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Measuring the Effects of Bacteria and Chemicals on the Intestinal Permeability of Caenorhabditis elegans
Published on: December 3, 2019
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Detecting Changes in the Caenorhabditis elegans Intestinal Environment Using an Engineered Bacterial Biosensor
Jack W Rutter1, Tanel Ozdemir1, Evgeniy R Galimov2
1Department of Cell and Developmental Biology , University College London , London WC1E 6BT , United Kingdom.
ACS Synthetic Biology
|October 29, 2019
Summary
Researchers developed a novel experimental model using *Caenorhabditis elegans* to characterize bacterial biosensors in vivo. This system effectively detects changes in the nematode gut environment, advancing host-microbe research and diagnostics.
Area of Science:
- Microbiology
- Developmental Biology
- Synthetic Biology
Background:
- The nematode *Caenorhabditis elegans* is a valuable model organism for studying host-microbe interactions due to its transparent gut and defined microbiota.
- Characterizing bacterial biosensors within a living organism is crucial for developing diagnostic tools and understanding gut environments.
Purpose of the Study:
- To develop and validate an experimental model for characterizing whole-cell bacterial biosensors *in vivo* within *Caenorhabditis elegans*.
- To demonstrate the utility of this model for detecting environmental changes in the nematode intestine.
Main Methods:
- A dual-plasmid bacterial sensor system responsive to isopropyl β-d-1-thiogalactopyranoside was engineered and characterized *in vitro*.
- The sensor's performance was evaluated *in vivo* by introducing an inducer into the *C. elegans* intestinal environment.
Main Results:
- The bacterial biosensor system was successfully developed and validated *in vitro*.
- The sensor detected and reported on specific changes within the *C. elegans* intestinal environment upon introduction of an exogenous inducer.
Conclusions:
- The developed experimental model enables *in vivo* characterization of bacterial biosensors in *C. elegans*.
- This system facilitates the rational design of engineered bacterial circuits for diagnostic applications and reduces reliance on other animal models.
- The model aids in exploring complex questions in nematode and host-microbe biology.

