Evidence map›Paper›PMID 41087871›Full record

ArticleBMC genomics2025

A survey of ADP-ribosyltransferase families in the pathogenic Legionella.

Marianna Krysińska, Marcin Gradowski, Bartosz Baranowski, Krzysztof Pawłowski, Małgorzata Dudkiewicz

Abstract read
In one paragraph

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

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1 · What the graph read from it

What it found

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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

5 authors.

Marianna KrysińskaWarsaw University of Life Sciences - SGGW, Warsaw, Poland.ORCID http://orcid.org/0000-0003-2800-7952
Marcin GradowskiWarsaw University of Life Sciences - SGGW, Warsaw, Poland.ORCID http://orcid.org/0000-0001-7695-5434
Bartosz BaranowskiInstitute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, Poland.ORCID http://orcid.org/0000-0001-5855-4530
Krzysztof PawłowskiUniversity of Texas Southwestern Medical Center, Dallas, TX, USA. krzysztof.pawlowski@utsouthwestern.edu.ORCID http://orcid.org/0000-0002-5367-0935
Małgorzata DudkiewiczWarsaw University of Life Sciences - SGGW, Warsaw, Poland. malgorzata_dudkiewicz@sggw.edu.pl.ORCID http://orcid.org/0000-0003-4432-2530

Funding

Polish National Science Centre 2019/35/N/NZ2/02844Polish National Science Centre 2023/49/N/NZ2/03440
6 · The paper itself

Abstract

backgroundADP-ribosyltransferases (ARTs) are a superfamily of enzymes implicated in various cellular processes, including pathogenic mechanisms. The Legionella genus, known for causing Legionnaires’ disease, possesses diverse ART-like effectors. This study explores the proteomes of 41 Legionella species to bioinformatically identify and characterise novel ART-like families, providing insights into their potential roles in pathogenesis and host interactions.

resultsOur analysis identified 63 proteins with convincing similarity to ARTs, organised into 39 ART-like families, including 26 novel families. Key findings include: ● DUF2971 family: exhibits sequence similarity to DarT toxins and other DNA-acting ARTs. ● DUF4291 family: the largest newly identified family shows structural and sequence similarity to the diphtheria toxin, suggesting the ability to modify proteins. Most members of the novel ART families are predicted effectors. Although experimental validation of the predicted ART effector functions is necessary, the novel ART-like families identified present promising targets for understanding Legionella pathogenicity and developing therapeutic strategies. We published a complete catalogue of our results in the astARTe database: http://bioinfo.sggw.edu.pl/astarte/ .

conclusionDetailed bioinformatic analyses of the proteomes of pathogenic bacteria reveal novel enzyme families likely involved in interactions with the host.

Indexed as

ADP Ribose TransferasesBacterial ProteinsLegionellaAmino Acid SequenceComputational BiologyPhylogenyProteomeADP Ribose TransferasesBacterial ProteinsProteomeADP-ribosyltransferaseastARTeBacterial effectorsLegionellaProtein function predictionProtein sequence analysisProtein structure prediction

Identifiers

PMID41087871
PMCPMC12522546

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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.