Evidence map›Paper›PMID 36098501›Full record

ArticleMicrobial genomics2022

Ribosomal MLST nucleotide identity (rMLST-NI), a rapid bacterial species identification method: application to

James E Bray, Annapaula Correia, Margaret Varga, Keith A Jolley, Martin C J Maiden, Charlene M C Rodrigues

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbial genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Complexities in species identification forMicrobiology spectrum · 2025
    Article
  3. Two novelFrontiers in microbiology · 2024
    Article
  4. Article
  5. 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

6 authors.

James E BrayDepartment of Zoology, University of Oxford, Oxford, UK.
Annapaula CorreiaDepartment of Zoology, University of Oxford, Oxford, UK.
Margaret VargaDepartment of Zoology, University of Oxford, Oxford, UK.
Keith A JolleyDepartment of Zoology, University of Oxford, Oxford, UK.
Martin C J MaidenDepartment of Zoology, University of Oxford, Oxford, UK.
Charlene M C RodriguesDepartment of Zoology, University of Oxford, Oxford, UK.

Funding

Wellcome TrustWellcome Trust 201505/Z/16/ZWellcome Trust 218205/Z/19/Z
6 · The paper itself

Abstract

Bacterial genomics is making an increasing contribution to the fields of medicine and public health microbiology. Consequently, accurate species identification of bacterial genomes is an important task, particularly as the number of genomes stored in online databases increases rapidly and new species are frequently discovered. Existing database entries require regular re-evaluation to ensure that species annotations are consistent with the latest species definitions. We have developed an automated method for bacterial species identification that is an extension of ribosomal multilocus sequence typing (rMLST). The method calculates an 'rMLST nucleotide identity' (rMLST-NI) based on the nucleotides present in the protein-encoding ribosomal genes derived from bacterial genomes. rMLST-NI was used to validate the species annotations of 11839 publicly available

Indexed as

KlebsiellaNucleotidesGenome, BacterialGenomicsMultilocus Sequence TypingNucleotidesbacterial genomesbacterial species identificationKlebsiellanucleotide identityRaoultellarMLST

Identifiers

PMID36098501
PMCPMC9676034

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.