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Methods to Assess Microbial Communities01:19

Methods to Assess Microbial Communities

Microbial communities, comprising bacteria, archaea, and eukaryotic microorganisms, inhabit diverse ecosystems and play crucial roles in environmental and biological processes. Their diversity is defined by three main parameters: species richness (the number of distinct species), species abundance (the relative quantity of each species), and species evenness (how uniformly individual species are distributed in various locations). These factors together shape the structure and ecological balance...
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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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Microbial community interactions on a chip.

Duane S Juang1, Wren E Wightman1, Gabriel L Lozano2,3

  • 1Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706.

Proceedings of the National Academy of Sciences of the United States of America
|September 17, 2024
PubMed
Summary
This summary is machine-generated.

A new device, the Microbial Community Interaction (µCI) device, systematically studies microbial interactions. It revealed antibiotic antagonism and identified plant rhizosphere microbes affecting bacterial growth.

Keywords:
antibioticsfabricated microbial ecosystemsmicrobial communitiesmicrobial interactionsmicrofluidics

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Area of Science:

  • Microbiology
  • Ecology
  • Biotechnology

Background:

  • Multispecies microbial communities are crucial for Earth's ecosystems.
  • Understanding microbial interactions is vital but challenging due to complexity.
  • Previous methods lacked efficiency in studying numerous interactions.

Purpose of the Study:

  • To introduce a novel device for systematic study of microbial interactions.
  • To enable high-throughput screening of chemical and biological factors affecting microbial communities.
  • To investigate three-factor interactions influencing microbial survival and community dynamics.

Main Methods:

  • Development of the Microbial Community Interaction (µCI) device with a combinatorial well array.
  • Utilizing *Bacillus cereus* UW85 as a target organism with fluorescent readout.
  • Introducing antibiotics or microbial strains as variables in adjacent wells to create gradients.

Main Results:

  • The µCI device demonstrated that gentamicin and vancomycin are antagonistic in inhibiting *B. cereus* UW85.
  • Combination of gentamicin and vancomycin showed weaker inhibition than individual application.
  • Identified three-member plant rhizosphere communities that modulate *B. cereus* growth.

Conclusions:

  • The µCI device offers a scalable platform for systematic interrogation of microbial interactions.
  • It provides both strain-level and community-level insights into microbial community development.
  • This technology facilitates understanding of factors influencing microorganisms in isolation and in communities.