|本期目录/Table of Contents|

[1]阮先乐.基于GEO数据库分析水稻低温胁迫关键基因[J].江苏农业科学,2024,52(3):61-66.
 Ruan Xianle.Analysis of key genes of low temperature stress in rice based on GEO database[J].Jiangsu Agricultural Sciences,2024,52(3):61-66.
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基于GEO数据库分析水稻低温胁迫关键基因(PDF)
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《江苏农业科学》[ISSN:1002-1302/CN:32-1214/S]

卷:
第52卷
期数:
2024年第3期
页码:
61-66
栏目:
生物技术
出版日期:
2024-02-05

文章信息/Info

Title:
Analysis of key genes of low temperature stress in rice based on GEO database
作者:
阮先乐
周口师范学院生命科学与农学学院,河南周口 466001
Author(s):
Ruan Xianle
关键词:
水稻GEO数据库低温胁迫共同差异表达基因GO功能分析KEGG信号通路分析
Keywords:
-
分类号:
S511.01;S126
DOI:
-
文献标志码:
A
摘要:
为了筛选水稻在低温胁迫下的关键基因,从GEO数据库下载水稻4个数据集中的70个样本。利用在线分析程序GEO2R进行共同差异表达基因分析,并对这些差异表达基因进行GO、KEGG分析,构建蛋白质互作网络,对关键基因构建热图。结果表明,获得共同差异表达基因51个,其中上调表达基因1个,下调表达基因50个。上述基因的GO分析结果表明,其细胞组成主要集中在细胞、细胞要素和细胞器上;在分子功能上,上述基因的功能主要集中在结合、催化活性上;在生物过程中,上述基因的功能主要集中在细胞过程、代谢过程和生物调控上。KEGG信号通路分析结果表明,上述基因主要参与植物激素信号转导等通路。在构建的共同差异表达基因的蛋白质网络中,有29个节点。另外,得到10个关键基因、2个关键子网络。研究结果为进一步研究水稻低温胁迫关键基因奠定了基础,也有利于水稻低温育种。
Abstract:
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备注/Memo

备注/Memo:
收稿日期:2023-04-10
作者简介:阮先乐(1977—),男,河南淮阳人,硕士,讲师,主要从事植物育种和生物信息学研究。E-mail:ruanxianle@126.com。
更新日期/Last Update: 2024-03-05