From signals to solutions: stress-induced leaf senescence and synthetic biology and AI approaches for crop resilience
Shu-Ning Ren, Chen-Yu Zhu, Yu-Qiong Wang, Tian Bu, Zhonghai Li, Weilun Yin, Xinli Xia, Hou-Ling Wang · 2026
Read From signals to solutions: stress-induced leaf senescence and synthetic biology and AI approaches for crop resilience by Shu-Ning Ren, Chen-Yu Zhu, Yu-Qiong Wang, Tian Bu, Zhonghai Li, Weilun Yin, Xinli Xia, Hou-Ling Wang (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13255390.txt.
Description
Shu-Ning Ren and co-authors review stress-driven leaf aging in a 2026 review. Leaf senescence is the final leaf stage, when green pigment breaks down and nutrients are recycled. Stress can speed it up, hurting crop yield and quality. The review maps the signals behind aging triggered by drought-linked hormones, darkness, low nitrogen, low carbon, and pathogen attack.
The authors then survey fixes: synthetic biology tools to delay harmful aging and raise stress tolerance, plus machine learning and deep learning for breeding. They argue that grasping these signal pathways is essential for breeding crops that keep yield under stress.
Catalog record
| CREATOR | Shu-Ning Ren, Chen-Yu Zhu, Yu-Qiong Wang, Tian Bu, Zhonghai Li, Weilun Yin, Xinli Xia, Hou-Ling Wang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 66875 |
| LICENSE | https://creativecommons.org/publicdomain/zero/1.0 |
| RIGHTS | CC0 |
| SOURCE | Europe PMC |