StrainGE

StrainGE deconvolves and characterizes low-abundance microbial strains within complex microbial communities using short-read metagenomic sequencing data to enable strain-level identification and nucleotide-resolution variant detection.

Key Features:

• Strain deconvolution: Deconvolves complex mixtures to recover individual component strains from metagenomic samples.
• Low-coverage detection: Identifies strains at low coverage, reported down to 0.1x sequencing depth.
• Variant detection: Calls nucleotide-level variants for multiple conspecific strains, operable from coverages as low as 0.5x.
• Short-read metagenomics: Operates on short-read metagenomic sequencing data for nucleotide-resolution analysis.
• Application to complex microbiomes: Targets low-abundance strains within complex and human-associated microbiomes.

Scientific Applications:

• Human microbiome research: Tracking and characterizing conspecific strains in human-associated microbiomes.
• Environmental microbiology: Detecting and resolving low-abundance strains in environmental microbial communities.
• Biotechnology: Monitoring strain-level composition and variation relevant to biotechnological processes.
• Microbial interactions and pathogenesis: Investigating strain-specific genetic diversity underlying microbial interactions and disease mechanisms.
• Ecosystem functioning: Assessing contributions of individual strains to ecosystem-level processes.

Methodology:

Analyzes short-read metagenomic sequencing data to deconvolve strain mixtures and perform nucleotide-level variant detection, identifying strains down to ~0.1x coverage and calling variants for conspecific strains from ~0.5x coverage.