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Background <p>Abscisic acid (ABA) plays a central role in regulating plant responses to abiotic stress. It orchestrates a complex regulatory network that facilitates the transition from growth to defense. Understanding the molecular mechanisms underlying this ABA-induced transition from growth to defense is essential for elucidating plant adaptive strategies under environmental stress conditions.</p> Results <p>In this study, we used a refined dynamic network biomarker (DNB) approach to quantitatively identify the critical transition signal (CTS) and characterize the regulated stochasticity during the ABA-induced transition from growth to defense in <i>Arabidopsis thaliana</i>. By integrating high-resolution time-series RNA-seq data with dynamic network analysis, we identified a set of DNB genes that serve as key molecular regulators of this transition. The critical transition phase was identified precisely at the ninth time point (6&#xa0;h after treatment), which marks the crucial switch from a growth-dominated to a defense -oriented state. Gene Ontology (GO) enrichment analysis revealed a significant overrepresentation of defense-related biological processes, while STRING network analysis revealed strong functional interactions between <i>DNB</i> genes and differentially expressed genes (DEGs) and highlighted key regulatory hubs. In particular, key hub genes such as <i>PIF4</i>, <i>TPS8</i>, <i>NIA1</i>, and <i>HSP90</i>-5 were identified as potential master regulators of ABA-mediated defense activation, highlighting their importance for plant stress adaptation.</p> Conclusions <p>By integrating a network-driven transcriptomic analysis, this study provides new insights into the molecular basis of ABA-induced transitions from growth to defense. The identification of CTS provides a new perspective on regulated stochasticity in plant stress responses and provides a conceptual framework for improving crop stress resistance. In addition, the establishment of a comprehensive database of ABA-responsive defense genes represents a valuable resource for future research on plant adaptation and resilience.</p>

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Identification of critical transition signal (CTS) to characterize regulated stochasticity during ABA-induced growth-to-defense transition

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年4月24日

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  • Rasmieh Hamid,
  • Bahman Panahi,
  • Feba Jacob,
  • Amir Ghaffar Shahriari

摘要

Background

Abscisic acid (ABA) plays a central role in regulating plant responses to abiotic stress. It orchestrates a complex regulatory network that facilitates the transition from growth to defense. Understanding the molecular mechanisms underlying this ABA-induced transition from growth to defense is essential for elucidating plant adaptive strategies under environmental stress conditions.

Results

In this study, we used a refined dynamic network biomarker (DNB) approach to quantitatively identify the critical transition signal (CTS) and characterize the regulated stochasticity during the ABA-induced transition from growth to defense in Arabidopsis thaliana. By integrating high-resolution time-series RNA-seq data with dynamic network analysis, we identified a set of DNB genes that serve as key molecular regulators of this transition. The critical transition phase was identified precisely at the ninth time point (6 h after treatment), which marks the crucial switch from a growth-dominated to a defense -oriented state. Gene Ontology (GO) enrichment analysis revealed a significant overrepresentation of defense-related biological processes, while STRING network analysis revealed strong functional interactions between DNB genes and differentially expressed genes (DEGs) and highlighted key regulatory hubs. In particular, key hub genes such as PIF4, TPS8, NIA1, and HSP90-5 were identified as potential master regulators of ABA-mediated defense activation, highlighting their importance for plant stress adaptation.

Conclusions

By integrating a network-driven transcriptomic analysis, this study provides new insights into the molecular basis of ABA-induced transitions from growth to defense. The identification of CTS provides a new perspective on regulated stochasticity in plant stress responses and provides a conceptual framework for improving crop stress resistance. In addition, the establishment of a comprehensive database of ABA-responsive defense genes represents a valuable resource for future research on plant adaptation and resilience.