MEGARes 2.0

MEGARes 2.0 provides a curated database and hierarchical ontology for identifying and quantifying antimicrobial, metal, and biocide resistance genes in high-throughput sequencing metagenomic datasets.

Key Features:

• Curated Resistance Gene Database: Contains approximately 7,868 curated gene accessions associated with antimicrobial, metal, and biocide resistance.
• Hierarchical Ontology Framework: Organizes resistance genes using an acyclic hierarchical ontology consisting of four compound types, 57 resistance classes, 220 resistance mechanisms, and 1,345 gene groups.
• Population-Level Resistome Analysis: Enables hierarchical count-based statistical analysis of resistance genes across microbial communities.
• Integration with AmrPlusPlus 2.0: Supports identification and quantification of antimicrobial resistance gene accessions in metagenomic datasets through the AmrPlusPlus (version 2.0) analysis pipeline.

Scientific Applications:

• Metagenomic Resistome Profiling: Detects and quantifies antimicrobial, metal, and biocide resistance genes in high-throughput sequencing datasets.
• Antimicrobial Resistance Surveillance: Supports epidemiological investigation of resistance gene distribution across microbial communities.
• Resistance Gene Classification: Provides structured annotations for statistical modeling and classifier development in antimicrobial resistance research.

Methodology:

MEGARes 2.0 analyzes high-throughput sequencing metagenomic data by mapping resistance gene sequences to a curated database organized within an acyclic hierarchical ontology and integrates with the AmrPlusPlus 2.0 pipeline to identify and quantify resistance gene accessions.