Evidence map›Paper›PMID 41097852›Full record

ArticlePlant communications2025

The pan-NLRome and diversity of Watkins wheat provide genetic resources for improving disease resistance and adaptation.

Weidong Ning, Zhiye Ye, Shaojie Ye, Wenfei Xian, Tanrui Zou, Zijian Liu, Wenzheng Wang, Baizhi Chen, Weibo Xie, Shifeng Cheng and 1 more

Abstract read
In one paragraph

Article in Plant communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Pan-NLRome ofFrontiers in plant science · 2026
    Article
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

11 authors.

Weidong NingShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Zhiye YeShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Shaojie YeShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Wenfei XianShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; Department of Molecular Biology, Max Planck Institute for Biology Tübingen, 72076 Tübingen, Germany.
Tanrui ZouShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Zijian LiuShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.
Wenzheng WangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Baizhi ChenSorghum Breeding and Cultivation Physiology Laboratory, Sorghum Institute, Liaoning Academy of Agricultural Sciences, Shenyang, China.
Weibo XieNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.
Shifeng ChengShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; School of Biological Sciences, University of Hong Kong, Pokfulam, Hong Kong, China; State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong, China. Electronic address: chengshifeng@caas.cn.
Bo SongShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China. Electronic address: songbo01@caas.cn.

Funding

Non-US Government Research Support type
6 · The paper itself

Abstract

The nucleotide-binding domain leucine-rich repeat (NLR) receptor proteins play pivotal roles in plant disease resistance due to their extensive genetic diversity driven by long-term co-evolution with pathogens. In this study, we present a comprehensive wheat pan-NLRome containing 8056 NLR genes, which display remarkable diversity in gene structure, nucleotide variation, and presence-absence polymorphisms across the A.E. Watkins landrace collection. Comparative analysis between the landraces and modern cultivars revealed that 1316 NLRs were gained, and 1179 NLRs were lost during wheat breeding. Furthermore, we identified 221 spatial pairs of NLR genes in the genome, which show co-evolutionary patterns similar to those of physical NLR pairs. Finally, we identified 1710 candidate NLR genes potentially involved in resistance to various diseases or environmental adaptation. Overall, our study establishes a comprehensive and diversified NLR gene resource that will facilitate the discovery and utilization of genes for disease resistance and climate adaptation in wheat.

Indexed as

Disease ResistanceGenetic VariationNLR ProteinsPlant DiseasesPlant ProteinsTriticumAdaptation, PhysiologicalGenes, PlantGenome, PlantNLR ProteinsPlant ProteinsGWASNLR gene pairpan-NLRomewheat

Identifiers

PMID41097852
PMCPMC12744731

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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 OpenQuestion graph.