Authors

R. P. Lamers; G. Muthukrishnan; T. A. Castoe; S. Tafur; A. M. Cole;C. L. Parkinson

Comments

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Abbreviated Journal Title

BMC Evol. Biol.

Keywords

COAGULASE-NEGATIVE STAPHYLOCOCCI; LENGTH DIFFERENCE TEST; WILD SMALL; MAMMALS; 16S RIBOSOMAL-RNA; MODEL SELECTION; SP-NOV.; GENUS; STAPHYLOCOCCUS; STRUCTURE PREDICTION; MAXIMUM-LIKELIHOOD; MIXED MODELS; Evolutionary Biology; Genetics & Heredity

Abstract

Background: Estimates 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. Results: We 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). Conclusions: Our 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.

Journal Title

Bmc Evolutionary Biology

Volume

12

Publication Date

1-1-2012

Document Type

Article

Language

English

First Page

15

WOS Identifier

WOS:000308817400001

ISSN

1471-2148

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