Literature DB >> 29950328

Lowering the Barriers to Routine Whole-Genome Sequencing of Bacteria in the Clinical Microbiology Laboratory.

Daniel D Rhoads1,2.   

Abstract

Whole-genome sequencing of bacterial isolates is increasingly being used to predict antibacterial susceptibility and resistance. Mason and coauthors describe the phenotypic susceptibility interpretations of more than 1,300 Staphylococcus aureus isolates tested against a dozen antistaphylococcal agents, and they compared these findings to susceptibility predictions made by analyzing whole-genome sequence data (J Clin Microbiol 56:e01815-17, 2018, https://doi.org/10.1128/JCM.01815-17). The genotype-phenotype susceptibility interpretations correlated in 96.3% (2,720/2,825) of resistant findings and 98.8% (11,504/11,639) of susceptible findings. This work by Mason and colleagues is helping to lower the barriers to using whole-genome sequencing of S. aureus in clinical microbiology practice.
Copyright © 2018 American Society for Microbiology.

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Year:  2018        PMID: 29950328      PMCID: PMC6113465          DOI: 10.1128/JCM.00813-18

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  36 in total

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2.  Whole-Genome Sequencing Analysis Accurately Predicts Antimicrobial Resistance Phenotypes in Campylobacter spp.

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Review 3.  Towards a Universal Molecular Microbiological Test.

Authors:  Richard J N Allcock; Amy V Jennison; David Warrilow
Journal:  J Clin Microbiol       Date:  2017-08-23       Impact factor: 5.948

4.  Microbial shifts and signatures of long-term remission in ulcerative colitis after faecal microbiota transplantation.

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Journal:  ISME J       Date:  2017-04-11       Impact factor: 10.302

5.  Rapid Nanopore Sequencing of Plasmids and Resistance Gene Detection in Clinical Isolates.

Authors:  Jamie K Lemon; Pavel P Khil; Karen M Frank; John P Dekker
Journal:  J Clin Microbiol       Date:  2017-10-11       Impact factor: 5.948

6.  Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort study.

Authors:  Timothy M Walker; Thomas A Kohl; Shaheed V Omar; Jessica Hedge; Carlos Del Ojo Elias; Phelim Bradley; Zamin Iqbal; Silke Feuerriegel; Katherine E Niehaus; Daniel J Wilson; David A Clifton; Georgia Kapatai; Camilla L C Ip; Rory Bowden; Francis A Drobniewski; Caroline Allix-Béguec; Cyril Gaudin; Julian Parkhill; Roland Diel; Philip Supply; Derrick W Crook; E Grace Smith; A Sarah Walker; Nazir Ismail; Stefan Niemann; Tim E A Peto
Journal:  Lancet Infect Dis       Date:  2015-06-23       Impact factor: 25.071

7.  Prediction of Staphylococcus aureus antimicrobial resistance by whole-genome sequencing.

Authors:  N C Gordon; J R Price; K Cole; R Everitt; M Morgan; J Finney; A M Kearns; B Pichon; B Young; D J Wilson; M J Llewelyn; J Paul; T E A Peto; D W Crook; A S Walker; T Golubchik
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Journal:  Pathology       Date:  2015-04       Impact factor: 5.306

9.  Complete Microbiota Engraftment Is Not Essential for Recovery from Recurrent Clostridium difficile Infection following Fecal Microbiota Transplantation.

Authors:  Christopher Staley; Colleen R Kelly; Lawrence J Brandt; Alexander Khoruts; Michael J Sadowsky
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10.  Genomic epidemiology and antimicrobial resistance of Neisseria gonorrhoeae in New Zealand.

Authors:  Robyn S Lee; Torsten Seemann; Helen Heffernan; Jason C Kwong; Anders Gonçalves da Silva; Glen P Carter; Rosemary Woodhouse; Kristin H Dyet; Dieter M Bulach; Timothy P Stinear; Benjamin P Howden; Deborah A Williamson
Journal:  J Antimicrob Chemother       Date:  2018-02-01       Impact factor: 5.790

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  5 in total

1.  Point-Counterpoint: Should We Be Performing Metagenomic Next-Generation Sequencing for Infectious Disease Diagnosis in the Clinical Laboratory?

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Journal:  J Clin Microbiol       Date:  2020-02-24       Impact factor: 5.948

2.  Application of Next-Generation Sequencing for Characterization of Surveillance and Clinical Trial Isolates: Analysis of the Distribution of β-lactamase Resistance Genes and Lineage Background in the United States.

Authors:  Rodrigo E Mendes; Ronald N Jones; Leah N Woosley; Vincent Cattoir; Mariana Castanheira
Journal:  Open Forum Infect Dis       Date:  2019-03-15       Impact factor: 3.835

3.  Overcoming the pitfalls of automatic interpretation of whole genome sequencing data by online tools for the prediction of pyrazinamide resistance in Mycobacterium tuberculosis.

Authors:  Tomotada Iwamoto; Yoshiro Murase; Shiomi Yoshida; Akio Aono; Makoto Kuroda; Tsuyoshi Sekizuka; Akifumi Yamashita; Kengo Kato; Takemasa Takii; Kentaro Arikawa; Seiya Kato; Satoshi Mitarai
Journal:  PLoS One       Date:  2019-02-28       Impact factor: 3.240

4.  Integrating Scalable Genome Sequencing Into Microbiology Laboratories for Routine Antimicrobial Resistance Surveillance.

Authors:  Mihir Kekre; Stefany Alejandra Arevalo; María Fernanda Valencia; Marietta L Lagrada; Polle Krystle V Macaranas; Geetha Nagaraj; Anderson O Oaikhena; Agnettah M Olorosa; David M Aanensen
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5.  Hindsight Is 2019-the Year in Clinical Microbiology.

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  5 in total

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