The raw data and uncropped images are available via figshare at https://doi.org/10.6084/m9.figshare.28680800.v1 (ref. 139 ).
Open resource ↗figshare · 10.6084/m9.figshare.28680800.v1 · lines:159-171Unverified paper record
Discovery of functional NLRs using expression level, high-throughput transformation and large-scale phenotyping.
Nature plants · 23 Sept 2025 · 10.1038/s41477-025-02110-w
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.
Plant phenotyping relevance
995個のNLRを対象とする高スループット形質評価パイプラインを構築し、植物体内で病害抵抗性表現型を検証することが研究の中心であるため、単なる生物学的測定ではない。
abstractHere, 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.
abstractThis pipeline facilitates the rapid identification of candidate NLRs and provides in planta gene validation of resistance.
Code and data availability
The authors deposited the paper's raw phenotyping data, uncropped images, and analysis/figure scripts in a public figshare repository, explicitly linked in the Data availability and Code availability sections. Other URLs (TGRC, NASC, FAT-CAT, QKbusco, iTOL, HMMER) are stock centers or third-party tools, not paper-quali
The scripts used for data analysis and figure preparation are available via figshare at https://doi.org/10.6084/m9.figshare.28680800.v1 (ref. 139 ).
Open resource ↗figshare · 10.6084/m9.figshare.28680800.v1 · lines:159-171This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.