Evidence map›Paper›PMID 36644432›Full record

ArticleAccess microbiology2022

Plasmids of the urinary microbiota.

Genevieve Johnson, Seanna Bataclan, Minerva So, Swarnali Banerjee, Alan J Wolfe, Catherine Putonti

Open access · goldAbstract read
In one paragraph

Article in Access microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 40% of its field
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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

6 authors at 3 institutions in 2 countries.

Genevieve JohnsonBioinformatics Program, Loyola University Chicago, Chicago, IL, USA.
Seanna BataclanBiology Program, Division of Natural Sciences, University of Guam, Mangilao, GU, USA.
Minerva SoSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.
Swarnali BanerjeeDepartment of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, USA.
Alan J WolfeDepartment of Microbiology and Immunology, Loyola University Chicago, Maywood, IL, USA.ORCID https://orcid.org/0000-0003-4532-0545
Catherine PutontiBioinformatics Program, Loyola University Chicago, Chicago, IL, USA.ORCID https://orcid.org/0000-0003-3049-5991
Loyola University Chicago · USArizona State University · USUniversity of Guam · GU

Funding

Undergraduate Research Experience in Transdisciplinary Benign Urologic Disease.R25DK122954 · NIDDK · LOYOLA UNIVERSITY CHICAGO · PI Catherine Elizabeth Putonti · 2020 to 2026
$648k
NIDDK NIH HHS R25 DK122954
6 · The paper itself

Abstract

Studies of the last decade have identified a phylogenetically diverse community of bacteria within the urinary tract of individuals with and without urinary symptoms. Mobile genetic elements (MGEs), including plasmids and phages, within this niche have only recently begun to be explored. These MGEs can expand metabolic capacity and increase virulence, as well as confer antibiotic resistance. As such, they have the potential to contribute to urinary symptoms. While plasmids for some of the bacterial taxa found within the urinary microbiota (urobiome) have been well characterized, many urinary species are under-studied with few genomes sequenced to date. Using a two-pronged bioinformatic approach, we have conducted a comprehensive investigation of the plasmid content of urinary isolates representative of 102 species. The bioinformatic tools plasmidSPAdes and Recycler were used in tandem to identify plasmid sequences from raw short-read sequence data followed by manual curation. In total, we identified 603 high-confidence plasmid sequences in 20 different genera of the urobiome. In total, 70 % of these high-confidence plasmids exhibit sequence similarity to plasmid sequences from the gut. This observation is primarily driven by plasmids from

Indexed as

microbiomeplasmidplasmidomeurinary tracturobiome

Identifiers

PMID36644432
PMCPMC9833419
OpenAlexW4310421894

What OpenQuestion holds

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LicenceCC BY
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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.