Simple PCR and sequencing assays that utilize a single pair of degenerate primers were used to characterize a 429-bp-long DNA fragment internal (sodA(int)) to the sodA gene encoding the manganese-dependent superoxide dismutase in 40 coagulase-negative staphylococcal (CNS) type strains. The topology of the phylogenetic tree obtained was in general agreement with that which was inferred from an analysis of their 16S rRNA or hsp60 gene sequences. Sequence analysis revealed that the staphylococcal sodA genes exhibit a higher divergence than does the corresponding 16S ribosomal DNA. These results confirm that the sodA gene constitutes a highly discriminative target sequence for differentiating closely related bacterial species. Clinical isolates that could not be identified at the species level by phenotypical tests were identified by use of this database. These results demonstrate the usefulness of this method for rapid and accurate species identification of CNS isolates, although it does not allow discrimination of subspecies. The sodA sequence polymorphisms observed with staphylococcal species offer good opportunities for the development of assays based on DNA chip technologies.

The complete sequence of rpoB, the gene encoding the beta subunit of RNA polymerase was determined for Staphylococcus saccharolyticus, Staphylococcus lugdunensis, S taphylococcus caprae, and Staphylococcus intermedius and partial sequences were obtained for an additional 27 Staphylococcus species. The complete rpoB sequences varied in length from 3,452 to 3,845 bp and had a 36.8 to 39.2% GC content. The partial sequences had 71.6 to 93.6% interspecies homology and exhibited a 0.08 to 0.8% intraspecific divergence. With a few exceptions, the phylogenetic relationships inferred from the partial rpoB sequences were in agreement with those previously derived from DNA-DNA hybridization studies and analyses of 16S ribosomal DNA gene sequences and partial HSP60 gene sequences. The staphylococcal rpoB sequence database we established enabled us to develop a molecular method for identifying Staphylococcus isolates by PCR followed by direct sequencing of the 751-bp amplicon. In blind tests, this method correctly identified 10 Staphylococcus isolates, and no positive results were obtained with 10 non-Staphylococcus gram-positive and gram-negative bacterial isolates. We propose partial sequencing of the rpoB gene as a new tool for the accurate identification of Staphylococcus isolates.

We have developed a PCR-based assay which allows the detection of staphylococci at the genus level by targeting the tuf gene, which encodes the elongation factor Tu. Degenerate PCR primers derived from consensus regions of several tuf genes were used to amplify a target region of 884 bp from 11 representative staphylococcal species. Subsequently, the entire nucleotide sequence of these amplicons was determined. The analysis of a multiple alignment of these sequences revealed regions conserved among staphylococci but distinct from those of other gram-positive bacteria genetically related to staphylococci. PCR primers complementary to these regions could amplify specifically and efficiently a DNA fragment of 370 bp for all of 27 different staphylococcal species tested. There was no amplification with genomic DNA prepared from 53 nonstaphylococcal species tested to verify the specificity of the assay (20 gram positive and 33 gram negative). Furthermore, this assay amplified efficiently all 27 American Type Culture Collection (ATCC) staphylococcal reference strains as well as 307 clinical isolates of staphylococci from the Qu?bec City region. Analysis of the multiple sequence alignment for the 884-bp fragment for the 11 staphylococcal species as well as comparison of the sequences for the 370-bp amplicon from five unrelated ATCC and clinical strains for each of the species S. aureus, S. epidermidis, S. haemolyticus, S. hominis, and S. saprophyticus demonstrated sufficient interspecies polymorphism to generate genus- and species-specific capture probes. This sequence information allowed the development of Staphylococcus-specific and species-specific (targeting S. aureus, S. epidermidis, S. haemolyticus, S. hominis, or S. saprophyticus) capture probes hybridizing to the 370-bp amplicon. In conclusion, this PCR assay is suitable for detection of staphylococci at both genus and species levels.

Classical phenotypic and biochemical testing do not lead to correct identification of the distinct Staphylococcus species. Therefore, the aim of our study was to develop a method for the reliable and accurate determination of distinct Staphylococcus species. In the present study, the 931-934-bp partial sequences of the glyceraldehyde-3-phosphate dehydrogenase-encoding (gap) gene of 28 validly described Staphylococcus species were amplified and sequenced. By using the respective sequence information we performed a terminal-restriction fragment length polymorphism (T-RFLP) analysis. For T-RFLP the partial gap gene was amplified with double-fluorescently labelled primers and digested with the restriction enzymes DdeI, BspHI and TaqI. Distinctive T-RFLP patterns were rendered by the use of capillary electrophoresis with laser-induced fluorescence detection. This molecular method allowed us to identify all 28 Staphylococcus species with high specificity. This was validated by analysis of 34 Staphylococcus epidermidis and 28 Staphylococcus haemolyticus isolates. These results demonstrate the feasibility and applicability of the T-RFLP method based on the partial gap gene sequences for rapid and accurate species identification.

