Related Experiment Video
Updated: Jan 24, 2026

A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model
Published on: February 28, 2018
Mouse microbiomes: overlooked culprits of experimental variability
1Department of Medicine, Section of Rheumatology, University of Chicago, South Maryland Avenue, Chicago, IL, 60637, USA. malegre@medicine.bsd.uchicago.edu.
Differences in mouse microbiomes, even in genetically identical mice, impact susceptibility to infections. A recent study highlights varying Salmonella enterica serovar Typhimurium infection risks based on microbiome composition.
Area of Science:
- Microbiology
- Immunology
- Genetics
Background:
- Genetically identical individuals can exhibit phenotypic variations.
- Microbial communities (microbiomes) play a crucial role in host health and disease.
- Variations in host responses to pathogens are increasingly linked to microbiome differences.
Purpose of the Study:
- To investigate the impact of microbiome variations on host susceptibility to infection.
- To demonstrate how differences in gut microbiota can influence disease outcomes in otherwise identical hosts.
- To provide an example of microbiome-mediated differences in Salmonella enterica serovar Typhimurium infection.
Main Methods:
- Comparative analysis of genetically similar mouse cohorts from different sources.
- Assessment of susceptibility to Salmonella enterica serovar Typhimurium infection.
- Microbiome profiling (details not provided in abstract).
Main Results:
- Significant differences in susceptibility to Salmonella enterica serovar Typhimurium infection were observed between mice from different vendors.
- These variations were attributed to differences in the mice's respective microbiomes.
- The study provides a concrete example of microbiome influence on pathogen response.
Conclusions:
- Microbiome composition is a critical factor determining host susceptibility to specific bacterial infections.
- Even in controlled genetic backgrounds, microbial communities can drive significant differences in disease outcomes.
- Understanding host-microbiome interactions is essential for predicting and managing infectious disease risks.
More Related Videos
Related Concept Videos
Variability: Analysis
The range is a simple measure of variability, indicating the difference between the highest and...
Random Variables
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
Variables Affecting Phosphorescence and Fluorescence
Work and Energy for Variable Forces
Multi-input and Multi-variable systems
In the absence of...
Fluid Pressure over Flat Plate of Variable Width
The pressure distribution on the plate can be calculated by determining the force that acts on a differential area strip of the plate. Thus, the magnitude of the force is equal to the...

