Evidence map›Paper›PMID 40347139›Full record

ArticleNucleic acids research2025

Unveiling the multifaceted domain polymorphism of the Menshen antiphage system.

Huan Li, Yongjun Tan, Dwaipayan Basu, Kevin D Corbett, Dapeng Zhang

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

5 authors.

Huan LiDepartment of Biology, College of Arts and Sciences, Saint Louis University, Saint Louis, MO 63103, United States.
Yongjun TanDepartment of Biology, College of Arts and Sciences, Saint Louis University, Saint Louis, MO 63103, United States.
Dwaipayan BasuDepartment of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA 92093, United States.
Kevin D CorbettDepartment of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, United States.
Dapeng ZhangDepartment of Biology, College of Arts and Sciences, Saint Louis University, Saint Louis, MO 63103, United States.ORCID 0000-0001-8535-7620

Funding

Molecular mechanisms of nucleic acid recognition and maintenance in meiosis and innate immunityR35GM144121 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Kevin Daniel Corbett · 2022 to 2026
$2.7M
NIGMS NIH HHS R35 GM144121NIH HHS R35 GM144121Saint Louis University
6 · The paper itself

Abstract

Recent advances have significantly enriched our understanding of complex bacteria-phage interactions. To date, over one hundred bacterial antiphage systems have been identified, yet the mechanisms of many, including the recently discovered Menshen system, remain elusive. We employed comparative genomics and protein bioinformatics for a systematic investigation of the Menshen system, focusing on its organization, structure, function, and evolution. By delineating six primary domain determinants and predicting their functions, we propose that the three components (NsnA-B-C) of Menshen likely act as sensor, transducer, and effector modules, respectively. Notably, we unveil remarkable polymorphism in domain composition within both NsnA and NsnC. NsnA proteins universally share ParB-DUF262 and DNA-binding ParBDB domains, and often include additional DNA-binding modules at their N-termini. NsnC effectors exhibit diverse inactive PIN (inPIN)-like domains for target recognition in their N-termini, and multiple nuclease domains for toxicity in their C-termini. We demonstrate that this multifaceted polymorphism results from the independent integration of various sensor domains into NsnA, alongside constant shuffling and diversification of the inPIN and effector domains in NsnC. These findings not only elucidate the functional diversity and inter-subunit interactions of the Menshen system, but also underscore its exceptional capacity for adaptability and versatility in the ongoing arms race between bacteria and phages.

Indexed as

Bacterial ProteinsBacteriophagesDNA-Binding ProteinsPolymorphism, GeneticProtein DomainsBacterial ProteinsDNA-Binding Proteins

Identifiers

PMID40347139
PMCPMC12065111

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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.