Evidence map›Paper›PMID 39835721›Full record

ArticleMolecular biology and evolution2025

Deciphering Plant NLR Genomic Evolution: Synteny-Informed Classification Unveils Insights into TNL Gene Loss.

Bo-Cheng Guo, Yi-Rong Zhang, Zhi-Guang Liu, Xin-Chu Li, Ze Yu, Bo-Ya Ping, Ya-Qiang Sun, Harrold van den Burg, Feng-Wang Ma, Tao Zhao

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  9. Plant NLRs are getting into higher-order architectures.The Plant journal : for cell and molecular biology · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Current issues in molecular biology · 2025
    Article
  14. 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

10 authors.

Bo-Cheng GuoState Key Laboratory for Crop Stress Resistance and High-Efficiency Production/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling 712100, China.ORCID 0000-0001-5883-0566
Yi-Rong ZhangState Key Laboratory for Crop Stress Resistance and High-Efficiency Production/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling 712100, China.ORCID 0009-0007-9855-2936
Zhi-Guang LiuState Key Laboratory for Crop Stress Resistance and High-Efficiency Production/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling 712100, China.ORCID 0009-0008-4873-0148
Xin-Chu LiState Key Laboratory for Crop Stress Resistance and High-Efficiency Production/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling 712100, China.ORCID 0009-0001-7813-256X
Ze YuState Key Laboratory for Crop Stress Resistance and High-Efficiency Production/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling 712100, China.ORCID 0009-0001-1204-1622
Bo-Ya PingState Key Laboratory for Crop Stress Resistance and High-Efficiency Production/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling 712100, China.ORCID 0000-0002-3247-8581
Ya-Qiang SunState Key Laboratory for Crop Stress Resistance and High-Efficiency Production/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling 712100, China.ORCID 0009-0008-0426-3365
Harrold van den BurgInnovation for Crops, KeyGene, Wageningen, The Netherlands.ORCID 0000-0003-4142-374X
Feng-Wang MaState Key Laboratory for Crop Stress Resistance and High-Efficiency Production/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling 712100, China.ORCID 0000-0003-0608-2521
Tao ZhaoState Key Laboratory for Crop Stress Resistance and High-Efficiency Production/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling 712100, China.ORCID 0000-0001-7302-6445

Funding

Chinese Universities Scientific Fund 2452021133National Key R&D Program of China 2023YFD1202400National Natural Science Foundation of China 32102338
6 · The paper itself

Abstract

Nucleotide-binding leucine-rich repeat receptor (NLR) genes encode a pivotal class of plant immune receptors. However, their rampant duplication and loss have made inferring their genomic evolutionary trajectory difficult, exemplified by the loss of TNL family genes in monocots. In this study, we introduce a novel classification system for angiosperm NLR genes, grounded in network analysis of microsynteny information. This refined classification categorizes these genes into five classes: CNL_A, CNL_B, CNL_C, TNL, and RNL. Compared to the previous classification, we further subdivided CNLs into three subclasses. The credibility of this classification is supported by phylogenetic analysis and examination of protein domain structures. Importantly, this classification enabled a model to explain the extinction of TNL genes in monocots. Compelling microsynteny evidence underscores this revelation, indicating a clear synteny correspondence between the non-TNLs in monocots and the extinct TNL subclass. Our study provides crucial insights into the genomic origin and divergence of plant NLR subfamilies, unveiling the malleability-driven journey that has shaped the functionality and diversity of plant NLR genes.

Indexed as

Evolution, MolecularMagnoliopsidaNLR ProteinsPlant ProteinsSyntenyGenome, PlantPhylogenyNLR ProteinsPlant ProteinsAngiospermsevolutionmicrosynteny networkNLRTIR-NBS-LRR

Identifiers

PMID39835721
PMCPMC11789945

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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.