Hub Gene Mining and Co-Expression Network Construction of Low-Temperature Response in Maize of Seedling by WGCNA
文献类型: 外文期刊
作者: Yu, Tao 1 ; Zhang, Jianguo 1 ; Cao, Jingsheng 1 ; Ma, Xuena 1 ; Li, Wenyue 1 ; Yang, Gengbin 1 ;
作者机构: 1.Heilongjiang Acad Agr Sci, Maize Res Inst, Harbin 150086, Peoples R China
2.Northeast Agr Univ, Dept Hort, Key Lab Biol & Genet Improvement Hort Crops Northe, Minist Agr & Rural Affairs, Changjiang 600, Harbin 150030, Peoples R China
3.Key Lab Germplasm Resources Creat & Utilizat Maize, Harbin 150086, Peoples R China
关键词: maize; low-temperature stress; weighted gene co-expression network; transcriptome; the seedling stage
期刊名称:GENES ( 影响因子:3.5; 五年影响因子:3.9 )
ISSN:
年卷期: 2023 年 14 卷 8 期
页码:
收录情况: SCI
摘要: Weighted gene co-expression network analysis (WGCNA) is a research method in sys-tematic biology. It is widely used to identify gene modules related to target traits in multi-sample transcriptome data. In order to further explore the molecular mechanism of maize response to low-temperature stress at the seedling stage, B144 (cold stress tolerant) and Q319 (cold stress sensitive) provided by the Maize Research Institute of Heilongjiang Academy of Agricultural Sciences were used as experimental materials, and both inbred lines were treated with 5 degrees C for 0 h, 12 h, and 24 h, with the untreated material as a control. Eighteen leaf samples were used for transcriptome sequencing, with three biological replicates. Based on the above transcriptome data, co-expression networks of weighted genes associated with low-temperature-tolerance traits were constructed by WGCNA. Twelve gene modules significantly related to low-temperature tolerance at the seedling stage were obtained, and a number of hub genes involved in low-temperature stress regulation path-ways were discovered from the four modules with the highest correlation with target traits. These results provide clues for further study on the molecular genetic mechanisms of low-temperature tolerance in maize at the seedling stage.
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