<p>Plants increasingly face a compound abiotic stress regime that erodes productivity by disrupting cellular redox state, ion balance, and developmental progression. Jasmonates (JAs) operate as a central stress integrator, converting early biophysical and biochemical stress cues (including Ca²⁺/ROS/MAPK signaling) into coordinated transcriptional and metabolic reprogramming. In this review, we synthesized recent advances in jasmonate-mediated abiotic stress acclimation, with an emphasis on the mechanistic determinants of outcome plasticity, including compartmentalized biosynthesis (chloroplast-peroxisome-cytosol), ligand activation, trafficking (JA to JA-Ile and nuclear access control), and switch-like transcriptional control through the SCF^COI1-JAZ-MYC module. We highlight evidence that abiotic stress phenotypes are often dictated less by steady-state JA abundance than by spatiotemporal signaling kinetics. It also includes the signal amplitude, duration, and attenuation, which govern the balance between protective acclimation and growth penalties. We further define conserved hormone-network motifs that gate jasmonate outputs, including JA–GA, JA–ET, JA-SA, and JA-ABA interactions. By integrating stress-resolved evidence with pathway control-point logic, we propose that yield-safe resilience depends on tissue-specific and stress-inducible tuning of jasmonate signaling rather than constitutive pathway activation. Finally, by integrating stress-resolved case studies with pathway “control-point” logic, we propose a translational framework in which yield-safe resilience is achieved by precision shaping of jasmonate signal waves-tissue-specific, stress-inducible amplification coupled to rapid recovery-phase shutoff-rather than constitutive pathway activation. Collectively, this review provides a mechanistic and systems-level foundation for deploying jasmonate biology to improve climate resilience in crops.</p> Graphical Abstract <p></p>

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Jasmonic Acid and Abiotic Stress Tolerance: From Metabolic Flux to Hormone-Network Decision Making

  • Nazma Khan,
  • Burhan Khalid,
  • Muhammad Atiq Ashraf,
  • Umair Khan,
  • Rizwan Maqbool

摘要

Plants increasingly face a compound abiotic stress regime that erodes productivity by disrupting cellular redox state, ion balance, and developmental progression. Jasmonates (JAs) operate as a central stress integrator, converting early biophysical and biochemical stress cues (including Ca²⁺/ROS/MAPK signaling) into coordinated transcriptional and metabolic reprogramming. In this review, we synthesized recent advances in jasmonate-mediated abiotic stress acclimation, with an emphasis on the mechanistic determinants of outcome plasticity, including compartmentalized biosynthesis (chloroplast-peroxisome-cytosol), ligand activation, trafficking (JA to JA-Ile and nuclear access control), and switch-like transcriptional control through the SCF^COI1-JAZ-MYC module. We highlight evidence that abiotic stress phenotypes are often dictated less by steady-state JA abundance than by spatiotemporal signaling kinetics. It also includes the signal amplitude, duration, and attenuation, which govern the balance between protective acclimation and growth penalties. We further define conserved hormone-network motifs that gate jasmonate outputs, including JA–GA, JA–ET, JA-SA, and JA-ABA interactions. By integrating stress-resolved evidence with pathway control-point logic, we propose that yield-safe resilience depends on tissue-specific and stress-inducible tuning of jasmonate signaling rather than constitutive pathway activation. Finally, by integrating stress-resolved case studies with pathway “control-point” logic, we propose a translational framework in which yield-safe resilience is achieved by precision shaping of jasmonate signal waves-tissue-specific, stress-inducible amplification coupled to rapid recovery-phase shutoff-rather than constitutive pathway activation. Collectively, this review provides a mechanistic and systems-level foundation for deploying jasmonate biology to improve climate resilience in crops.

Graphical Abstract