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Metabolic adaptation to a high-fat diet is associated with a change in the gut microbiota.

Matteo Serino | Elodie Luche | Sandra Gres | Audrey Baylac | Mathieu Bergé | Claire Cenac | Aurelie Waget | Pascale Klopp | Jason Iacovoni | Christophe Klopp | Jerome Mariette | Olivier Bouchez | Jerome Lluch | Francoise Ouarné | Pierre Monsan | Philippe Valet | Christine Roques | Jacques Amar | Anne Bouloumié | Vassilia Théodorou | Remy Burcelin
Gut | 2012

The gut microbiota, which is considered a causal factor in metabolic diseases as shown best in animals, is under the dual influence of the host genome and nutritional environment. This study investigated whether the gut microbiota per se, aside from changes in genetic background and diet, could sign different metabolic phenotypes in mice.

Pubmed ID: 22110050

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SILVA (tool)

RRID:SCR_006423

High quality ribosomal RNA databases providing comprehensive, quality checked and regularly updated datasets of aligned small (16S/18S, SSU) and large subunit (23S/28S, LSU) ribosomal RNA (rRNA) sequences for all three domains of life (Bacteria, Archaea and Eukarya). Supplementary services include a rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. The extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches. Alignment tool, SINA, is available for download as well as available for use online.

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