Functional sequencing read annotation for high precision microbiome analysis.

Area of Science:

• Microbiology
• Bioinformatics
• Genomics

Background:

• Microbiomes are essential microbial communities crucial for understanding environmental and host functions.
• Metagenomic and metatranscriptomic sequencing offer insights into microbiome functionality.
• Current analytical methods often underutilize sequencing data by focusing only on known genes.

Purpose of the Study:

• To develop a novel algorithm and pipeline for accurate and efficient functional annotation of microbiome sequencing reads.
• To enable large-scale comparative microbiome analyses by significantly improving processing speed.
• To explore microbiome functional shifts in various environments and disease states.

Main Methods:

• Development of the 'faser' (functional annotation of sequencing reads) algorithm to map reads to molecular functions.
• Creation of the 'mi-faser' microbiome analysis pipeline, integrating 'faser' with a curated protein function database.
• Application of the pipeline to diverse datasets, including environmental samples (oil spill) and human cohorts (Prader-Willi syndrome, Crohn's Disease).

Main Results:

• The mi-faser pipeline accurately annotates microbiome molecular functionality with high speed.
• Identified novel oil degradation functions in BP oil-spill samples.
• Revealed specific gut microbiome functional responses to dietary interventions in children with Prader-Willi syndrome.
• Demonstrated mi-faser's ability to distinguish Crohn's Disease patient microbiomes from healthy controls, highlighting functions promoting inflammation.

Conclusions:

• mi-faser provides a rapid and accurate method for microbiome functional analysis.
• The tool facilitates the discovery of environment-specific and condition-dependent microbial functions.
• Microbiome functional profiling is critical for understanding disease pathogenesis, such as in Crohn's Disease.