Bacterial Antimicrobial Resistance Reference Gene Database. Bacterial Antimicrobial Resistance Reference Gene Database

This Bioproject contains annotated sequence records for representative DNA sequences that encode proteins conferring or contributing to resistance to various antibiotics. The current focus is on acquired resistance and represents the subset of genes/proteins in the "core" category used by AMRFinderPlus. This collection was built by aggregating collections from multiple sources, curating conflicts, and adding additional sequences found by review of the literature. Major contributors to NCBI reference set of antimicrobial resistance (AMR) genes include the Lahey group, Resfinder, the Center for Veterinary Medicine at the Food and Drug Administration, the Comprehensive Antimicrobial Resistance Database (CARD), the Institut Pasteur, Dr. Marilyn Roberts, and Dr. Derrick Crook. Curation was aided by the use of hidden Markov models (HMMs) from ResFams, Pfam, and TIGRFAMs collections. The sequences associated with this BioProject are a subset of sequences used by the AMRFinder and AMRFinderPlus tools. The reference set of proteins/genes is used in NCBI AMRFinderPlus. The system is used to identify acquired resistance genes/proteins in pathogen isolates as part of NCBI's Pathogen Detection project. Nucleotide records were constructed to include flanking regions of 100 base pairs each side of the coding region if such regions were available in the original sequence report. RefSeq staff curated this collection in order to provide an informative product name for each AMR protein and as a resource for the research community. These curated product names will be used in NCBI annotation products and processes including those for PGAP and RefSeq. Beta-lactamases whose product names reflect allele designations that differ by even a single amino acid are included here as single amino acid changes can result in functional differences. Those interested in requesting a new allele designation for a beta-lactamase will find details the NCBI Pathogen Detection page.