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Bacterial Flora of the Large Intestine01:29

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The large intestine hosts the most densely populated microbial ecosystem in the human body. This complex community primarily consists of anaerobic bacteria, with Bacillota (formerly Firmicutes) and Bacteroidota (formerly Bacteroidetes) as the predominant groups. The distribution of these microbes varies along different sections of the large intestine, influenced by local environmental factors such as oxygen availability and nutrient composition.The cecum, located at the beginning of the large...
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The gut microbiota includes trillions of microorganisms that colonize the human gastrointestinal tract, including bacteria, archaea, viruses, and fungi. This complex ecosystem plays a critical role in maintaining intestinal and systemic health. Most of these microbes inhabit the large intestine, establishing a relatively stable and diverse community that contributes to gut homeostasis through various metabolic, immunological, and protective mechanisms.Dominant bacterial phyla, such as...
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Co-culture of Living Microbiome with Microengineered Human Intestinal Villi in a Gut-on-a-Chip Microfluidic Device
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Decoding host-microbiome interactions through co-expression network analysis within the non-human primate intestine.

Mika Uehara1, Takashi Inoue2, Sumitaka Hase1

  • 1Department of Biosciences and Informatics, Keio University, Yokohama, Kanagawa, Japan.

Msystems
|April 1, 2024
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Summary
This summary is machine-generated.

This study reveals spatial variations in gut microbiome interactions along the colon. New algorithms identified host and microbiome gene modules, uncovering bacterial mediators in host-microbiome relationships.

Keywords:
common marmosetgut microbiomehost-microbiome interactionmetatranscriptomenetwork analysisnon-human primatetranscriptome

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Area of Science:

  • Microbiome research
  • Systems biology
  • Genomics

Background:

  • Host-microbiome interactions are crucial for health but vary spatially along the intestine.
  • Previous studies lacked detailed understanding of these spatial variations due to analytical limitations.

Purpose of the Study:

  • To investigate spatial variations in host-microbiome interactions along the primate colon.
  • To develop and apply a novel gene module extraction algorithm for analyzing inter-species gene co-expression networks.

Main Methods:

  • Dual transcriptome profiling of cecum, transverse colon, and rectum samples from common marmosets.
  • Gene co-expression network analysis to identify host-microbiome interactions.
  • Application of a graph theory-based algorithm for extracting tightly interacting gene modules.

Main Results:

  • Identified 27 host-microbiome gene modules, revealing spatial interaction dynamics.
  • Discovered novel associations, including host gene FBP1 with Bacteroides vulgatus genes (pfkA, fucI) and host B cell genes with Parabacteroides distasonis trpB.
  • The proposed algorithm outperformed existing methods in defining functionally related gene modules.

Conclusions:

  • Host-microbiome interactions exhibit significant spatial variation along the colon.
  • Bacterial genes can act as mediators in host-microbiome interplays.
  • The novel algorithm provides deeper insights into complex host-microbiome relationships.