Metagenome-Kin

Metagenome-Kin analyzes high-throughput 16S, 28S, and ITS rRNA sequencing data to characterize microbial and fungal species composition and diversity in natural environments, including human gut microbiota.

Key Features:

• Automated Analysis: Automates processing of large-scale sequencing data for microbial community profiling.
• High-Throughput Capability: Optimized for high-throughput sequencing datasets and diverse sample types.
• Diverse Gene Targeting: Targets 16S, 28S, and ITS rRNA genes to identify bacteria and fungi across taxonomic levels.

Scientific Applications:

• Gut microbiota and obesity studies: Compares stool-derived microbiota from non-obese and obese subjects to identify differences in diversity and taxa, including shifts such as increased Firmicutes and decreased Bacteroidetes.
• Microbial and fungal ecology: Assesses species composition and diversity in natural environmental samples.
• Personalized medicine and nutritional intervention research: Supports exploration of targeted therapies or dietary modifications informed by gut microbiota composition.

Methodology:

Employs terminal restriction fragment length polymorphism (T-RFLP) analysis as an initial screening method and next-generation sequencing to achieve species-level resolution.