stress response analysis of universal stress proteins StUSP gene family in potato
王泽民 1田渺 2侯乐乐 2晋昕 1张国栋 3杨江伟 1张宁 1司怀军1
作者信息
- 1. 甘肃农业大学干旱生境作物学国家重点实验室,甘肃兰州 730070;甘肃农业大学生命科学技术学院,甘肃兰州 730070
- 2. 甘肃农业大学生命科学技术学院,甘肃兰州 730070
- 3. 忻州师范学院生物系,山西忻州 034099
- 折叠
摘要
在全基因组和转录组水平系统鉴定马铃薯USP通用应激蛋白基因家族,并对该家族成员的基本特征及其在不同逆境胁迫下的表达模式进行分析.同时以马铃薯干旱耐受型品种'陇薯10号'(L)和干旱敏感型品种'大西洋'(D)为试验材料,利用高通量测序全面分析StUSP家族成员在干旱胁迫下的表达特性,筛选干旱胁迫关键差异表达基因.结果表明:马铃薯基因组中共有42个基因编码含有USP结构域的蛋白质,在11条染色体上不对称分布,且主要分布在1～6号染色体上.绝大多数StUSPs含有多个内含子.胁迫表达分析显示StUSPs能够响应多种非生物胁迫,且在干旱耐受性不同的马铃薯品种中差异表达.同时,利用qRT-PCR分析了 12个成员干旱胁迫下表达模式,除StUSP12、StUSP22下调表达外,其余10个基因均正响应干旱胁迫.
Abstract
In this study,the potato USP genes were examined and identified at the genomic and transcriptome levels,as well as the fundamental characteristics of the members of this gene family.High-throughput sequencing was used to screen key differentially expressed genes under drought stress and conduct a comprehensive analysis of the expression characteristics of StUSP family members under drought stress using the drought-tolerant cultivar'Long 10'(L)and the drought-sensitive cultivar'Atlantic'(D)as experimental materials.The results revealed that there were 42 genes encoding proteins containing USP domains in potato.These genes were asymmetrically dis-tributed on 11 chromosomes,with most of them located on chromosomes 1 to 6.And multiple introns were present in most StUSPs.According to expression analysis,StUSPs might respond to a variety of abiotic stresses and were differentially expressed in potato germplasm with different drought tolerance.At the same time,qRT-PCR was used to analyze the expression patterns of 12 members under drought stress.Except StUSP12 and StUSP22 were downreg-ulated,the other 10 genes were all positively responding to drought stress.
关键词
马铃薯/USP基因家族/鉴定/逆境/干旱胁迫/表达模式Key words
potato/USP gene family/identification/adversity/drought stress/expression mode引用本文复制引用
基金项目
甘肃农业大学科技创新基金-公招博士科研启动基金(GAU-KYQD-2019-06)
甘肃省科技厅青年科技项目(22JR5RA882)
甘肃省科技厅青年科技项目(21JR7RA844)
国家自然科学基金(32260518)
干旱生境作物学国家重点实验室开放基金(GSCS-2022-03)
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据