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CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database

TLDR
A new Resistomes & Variants module provides analysis and statistical summary of in silico predicted resistance variants from 82 pathogens and over 100 000 genomes, able to summarize predicted resistance using the information included in CARD, identify trends in AMR mobility and determine previously undescribed and novel resistance variants.
Abstract
The Comprehensive Antibiotic Resistance Database (CARD; https://card.mcmaster.ca) is a curated resource providing reference DNA and protein sequences, detection models and bioinformatics tools on the molecular basis of bacterial antimicrobial resistance (AMR). CARD focuses on providing high-quality reference data and molecular sequences within a controlled vocabulary, the Antibiotic Resistance Ontology (ARO), designed by the CARD biocuration team to integrate with software development efforts for resistome analysis and prediction, such as CARD's Resistance Gene Identifier (RGI) software. Since 2017, CARD has expanded through extensive curation of reference sequences, revision of the ontological structure, curation of over 500 new AMR detection models, development of a new classification paradigm and expansion of analytical tools. Most notably, a new Resistomes & Variants module provides analysis and statistical summary of in silico predicted resistance variants from 82 pathogens and over 100 000 genomes. By adding these resistance variants to CARD, we are able to summarize predicted resistance using the information included in CARD, identify trends in AMR mobility and determine previously undescribed and novel resistance variants. Here, we describe updates and recent expansions to CARD and its biocuration process, including new resources for community biocuration of AMR molecular reference data.

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Exploring the mobilome and resistome of Enterococcus faecium in a One Health context across two continents

TL;DR: In this paper , features including resistance determinants, virulence factors, and mobile genetic elements (MGEs) were profiled in a set of 1273 E. faecium genomes from two disparate geographic locations (in the UK and Canada) from a range of agricultural, clinical, and associated habitats.
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ApmA Is a Unique Aminoglycoside Antibiotic Acetyltransferase That Inactivates Apramycin.

TL;DR: In this article, the authors show that apramycin is structurally unique among the previously described aminoglycoside-modifying enzymes and capable of conferring a high level of resistance to aparamycin.
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β-Lactamase–Producing, Ciprofloxacin-Resistant Neisseria meningitidis Isolated From a 5-Month-Old Boy in the United States

TL;DR: The first known case of disease in the United States due to a β-lactamase-producing, ciprofloxacin-resistant N. meningitidis was recently identified, which has potential implications on standard laboratory testing and empiric management of meningococcal disease.
Journal ArticleDOI

Machine Learning Prediction of Resistance to Subinhibitory Antimicrobial Concentrations from Escherichia coli Genomes.

TL;DR: In this paper, the authors used machine learning to predict the population doubling time and cell growth yield of 1,407 genetically diverse E. coli strains under exposure to three subinhibitory concentrations of six classes of antimicrobials from single-nucleotide genetic variants, accessory gene variation, and the presence of known AMR genes.
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