Repository logo
 

Staphylococcus pseudoxylosus sp. nov., isolated from bovine mastitis

Accepted version
Peer-reviewed

No Thumbnail Available

Type

Article

Change log

Authors

MacFadyen, A 
Leroy, Sabine 

Abstract

Strain S04009T, a Gram-stain-positive, coagulase-negative staphylococcus was isolated from bovine mastitis in France. 16S rDNA analysis revealed it to be closely related to the coagulase-negative species; Staphylococcus xylosus, Staphylococcus saprophyticus, Staphylococcus caeli and Staphylococcus edaphicus. At the whole genome level, S04009T had an average nucleotide identity of < 95% and an inferred DNA–DNA hybridization of < 70 % when compared to these species. Furthermore, phenotypic characteristics distinguished S04009T from those species. From these related species only S04009T and S. xylosus are able to ferment xylose and these two can be distinguished by the inability of S04009T to express urease activity. Based on the genotypic and phenotypic results, it is proposed that this isolate is a novel species, with the name Staphylococcus pseudoxylosus sp. nov. The type strain is S04009T (=DSM 107950T= CCUG 72763T=NCTC 14184T).

Description

Keywords

Staphylococcus pseudoxlyosus, Staphylococcus xylosus, Staphylococcus, mastitis, mecC, Animals, Bacterial Typing Techniques, Base Composition, Cattle, DNA, Bacterial, Fatty Acids, Female, France, Mastitis, Bovine, Nucleic Acid Hybridization, Phylogeny, RNA, Ribosomal, 16S, Sequence Analysis, DNA, Staphylococcus

Journal Title

International Journal of Systematic and Evolutionary Microbiology

Conference Name

Journal ISSN

1466-5026
1466-5034

Volume Title

69

Publisher

Microbiology Society

Rights

All rights reserved
Sponsorship
Medical Research Council (G1001787)
Medical Research Council (MR/N002660/1)
Medical Research Council (MR/P007201/1)
Medical Research Council (G1001787/1)
Work was supported by internal funding at the University of Edinburgh, Medical Research Council Partnership Grant (G1001787/1) and the Wellcome Trust (Grant 098051). EMH is supported by a UK Research and Innovation (UKRI) Fellowship: MR/S00291X/1.