Evidence map›Paper›PMID 36221266›Full record

ArticlePeerJ2022

Genomic differences between sequence types 1 and 104 of

Anusak Kerdsin, Dan Takeuchi, Yukihiro Akeda, Shota Nakamura, Marcelo Gottschalk, Kazunori Oishi

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2022. 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
0.6field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. HumanTropical medicine and infectious disease · 2022
    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

6 authors at 5 institutions in 3 countries.

Anusak KerdsinFaculty of Public Health, Kasetsart University Chalermphrakiat Sakon Nakhon Province Campus, Sakon Nakhon, Thailand.ORCID 0000-0003-1055-3656
Dan TakeuchiResearch Institute for Microbial Diseases, Osaka University, Osaka, Japan.
Yukihiro AkedaResearch Institute for Microbial Diseases, Osaka University, Osaka, Japan.
Shota NakamuraGenome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan.
Marcelo GottschalkFaculty of Veterinary Medicine, University of Montreal, Québec, Canada.
Kazunori OishiToyama Institute of Health, Toyama, Japan.
The University of Osaka · JPKasetsart University · THNational Institute of Infectious Diseases · JPToyama Institute of Health · JPUniversité de Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: An ST1 isolate (ID26154) from the cerebrospinal fluid of a patient with meningitis and an ST104 isolate (ID24525) from the blood of a patient with sepsis were subjected to shotgun pyrosequencing using the 454 GS Junior System. Genomic comparison was conducted between the ST1 isolate and the ST104 isolate using the Artemis Comparison Tool (ACT) to identify the region of differences (RDs) between ST1 and ST104. Results: Fifty-eight RDs were unique to the ST104 genome and were mainly involved in metabolism and cell functional activities, cell wall anchored proteins, bacteriophages and mobile genetic elements, ABC-type transporters, two-component signal transductions, and lantibiotic proteins. Some virulence genes mostly found in ST1 strains were also present in the ST104 genome. Whole-genome comparison is a powerful tool for identifying genomic region differences between different STs of

Indexed as

SepsisStreptococcal InfectionsStreptococcus suisAnimalsGenomicsHumansSerogroupSwineGenomeRegion of differenceSequence typeStreptococcus suisVirulence-associated gene

Identifiers

PMID36221266
PMCPMC9548313
OpenAlexW4303201720

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.