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JCM Accepts, published online ahead of print on 5 March 2008
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J. Clin. Microbiol. doi:10.1128/JCM.02469-07
Copyright (c) 2008, American Society for Microbiology and/or the Listed Authors/Institutions. All Rights Reserved.

Genotypic Diversity of Anaerobic Isolates from Bloodstream Infections

Keith E. Simmon, Stanley Mirrett, L. Barth Reller, and Cathy A. Petti*

Associated Regional University Pathologists Laboratories, Salt Lake City, Utah; Clinical Microbiology Laboratory, Duke University Hospital, and Departments of Pathology and Medicine, Duke University School of Medicine, Durham, North Carolina; Departments of Pathology and Medicine, University of Utah School of Medicine, Salt Lake City, Utah

* To whom correspondence should be addressed. Email: cathy.petti{at}aruplab.com.


   Abstract

Accurate speciation of anaerobes from blood culture bottles has become increasingly important with the reemergence of anaerobic bacteremia and prevalence of multiple drug-resistant microorganisms. Our knowledge of the taxonomical diversity of anaerobes that cause bloodstream infections is extremely limited, because identification has relied historically on conventional methods. Over a five-year period, we profiled anaerobic bacteremia at a large tertiary care hospital with 16S rRNA gene sequencing to gain a better understanding of their taxonomical diversity. Of 316 isolates, 16S rRNA gene sequencing and phylogenetic analysis identified 316 (100%) to the genus or taxonomical group level and 289 (91%) to the species level. Conventional methods identified 279 (88%) to the genus level and 208 (66%) to the species level; 75 (24%) were misidentified at the species level and 33 (10%) of results were inconclusive. High intragenus variability was observed for Bacteroides and Clostridium species, and high intraspecies variability was observed for Bacteroides thetaiotaomicron and Fusobacterium nucleatum. Sequence-based identification has potential benefits over conventional methods, because it more accurately characterizes anaerobes within taxonomically related clusters and thereby may enable better correlation with specific clinical syndromes and antibiotic resistance patterns.







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