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

Area of Science:

• Plant Biology
• Genomics
• Molecular Biology

Background:

• Salt stress poses a significant threat to wheat production, causing osmotic imbalance, ion toxicity, and reactive oxygen species (ROS) accumulation.
• Salt-tolerant wheat cultivars exhibit adaptive mechanisms, but their regulatory networks are not fully understood.

Purpose of the Study:

• To investigate the dynamic regulatory networks governing salt tolerance in wheat using time-series transcriptomic data.
• To identify key genes and pathways involved in wheat's response to salt stress.

Main Methods:

• Reanalyzed time-series RNA-seq data from a salt-tolerant wheat cultivar (Xiaoyan22) under salt stress.
• Constructed a time-series-based co-expression network using weighted gene co-expression network analysis (WGCNA).
• Performed functional enrichment analysis and qRT-PCR validation.

Main Results:

• Identified a 'black module' significantly correlated with salt treatment and duration, showing increased eigengene expression.
• Genes in the black module are enriched in DNA replication, genome stability, RNA metabolism, phenylpropanoid metabolism, and cuticle biosynthesis.
• Physiological assays confirmed enhanced antioxidant enzyme activities (SOD, POD, CAT), proline and soluble sugar accumulation, and MDA levels.
• Validated induction of candidate genes like ZAR1-like receptor kinase, Remorin, and NETWORKED 1D.

Conclusions:

• The study provides insights into the molecular mechanisms of wheat salt tolerance by identifying crucial regulatory networks and candidate genes.
• Findings support future efforts in molecular breeding for enhanced wheat salt tolerance.