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      A multi-disciplinary comparison of great ape gut microbiota in a central African forest and European zoo

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          Abstract

          Comparisons of mammalian gut microbiota across different environmental conditions shed light on the diversity and composition of gut bacteriome and suggest consequences for human and animal health. Gut bacteriome comparisons across different environments diverge in their results, showing no generalizable patterns linking habitat and dietary degradation with bacterial diversity. The challenge in drawing general conclusions from such studies lies in the broad terms describing diverse habitats (“wild”, “captive”, “pristine”). We conducted 16S ribosomal RNA gene sequencing to characterize intestinal microbiota of free-ranging sympatric chimpanzees and gorillas in southeastern Cameroon and sympatric chimpanzees and gorillas in a European zoo. We conducted participant-observation and semi-structured interviews among people living near these great apes to understand better their feeding habits and habitats. Unexpectedly, bacterial diversity (ASV, Faith PD and Shannon) was higher among zoo gorillas than among those in the Cameroonian forest, but zoo and Cameroonian chimpanzees showed no difference. Phylogeny was a strong driver of species-specific microbial composition. Surprisingly, zoo gorilla microbiota more closely resembled that of zoo chimpanzees than of Cameroonian gorillas. Zoo living conditions and dietary similarities may explain these results. We encourage multidisciplinary approach integrating environmental sampling and anthropological evaluation to characterize better diverse environmental conditions of such investigations.

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          DADA2: High resolution sample inference from Illumina amplicon data

          We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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            The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

            SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, 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.
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              Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies

              16S ribosomal RNA gene (rDNA) amplicon analysis remains the standard approach for the cultivation-independent investigation of microbial diversity. The accuracy of these analyses depends strongly on the choice of primers. The overall coverage and phylum spectrum of 175 primers and 512 primer pairs were evaluated in silico with respect to the SILVA 16S/18S rDNA non-redundant reference dataset (SSURef 108 NR). Based on this evaluation a selection of ‘best available’ primer pairs for Bacteria and Archaea for three amplicon size classes (100–400, 400–1000, ≥1000 bp) is provided. The most promising bacterial primer pair (S-D-Bact-0341-b-S-17/S-D-Bact-0785-a-A-21), with an amplicon size of 464 bp, was experimentally evaluated by comparing the taxonomic distribution of the 16S rDNA amplicons with 16S rDNA fragments from directly sequenced metagenomes. The results of this study may be used as a guideline for selecting primer pairs with the best overall coverage and phylum spectrum for specific applications, therefore reducing the bias in PCR-based microbial diversity studies.
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                Author and article information

                Contributors
                tamara.giles-vernick@pasteur.fr
                jerome.le-goff@aphp.fr
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                5 November 2020
                5 November 2020
                2020
                : 10
                : 19107
                Affiliations
                [1 ]GRID grid.420021.5, ISNI 0000 0001 2153 6793, Eco-anthropologie, UMR7206 CNRS/MNHN/Université de Paris, Site du Musée de L’Homme, ; Paris, France
                [2 ]GRID grid.428999.7, ISNI 0000 0001 2353 6535, Institut Pasteur, Anthropology and Ecology of Disease Emergence Unit, ; Paris, France
                [3 ]GRID grid.16753.36, ISNI 0000 0001 2299 3507, Department of Anthropology, , Northwestern University, ; Evanston, USA
                [4 ]GRID grid.440050.5, ISNI 0000 0004 0408 2525, Humans and the Microbiome, CIFAR, ; Toronto, Canada
                [5 ]Université de Paris, Equipe INSIGHT, Inserm U976, 75010 Paris, France
                [6 ]GRID grid.413328.f, ISNI 0000 0001 2300 6614, Département des Agents Infectieux, Virologie et Greffes, , AP-HP, Hôpital Saint-Louis, ; 75010 Paris, France
                [7 ]GRID grid.259030.d, ISNI 0000 0001 2238 1260, Department of Anthropology, , City University of New York – Lehman College, ; New York, NY USA
                [8 ]Ministry of Agriculture and Rural Development, Yaounde, Cameroon
                [9 ]GRID grid.418179.2, Centre Pasteur du Cameroun, ; Yaounde, Cameroon
                Article
                75847
                10.1038/s41598-020-75847-3
                7645722
                33154444
                efafb959-e708-49ab-add6-493d4c0e1119
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 14 May 2020
                : 15 October 2020
                Funding
                Funded by: Agence Nationale de la Recherche
                Award ID: ANR-14-CE31-0004-01
                Award Recipient :
                Funded by: INCEPTION
                Award ID: PIA/ANR-16-CONV-0005
                Award Recipient :
                Funded by: Canadian Institute for Advanced Research
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                microbiome,environmental impact
                Uncategorized
                microbiome, environmental impact

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