Comparing Circadian Rhythmicity in the Human Gut Microbiome

Area of Science:

• Microbiology
• Bioinformatics
• Genomics

Background:

• The human microbiome plays a crucial role in health and disease.
• Analyzing the microbiome requires standardized protocols for sample handling and data processing.

Purpose of the Study:

• To detail a comprehensive protocol for fecal microbiome analysis.
• To establish methods for identifying disease-associated bacterial taxa and their rhythms.

Main Methods:

• Collection, storage, and preparation of fecal samples.
• 16S rRNA gene sequencing for microbiome profiling.
• Sequence clustering, bacterial taxonomy assignment, diversity analysis, and machine learning for feature extraction.
• Circadian analysis to detect microbial rhythms.

Main Results:

• A robust protocol for fecal microbiome analysis was established.
• Disease-associated features within the microbiome can be extracted using diversity analysis and machine learning.
• Circadian rhythms in bacterial taxonomies can be identified and compared between cohorts.

Conclusions:

• The described protocol facilitates standardized fecal microbiome analysis.
• Identifying differences in microbial rhythmicity can reveal disease-associated bacterial signatures.
• This approach aids in understanding the complex interplay between the microbiome and host health.