Evidence map›Paper›PMID 19643763›Full record

ArticleMicrobiology (Reading, England)2009

Genealogical typing of Neisseria meningitidis.

Xavier Didelot, Rachel Urwin, Martin C J Maiden, Daniel Falush

Open access · greenAbstract read
In one paragraph

Article in Microbiology (Reading, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Establishment of the European meningococcal strain collection genome library (EMSC-GL) for the 2011 to 2012 epidemiological year.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2018
    Article
  4. How clonal are Neisseria species? The epidemic clonality model revisited.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
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  12. Reproductive clonality of pathogens: a perspective on pathogenic viruses, bacteria, fungi, and parasitic protozoa.Proceedings of the National Academy of Sciences of the United States of America · 2012
    Article
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  14. 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

4 authors at 4 institutions in 3 countries.

Xavier DidelotDepartment of Statistics, University of Warwick, UK.
Rachel UrwinDepartment of Biology, Pennsylvania State University, USA.
Martin C J MaidenDepartment of Zoology, University of Oxford, UK.
Daniel FalushEnvironmental Research Institute, University College Cork, Ireland.
Pennsylvania State University · USUniversity College Cork · IEUniversity of Oxford · GBUniversity of Warwick · GB

Funding

Wellcome Trust 087622Wellcome Trust 87622
6 · The paper itself

Abstract

Despite the increasing popularity of multilocus sequence typing (MLST), the most appropriate method for characterizing bacterial variation and facilitating epidemiological investigations remains a matter of debate. Here, we propose that different typing schemes should be compared on the basis of their power to infer clonal relationships and investigate the utility of sequence data for genealogical reconstruction by exploiting new statistical tools and data from 20 housekeeping loci for 93 isolates of the bacterial pathogen Neisseria meningitidis. Our analysis demonstrated that all but one of the hyperinvasive isolates established by multilocus enzyme electrophoresis and MLST were grouped into one of six genealogical lineages, each of which contained substantial variation. Due to the confounding effect of recombination, evolutionary relationships among these lineages remained unclear, even using 20 loci. Analyses of the seven loci in the standard MLST scheme using the same methods reproduced this classification, but were unable to support finer inferences concerning the relationships between the members within each complex.

Indexed as

Bacterial Typing TechniquesCluster AnalysisDNA, BacterialDNA FingerprintingEvolution, MolecularMolecular EpidemiologyNeisseria meningitidisPolymorphism, GeneticDNA, Bacterial

Identifiers

PMID19643763
PMCPMC2762044
OpenAlexW2136242948

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.