Bact-to-Batch: A Microbiota-Based Tool to Determine Optimal Animal Allocation in Experimental Designs

Area of Science:

• Animal research methodology
• Microbiome analysis
• Experimental design

Background:

• Animal experimentation requires careful group allocation for reliable results.
• Random allocation of animals can introduce variability, particularly from gut microbiota.
• The 3Rs principle emphasizes using minimal animals for statistically significant outcomes.

Purpose of the Study:

• To develop a new method for assigning animals into experimental groups based on gut microbiota profiles.
• To minimize analytical bias and enhance the reproducibility of animal studies.
• To address the confounding factor of inter-animal gut microbiota variability.

Main Methods:

• 16S rRNA gene sequencing was employed to analyze the gut microbiota of mice.
• A pilot study with 20 mouse fecal samples aimed to create two groups of 10 mice with similar microbiota fingerprints.
• The developed approach was validated using previously published third-party data.

Main Results:

• The study successfully developed and piloted a method for microbiota-based animal grouping.
• The approach demonstrated the ability to establish groups with comparable gut microbiota profiles.
• Validation with external data supported the method's utility in improving experimental consistency.

Conclusions:

• A novel 16S rRNA gene sequencing-based approach can effectively group animals for experiments based on gut microbiota.
• This method helps mitigate variability, reduce analytical bias, and improve the reproducibility of animal studies.
• Embracing natural microbiota variation through targeted grouping enhances the robustness of experimental findings.