Staphylococci are part of the normal microflora of humans and animals and some are potential pathogens that have become resistant to almost all known antibiotics. Despite the widespread reports of penicillin resistance in cat and dog staphylococci, the mechanism underlying penicillin resistance has not been examined. This study was aimed at investigating the molecular basis of resistance to penicillin in cat and dog staphylococcal isolates that showed phenotypic resistance to beta-lactam antibiotics. An 861 bp fragment of the structural blaZ gene which codes for beta-lactamase production in staphylococci was amplified by polymerase chain reaction (PCR) and the products were sequenced. Sequenced fragments were analysed by protein signature typing and sequences were compared to published blaZ sequences of human and bovine staphylococcal strains held in a public database. Four known protein signature types (1, 3, 5 and 6) and one new type (12) were identified in this study. When sequences were compared with published blaZ sequences, gene phylogenetic analysis revealed three major groups. The four variants of beta-lactamases types (A, B, C and D) belonged to each major group except for types A and D which were both in group II. These findings confirm that the blaZ gene is responsible for beta-lactamase production leading to subsequent resistance to beta-lactam antibiotics in feline and canine staphylococci and that the gene shows similar diversity and relatedness as found with blaZ sequences obtained from human and bovine staphylococci.

Coagulase-negative staphylococci (CNS) play a predominant role in nosocomial infections. Rapid, reliable identification of these organisms is essential for accurate diagnosis and prompt effective treatment of these infections. Quite recently, the VITEK 2 g-positive (gram-positive [GP]) identification card (bioM?rieux) has been redesigned for greater accuracy in the identification of gram-positive cocci. We compared the BD Phoenix (Becton Dickinson) and VITEK 2 (bioM?rieux) automated microbiology systems, using their respective update version cards, and the API ID32 STAPH test. The glyceraldehyde-3-phosphate dehydrogenase (gap) gene-based T-RFLP (terminal restriction fragment length polymorphism) method was used for verifying the results. In total, 86 clinical isolates of CNS and 27 reference strains were analyzed. The results show that for identification of CNS, the automated identification methods using the newest VITEK 2 and BD Phoenix identification cards are comparable. However, API ID32 STAPH revealed more correct results compared to both automated microbiology systems. Despite the increased performance of the phenotypic automated identification systems compared to the former versions, molecular methods, e.g., the gap-based T-RFLP method, still show superior accuracy in identifying Staphylococcus species other than Staphylococcus aureus.

Staphylococcal species, notably, coagulase-negative staphylococci (CoNS), are frequently misidentified using phenotypic methods. The partial nucleotide sequences of the tuf and gap genes were determined in 47 reference strains to assess their suitability, practicability, and discriminatory power as target molecules for staphylococcal identification. The partial tuf gene sequence was selected and further assessed with a collection of 186 strains, including 35 species and subspecies. Then, to evaluate the efficacy of this genotyping method versus the technology of matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS), the 186 strains were identified using MALDI-TOF-MS (Axima? Shimadzu) coupled to the SARAMIS? database (AnagnosTec). The French National Reference Center for Staphylococci identification method was used as a reference. One hundred and eighty-four strains (98.9%) were correctly identified by tuf gene sequencing. Only one strain was misidentified and one was unidentified. MALDI-TOF-MS identified correctly 138 isolates (74.2%). Four strains were misidentified, 39 were unidentified, five were identified at the group (hominis/warneri) level, and one strain was identified at the genus level. These results confirm the value of MALDI-TOF-MS identification for common species in clinical laboratory practice and the value of the partial tuf gene sequence for the identification of all staphylococcal species as required in a reference laboratory.

In an evolutionarily conserved gene organization (syntenic region), the sigH gene shares exceptionally low homology among staphylococcal species. We analyzed the "positionally cloned" sigH sequences of 39 staphylococcal species. The topology of the SigH phylogenetic tree was consistent with that of 16S rRNA. Certain clinical isolates were successfully differentiated at the species level with the sigH sequence data set. We propose that the sigH gene is a promising molecular target in genotypic identification because it is highly discriminative in differentiating closely related staphylococcal species.

Non-aureus staphylococci (NAS), a heterogeneous group of a large number of species and subspecies, are the most frequently isolated pathogens from intramammary infections in dairy cattle. Phylogenetic relationships among bovine NAS species are controversial and have mostly been determined based on single-gene trees. Herein, we analyzed phylogeny of bovine NAS species using whole-genome sequencing (WGS) of 441 distinct isolates. In addition, evolutionary relationships among bovine NAS were estimated from multilocus data of 16S rRNA, hsp60, rpoB, sodA, and tuf genes and sequences from these and numerous other single genes/proteins. All phylogenies were created with FastTree, Maximum-Likelihood, Maximum-Parsimony, and Neighbor-Joining methods. Regardless of methodology, WGS-trees clearly separated bovine NAS species into five monophyletic coherent clades. Furthermore, there were consistent interspecies relationships within clades in all WGS phylogenetic reconstructions. Except for the Maximum-Parsimony tree, multilocus data analysis similarly produced five clades. There were large variations in determining clades and interspecies relationships in single gene/protein trees, under different methods of tree constructions, highlighting limitations of using single genes for determining bovine NAS phylogeny. However, based on WGS data, we established a robust phylogeny of bovine NAS species, unaffected by method or model of evolutionary reconstructions. Therefore, it is now possible to determine associations between phylogeny and many biological traits, such as virulence, antimicrobial resistance, environmental niche, geographical distribution, and host specificity.