Evidence map›Paper›PMID 39191765›Full record

ArticleNature communications2024

The role of TIR domain-containing proteins in bacterial defense against phages.

Shuangshuang Wang, Sirong Kuang, Haiguang Song, Erchao Sun, Mengling Li, Yuepeng Liu, Ziwei Xia, Xueqi Zhang, Xialin Wang, Jiumin Han and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. TIR-like NADases act in bacterial immunity and the RNA vault.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. TIR innovations in plant immunity.The New phytologist · 2026
    Review
  12. Article
  13. Article
  14. Article
  15. Cat1 forms filament networks to degrade NADScience (New York, N.Y.) · 2025
    Article
  16. Review
  17. Review
  18. Review
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

14 authors.

Shuangshuang WangState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.ORCID 0009-0001-4682-1555
Sirong KuangState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.
Haiguang SongState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.
Erchao SunState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.
Mengling LiState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.
Yuepeng LiuState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.
Ziwei XiaState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.
Xueqi ZhangState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.
Xialin WangState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.
Jiumin HanState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.
Venigalla B RaoBacteriophage Medical Research Center, Department of Biology, The Catholic University of America, Washington, DC, 20064, USA.ORCID 0000-0002-0777-6587
Tingting ZouState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.ORCID 0000-0002-7240-1378
Chen TanState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.ORCID 0000-0003-4622-4483
Pan TaoState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China. taopan@mail.hzau.edu.cn.ORCID 0000-0002-0082-2229

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32170094Natural Science Foundation of Hubei Province (Hubei Provincial Natural Science Foundation) 2021CFA016
6 · The paper itself

Abstract

Toll/interleukin-1 receptor (TIR) domain-containing proteins play a critical role in immune responses in diverse organisms, but their function in bacterial systems remains to be fully elucidated. This study, focusing on Escherichia coli, addresses how TIR domain-containing proteins contribute to bacterial immunity against phage attack. Through an exhaustive survey of all E. coli genomes available in the NCBI database and testing of 32 representatives of the 90% of the identified TIR domain-containing proteins, we found that a significant proportion (37.5%) exhibit antiphage activities. These defense systems recognize a variety of phage components, thus providing a sophisticated mechanism for pathogen detection and defense. This study not only highlights the robustness of TIR systems in bacterial immunity, but also draws an intriguing parallel to the diversity seen in mammalian Toll-like receptors (TLRs), enriching our understanding of innate immune mechanisms across life forms and underscoring the evolutionary significance of these defense strategies in prokaryotes.

Indexed as

BacteriophagesEscherichia coliProtein DomainsEscherichia coli ProteinsImmunity, InnateReceptors, Interleukin-1Toll-Like ReceptorsEscherichia coli ProteinsReceptors, Interleukin-1Toll-Like Receptors

Identifiers

PMID39191765
PMCPMC11350192

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.