ARGA

ARGA analyzes and annotates antibiotic resistance genes (ARGs) in environmental metagenomes and evaluates ARG primer specificity and coverage by leveraging the SDARG (Sequence Database of Antibiotic Resistance Genes), which contains 1,260,069 protein sequences and 1,164,479 nucleotide sequences representing 448 ARG types across 18 antibiotic categories with hierarchical credibility and taxonomic information.

Key Features:

• ARG annotation: Performs annotation of antibiotic resistance genes within environmental metagenomic datasets.
• SDARG integration: Leverages the SDARG database comprising 1,260,069 protein sequences and 1,164,479 nucleotide sequences covering 448 ARG types and 18 antibiotic categories with hierarchical credibility and taxonomic information.
• Primer evaluation: Assesses primer specificity and coverage for ARG detection, reporting that 65.05% of evaluated primers have specificity ≥90% and 29.79% cover more than 50% of targeted sequences.
• Integrated primer database: Includes an ARG primer database of 658 published primer pairs targeting 173 ARGs.
• Alternative primer identification: Provides alternative primer options for targets with insufficient coverage or specificity.
• Environmental surveying support: Supports accurate detection and surveying of ARGs across diverse environmental samples.

Scientific Applications:

• Primer quality assessment: Evaluates existing ARG primer specificity and coverage to inform primer selection or redesign.
• ARG detection and annotation in metagenomes: Identifies and annotates ARGs in environmental metagenomic data using the SDARG reference sequences.
• Surveying ARG distribution: Enables surveying of ARG occurrence and distribution across environmental samples and ecological settings.
• Primer-driven study design: Informs primer choice and experimental design for molecular detection of ARGs.

Methodology:

ARGA leverages the SDARG sequence database for ARG annotation and uses an integrated primer database to evaluate primer specificity and coverage and to propose alternative primers where coverage or specificity is insufficient.