Evidence map›Paper›PMID 39513706›Full record

ArticleMicrobiology spectrum2024

Phylogenomics of novel clones of

Opeyemi U Lawal, Noah Bryan, Valeria R Parreira, Rebecca Anderson, Yanhong Chen, Melinda Precious, Lawrence Goodridge

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Draft genome sequence ofMicrobiology resource announcements · 2026
    Article
  2. First Report and Integrated Characterization ofAnimals : an open access journal from MDPI · 2026
    Article
  3. Draft genome sequences of twoMicrobiology resource announcements · 2026
    Article
  4. Article
  5. 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

7 authors.

Opeyemi U LawalCanadian Research Institute for Food Safety (CRIFS), University of Guelph, Guelph, Ontario, Canada.ORCID 0000-0003-2352-2832
Noah BryanCanadian Research Institute for Food Safety (CRIFS), University of Guelph, Guelph, Ontario, Canada.
Valeria R ParreiraCanadian Research Institute for Food Safety (CRIFS), University of Guelph, Guelph, Ontario, Canada.
Rebecca AndersonCanadian Research Institute for Food Safety (CRIFS), University of Guelph, Guelph, Ontario, Canada.
Yanhong ChenCanadian Research Institute for Food Safety (CRIFS), University of Guelph, Guelph, Ontario, Canada.
Melinda PreciousCanadian Research Institute for Food Safety (CRIFS), University of Guelph, Guelph, Ontario, Canada.
Lawrence GoodridgeCanadian Research Institute for Food Safety (CRIFS), University of Guelph, Guelph, Ontario, Canada.ORCID 0009-0008-9965-3509

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aquatic ecosystems serve as crucial reservoirs for pathogens and antimicrobial resistance genes, thus presenting a significant global health risk. Here, we investigated the phylogenomics of IMPORTANCE: Lakes and other aquatic ecosystems can harbor harmful bacteria that can make people sick and resist antibiotics, posing a significant global health risk. In this study, we investigated

Indexed as

Aeromonas veroniiLakesMultigene FamilyPhylogenyAnti-Bacterial AgentsDrug Resistance, BacterialDrug Resistance, Multiple, BacterialGenetic VariationGenome, BacterialHumansOntarioVirulenceVirulence FactorsWhole Genome SequencingAnti-Bacterial AgentsVirulence FactorsAeromonasantimicrobial resistancebiosynthetic gene clusterfreshwater lakegenomicsglobal population structurepublic healthwater quality

Identifiers

PMID39513706
PMCPMC11619367

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.