Evidence map›Paper›PMID 36367311›Full record

ArticleDatabase : the journal of biological databases and curation2022

MGTdb: a web service and database for studying the global and local genomic epidemiology of bacterial pathogens.

Sandeep Kaur, Michael Payne, Lijuan Luo, Sophie Octavia, Mark M Tanaka, Vitali Sintchenko, Ruiting Lan

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. CharacterizingmSystems · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Genomic diversity ofFrontiers in microbiology · 2024
    Article
  7. Genomic epidemiology and multilevel genome typing ofEmerging microbes & infections · 2023
    Article
  8. 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.

Sandeep KaurSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, New South Wales 2052, Australia.ORCID 0000-0003-0356-3151
Michael PayneSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, New South Wales 2052, Australia.ORCID 0000-0003-1911-7033
Lijuan LuoSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, New South Wales 2052, Australia.
Sophie OctaviaSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, New South Wales 2052, Australia.
Mark M TanakaSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, New South Wales 2052, Australia.
Vitali SintchenkoCentre for Infectious Diseases and Microbiology-Public Health, Institute of Clinical Pathology and Medical Research-NSW Health Pathology, Westmead Hospital, New South Wales 2145, Australia.
Ruiting LanSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, New South Wales 2052, Australia.ORCID 0000-0001-9834-5258

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multilevel genome typing (MGT) enables the genomic characterization of bacterial isolates and the relationships among them. The MGT system describes an isolate using multiple multilocus sequence typing (MLST) schemes, referred to as levels. Thus, for a new isolate, sequence types (STs) assigned at multiple precisely defined levels can be used to type isolates at multiple resolutions. The MGT designation for isolates is stable, and the assignment is faster than the existing approaches. MGT's utility has been demonstrated in multiple species. This paper presents a publicly accessible web service called MGTdb, which enables the assignment of MGT STs to isolates, along with their storage, retrieval and analysis. The MGTdb web service enables upload of genome data as sequence reads or alleles, which are processed and assigned MGT identifiers. Additionally, any newly sequenced isolates deposited in the National Center for Biotechnology Information's Sequence Read Archive are also regularly retrieved (currently daily), processed, assigned MGT identifiers and made publicly available in MGTdb. Interactive visualization tools are presented to assist analysis, along with capabilities to download publicly available isolates and assignments for use with external software. MGTdb is currently available for Salmonella enterica serovars Typhimurium and Enteritidis and Vibrio cholerae. We demonstrate the usability of MGTdb through three case studies - to study the long-term national surveillance of S. Typhimurium, the local epidemiology and outbreaks of S. Typhimurium, and the global epidemiology of V. cholerae. Thus, MGTdb enables epidemiological and microbiological investigations at multiple levels of resolution for all publicly available isolates of these pathogens. Database URL: https://mgtdb.unsw.edu.au.

Indexed as

Genome, BacterialGenomicsAllelesMultilocus Sequence Typing

Identifiers

PMID36367311
PMCPMC9650772

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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.