Literature DB >> 28134443

Challenges and opportunities for whole-genome sequencing-based surveillance of antibiotic resistance.

Anita C Schürch1, Willem van Schaik1.   

Abstract

Infections caused by drug-resistant bacteria are increasingly reported across the planet, and drug-resistant bacteria are recognized to be a major threat to public health and modern medicine. In this review, we discuss how whole-genome sequencing (WGS)-based approaches can contribute to the surveillance of the emergence and spread of antibiotic resistance. We outline the characteristics of sequencing technologies that are currently most used for WGS (Illumina short-read technologies and the long-read sequencing platforms developed by Pacific Biosciences and Oxford Nanopore). The challenges posed by the analysis of sequencing data sets for antimicrobial-resistance determinants and the solutions offered by modern bioinformatics tools are discussed. Finally, we illustrate the power of WGS-based surveillance of antimicrobial resistance by summarizing recent studies on the spread of the multidrug-resistant opportunistic pathogen Klebsiella pneumoniae and the transferable colistin-resistance gene mcr-1, in which high-throughput WGS analyses played essential roles. The implementation of WGS for surveillance of antibiotic-resistant bacteria is technically feasible and cost effective and provides actionable results with reference to infection control. Consequently, the time has come for laboratories to implement routine genome sequencing as part of their surveillance programs for antibiotic-resistant bacteria.
© 2017 New York Academy of Sciences.

Entities:  

Keywords:  Klebsiella pneumoniae; antibiotic resistance; bioinformatics; genomics; mcr-1

Mesh:

Year:  2017        PMID: 28134443     DOI: 10.1111/nyas.13310

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  27 in total

Review 1.  A comprehensive review on genomics, systems biology and structural biology approaches for combating antimicrobial resistance in ESKAPE pathogens: computational tools and recent advancements.

Authors:  P Priyamvada; Reetika Debroy; Anand Anbarasu; Sudha Ramaiah
Journal:  World J Microbiol Biotechnol       Date:  2022-07-05       Impact factor: 3.312

2.  A high-throughput multiplexing and selection strategy to complete bacterial genomes.

Authors:  Sergio Arredondo-Alonso; Anna K Pöntinen; François Cléon; Rebecca A Gladstone; Anita C Schürch; Pål J Johnsen; Ørjan Samuelsen; Jukka Corander
Journal:  Gigascience       Date:  2021-12-09       Impact factor: 6.524

3.  Antibiotic Susceptibility Profiles and Frequency of Resistance Genes in Clinical Shiga Toxin-Producing Escherichia coli Isolates from Michigan over a 14-Year Period.

Authors:  Sanjana Mukherjee; Heather M Blankenship; Jose A Rodrigues; Rebekah E Mosci; James T Rudrik; Shannon D Manning
Journal:  Antimicrob Agents Chemother       Date:  2021-08-23       Impact factor: 5.191

4.  Dissecting microbial communities and resistomes for interconnected humans, soil, and livestock.

Authors:  Alexandre Maciel-Guerra; Michelle Baker; Yue Hu; Wei Wang; Xibin Zhang; Jia Rong; Yimin Zhang; Jing Zhang; Jasmeet Kaler; David Renney; Matthew Loose; Richard D Emes; Longhai Liu; Junshi Chen; Zixin Peng; Fengqin Li; Tania Dottorini
Journal:  ISME J       Date:  2022-09-23       Impact factor: 11.217

Review 5.  Whole-Genome Sequencing of Bacterial Pathogens: the Future of Nosocomial Outbreak Analysis.

Authors:  Scott Quainoo; Jordy P M Coolen; Sacha A F T van Hijum; Martijn A Huynen; Willem J G Melchers; Willem van Schaik; Heiman F L Wertheim
Journal:  Clin Microbiol Rev       Date:  2017-10       Impact factor: 26.132

Review 6.  Applications of Machine Learning to the Problem of Antimicrobial Resistance: an Emerging Model for Translational Research.

Authors:  Melis N Anahtar; Jason H Yang; Sanjat Kanjilal
Journal:  J Clin Microbiol       Date:  2021-06-18       Impact factor: 5.948

7.  Survey on the Use of Whole-Genome Sequencing for Infectious Diseases Surveillance: Rapid Expansion of European National Capacities, 2015-2016.

Authors:  Joana Revez; Laura Espinosa; Barbara Albiger; Katrin Claire Leitmeyer; Marc Jean Struelens
Journal:  Front Public Health       Date:  2017-12-18

8.  Machine learning identifies signatures of host adaptation in the bacterial pathogen Salmonella enterica.

Authors:  Nicole E Wheeler; Paul P Gardner; Lars Barquist
Journal:  PLoS Genet       Date:  2018-05-08       Impact factor: 5.917

9.  Production of Mannosylerythritol Lipids (MELs) to be Used as Antimicrobial Agents Against S. aureus ATCC 6538.

Authors:  Chiara Ceresa; Simon Hutton; Marta Lajarin-Cuesta; Robert Heaton; Iain Hargreaves; Letizia Fracchia; Mayri A Díaz De Rienzo
Journal:  Curr Microbiol       Date:  2020-03-02       Impact factor: 2.188

10.  WGS characterization of MDR Enterobacterales with different ceftolozane/tazobactam susceptibility profiles during the SUPERIOR surveillance study in Spain.

Authors:  Marta Hernández-García; Sergio García-Fernández; María García-Castillo; Germán Bou; Emilia Cercenado; Mercedes Delgado-Valverde; Xavier Mulet; Cristina Pitart; Jesús Rodríguez-Lozano; Nuria Tormo; Diego López-Mendoza; Jazmín Díaz-Regañón; Rafael Cantón
Journal:  JAC Antimicrob Resist       Date:  2020-10-22
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