Time-Series-Based Co-Expression Network Analysis Reveals Key Regulatory Modules and Hub Genes in Salt-Tolerant Wheat Under Salt Stress

TL;DR

This study identifies key genes and pathways in salt-tolerant wheat under salt stress using co-expression network analysis.

Contribution

The study introduces a time-series-based co-expression network approach to uncover regulatory modules and hub genes in salt-tolerant wheat.

Findings

The black module is significantly correlated with salt stress duration and treatment.

Genes in the black module are linked to DNA replication, RNA metabolism, and cuticle biosynthesis.

Candidate genes like ZAR1-like receptor kinase are validated as stress-responsive.

Abstract

Salt stress severely constrains wheat growth and yield by inducing osmotic imbalance, ion toxicity, and excessive accumulation of reactive oxygen species (ROS). Although salt-tolerant cultivars can adapt through rapid signaling transduction and maintenance of cellular homeostasis, the underlying dynamic regulatory networks remain insufficiently characterized. In this study, we reanalyzed publicly available time-series RNA-seq data (0, 1, 3, 6, 12, and 24 h) from the salt-tolerant wheat cultivar Xiaoyan22 under salt stress and constructed a time-series-based co-expression network using weighted gene co-expression network analysis (WGCNA). Multiple gene modules were identified, among which the black module showed significant positive correlations with both salt treatment (treatment_bin) and stress duration (time_h). This module displayed a progressively increasing eigengene expression pattern throughout the stress period. Gene significance (GS) was positively correlated with module membership (MM), facilitating the identification of highly connected hub genes within this module. Functional enrichment analysis indicated that genes in the black module were primarily associated with DNA replication and genome stability maintenance, RNA metabolic regulation, phenylpropanoid metabolism, and cuticle/suberin/wax biosynthesis. Physiological analysis further revealed enhanced activities of superoxide (SOD), peroxide (POD), and catalase (CAT), enhanced accumulation of proline and soluble sugars, and a time-dependent increase in MDA under salt stress. qRT-PCR confirmed significant induction of candidate genes, including a ZAR1-like receptor kinase, Remorin, and NETWORKED 1D. Collectively, these findings integrate co-expression network inference with physiological and molecular validation, providing candidate regulators and pathways for understanding salt tolerance and supporting future molecular breeding efforts.

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