Beyond natural variation: The era of rational design in plant immunity

Abstract The evolutionary arms race between crops and pathogens has reached a critical impasse: pathogen adaptation consistently outpaces the development of resistant varieties through conventional breeding. This growing imbalance highlights the need to move beyond the exclusive reliance on natural variation toward more predictive and design‐oriented approaches to crop protection. Here, we argue that rational design of immune components, which enabled by the integration of structural biology, synthetic biology, and artificial intelligence, offers a complementary path to enhance and extend plant immunity. Within this emerging framework, three strategic approaches are beginning to redefine how resistance can be engineered: (1) reprogramming pathogen recognition to counter effector evolution, (2) engineering host proteins to evade pathogen sabotage, and (3) deploying synthetic pathogen‐responsive switches to bypass growth‐defense trade‐offs. Together, these strategies shift the focus from discovering naturally occurring resistance to designing immune functions with defined properties. Although still constrained by biological complexity and implementation challenges, advances in computational protein design and genome engineering are steadily expanding the scope of what can be achieved, pointing toward a more precise and programmable paradigm of plant immunity

Authors

Institutions

Publication Details

Journal
New plant protection.
Published
2026-06-24
DOI
https://doi.org/10.1002/npp2.70046
Primary Topic
Transgenic Plants and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beyond natural variation: The era of rational design in plant immunity

Hengjing Li, Yujing Sun, Zhaomei Qi, Qunqing Wang
New plant protection.
Transgenic Plants and Applications
article

Beyond natural variation: The era of rational design in plant immunity

Hengjing Li, Yujing Sun, Zhaomei Qi, Qunqing Wang
article en

Abstract

Abstract The evolutionary arms race between crops and pathogens has reached a critical impasse: pathogen adaptation consistently outpaces the development of resistant varieties through conventional breeding. This growing imbalance highlights the need to move beyond the exclusive reliance on natural variation toward more predictive and design‐oriented approaches to crop protection. Here, we argue that rational design of immune components, which enabled by the integration of structural biology, synthetic biology, and artificial intelligence, offers a complementary path to enhance and extend plant immunity. Within this emerging framework, three strategic approaches are beginning to redefine how resistance can be engineered: (1) reprogramming pathogen recognition to counter effector evolution, (2) engineering host proteins to evade pathogen sabotage, and (3) deploying synthetic pathogen‐responsive switches to bypass growth‐defense trade‐offs. Together, these strategies shift the focus from discovering naturally occurring resistance to designing immune functions with defined properties. Although still constrained by biological complexity and implementation challenges, advances in computational protein design and genome engineering are steadily expanding the scope of what can be achieved, pointing toward a more precise and programmable paradigm of plant immunity

New plant protection.
Improvement Service (GB), Shandong Agricultural University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Taishan Scholar Project of Shandong Province
Openalex Percentile: Top 9%
Transgenic Plants and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.