Evidence map›Paper›PMID 41025327›Full record

ArticleeLife2025

Non-cognate immunity proteins provide broader defenses against interbacterial effectors in microbial communities.

Abigail Knecht, Denise Sirias, Daniel R Utter, Karine A Gibbs

Abstract read
In one paragraph

Article in eLife, 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. 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

4 authors.

Abigail Knecht *Departments of Molecular and Cellular Biology, Harvard University, Cambridge, United States.ORCID https://orcid.org/0000-0003-1084-1623
Denise Sirias *Departments of Molecular and Cellular Biology, Harvard University, Cambridge, United States.
Daniel R UtterDepartments of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.ORCID https://orcid.org/0000-0003-3322-7108
Karine A GibbsDepartments of Molecular and Cellular Biology, Harvard University, Cambridge, United States.ORCID https://orcid.org/0000-0002-1246-6401

Funding

Joint Program in Molecules, Cells, and OrganismsT32GM135143 · NIGMS · HARVARD UNIVERSITY · PI D'SOUZA, VICTORIA MANUEL · 2020 to 2024
$3.2M
NIGMS NIH HHS T32 GM135143NIH HHS T32GM135143
6 · The paper itself

Abstract

Dense microbial communities, like the gut and soil microbiomes, are dynamic societies. Bacteria can navigate these environments by deploying proteins that alter foreign cells' behavior, such as interbacterial effectors. Current models suggest that adjacent sibling cells are protected by an immunity protein, as compared to toxin-antitoxin systems that act only within the effector-producing cell. A prevailing hypothesis is that immunity proteins binding to specific (cognate) protein partners is sufficient to disrupt effector function. Further, there is little-to-no crosstalk with other non-cognate effectors. In this research, we build on sporadic reports challenging these hypotheses. We show that immunity proteins from a newly defined protein family can bind and protect against non-cognate PD-(D/E)XK-containing effectors from diverse phyla. We describe the domains essential for binding and function and show that binding alone is insufficient for protective activity in

Indexed as

BacteriaBacterial ProteinsMicrobiotaProteus mirabilisHumansBacterial Proteinsbacterial communitiesDNA nucleaseeffector immunity pairsgeneticsgenomicsinfectious diseasemicrobiologyPD-(D/E)XK-containing proteinProteus mirabilisself/non-self recognition

Identifiers

PMID41025327
PMCPMC12483513

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.