Identifying gut microbe-host phenotype relationships using combinatorial communities in gnotobiotic mice

Area of Science:

• Microbiology
• Immunology
• Metabolomics

Background:

• Identifying specific gut microbes that influence host phenotypes is difficult.
• The human gut microbiota plays a crucial role in host physiology, metabolism, and immunity.

Purpose of the Study:

• To develop a scalable and unbiased method for discovering gut microbiota members that influence specific host phenotypes.
• To understand the complex interactions between gut bacteria and host biology.

Main Methods:

• Generated a clonally arrayed collection of cultured and sequenced human gut bacteria.
• Introduced diverse bacterial consortia into germ-free mice to observe phenotype transmission.
• Utilized feature selection algorithms and monocolonizations to identify key bacterial strains.

Main Results:

• Identified bacterial strains that promote colonic regulatory T cell (Treg) accumulation and peripheral Treg expansion.
• Discovered bacterial strains modulating mouse adiposity and cecal metabolite concentrations.
• Demonstrated the ability to link specific microbial members to distinct host phenotypes.

Conclusions:

• The combinatorial approach provides a systems-level understanding of microbial contributions to human biology.
• This method enables the unbiased discovery of functional relationships between gut microbiota and host phenotypes.
• The findings open new avenues for microbiome-based therapeutic strategies.