Functional Plant Biology, Journal Year: 2025, Volume and Issue: 52(3)
Published: Feb. 16, 2025
We applied a systems biology approach to gain deep insight into the regulatory mechanisms of barley (Hordeum vulgare) under drought and waterlogging stress conditions. To identify informative models related conditions, we constructed meta-analysis two distinct weighted gene co-expression networks. then performed module trait association analyses. Additionally, conducted functional enrichment analysis significant modules shed light on biological performance underlying genes in contrasting stresses. In next step, inferred networks between top hub modules, kinases, transcription factors (TFs) using machine learning algorithm. Our results showed that at power = 10, scale-free topology fitting index (R2) was higher than 0.8 connectivity mean became stable. identified 31 co-expressed barley, with 13 14 demonstrating associations stress, respectively. Functional indicated these stress-responsive are involved critical processes, including ADP-rybosylation (ARF) protein signal transduction, ethylene-induced autophagy, phosphoric ester hydrolase activity. Specific TFs such as C2C2-GATA, HB-BELL, MADS-MIKC, were key regulators Furthermore, certain kinases established unique connections response These findings enhance our understanding molecular modulate barley’s stresses, offering insights essential for adaptation.
Language: Английский
