Evidence map›Paper›PMID 40038805›Full record

ArticleGenome medicine2025

Genomic insights into the plasmidome of non-tuberculous mycobacteria.

Margo Diricks, Florian P Maurer, Viola Dreyer, Ivan Barilar, Christian Utpatel, Matthias Merker, Nils Wetzstein, Stefan Niemann

Abstract read
In one paragraph

Article in Genome medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Current Perspectives onInternational journal of molecular sciences · 2026
    Review
  3. Clonal spread of Mycobacterium monacense strains among patients with extrapulmonary mycobacteriosis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  4. Article
  5. Giant linear plasmids in Mycobacterium avium harbour a tRNA array unit.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026
    Article
  6. TheMicroorganisms · 2025
    Review
  7. Frontiers in tuberculosis · 2025
    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

8 authors.

Margo DiricksMolecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany. mdiricks@fz-borstel.de.
Florian P MaurerNational and WHO Supranational Reference Laboratory for Mycobacteria, Research Center Borstel, Leibniz Lung Center, Borstel, Germany.
Viola DreyerMolecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.
Ivan BarilarMolecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.
Christian UtpatelMolecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.
Matthias MerkerGerman Center for Infection Research (DZIF), Partner Site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany.
Nils Wetzstein *Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.
Stefan Niemann *Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.

Funding

German Cystic Fibrosis Association Mukoviszidose e.V 2004The Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germanys Excellence Strategy Precision Medicine in Inflammation EXC 2167
6 · The paper itself

Abstract

backgroundNon-tuberculous mycobacteria (NTM) are a diverse group of environmental bacteria that are increasingly associated with human infections and difficult to treat. Plasmids, which might carry resistance and virulence factors, remain largely unexplored in NTM.

methodsWe used publicly available complete genome sequence data of 328 NTM isolates belonging to 125 species to study gene content, genomic diversity, and clusters of 196 annotated NTM plasmids. Furthermore, we analyzed 3755 draft genome assemblies from over 200 NTM species and 5415 short-read sequence datasets from six clinically relevant NTM species or complexes including M. abscessus, M. avium complex, M. ulcerans complex and M. kansasii complex, for the presence of these plasmids.

resultsBetween one and five plasmids were present in approximately one-third of the complete NTM genomes. The annotated plasmids varied widely in length (most between 10 and 400 kbp) and gene content, with many genes having an unknown function. Predicted gene functions primarily involved plasmid replication, segregation, maintenance, and mobility. Only a few plasmids contained predicted genes that are known to confer resistance to antibiotics commonly used to treat NTM infections. Out of 196 annotated plasmid sequences, 116 could be grouped into 31 clusters of closely related sequences, and about one-third were found across multiple NTM species. Among clinically relevant NTM, the presence of NTM plasmids showed significant variation between species, within (sub)species, and even among strains within (sub)lineages, such as dominant circulating clones of Mycobacterium abscessus.

conclusionsOur analysis demonstrates that plasmids are a diverse and heterogeneously distributed feature in NTM bacteria. The frequent occurrence of closely related putative plasmid sequences across different NTM species suggests they may play a significant role in NTM evolution through horizontal gene transfer at least in some groups of NTM. However, further in vitro investigations and access to more complete genomes are necessary to validate our findings, elucidate gene functions, identify novel plasmids, and comprehensively assess the role of plasmids in NTM.

Indexed as

Genome, BacterialGenomicsNontuberculous MycobacteriaPlasmidsHumansMolecular Sequence AnnotationMycobacterium Infections, NontuberculousAntimicrobial resistanceGenomicsNon-tuberculous mycobacteriaPlasmids

Identifiers

PMID40038805
PMCPMC11877719

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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.