Evidence map›Paper›PMID 36515506›Full record

ArticleJournal of clinical microbiology2023

Novel Multilocus Sequence Typing and Global Sequence Clustering Schemes for Characterizing the Population Diversity of Streptococcus mitis.

Akuzike Kalizang'oma, Brenda Kwambana-Adams, Jia Mun Chan, Aishwarya Viswanath, Andrea Gori, Damien Richard, Keith A Jolley, John Lees, David Goldblatt, Sandra Beleza and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  4. Re-evaluation of boundaries ofInternational journal of systematic and evolutionary microbiology · 2025
    Article
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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

13 authors at 7 institutions in 3 countries.

Akuzike Kalizang'oma *NIHR Mucosal Pathogens Research Unit, Division of Infection and Immunity, University College London, London, United Kingdom.ORCID 0000-0001-8197-658X
Brenda Kwambana-AdamsNIHR Mucosal Pathogens Research Unit, Division of Infection and Immunity, University College London, London, United Kingdom.
Jia Mun ChanNIHR Mucosal Pathogens Research Unit, Division of Infection and Immunity, University College London, London, United Kingdom.
Aishwarya ViswanathUCL Division of Medicine, University College London, London, United Kingdom.
Andrea GoriNIHR Mucosal Pathogens Research Unit, Division of Infection and Immunity, University College London, London, United Kingdom.ORCID 0000-0003-0931-0454
Damien RichardUCL Genetics Institute, University College London, London, United Kingdom.
Keith A JolleyDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
John LeesPathogen Informatics and Modelling, European Bioinformatics Institute, Hinxton, United Kingdom.
David GoldblattUniversity College London, Great Ormond Street Institute of Child Health, London, United Kingdom.
Sandra BelezaUniversity of Leicester, Department of Genetics and Genome Biology, Leicester, United Kingdom.
Stephen D BentleyParasites and Microbes, Wellcome Sanger Institute, Hinxton, United Kingdom.
Robert S Heyderman *NIHR Mucosal Pathogens Research Unit, Division of Infection and Immunity, University College London, London, United Kingdom.
Chrispin Chaguza *NIHR Mucosal Pathogens Research Unit, Division of Infection and Immunity, University College London, London, United Kingdom.
University College London · GBUniversity of Liverpool · GBEuropean Bioinformatics Institute · GBGreat Ormond Street Hospital · GBUniversity of Leicester · GBUniversity of Oxford · GBWellcome Sanger Institute · GB

Funding

Department of Health 16/136/46Department of Health NIHR200652Wellcome TrustWellcome Trust (WT) 218205/Z/19/Z
6 · The paper itself

Abstract

Streptococcus mitis is a common oral commensal and an opportunistic pathogen that causes bacteremia and infective endocarditis; however, the species has received little attention compared to other pathogenic streptococcal species. Effective and easy-to-use molecular typing tools are essential for understanding bacterial population diversity and biology, but schemes specific for S. mitis are not currently available. We therefore developed a multilocus sequence typing (MLST) scheme and defined sequence clusters or lineages of S. mitis using a comprehensive global data set of 322 genomes (148 publicly available and 174 newly sequenced). We used internal 450-bp sequence fragments of seven housekeeping genes (

Indexed as

StreptococcusStreptococcus mitisCluster AnalysisHumansMultilocus Sequence TypingPhylogenymultilocus sequence typingPopPUNK sequence clusteringpopulation diversityStreptococcus mitistransmissionwithin-host diversity

Identifiers

PMID36515506
PMCPMC9879099
OpenAlexW4311481167

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.