Evidence map›Paper›PMID 41549209›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Precision Editing of NLRS Improves Effector Recognition for Enhanced Disease Resistance.

Vinit Kumar, Vishwa I P W A Kumara, Pradeepa C G Bandaranayake, Dong Yawen, Yang-Yang Gao, Junfeng Liu, Ge-Fei Hao, Xiu-Fang Xin

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Precision Editing of NLRS Improves Effector Recognition for Enhanced Disease Resistance.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Vinit KumarState Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Center For Research and Development of Fine Chemicals, Ministry of Education, Guizhou University, Guiyang, P. R. China.ORCID https://orcid.org/0000-0002-3665-8272
Vishwa I P W A KumaraState Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Center For Research and Development of Fine Chemicals, Ministry of Education, Guizhou University, Guiyang, P. R. China.
Pradeepa C G BandaranayakeAgriculture Biotechnology Centre, Faculty of Agriculture, University of Peradeniya, Colombo, Sri Lanka.
Dong YawenState Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Center For Research and Development of Fine Chemicals, Ministry of Education, Guizhou University, Guiyang, P. R. China.
Yang-Yang GaoState Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Center For Research and Development of Fine Chemicals, Ministry of Education, Guizhou University, Guiyang, P. R. China.
Junfeng LiuState Key Laboratory of Maize Bio-Breeding, Joint International Research Laboratory of Crop Molecular Breeding, Ministry of Agriculture Key Laboratory for Crop Pest Monitoring and Green Control, China Agricultural University, Beijing, P. R. China.
Ge-Fei HaoState Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Center For Research and Development of Fine Chemicals, Ministry of Education, Guizhou University, Guiyang, P. R. China.ORCID https://orcid.org/0000-0002-5412-6982
Xiu-Fang XinNational Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, P. R. China.

Funding

Central Government Guides Local Science and Technology Development Fund Projects Qiankehezhongyindi (2023) 001National Key Research and Development Program of China 2024YFE0214300National Natural Science Foundation of China 32125033Science and Technology Planning Project of Guizhou Province, Key project 028 Qiankehejichu-ZK[2024]
6 · The paper itself

Abstract

Plant pathogens pose a significant threat to global food security by causing up to 80% agricultural yield losses. Nucleotide-binding, leucine-rich repeat immune receptors (NLRs) were widely proved to protect plants from a wide array of pathogens evasion. Recent studies have shown significant progress in bioengineering NLRs to enhance plant immunity through improved pathogen recognition, investigation of immune evasion, and structural insights into NLR functions. However, bioengineering NLRs for enhanced plant immunity faces key challenges of maintaining specificity, addressing pathogen evolution, and minimizing autoactivity risks. Here, we synthesize recent advances in understanding NLR biology and highlight key bioengineering strategies, including mismatched pairs, domain swapping, and targeted mutagenesis, that leverage this knowledge to enhance disease resistance. The successful applications of NLRs precision editing strategies have also been demonstrated to improve resistance in various plants, showcasing their overall effectiveness. This review highlights promising avenues to strengthen plant immunity against pathogens, which have enormous potential for application in agriculture and breeding techniques.

Indexed as

Disease ResistanceGene EditingNLR ProteinsPlant DiseasesPlant ImmunityInnate Immunity RecognitionPlants, Genetically ModifiedNLR Proteinscrop protectiondisease resistanceeffector recognitionNLR bioengineeringplant immunityresistosome engineering

Identifiers

PMID41549209
PMCPMC12915092

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.