Title | Performance of Five Commercial Identification Platforms for Identification of Staphylococcus delphini. |
Publication Type | Journal Article |
Year of Publication | 2019 |
Authors | Canver MC, Tekle T, Compton ST, Callan K, Burd EM, Zimmer BL, Bemis DA, Carroll KC, Westblade LF |
Journal | J Clin Microbiol |
Volume | 57 |
Issue | 11 |
Date Published | 2019 11 |
ISSN | 1098-660X |
Keywords | Animals, Automation, Laboratory, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Staphylococcal Infections, Staphylococcus, Staphylococcus aureus, Staphylococcus hyicus, Staphylococcus intermedius |
Abstract | The group (SIG) is a collection of coagulase-positive staphylococci consisting of four distinct species, namely, , , , and SIG members are animal pathogens and rare causes of human infection. Accurate identification of has important implications for interpretation of antimicrobial susceptibility testing data and may be important for other members of the group. Therefore, we sought to evaluate the performance of five commercially available identification platforms with 21 isolates obtained from a variety of animal and geographic sources. Here, we show that automated biochemical platforms were unable to identify to the species level, a function of its omission from their databases, but could identify isolates to the SIG level with various degrees of success. However, all automated systems misidentified at least one isolate as One matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) system was able to identify to the species level, suggesting that MALDI-TOF MS is the best option for distinguishing members of the SIG. With the exception of , it is unclear if other SIG members should be routinely identified to the species level; however, as our understanding of their role in animal and human diseases increases, it may be necessary and important to do so. |
DOI | 10.1128/JCM.00721-19 |
Alternate Journal | J Clin Microbiol |
PubMed ID | 31413084 |
PubMed Central ID | PMC6813025 |
Related Faculty:
Lars Westblade, Ph.D.