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Exploring Microbial Diversity Using 16S rRNA High-Throughput Methods | OMICS International | Abstract
ISSN: 0974-7230

Journal of Computer Science & Systems Biology
Open Access

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Review Article

Exploring Microbial Diversity Using 16S rRNA High-Throughput Methods

Fabrice Armougom and Didier Raoult*
URMITE - UMR CNRS 6236, IRD 3R198, Université de la Méditerranée, Faculté de Médecine, 27 Boulevard Jean Moulin, 13005 Marseille, France
Corresponding Author :

Didier Raoult
Université de la Méditerranée
Faculté de Médecine
27 Boulevard Jean Moulin
13005 Marseille, France
Phone : (33).
Fax : (33).
Email : [email protected]

Received January 21, 2009; Accepted February 24, 2009; Published February 27, 2009
Citation: Fabrice A, Didier R (2009) Exploring Microbial Diversity Using 16S rRNA High-Throughput Methods. J Comput Sci Syst Biol 2:074-092. doi:10.4172/jcsb.1000019
Copyright: © 2009 Fabrice A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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As a result of advancements in high-throughput technology, the sequencing of the pioneering 16S rRNA gene marker is gradually shedding light on the taxonomic characterization of the spectacular microbial diversity that inhabits the earth. 16S rRNA-based investigations of microbial environmental niches are currently conducted using several technologies, including large-scale clonal Sanger sequencing, oligonucleotide microarrays, and, particularly, 454 pyrosequencing that targets specific regions or is linked to barcoding strategies. Interestingly, the short read length produced by next-generation sequencing technology has led to new computational efforts in the taxonomic sequence assignment process. From a medical perspective, the characterization of the microbial composition of the skin surface, oral cavity, and gut in both healthy and diseased people enables a comparison of microbial community profiles and also contributes to the understanding of the potential impact of a particular microbial community.

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