Phytohormonal networks and thermomemory in plant heat stress tolerance: From mechanistic integration to precision engineering

Clicks: 4
ID: 333729
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #626 of 631 articles by views in Plant physiology and biochemistry : PPB

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 631 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Abstract Rising global temperatures pose a major threat to crop productivity, requiring mechanistically informed, scalable strategies to enhance heat stress (HS) tolerance. Phytohormones are central regulators of plant HS responses; however, tolerance instead emerges from dynamic, context-dependent network behavior. This review provides a mechanism-oriented synthesis of how major phytohormones coordinate HS adaptation. Specifically, we (i) reframe phytohormone action through core regulatory modules, including redox control, carbon-energy allocation, reproductive stability, and growth–defense trade-offs; (ii) resolve phytohormonal crosstalk into functional interaction networks that determine stress outcomes; (iii) define the molecular basis of heat priming and thermomemory; and (iv) evaluate translational strategies, including genetic engineering, precision breeding, and advanced delivery systems, together with their limitations under field conditions. We propose a unifying conceptual model in which HS tolerance is an emergent property of hierarchical phytohormonal networks operating across fast signaling, transcriptional memory, and metabolic buffering layers. This framework shifts the focus from single-pathway manipulation toward precision “hormonomics” and network-level engineering, providing a systems-level platform for developing climate-proof crops in a future, hotter climate.
Reference Key
openalex_W7223358654 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ali Raza, Yiran Li, Kadambot H. M. Siddique, Francisco J. Corpas, Alisdair Robert Fernie, Zhangli Hu
Journal Plant physiology and biochemistry : PPB
Year 2026
DOI
10.1093/plphys/kiag788
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.