CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database
TL;DR: 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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TL;DR: In this article, the authors present the current understanding of the roles of the environment, including antibiotic pollution, in resistance evolution, in transmission and as a mere reflection of the regional antibiotic resistance situation in the clinic.
Abstract: Antibiotic resistance is a global health challenge, involving the transfer of bacteria and genes between humans, animals and the environment. Although multiple barriers restrict the flow of both bacteria and genes, pathogens recurrently acquire new resistance factors from other species, thereby reducing our ability to prevent and treat bacterial infections. Evolutionary events that lead to the emergence of new resistance factors in pathogens are rare and challenging to predict, but may be associated with vast ramifications. Transmission events of already widespread resistant strains are, on the other hand, common, quantifiable and more predictable, but the consequences of each event are limited. Quantifying the pathways and identifying the drivers of and bottlenecks for environmental evolution and transmission of antibiotic resistance are key components to understand and manage the resistance crisis as a whole. In this Review, we present our current understanding of the roles of the environment, including antibiotic pollution, in resistance evolution, in transmission and as a mere reflection of the regional antibiotic resistance situation in the clinic. We provide a perspective on current evidence, describe risk scenarios, discuss methods for surveillance and the assessment of potential drivers, and finally identify some actions to mitigate risks.
383 citations
TL;DR: The Metagenomic Gut Virus catalogue as discussed by the authors contains 189,680 genomes from 11,810 publicly available human stool metagenomes and identified 54,118 candidate viral species, 92% of which were not found in existing databases.
Abstract: Bacteriophages have important roles in the ecology of the human gut microbiome but are under-represented in reference databases. To address this problem, we assembled the Metagenomic Gut Virus catalogue that comprises 189,680 viral genomes from 11,810 publicly available human stool metagenomes. Over 75% of genomes represent double-stranded DNA phages that infect members of the Bacteroidia and Clostridia classes. Based on sequence clustering we identified 54,118 candidate viral species, 92% of which were not found in existing databases. The Metagenomic Gut Virus catalogue improves detection of viruses in stool metagenomes and accounts for nearly 40% of CRISPR spacers found in human gut Bacteria and Archaea. We also produced a catalogue of 459,375 viral protein clusters to explore the functional potential of the gut virome. This revealed tens of thousands of diversity-generating retroelements, which use error-prone reverse transcription to mutate target genes and may be involved in the molecular arms race between phages and their bacterial hosts.
159 citations
TL;DR: (meta)proteomics analysis of bacterial compartment of raw milk is applied to obtain a method that provides a measurement of circulating AMR involved proteins and gathers information about the whole bacterial composition.
Abstract: The environment, including animals and animal products, is colonized by bacterial species that are typical and specific of every different ecological niche. Natural and human-related ecological pressure promotes the selection and expression of genes related to antimicrobial resistance (AMR). These genes might be present in a bacterial consortium but might not necessarily be expressed. Their expression could be induced by the presence of antimicrobial compounds that could originate from a given ecological niche or from human activity. In this work, we applied (meta)proteomics analysis of bacterial compartment of raw milk in order to obtain a method that provides a measurement of circulating AMR involved proteins and gathers information about the whole bacterial composition. Results from milk analysis revealed the presence of 29 proteins/proteoforms linked to AMR. The detection of mainly β-lactamases suggests the possibility of using the milk microbiome as a bioindicator for the investigation of AMR. Moreover, it was possible to achieve a culture-free qualitative and functional analysis of raw milk bacterial consortia.
121 citations
Cites methods from "CARD 2020: antibiotic resistome sur..."
...Among other proteins with AMR potential identified using the CARD15 database there is an isoform of the Aminoglycoside N(6’)-acetyltransferase of Enterococcus hirae....
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...In order to identify the whole bacterial proteome, the obtained MS datasets were analyzed using different databases: UniProt KB/Swiss-Prot restricted to all reviewed Bacteria protein sequences (UniProt KB) and the Comprehensive Antibiotic Resistance Database (CARD) [14]....
