Analysis of drought and heat stress response genes in rice using co-expression network and differentially expressed gene analyses.

ABSTRACT: Studies on Oryza sativa (rice) are crucial for improving agricultural productivity and ensuring global sustenance security, especially considering the increasing drought and heat stress caused by extreme climate change. Currently, the genes and mechanisms underlying drought and heat resistance in rice are not fully understood, and the scope for enhancing the development of new strains remains considerable. To accurately identify the key genes related to drought and heat stress responses in rice, multiple datasets from the Gene Expression Omnibus (GEO) database were integrated in this study. A co-expression network was constructed using a Weighted Correlation Network Analysis (WGCNA) algorithm. We further distinguished the core network and intersected it with differentially expressed

SUBMITTER: Cao G 

PROVIDER: S-EPMC11067907 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature