A bioinformatics resource for antimicrobial resistance (AMR) surveillance in healthcare, agriculture and environmental settings

About

Background The Comprehensive Antibiotic Resistance Database (CARD) is a bioinformatic resource for antimicrobial resistance (AMR) surveillance in healthcare, agriculture and environmental settings. Technology Overview The CARD is an ontology- and model-based framework for detection of antibiotic resistance genes. It contains an expert-curated collection of characterized, peer-reviewed resistance determinants and associated antibiotics, organized by the Antibiotic Resistance Ontology (ARO) and AMR gene detection models. The software utilizes these detection models for predicting AMR from genome sequences. Other associated tools include the Resistance Gene Identifier (RGI) which is a novel genome analysis tool for resistome prediction. It annotates DNA and protein sequences and detects matches to CARD reference sequences, variants of known AMR genes and emergent threats. Resistomes is a computer-generated data set including genome annotation and variants data using RGI for 79 pathogens of interest. For each of these pathogens, complete chromosome sequences, plasmid sequences, and whole genome shotgun assemblies were analysed individually by RGI to generate prevalence data. Results are further categorized using the ARO, e.g. “beta-lactam resistance protein”, “antibiotic inactivation enzyme”, etc. Further Details: The CARD and associated tools are available online at card.mcmaster.ca. #15-055

Key Benefits

• Expert-curated database that is updated monthly • 3997 ontology terms, 2492 reference sequences, 1215 SNPs, 2447 publications, 2540 AMR detection models • Software for prediction of resistance genes from isolates or metagenomic samples from clinical, environmental, or agricultural samples

Applications

• Predict antimicrobial resistance (AMR) from genome sequences • Metagenomic analysis • Pathogen of origin prediction • Prevalence of AMR determinants • Regulatory submissions and product registration for agricultural products • Commercial services to analyse genomes • Understanding molecular mechanisms of drug resistance, particularly drug development

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