WGCNA Analysis Identifies the Hub Genes Related to Heat Stress in Seedling of Rice (Oryza sativa L.)
文献类型： 外文期刊
作者： Wang, Yubo 1 ; Wang, Yingfeng 1 ; Liu, Xiong 1 ; Zhou, Jieqiang 1 ; Deng, Huabing 1 ; Zhang, Guilian 1 ; Xiao, Yunhua 1 ; Tang, Wenbang 1 ;
作者机构： 1.Hunan Agr Univ, Coll Agron, Changsha 410128, Peoples R China
2.Hunan Hybrid Rice Res Ctr, State Key Lab Hybrid Rice, Changsha 410125, Peoples R China
关键词： WGCNA; heat stress; modules
期刊名称：GENES （ 影响因子：4.141； 五年影响因子：4.474 ）
ISSN：
年卷期： 2022 年 13 卷 6 期
页码：
收录情况： SCI
摘要： Frequent high temperature weather affects the growth and development of rice, resulting in the decline of seed-setting rate, deterioration of rice quality and reduction of yield. Although some high temperature tolerance genes have been cloned, there is still little success in solving the effects of high temperature stress in rice (Oryza sativa L.). Based on the transcriptional data of seven time points, the weighted correlation network analysis (WGCNA) method was used to construct a co-expression network of differentially expressed genes (DEGs) between the rice genotypes IR64 (tolerant to heat stress) and Koshihikari (susceptible to heat stress). There were four modules in both genotypes that were highly correlated with the time points after heat stress in the seedling. We further identified candidate hub genes through clustering and analysis of protein interaction network with known-core genes. The results showed that the ribosome and protein processing in the endoplasmic reticulum were the common pathways in response to heat stress between the two genotypes. The changes of starch and sucrose metabolism and the biosynthesis of secondary metabolites pathways are possible reasons for the sensitivity to heat stress for Koshihikari. Our findings provide an important reference for the understanding of high temperature response mechanisms and the cultivation of high temperature resistant materials.
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