Characterization of Corynebacterium Species in Macaques

• Main Authors: Venezia, Jaime (Author), Cassiday, Pamela K. (Author), Marini, Robert P. (Contributor), Shen, Zeli (Author), Buckley, Ellen Marie (Contributor), Peters, Yaicha (Author), Taylor, Nancy (Author), Dewhirst, Floyd E. (Author), Tondella, Maria L. (Author), Fox, James G. (Contributor)
• Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. Division of Comparative Medicine (Contributor)
• Format: Article
• Language: English
• Published: Society for General Microbiology, 2013-04-03T20:06:50Z.
• Subjects: Article
• Online Access: Get fulltext

Bacteria of the genus Corynebacterium are important primary and opportunistic pathogens. Many are zoonotic agents. In this report, phenotypic (API Coryne analysis), genetic (rpoB and 16S rRNA gene sequencing), and physical methods (MS) were used to distinguish the closely related diphtheroid species Corynebacterium ulcerans and Corynebacterium pseudotuberculosis, and to definitively diagnose Corynebacterium renale from cephalic implants of rhesus (Macaca mulatta) and cynomolgus (Macaca fascicularis) macaques used in cognitive neuroscience research. Throat and cephalic implant cultures yielded 85 isolates from 43 macaques. Identification by API Coryne yielded C. ulcerans (n = 74), Corynebacterium pseudotuberculosis (n = 2), C. renale or most closely related to C. renale (n = 3), and commensals and opportunists (n = 6). The two isolates identified as C. pseudotuberculosis by API Coryne required genetic and MS analysis for accurate characterization as C. ulcerans. Of three isolates identified as C. renale by 16S rRNA gene sequencing, only one could be confirmed as such by API Coryne, rpoB gene sequencing and MS. This study emphasizes the importance of adjunct methods in identification of coryneforms and is the first isolation of C. renale from cephalic implants in macaques.
National Institutes of Health (U.S.) (grant DE106937)
National Institutes of Health (U.S.) (grant T32- RR032307)