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      Structure and function of the healthy pre-adolescent pediatric gut microbiome

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          Abstract

          Background

          The gut microbiome influences myriad host functions, including nutrient acquisition, immune modulation, brain development, and behavior. Although human gut microbiota are recognized to change as we age, information regarding the structure and function of the gut microbiome during childhood is limited. Using 16S rRNA gene and shotgun metagenomic sequencing, we characterized the structure, function, and variation of the healthy pediatric gut microbiome in a cohort of school-aged, pre-adolescent children (ages 7–12 years). We compared the healthy pediatric gut microbiome with that of healthy adults previously recruited from the same region (Houston, TX, USA).

          Results

          Although healthy children and adults harbored similar numbers of taxa and functional genes, their composition and functional potential differed significantly. Children were enriched in Bifidobacterium spp., Faecalibacterium spp., and members of the Lachnospiraceae, while adults harbored greater abundances of Bacteroides spp. From a functional perspective, significant differences were detected with respect to the relative abundances of genes involved in vitamin synthesis, amino acid degradation, oxidative phosphorylation, and triggering mucosal inflammation. Children’s gut communities were enriched in functions which may support ongoing development, while adult communities were enriched in functions associated with inflammation, obesity, and increased risk of adiposity.

          Conclusions

          Previous studies suggest that the human gut microbiome is relatively stable and adult-like after the first 1 to 3 years of life. Our results suggest that the healthy pediatric gut microbiome harbors compositional and functional qualities that differ from those of healthy adults and that the gut microbiome may undergo a more prolonged development than previously suspected.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s40168-015-0101-x) contains supplementary material, which is available to authorized users.

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          Most cited references74

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          Fast gapped-read alignment with Bowtie 2.

          As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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            QIIME allows analysis of high-throughput community sequencing data.

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              Search and clustering orders of magnitude faster than BLAST.

              Biological sequence data is accumulating rapidly, motivating the development of improved high-throughput methods for sequence classification. UBLAST and USEARCH are new algorithms enabling sensitive local and global search of large sequence databases at exceptionally high speeds. They are often orders of magnitude faster than BLAST in practical applications, though sensitivity to distant protein relationships is lower. UCLUST is a new clustering method that exploits USEARCH to assign sequences to clusters. UCLUST offers several advantages over the widely used program CD-HIT, including higher speed, lower memory use, improved sensitivity, clustering at lower identities and classification of much larger datasets. Binaries are available at no charge for non-commercial use at http://www.drive5.com/usearch.
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                Author and article information

                Contributors
                holliste@bcm.edu
                Journal
                Microbiome
                Microbiome
                Microbiome
                BioMed Central (London )
                2049-2618
                26 August 2015
                26 August 2015
                2015
                : 3
                : 36
                Affiliations
                [ ]Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX USA
                [ ]Department of Molecular & Human Genetics, Baylor College of Medicine, Houston, TX USA
                [ ]Department of Pediatrics, Baylor College of Medicine, Houston, TX USA
                [ ]Department of Molecular Virology & Microbiology, Baylor College of Medicine, Houston, TX USA
                [ ]Bioinformatics Research Laboratory, Baylor College of Medicine, Houston, TX USA
                [ ]Texas Children’s Microbiome Center, Department of Pathology, Texas Children’s Hospital, Houston, TX USA
                [ ]Children’s Nutrition Research Center, Houston, TX USA
                [ ]Pediatric Gastroenterology, Hepatology, and Nutrition, Texas Children’s Hospital, Houston, TX USA
                [ ]Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
                [ ]Alkek Center for Metagenomics and Microbiome Research, Baylor College of Medicine, Houston, TX USA
                Article
                101
                10.1186/s40168-015-0101-x
                4550057
                267dfe4e-eeb6-4cd2-a9df-15fc442c14a7
                © Hollister et al. 2015

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 21 May 2015
                : 12 August 2015
                Categories
                Research
                Custom metadata
                © The Author(s) 2015

                healthy gut microbiome,pediatric,wgs,16s rrna
                healthy gut microbiome, pediatric, wgs, 16s rrna

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