The text has been copied to the clipboard
Back
Microbiota Analysis Using an Illumina MiSeq Platform to Sequence 16S rRNA Genes.
Journal article

Microbiota Analysis Using an Illumina MiSeq Platform to Sequence 16S rRNA Genes.

  • Rapin A Global Health Institute, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  • Pattaroni C Faculty of Biology and Medicine, University of Lausanne, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland.
  • Marsland BJ Faculty of Biology and Medicine, University of Lausanne, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland.
  • Harris NL Global Health Institute, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  • 2017-06-20
Published in:
  • Current protocols in mouse biology. - 2017
16S rRNA
MiSeq
microbiota
next generation sequencing
Animals
Bacteria
High-Throughput Nucleotide Sequencing
Humans
Mice
Microbiota
Phylogeny
Polymerase Chain Reaction
RNA, Ribosomal, 16S
Sequence Analysis, DNA
English The microbiota have been shown to play an important role in diverse biological processes including immunity, metabolism, and digestion. Assessing the exact composition of the microbiota has proven challenging due to the often unknown growth specificities of its members, and culture-based approaches typically fail to capture the complete diversity of microorganisms present. Next Generation Sequencing (NGS) methods provide an efficient means to gather information about cultured and uncultured members of the microbiota. This article provides a method to characterize bacterial communities in terms of species composition using high-throughput sequencing. Briefly, by extracting the entire DNA content of a microbiota sample and performing a targeted high-throughput sequencing of the 16S rRNA gene, a phylogenetic marker for prokaryotes, prediction of the composition of the entire bacterial community is made possible. © 2017 by John Wiley & Sons, Inc.
Language
  • English
Open access status
closed
Identifiers
Persistent URL
https://sonar.ch/global/documents/117056
Export to…
JSON data
Dublin Core
BibTeX
RIS (Zotero, …)
Statistics
Document views: 64 File downloads: