Evidence map›Paper›PMID 41125861›Full record

ArticleCommunications biology2025

Quantitative proteome of bacterial periplasmic predation by Bdellovibrio bacteriovorus reveals a prey-lytic protease.

Ting F Lai, Denis Jankov, Jonas Grossmann, Bernd Roschitzki, Simona G Huwiler

Abstract read
In one paragraph

Article in Communications biology, 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

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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

5 authors.

Ting F LaiDepartment of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0009-0006-7170-2538
Denis JankovDepartment of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0009-0006-4969-9432
Jonas GrossmannFunctional Genomics Center Zurich, University of Zurich/ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-6899-9020
Bernd RoschitzkiFunctional Genomics Center Zurich, University of Zurich/ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-5756-9773
Simona G HuwilerDepartment of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland. simona.huwiler@uzh.ch.ORCID http://orcid.org/0000-0002-4876-9308

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) PZ00P3_193401
6 · The paper itself

Abstract

The rise of antimicrobial resistant pathogens calls for novel ways to kill and damage bacteria. A rich source for bacterial cell-damaging proteins is the periplasmic predatory bacterium Bdellovibrio bacteriovorus, which invades, kills and subsequently exits the prey cell. An increased understanding of predatory protein function can be achieved by analyzing their relative abundance at key stages of predation. We present the first quantitative proteome covering the complete predatory life cycle of B. bacteriovorus killing Escherichia coli, quantifying 2195 predator proteins. Protein clustering reveals nine distinct clusters sharing similar expression patterns. Notably, the protease Bd2269 is highly abundant during the prey exit phase. Gene knockout and heterologous expression experiments reveal that Bd2269 is involved in the prey exit process and lyses E. coli from within. Our quantitative predator proteome is a valuable resource to study specific stages of the predatory life cycle, contributing to advancing the search for novel antimicrobial enzymes.

Indexed as

Bacterial ProteinsBdellovibrio bacteriovorusEscherichia coliPeptide HydrolasesPeriplasmProteomeProteomicsBacterial ProteinsPeptide HydrolasesProteome

Identifiers

PMID41125861
PMCPMC12546842

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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.