Evidence map›Paper›PMID 22422752›Full record

ArticleMicrobiology (Reading, England)2012

A genomic approach to bacterial taxonomy: an examination and proposed reclassification of species within the genus Neisseria.

Julia S Bennett, Keith A Jolley, Sarah G Earle, Craig Corton, Stephen D Bentley, Julian Parkhill, Martin C J Maiden

Abstract readEvaluation Study
In one paragraph

Article in Microbiology (Reading, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.

0numbers the graph read from it
0cells of the map it votes in
101citing 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

101 citing papers in PubMed.

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  18. Rolling the evolutionary dice:Microbiology spectrum · 2024
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  20. Sweet complexity:Frontiers in cellular and infection microbiology · 2024
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41 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Julia S BennettDepartment of Zoology, University of Oxford, Oxford OX1 3PS, UK.
Keith A JolleyDepartment of Zoology, University of Oxford, Oxford OX1 3PS, UK.
Sarah G EarleDepartment of Zoology, University of Oxford, Oxford OX1 3PS, UK.
Craig CortonThe Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK.
Stephen D BentleyThe Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK.
Julian ParkhillThe Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK.
Martin C J MaidenDepartment of Zoology, University of Oxford, Oxford OX1 3PS, UK.

Funding

Wellcome Trust 087622
6 · The paper itself

Abstract

In common with other bacterial taxa, members of the genus Neisseria are classified using a range of phenotypic and biochemical approaches, which are not entirely satisfactory in assigning isolates to species groups. Recently, there has been increasing interest in using nucleotide sequences for bacterial typing and taxonomy, but to date, no broadly accepted alternative to conventional methods is available. Here, the taxonomic relationships of 55 representative members of the genus Neisseria have been analysed using whole-genome sequence data. As genetic material belonging to the accessory genome is widely shared among different taxa but not present in all isolates, this analysis indexed nucleotide sequence variation within sets of genes, specifically protein-coding genes that were present and directly comparable in all isolates. Variation in these genes identified seven species groups, which were robust to the choice of genes and phylogenetic clustering methods used. The groupings were largely, but not completely, congruent with current species designations, with some minor changes in nomenclature and the reassignment of a few isolates necessary. In particular, these data showed that isolates classified as Neisseria polysaccharea are polyphyletic and probably include more than one taxonomically distinct organism. The seven groups could be reliably and rapidly generated with sequence variation within the 53 ribosomal protein subunit (rps) genes, further demonstrating that ribosomal multilocus sequence typing (rMLST) is a practicable and powerful means of characterizing bacteria at all levels, from domain to strain.

Indexed as

PhylogenyBacterial Typing TechniquesGenetic VariationGenomicsGram-Negative Bacterial InfectionsHumansMolecular Sequence DataNeisseriaSequence Analysis, DNA

Identifiers

PMID22422752
PMCPMC3541776

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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.