Evidence map›Paper›PMID 22950675›Full record

ArticleBMC evolutionary biology2012

Phylogenetic relationships among Staphylococcus species and refinement of cluster groups based on multilocus data.

Ryan P Lamers, Gowrishankar Muthukrishnan, Todd A Castoe, Sergio Tafur, Alexander M Cole, Christopher L Parkinson

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

59 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Pathogens (Basel, Switzerland) · 2024
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  17. Review
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  19. Review
  20. 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.

Ryan P LamersBurnett School of Biomedical Sciences, University of Central Florida College of Medicine, 4000 Central Florida Boulevard, Orlando, FL 32816, USA.
Gowrishankar Muthukrishnan
Todd A Castoe
Sergio Tafur
Alexander M Cole
Christopher L Parkinson

Funding

Nasal carriage of S. aureus: host-pathogen interactionsR01AI060753 · NIAID · UNIVERSITY OF CENTRAL FLORIDA · PI COLE, ALEXANDER MICHAEL · 2006 to 2010
$1.6M
NIAID NIH HHS AI060753
6 · The paper itself

Abstract

backgroundEstimates of relationships among Staphylococcus species have been hampered by poor and inconsistent resolution of phylogenies based largely on single gene analyses incorporating only a limited taxon sample. As such, the evolutionary relationships and hierarchical classification schemes among species have not been confidently established. Here, we address these points through analyses of DNA sequence data from multiple loci (16S rRNA gene, dnaJ, rpoB, and tuf gene fragments) using multiple Bayesian and maximum likelihood phylogenetic approaches that incorporate nearly all recognized Staphylococcus taxa.

resultsWe estimated the phylogeny of fifty-seven Staphylococcus taxa using partitioned-model Bayesian and maximum likelihood analysis, as well as Bayesian gene-tree species-tree methods. Regardless of methodology, we found broad agreement among methods that the current cluster groups require revision, although there was some disagreement among methods in resolution of higher order relationships. Based on our phylogenetic estimates, we propose a refined classification for Staphylococcus with species being classified into 15 cluster groups (based on molecular data) that adhere to six species groups (based on phenotypic properties).

conclusionsOur findings are in general agreement with gene tree-based reports of the staphylococcal phylogeny, although we identify multiple previously unreported relationships among species. Our results support the general importance of such multilocus assessments as a standard in microbial studies to more robustly infer relationships among recognized and newly discovered lineages.

Indexed as

PhylogenyBayes TheoremDNA, BacterialLikelihood FunctionsModels, GeneticMultilocus Sequence TypingSequence Analysis, DNAStaphylococcusDNA, Bacterial

Identifiers

PMID22950675
PMCPMC3464590

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LicenceCC BY
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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.