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...Figure 3 shows the Venn diagram of the proteins identified in the two extractions using the CARD 15 database....
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...The same raw MS dataset was then searched against the CARD 15 database....
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...The qualitative identification of proteins was obtained by searching two different databases: (i) bacteria (UniProt KB/Swiss-Prot Protein Knowledgebase restricted to all Bacteria taxonomy) and (ii) The Comprehensive AMR Database (CARD, https://card.mcmaster.ca/) as FASTA files [13,14]....
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TL;DR: In this paper , the authors present a platform consisting of three modules, which are preconfigured bioinformatic pipelines, cloud toolsets, and online omics' courses, which combine analytic tools for metagenomics, genomes, transcriptome, proteomics and metabolomics.
Abstract: The platform consists of three modules, which are pre-configured bioinformatic pipelines, cloud toolsets, and online omics' courses. The pre-configured bioinformatic pipelines not only combine analytic tools for metagenomics, genomes, transcriptome, proteomics and metabolomics, but also provide users with powerful and convenient interactive analysis reports, which allow them to analyze and mine data independently. As a useful supplement to the bioinformatics pipelines, a wide range of cloud toolsets can further meet the needs of users for daily biological data processing, statistics, and visualization. The rich online courses of multi-omics also provide a state-of-art platform to researchers in interactive communication and knowledge sharing.
121 citations
University of Dhaka1, Loyola University Chicago2, BGC Trust University Bangladesh3, Indian Veterinary Research Institute4, Mawlana Bhashani Science and Technology University5, University of Szeged6, Sarhad University of Science & IT, Ring Road (Hayatabad Link) Peshawar7, State University of Bangladesh8, Kathmandu9
TL;DR: Antibiotics have been used to cure bacterial infections for more than 70 years, and these low-molecular-weight bioactive agents have also been used for a variety of other medicinal applications.
99 citations
References
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TL;DR: Biopython includes modules for reading and writing different sequence file formats and multiple sequence alignments, dealing with 3D macro molecular structures, interacting with common tools such as BLAST, ClustalW and EMBOSS, accessing key online databases, as well as providing numerical methods for statistical learning.
Abstract: The Biopython project is a mature open source international collaboration of volunteer developers, providing Python libraries for a wide range of bioinformatics problems. Biopython includes modules for reading and writing different sequence. le formats and multiple sequence alignments, dealing with 3D macromolecular structures, interacting with common tools such as BLAST, ClustalW and EMBOSS, accessing key online databases, as well as providing numerical methods for statistical learning.
3,855 citations
Additional excerpts
...Additional statistics are generated with Biopython (44)....
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University of Tübingen1, World Health Organization2, University of Cape Town3, European Centre for Disease Prevention and Control4, Utrecht University5, Tel Aviv University6, Laval University7, Boston University8, Centers for Disease Control and Prevention9, European Medicines Agency10, Food and Drug Administration11, Biomedical Advanced Research and Development Authority12, University of Melbourne13, University of Otago14, George Washington University15
TL;DR: Future development strategies should focus on antibiotics that are active against multidrug-resistant tuberculosis and Gram-negative bacteria, and include antibiotic-resistant bacteria responsible for community-acquired infections.
