Programmable design of synthetic plant immune receptors for pathogen protein recognition

The limited diversity and recognition scope of natural plant immune receptors impede resistance breeding against rapidly evolving pathogens. Here we report programmable design of synthetic plant immune receptors (SPIRs). De novo designed binding modules targeting pathogen proteins were grafted into the integrated decoy (ID) domain of a plant immune receptor. SPIRs recognized proteins derived from viral, bacterial, fungal, and oomycete pathogens. Their performance was improved by combining AI-guided protein design with in planta directed evolution, enhancing immune activation while reducing autoactivation. SPIRs exhibited high target specificity and could be stacked for multiplexed recognition of pathogen proteins. Importantly, viral-targeting SPIRs responded to infectious clones of plant viruses, and transgenic plants expressing SPIRs conferred disease resistance. This work establishes a versatile platform for efficient plant immunity engineering.

Authors

Institutions

Publication Details

Journal
Science
Published
2026-07-23
DOI
https://doi.org/10.1126/science.aee1792
Primary Topic
Transgenic Plants and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Programmable design of synthetic plant immune receptors for pathogen protein recognition

Kevin T. Zhao, Haocheng Zhu, Caixia Gao, Dandan Jiang et al.
Science
Transgenic Plants and Applications
article

Programmable design of synthetic plant immune receptors for pathogen protein recognition

Kevin T. Zhao, Haocheng Zhu, Caixia Gao, Dandan Jiang, Qiao Zhang, Jin‐Long Qiu, Kang Zhang
article en

Abstract

The limited diversity and recognition scope of natural plant immune receptors impede resistance breeding against rapidly evolving pathogens. Here we report programmable design of synthetic plant immune receptors (SPIRs). De novo designed binding modules targeting pathogen proteins were grafted into the integrated decoy (ID) domain of a plant immune receptor. SPIRs recognized proteins derived from viral, bacterial, fungal, and oomycete pathogens. Their performance was improved by combining AI-guided protein design with in planta directed evolution, enhancing immune activation while reducing autoactivation. SPIRs exhibited high target specificity and could be stacked for multiplexed recognition of pathogen proteins. Importantly, viral-targeting SPIRs responded to infectious clones of plant viruses, and transgenic plants expressing SPIRs conferred disease resistance. This work establishes a versatile platform for efficient plant immunity engineering.

Science
Institute of Genetics and Developmental Biology (CN), Institute of Mechanics (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 12%
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.