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Spatial Characteristics of Colonic Mucosa-Associated Gut Microbiota in Humans

  • Human Microbiome
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Abstract

Limited data exist on the spatial distribution of the colonic bacteria in humans. We collected the colonic biopsies from five segments of 27 polyp-free adults and collected feces from 13 of them. We sequenced the V4 region of the bacterial 16S rRNA gene using the MiSeq platform. The sequencing data were assigned to the amplicon sequence variant (ASV) using SILVA. Biodiversity and the relative abundance of the ASV were compared across the colonic segments and between the rectal and fecal samples. Bacterial functional capacity was assessed using Tax4fun. Each individual had a unique bacterial community composition (Weighted Bray–Curtis P value = 0.001). There were no significant differences in richness, evenness, community composition, and the taxonomic structure across the colon segments in all the samples. Firmicutes (47%), Bacteroidetes (39%), and Proteobacteria (6%) were the major phyla in all segments, followed by Verrucomicrobia, Fusobacteria, Desulfobacterota, and Actinobacteria. There were 15 genera with relative abundance > 1%, including Bacteroides, Faecalibacterium, Escherichia/Shigella, Sutterella, Akkermansia, Parabacteroides, Prevotella, Lachnoclostridium, Alistipes, Fusobacterium, Erysipelatoclostridium, and four Lachnospiraceae family members. Intra-individually, the community compositional dissimilarity was the greatest between the cecum and the rectum. There were significant differences in biodiversity and the taxonomic structure between the rectal and fecal bacteria. The bacterial community composition and structure were homogeneous across the large intestine in adults. The inter-individual variability of the bacteria was greater than inter-segment variability. The rectal and fecal bacteria differed in the community composition and structure.

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Acknowledgements

We thank Jocelyn Uriostegui, Sarah Plew, Ashley Johnson, Preksha Shah, Kathryn Royse, Ava Smith, and Mahmoud Al-Saadi for patient recruitment. We are grateful for Dr. David Ramsey’s help with data management and Professor Antone Opekun’s assistance with the study.

Funding

This research is supported in part by the Gillson Longenbaugh Foundation and Golfers Against Cancer organization (to LJ), the Cancer Prevention Research Institute of Texas (CPRIT) (RP#140767, to LJ and JFP), the National Institute of Diabetes and Digestive and Kidney Disease P30DK56338 (to HBE), the Cancer Center Support Grant NIH:NCI P30CA022453, and the Houston VA HSR&D Center for Innovations in Quality, Effectiveness and Safety (CIN13-413), and the Alkek research fund (to JFP). Dr. Jiao received partial salary support from National Cancer Institute R01CA172880 (to LJ). Dr. White receives partial salary support from the Department of Veterans Affairs (I01CX001430). The opinions expressed reflect those of the authors and not necessarily those of the Department of Veterans Affairs, the US government, or Baylor College of Medicine. The funding sources had no role in the study design, data collection, analysis, interpretation, and writing.

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Authors

Contributions

Li Jiao was responsible for the design, data analysis, and writing. Joseph F. Petrosino formed the study concept and was responsible for microbiota profiling and bioinformatics. Themistoklis Kourkoumpetis, and Diane Hutchinson participated in writing the manuscript. Diane Hutchinson, Nadim J. Ajami, and Kristi Hoffman managed the project and performed the bioinformatics analysis. Donna L. White and Jennifer Kramer participated in patient enrollment and edited the manuscript; David Y. Graham and Hashem B. El-Serag managed the clinic and edited the manuscript. Clark Hair, Rajesh Shah, Fasiha Kanwal, Maria Jarbrink-Sehgal, Nisreen Husain, Ruben Hernaez, Jason Hou, Rhonda Cole, Maria Velez, and Gyanprakash Ketwaroo collected specimens and edited the manuscript. All authors approved the content of the manuscript.

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Correspondence to Li Jiao.

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The study protocol (#H30941) was approved by the Institutional Review Board of Baylor College of Medicine and Michael E. DeBakey VA Medical Center.

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A trained research coordinator obtained informed consent from each participant.

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Participants provided informed consent to publish the research data in aggregate.

Conflict of Interest

The authors declare no competing interests.

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Jiao, L., Kourkoumpetis, T., Hutchinson, D. et al. Spatial Characteristics of Colonic Mucosa-Associated Gut Microbiota in Humans. Microb Ecol 83, 811–821 (2022). https://doi.org/10.1007/s00248-021-01789-6

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