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      Altered Gut Microbiota and Endocannabinoid System Tone in Obese and Diabetic Leptin-Resistant Mice: Impact on Apelin Regulation in Adipose Tissue

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          Abstract

          Growing evidence supports the role of gut microbiota in the development of obesity, type 2 diabetes, and low-grade inflammation. The endocrine activity of adipose tissue has been found to contribute to the regulation of glucose homeostasis and low-grade inflammation. Among the key hormones produced by this tissue, apelin has been shown to regulate glucose homeostasis. Recently, it has been proposed that gut microbiota participate in adipose tissue metabolism via the endocannabinoid system (eCB) and gut microbiota-derived compounds, namely lipopolysaccharide (LPS). We have investigated gut microbiota composition in obese and diabetic leptin-resistant mice ( db/ db) by combining pyrosequencing and phylogenetic microarray analysis of 16S ribosomal RNA gene sequences. We observed a significant higher abundance of Firmicutes, Proteobacteria, and Fibrobacteres phyla in db/ db mice compared to lean mice. The abundance of 10 genera was significantly affected by the genotype. We identified the roles of the eCB and LPS in the regulation of apelinergic system tone (apelin and APJ mRNA expression) in genetic obese and diabetic mice. By using in vivo and in vitro models, we have demonstrated that both the eCB and low-grade inflammation differentially regulate apelin and APJ mRNA expression in adipose tissue. Finally, deep-gut microbiota profiling revealed that the gut microbial community of type 2 diabetic mice is significantly different from that of their lean counterparts. This indicates specific relationships between the gut microbiota and the regulation of the apelinergic system. However, the exact roles of specific bacteria in shaping the phenotype of db/ db mice remain to be determined.

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          MUSCLE: multiple sequence alignment with high accuracy and high throughput.

          We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.
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            CD-HIT Suite: a web server for clustering and comparing biological sequences

            Summary: CD-HIT is a widely used program for clustering and comparing large biological sequence datasets. In order to further assist the CD-HIT users, we significantly improved this program with more functions and better accuracy, scalability and flexibility. Most importantly, we developed a new web server, CD-HIT Suite, for clustering a user-uploaded sequence dataset or comparing it to another dataset at different identity levels. Users can now interactively explore the clusters within web browsers. We also provide downloadable clusters for several public databases (NCBI NR, Swissprot and PDB) at different identity levels. Availability: Free access at http://cd-hit.org Contact: liwz@sdsc.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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              Error-correcting barcoded primers for pyrosequencing hundreds of samples in multiplex.

              We constructed error-correcting DNA barcodes that allow one run of a massively parallel pyrosequencer to process up to 1,544 samples simultaneously. Using these barcodes we processed bacterial 16S rRNA gene sequences representing microbial communities in 286 environmental samples, corrected 92% of sample assignment errors, and thus characterized nearly as many 16S rRNA genes as have been sequenced to date by Sanger sequencing.
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                Author and article information

                Journal
                Front Microbiol
                Front. Microbio.
                Frontiers in Microbiology
                Frontiers Research Foundation
                1664-302X
                13 July 2011
                2011
                : 2
                : 149
                Affiliations
                [1] 1simpleMetabolism and Nutrition Research Group, Louvain Drug Research Institute, Université Catholique de Louvain Brussels, Belgium
                [2] 2simpleGenomic Research Lab, Geneva University Hospitals Geneva, Switzerland
                [3] 3simpleLaboratory of Microbiology, Wageningen University Wageningen, Netherlands
                [4] 4simpleINSERM U1048, Team 3, Institut des Maladies Métaboliques et Cardiovasculaires, Université Paul Sabatier, Université de Toulouse Toulouse, France
                [5] 5simpleBioanalysis and Pharmacology of Bioactive Lipids Laboratory, Louvain Drug Research Institute, Université Catholique de Louvain Brussels, Belgium
                [6] 6simpleDepartment of Veterinary Biosciences, University of Helsinki Helsinki, Finland
                [7] 7simpleLaboratory of Bacteriology, Geneva University Hospitals Geneva, Switzerland
                Author notes

                Edited by: Peter J. Turnbaugh, Harvard University, USA

                Reviewed by: Alain Stintzi, Ottawa Institute of Systems Biology, Canada; Wendy Garrett, Harvard School of Public Health, USA

                *Correspondence: Patrice D. Cani, Metabolism and Nutrition Research Group, Louvain Drug Research Institute, Université Catholique de Louvain, Avenue E. Mounier, 73 B1-73.11, B-1200 Brussels, Belgium. e-mail: patrice.cani@ 123456uclouvain.be

                This article was submitted to Frontiers in Cellular and Infection Microbiology, a specialty of Frontiers in Microbiology.

                Article
                10.3389/fmicb.2011.00149
                3139240
                21808634
                a7b97756-763f-42c8-b8c0-42a9a93f71e1
                Copyright © 2011 Geurts, Lazarevic, Derrien, Everard, Van Roye, Knauf, Valet, Girard, Muccioli, François, De Vos, Schrenzel, Delzenne and Cani.

                This is an open-access article subject to a non-exclusive license between the authors and Frontiers Media SA, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and other Frontiers conditions are complied with.

                History
                : 31 March 2011
                : 26 June 2011
                Page count
                Figures: 8, Tables: 4, Equations: 0, References: 63, Pages: 17, Words: 10416
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                lps,apelin,inflammation,metabolic endotoxemia,apj,type 2 diabetes,gut microbiota,endocannabinoid

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