CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database

Brian Alcock(McMaster University), William Huynh(McMaster University), Romeo Chalil(McMaster University), Keaton W Smith(McMaster University), Amogelang R. Raphenya(McMaster University), Mateusz A. Wlodarski(McMaster University), Arman Edalatmand(McMaster University), Aaron Petkau(Public Health Agency of Canada), Sohaib A Syed(McMaster University), Kara K. Tsang(McMaster University), Sheridan J.C. Baker(McMaster University), Mugdha Dave(McMaster University), Madeline C. McCarthy(McMaster University), Karyn M Mukiri(McMaster University), Jalees A. Nasir(McMaster University), Bahar Golbon(McMaster University), Hamna Imtiaz(McMaster University), Xingjian Jiang(McMaster University), Komal Kaur(McMaster University), Megan W‐L Kwong(McMaster University), Zi Cheng Liang(McMaster University), Keyu C Niu(McMaster University), Prabakar Shan(McMaster University), Jasmine Y J Yang(McMaster University), Kristen L. Gray(Simon Fraser University), Gemma R Hoad(Simon Fraser University), Baofeng Jia(Simon Fraser University), Timsy Bhando(McMaster University), Lindsey A. Carfrae(McMaster University), Maya A. Farha(McMaster University), Shawn French(McMaster University), Rodion Gordzevich(McMaster University), Kenneth Rachwalski(McMaster University), Megan M. Tu(McMaster University), Emily Bordeleau(McMaster University), Damion Dooley(Simon Fraser University), Emma Griffiths(Simon Fraser University), Haley L. Zubyk(McMaster University), Eric D. Brown(McMaster University), Finlay Maguire(Dalhousie University), Robert G. Beiko(Dalhousie University), William Hsiao(Simon Fraser University), Fiona S. L. Brinkman(Simon Fraser University), Gary Van Domselaar(Public Health Agency of Canada), Andrew G. McArthur(McMaster University)
Nucleic Acids Research
October 20, 2022
Cited by 2,064Open Access
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Abstract

The Comprehensive Antibiotic Resistance Database (CARD; card.mcmaster.ca) combines the Antibiotic Resistance Ontology (ARO) with curated AMR gene (ARG) sequences and resistance-conferring mutations to provide an informatics framework for annotation and interpretation of resistomes. As of version 3.2.4, CARD encompasses 6627 ontology terms, 5010 reference sequences, 1933 mutations, 3004 publications, and 5057 AMR detection models that can be used by the accompanying Resistance Gene Identifier (RGI) software to annotate genomic or metagenomic sequences. Focused curation enhancements since 2020 include expanded β-lactamase curation, incorporation of likelihood-based AMR mutations for Mycobacterium tuberculosis, addition of disinfectants and antiseptics plus their associated ARGs, and systematic curation of resistance-modifying agents. This expanded curation includes 180 new AMR gene families, 15 new drug classes, 1 new resistance mechanism, and two new ontological relationships: evolutionary_variant_of and is_small_molecule_inhibitor. In silico prediction of resistomes and prevalence statistics of ARGs has been expanded to 377 pathogens, 21,079 chromosomes, 2,662 genomic islands, 41,828 plasmids and 155,606 whole-genome shotgun assemblies, resulting in collation of 322,710 unique ARG allele sequences. New features include the CARD:Live collection of community submitted isolate resistome data and the introduction of standardized 15 character CARD Short Names for ARGs to support machine learning efforts.


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