Abstract: Summary Background The spread of antibiotic-resistant bacteria poses a substantial threat to morbidity and mortality worldwide. Due to its large public health and societal implications, multidrug-resistant tuberculosis has been long regarded by WHO as a global priority for investment in new drugs. In 2016, WHO was requested by member states to create a priority list of other antibiotic-resistant bacteria to support research and development of effective drugs. Methods We used a multicriteria decision analysis method to prioritise antibiotic-resistant bacteria; this method involved the identification of relevant criteria to assess priority against which each antibiotic-resistant bacterium was rated. The final priority ranking of the antibiotic-resistant bacteria was established after a preference-based survey was used to obtain expert weighting of criteria. Findings We selected 20 bacterial species with 25 patterns of acquired resistance and ten criteria to assess priority: mortality, health-care burden, community burden, prevalence of resistance, 10-year trend of resistance, transmissibility, preventability in the community setting, preventability in the health-care setting, treatability, and pipeline. We stratified the priority list into three tiers (critical, high, and medium priority), using the 33rd percentile of the bacterium's total scores as the cutoff. Critical-priority bacteria included carbapenem-resistant Acinetobacter baumannii and Pseudomonas aeruginosa , and carbapenem-resistant and third-generation cephalosporin-resistant Enterobacteriaceae. The highest ranked Gram-positive bacteria (high priority) were vancomycin-resistant Enterococcus faecium and meticillin-resistant Staphylococcus aureus . Of the bacteria typically responsible for community-acquired infections, clarithromycin-resistant Helicobacter pylori , and fluoroquinolone-resistant Campylobacter spp, Neisseria gonorrhoeae , and Salmonella typhi were included in the high-priority tier. Interpretation Future development strategies should focus on antibiotics that are active against multidrug-resistant tuberculosis and Gram-negative bacteria. The global strategy should include antibiotic-resistant bacteria responsible for community-acquired infections such as Salmonella spp, Campylobacter spp, N gonorrhoeae , and H pylori . Funding World Health Organization.
3,184 citations
"CARD 2020: antibiotic resistome sur..." refers background in this paper
...In total, CARD Resistomes & Variants includes in silico surveillance of 82 pathogens of public health and AMR relevance, including each pathogen from the World Health Organization’s (WHO) Global Priority List of AntibioticResistant Bacteria (9)....
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19 May 2016
TL;DR: Suggested reading taken from the last 12 months of the Commission’s weekly publication “On the Radar” highlights papers and reporting exploring the evidence for the effectiveness of antimicrobial stewardship in hospitals, the scope of the problem of antimacterial resistance, and some specific stewardship strategies.
Abstract: Below is a selection of suggested reading taken from the last 12 months of the Commission’s weekly publication “On the Radar”. The selection highlights papers and reporting exploring the evidence for the effectiveness of antimicrobial stewardship in hospitals, the scope of the problem of antimicrobial resistance, and some specific stewardship strategies. Commission projects supporting antimicrobial stewardship are also highlighted.
2,391 citations
Journal Article•
TL;DR: The physician's role in this effort to prevent and controlling resistance is singularly important and requires the engagement of many different sectors of society.
Abstract: Preventing and controlling resistance requires the engagement of many different sectors of society. However, the physician's role in this effort is singularly important.
2,189 citations
TL;DR: This paper describes the new developments in PubChem, a key chemical information resource for the biomedical research community, which released new web interfaces, such as PubChem Target View page, Sources page, Bioactivity dyad pages and Patent View page.
Abstract: PubChem (https://pubchem.ncbi.nlm.nih.gov) is a key chemical information resource for the biomedical research community. Substantial improvements were made in the past few years. New data content was added, including spectral information, scientific articles mentioning chemicals, and information for food and agricultural chemicals. PubChem released new web interfaces, such as PubChem Target View page, Sources page, Bioactivity dyad pages and Patent View page. PubChem also released a major update to PubChem Widgets and introduced a new programmatic access interface, called PUG-View. This paper describes these new developments in PubChem.
2,083 citations
"CARD 2020: antibiotic resistome sur..." refers methods in this paper
...The biocuration team additionally annotates each ARO term with supplemental information from external references, including relevant publications (via NCBI PubMed (22)), chemical structures (for antibiotics in particular, via NCBI PubChem (25)) or protein structure via the Protein DataBank (rcsb....
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...The biocuration team additionally annotates each ARO term with supplemental information from external references, including relevant publications (via NCBI PubMed (22)), chemical structures (for antibiotics in particular, via NCBI PubChem (25)) or protein structure via the Protein DataBank (rcsb.org; 26))....
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