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Abstract
Gut mucosal microbes evolved closest to the host, developing specialized local communities. There is, however, insufficient knowledge of these communities as most studies have employed sequencing technologies to investigate faecal microbiota only. This work used shotgun metagenomics of mucosal biopsies to explore the microbial communities’ compositions of terminal ileum and large intestine in 5 healthy individuals. Functional annotations and genome-scale metabolic modelling of selected species were then employed to identify local functional enrichments. While faecal metagenomics provided a good approximation of the average gut mucosal microbiome composition, mucosal biopsies allowed detecting the subtle variations of local microbial communities. Given their significant enrichment in the mucosal microbiota, we highlight the roles of Bacteroides species and describe the antimicrobial resistance biogeography along the intestine. We also detail which species, at which locations, are involved with the tryptophan/indole pathway, whose malfunctioning has been linked to pathologies including inflammatory bowel disease. Our study thus provides invaluable resources for investigating mechanisms connecting gut microbiota and host pathophysiology.
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1 King’s College London, Centre for Host-Microbiome Interactions, Dental Institute, London, UK (GRID:grid.13097.3c) (ISNI:0000 0001 2322 6764)
2 Chalmers University of Technology, Department of Biology and Biological Engineering, Gothenburg, Sweden (GRID:grid.5371.0) (ISNI:0000 0001 0775 6028)
3 Stockholm University, Stress Research Institute, Stockholm, Sweden (GRID:grid.10548.38) (ISNI:0000 0004 1936 9377); Macquarie University, Department of Psychology, Macquarie Park, Australia (GRID:grid.1004.5) (ISNI:0000 0001 2158 5405); Karolinska Institutet, Department of Medicine Solna, Stockholm, Sweden (GRID:grid.4714.6) (ISNI:0000 0004 1937 0626)
4 University of Newcastle, Newcastle, Australia (GRID:grid.266842.c) (ISNI:0000 0000 8831 109X)
5 Karolinska Institutet, Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Stockholm, Sweden (GRID:grid.4714.6) (ISNI:0000 0004 1937 0626)
6 University of Gothenburg, Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Gothenburg, Sweden (GRID:grid.8761.8) (ISNI:0000 0000 9919 9582); Chinese Academy of Sciences, CAS Key Laboratory of Separation Science for Analytical Chemistry, Scientific Research Center for Translational Medicine, Dalian Institute of Chemical Physics, Dalian, China (GRID:grid.9227.e) (ISNI:0000000119573309)
7 KAIST, Department of Bio and Brain Engineering, Daejeon, Republic of Korea (GRID:grid.37172.30) (ISNI:0000 0001 2292 0500)
8 Metagenopolis, Institut National de la Recherche Agronomique, Jouy en Josas, France (GRID:grid.13097.3c)
9 Chalmers University of Technology, Department of Biology and Biological Engineering, Gothenburg, Sweden (GRID:grid.5371.0) (ISNI:0000 0001 0775 6028); BioInnovation Institute, Copenhagen N, Denmark (GRID:grid.5371.0)
10 Karolinska Institute, Centre for Translational Microbiome Research (CTMR), Department of Microbiology, Tumor and Cell Biology, & Science for Life Laboratory, Stockholm, Sweden (GRID:grid.4714.6) (ISNI:0000 0004 1937 0626)
11 King’s College London, Centre for Host-Microbiome Interactions, Dental Institute, London, UK (GRID:grid.13097.3c) (ISNI:0000 0001 2322 6764); KTH-Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden (GRID:grid.5037.1) (ISNI:0000000121581746)