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      The regional diversity of gut microbiome along the GI tract of male C57BL/6 mice

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          Abstract

          Background

          The proliferation and survival of microbial organisms including intestinal microbes are determined by their surrounding environments. Contrary to popular myth, the nutritional and chemical compositions, water contents, O2 contents, temperatures, and pH in the gastrointestinal (GI) tract of a human are very different in a location-specific manner, implying heterogeneity of the microbial composition in a location-specific manner.

          Results

          We first investigated the environmental conditions at 6 different locations along the GI tract and feces of ten weeks’ old male SPF C57BL/6 mice. As previously known, the pH and water contents of the GI contents at the different locations of the GI tract were very different from each other in a location-specific manner, and none of which were not even similar to those of feces. After confirming the heterogeneous nature of the GI contents in specific locations and feces, we thoroughly analyzed the composition of the microbiome of the GI contents and feces. 16S rDNA-based metagenome sequencing on the GI contents and feces showed the presence of 13 different phyla. The abundance of Firmicutes gradually decreased from the stomach to feces while the abundance of Bacteroidetes gradually increased. The taxonomic α-diversities measured by ACE (Abundance-based Coverage Estimator) richness, Shannon diversity, and Fisher’s alpha all indicated that the diversities of gut microbiome at colon and cecum were much higher than that of feces. The diversities of microbiome compositions were lowest in jejunum and ileum while highest in cecum and colon. Interestingly, the diversities of the fecal microbiome were lower than those of the cecum and colon. Beta diversity analyses by NMDS plots, PCA, and unsupervised hierarchical clustering all showed that the microbiome compositions were very diverse in a location-specific manner. Direct comparison of the fecal microbiome with the microbiome of the whole GI tracts by α-and β-diversities showed that the fecal microbiome did not represent the microbiome of the whole GI tract.

          Conclusion

          The fecal microbiome is different from the whole microbiome of the GI tract, contrary to a baseline assumption of contemporary microbiome research work.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12866-021-02099-0.

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          Most cited references40

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          MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

          The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
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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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              Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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                Author and article information

                Contributors
                jsklee@kangwon.ac.kr
                Journal
                BMC Microbiol
                BMC Microbiol
                BMC Microbiology
                BioMed Central (London )
                1471-2180
                12 February 2021
                12 February 2021
                2021
                : 21
                : 44
                Affiliations
                [1 ]GRID grid.411545.0, ISNI 0000 0004 0470 4320, Department of Biomedical Sciences and Institute for Medical Science, , Chonbuk National University Medical School, ; Jeonju, South Korea
                [2 ]GRID grid.410885.0, ISNI 0000 0000 9149 5707, Gwangju Center, Korea Basic Science Institute, ; Gwangju, South Korea
                [3 ]GRID grid.67105.35, ISNI 0000 0001 2164 3847, Department of Biochemistry, , Case Western Reserve University, ; Cleveland, OH USA
                [4 ]Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland, OH USA
                [5 ]GRID grid.411899.c, ISNI 0000 0004 0624 2502, Division of Rheumatology, , Gyeongsang National University Hospital, ; Jinju, South Korea
                [6 ]GRID grid.412010.6, ISNI 0000 0001 0707 9039, Department of Anatomic Pathology, School of Medicine, , Kangwon National University, Kangwon National University Hospital, ; 1 Gangwondaehak-gil, Chuncheon, Gangwon 24341 South Korea
                Author information
                http://orcid.org/0000-0003-1317-4133
                Article
                2099
                10.1186/s12866-021-02099-0
                7881553
                33579191
                2711c07a-6fe5-49d1-b645-0fe5f5fa2668
                © The Author(s) 2021

                Open AccessThis 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/. 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 in a credit line to the data.

                History
                : 10 August 2020
                : 26 January 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003710, Korea Health Industry Development Institute;
                Award ID: Grant No. HI18C2039
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Microbiology & Virology
                gut microbiome,α- diversity,β-diversity
                Microbiology & Virology
                gut microbiome, α- diversity, β-diversity

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