Discovery of functional NLRs using expression level, high-throughput transformation and large-scale phenotyping

Protecting crops from diseases is vital for the sustainable agricultural systems that are needed for food security. Introducing functional resistance genes to enhance the plant immune system is highly effective for disease resistance, but identifying new immune receptors is resource intensive. We observed that functional immune receptors of the nucleotide-binding domain leucine-rich repeat (NLR) class show a signature of high expression in uninfected plants across both monocot and dicot species. Here, by exploiting this signature combined with high-throughput transformation, we generated a wheat transgenic array of 995 NLRs from diverse grass species to identify new resistance genes for wheat. Confirming this proof of concept, we identified new resistance genes against the stem rust pathogen Puccinia graminis f. sp. tritici and the leaf rust pathogen Puccinia triticina, both major threats to wheat production. This pipeline facilitates the rapid identification of candidate NLRs and provides in planta gene validation of resistance. The accelerated discovery of new NLRs from a large gene pool of diverse and non-domesticated plant species will enhance the development of disease-resistant crops.

Authors

Institutions

Publication Details

Journal
Nature Plants
Published
2025-09-23
DOI
https://doi.org/10.1038/s41477-025-02110-w
Citations
2
Primary Topic
Plant-Microbe Interactions and Immunity
Type
article
Field-Weighted Citation Impact
3.50

Funders

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

Discovery of functional NLRs using expression level, high-throughput transformation and large-scale phenotyping

Noriko Ishikawa, Naoki Takemori, Toshihiko Komari, H. Peter van Esse et al.
2 citations
Nature Plants
Plant-Microbe Interactions and Immunity
3.50
article

Discovery of functional NLRs using expression level, high-throughput transformation and large-scale phenotyping

Noriko Ishikawa, Naoki Takemori, Toshihiko Komari, H. Peter van Esse, Hironobu Numazawa, Chizu Yanagihara, Antonín Dreiseitl, Kamil Witek, Oadi Matny, Inmaculada Hernández‐Pinzón, Amelia Hubbard, Toshiyuki Komori, Brian J. Steffenson, Matthew Moscou, Helen J. Brabham, Phon Green, Alexis Feist, Roger Freedman
article en
2 citations

Abstract

Protecting crops from diseases is vital for the sustainable agricultural systems that are needed for food security. Introducing functional resistance genes to enhance the plant immune system is highly effective for disease resistance, but identifying new immune receptors is resource intensive. We observed that functional immune receptors of the nucleotide-binding domain leucine-rich repeat (NLR) class show a signature of high expression in uninfected plants across both monocot and dicot species. Here, by exploiting this signature combined with high-throughput transformation, we generated a wheat transgenic array of 995 NLRs from diverse grass species to identify new resistance genes for wheat. Confirming this proof of concept, we identified new resistance genes against the stem rust pathogen Puccinia graminis f. sp. tritici and the leaf rust pathogen Puccinia triticina, both major threats to wheat production. This pipeline facilitates the rapid identification of candidate NLRs and provides in planta gene validation of resistance. The accelerated discovery of new NLRs from a large gene pool of diverse and non-domesticated plant species will enhance the development of disease-resistant crops.

Nature PlantsVol. 11(10)
University of East Anglia (GB), University of Minnesota (US), Kaneka (United States) (US), National Institute of Agricultural Botany (GB), Sainsbury Laboratory (GB), 2Blades Foundation (US), Japan Tobacco (Japan) (JP), Agricultural Research Institute Kromeriz (CZ), DSF Charitable Foundation (US), Cereal Disease Laboratory (US), Agrotest Fyto (Czechia)
U.S. Department of Agriculture, University of Minnesota, Directorate for Biological Sciences, Agricultural Research Service
Openalex Percentile: Top 7%
Plant-Microbe Interactions and Immunity
3.50
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.