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Direct 16S rRNA gene sequencing from clinical specimens, with special focus on polybacterial samples and interpretation of mixed DNA chromatograms.


ABSTRACT: RipSeq (iSentio, Bergen, Norway) is a web-based application for the analysis of mixed DNA chromatograms. It opens the possibility to analyze chromatograms obtained by direct 16S rRNA gene sequencing from polybacterial human clinical samples. In this study, we used direct 16S rRNA gene sequencing to investigate 264 samples from a wide range of suspected human bacterial infections. The sequence-based identification was compared with the results from routine culture-based identification. A total of 151 samples were positive by the first PCR, producing 85 pure and 66 mixed DNA chromatograms. All mixed chromatograms were analyzed by RipSeq, although seven were so complex that only the dominant bacterial sequences could be identified. In general, sequence-based identification detected a larger number of species than did culture for samples from patients who had received antibiotics prior to sample collection and for samples containing anaerobic bacteria. RipSeq made it possible to apply this supplementary diagnostic tool to typical polybacterial specimens, such as internal abscesses, pleural fluids, and bile.

SUBMITTER: Kommedal O 

PROVIDER: S-EPMC2772595 | biostudies-literature | 2009 Nov

REPOSITORIES: biostudies-literature

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Direct 16S rRNA gene sequencing from clinical specimens, with special focus on polybacterial samples and interpretation of mixed DNA chromatograms.

Kommedal Oyvind O   Kvello Kristine K   Skjåstad Rune R   Langeland Nina N   Wiker Harald G HG  

Journal of clinical microbiology 20090909 11


RipSeq (iSentio, Bergen, Norway) is a web-based application for the analysis of mixed DNA chromatograms. It opens the possibility to analyze chromatograms obtained by direct 16S rRNA gene sequencing from polybacterial human clinical samples. In this study, we used direct 16S rRNA gene sequencing to investigate 264 samples from a wide range of suspected human bacterial infections. The sequence-based identification was compared with the results from routine culture-based identification. A total of  ...[more]

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