Evidence map›Paper›PMID 30513098›Full record

ArticlePloS one2018

An improved DNA array-based classification method for the identification of Salmonella serotypes shows high concordance between traditional and genotypic testing.

James Robertson, Catherine Yoshida, Simone Gurnik, Madison McGrogan, Kristin Davis, Gitanjali Arya, Stephanie A Murphy, Anil Nichani, John H E Nash

Abstract read
In one paragraph

Article in PloS one, 2018. 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
–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

3 citing papers in PubMed.

  1. Review
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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

9 authors.

James RobertsonPublic Health Agency of Canada, National Microbiology Laboratory, Guelph, Ontario, Canada.ORCID 0000-0002-8534-5694
Catherine YoshidaPublic Health Agency of Canada, National Microbiology Laboratory, Winnipeg, Ontario, Canada.
Simone GurnikPublic Health Agency of Canada, National Microbiology Laboratory, Guelph, Ontario, Canada.
Madison McGroganPublic Health Agency of Canada, National Microbiology Laboratory, Guelph, Ontario, Canada.
Kristin DavisPublic Health Agency of Canada, National Microbiology Laboratory, Guelph, Ontario, Canada.
Gitanjali AryaPublic Health Agency of Canada, National Microbiology Laboratory, Guelph, Ontario, Canada.
Stephanie A MurphyPublic Health Agency of Canada, National Microbiology Laboratory, Guelph, Ontario, Canada.
Anil NichaniPublic Health Agency of Canada, National Microbiology Laboratory, Guelph, Ontario, Canada.
John H E NashPublic Health Agency of Canada, National Microbiology Laboratory, Guelph, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previously we developed and tested the Salmonella GenoSerotyping Array (SGSA), which utilized oligonucleotide probes for O- and H- antigen biomarkers to perform accurate molecular serotyping of 57 Salmonella serotypes. Here we describe the development and validation of the ISO 17025 accredited second version of the SGSA (SGSA v. 2) with reliable and unambiguous molecular serotyping results for 112 serotypes of Salmonella which were verified both in silico and in vitro. Improvements included an expansion of the probe sets along with a new classifier tool for prediction of individual antigens and overall serotype from the array probe intensity results. The array classifier and probe sequences were validated in silico to high concordance using 36,153 draft genomes of diverse Salmonella serotypes assembled from public repositories. We obtained correct and unambiguous serotype assignments for 31,924 (88.30%) of the tested samples and a further 3,916 (10.83%) had fully concordant antigen predictions but could not be assigned to a single serotype. The SGSA v. 2 can directly use bacterial colonies with a limit of detection of 860 CFU/mL or purified DNA template at a concentration of 1.0 x 10-1 ng/μl. The SGSA v. 2 was also validated in the wet laboratory and certified using panel of 406 samples representing 185 different serotypes with correct antigen and serotype determinations for 60.89% of the panel and 18.31% correctly identified but an ambiguous overall serotype determination.

Indexed as

Genotyping TechniquesFood SafetyInternetLimit of DetectionOligonucleotide Array Sequence AnalysisSalmonellaSerotyping

Identifiers

PMID30513098
PMCPMC6279050

What OpenQuestion holds

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Registered trials

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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.