Evidence map›Paper›PMID 40428420›Full record

ArticleGenes2025

RiceReceptor: The Cell-Surface and Intracellular Immune Receptors of the

Baihui Jin, Jian Dong, Xiaolong Hu, Na Li, Xiaohua Li, Dawei Long, Xiaoni Wu

Abstract read
In one paragraph

Article in Genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Baihui JinFaculty of Agronomy and Life Science, Kunming University, Kunming 650201, China.
Jian DongCollege of Plant Protection, Yunnan Agricultural University, Kunming 650201, China.
Xiaolong HuFaculty of Agronomy and Life Science, Kunming University, Kunming 650201, China.
Na LiPu'er Agricultural Science Research Institute, Pu'er 665000, China.
Xiaohua LiPu'er Agricultural Science Research Institute, Pu'er 665000, China.
Dawei LongHealthcare School, Tacheng Vocational and Technical College, Wusu 834700, China.
Xiaoni WuFaculty of Agronomy and Life Science, Kunming University, Kunming 650201, China.

Funding

National Natural Science Foundation of China 2460319Talent introduction project XJ20230063the Special Basic Cooperative Research Programs of Yunnan Provincial Undergraduate Universities' Associations 202101BA070001-154the Special Basic Cooperative Research Programs of Yunnan Provincial Undergraduate Universities' Associations 202201AU070021
6 · The paper itself

Abstract

introductionRice, a cornerstone of global food security, faces escalating demands for enhanced yield and disease resistance. We collected 300 high-quality genomes, representing both cultivated (

methodsLeveraging HMMER, NLR-Annotator, and OrthoFinder, we systematically identified 148,077 leucine-rich repeat (LRR) and 143,459 nucleotide-binding leucine-rich repeat (NLR) genes, with LRR receptor-like kinases (LRR-RLKs) dominating immune receptor proportions, followed by coiled-coil domain containing (CNL)-type NLRs and LRR receptor-like proteins (LRR-RLPs).

resultsBenchmarking Universal Single-Copy Orthologs (BUSCO) assessments confirmed robust genome quality (average score: 94.78). Strikingly, 454 TIR-NB-LRR (TNL) genes-typically rare in monocots-were detected, challenging prior assumptions. Phylogenetic analysis with Arabidopsis TNLs highlighted five

conclusionsBy bridging structural genomics, evolutionary dynamics, and domestication-driven adaptation, this work provides a foundation for targeted breeding strategies and advances functional studies of plant immunity in rice.

Indexed as

OryzaPlant ImmunityPlant ProteinsDisease ResistanceGenome, PlantNLR ProteinsPhylogenyNLR ProteinsPlant Proteinsbiotic stressleucine-rich repeatnucleotide-binding leucine-rich repeatresistanceRiceReceptor

Identifiers

PMID40428420
PMCPMC12110996

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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.