Literature DB >> 22439809

Bacterial genomics in infectious disease and the clinical pathology laboratory.

Randall J Olsen1, S Wesley Long, James M Musser.   

Abstract

CONTEXT: Throughout history, technologic advancements have fueled the engine of innovation, which, in turn, has driven discovery. Accordingly, recent advancements in DNA sequencing technology are revolutionizing bacterial genomics.
OBJECTIVE: To review important developments from the literature. The current state of bacterial genomics, with an emphasis on human pathogens and the clinical pathology laboratory, will be discussed. DATA SOURCES: A comprehensive review was performed of the relevant literature indexed in PubMed (National Library of Medicine) and referenced medical texts.
CONCLUSIONS: Many important discoveries bearing on infectious disease research and pathology laboratory practice have been achieved through whole-genome sequencing strategies. Bacterial genomics has improved our understanding of molecular pathogenesis, host-pathogen interactions, and antibiotic-resistance mechanisms. Bacterial genomics has also facilitated the study of population structures, epidemics and outbreaks, and newly identified pathogens. Many opportunities now exist for clinical pathologists to contribute to bacterial genomics, including in the design of new diagnostic tests, therapeutic agents, and vaccines.

Entities:  

Mesh:

Year:  2012        PMID: 22439809     DOI: 10.5858/arpa.2012-0025-RA

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  14 in total

1.  PBP2a mutations causing high-level Ceftaroline resistance in clinical methicillin-resistant Staphylococcus aureus isolates.

Authors:  S Wesley Long; Randall J Olsen; Shrenik C Mehta; Timothy Palzkill; Patricia L Cernoch; Katherine K Perez; William L Musick; Adriana E Rosato; James M Musser
Journal:  Antimicrob Agents Chemother       Date:  2014-08-25       Impact factor: 5.191

2.  The Resistant-Population Cutoff (RCOFF): a New Concept for Improved Characterization of Antimicrobial Susceptibility Patterns of Non-Wild-Type Bacterial Populations.

Authors:  Giorgia Valsesia; Michael Hombach; Florian P Maurer; Patrice Courvalin; Malgorzata Roos; Erik C Böttger
Journal:  J Clin Microbiol       Date:  2015-03-11       Impact factor: 5.948

3.  A genomic day in the life of a clinical microbiology laboratory.

Authors:  S Wesley Long; Dawn Williams; Chandni Valson; Concepcion C Cantu; Patricia Cernoch; James M Musser; Randall J Olsen
Journal:  J Clin Microbiol       Date:  2013-01-23       Impact factor: 5.948

4.  Clinical laboratory response to a mock outbreak of invasive bacterial infections: a preparedness study.

Authors:  Randall J Olsen; Nahuel Fittipaldi; Priyanka Kachroo; Misu A Sanson; S Wesley Long; Kathryn J Como-Sabetti; Chandni Valson; Concepcion Cantu; Ruth Lynfield; Chris Van Beneden; Stephen B Beres; James M Musser
Journal:  J Clin Microbiol       Date:  2014-09-24       Impact factor: 5.948

5.  Deriving group A Streptococcus typing information from short-read whole-genome sequencing data.

Authors:  Taryn B T Athey; Sarah Teatero; Aimin Li; Alex Marchand-Austin; Bernard W Beall; Nahuel Fittipaldi
Journal:  J Clin Microbiol       Date:  2014-03-19       Impact factor: 5.948

Review 6.  Routine use of microbial whole genome sequencing in diagnostic and public health microbiology.

Authors:  Claudio U Köser; Matthew J Ellington; Edward J P Cartwright; Stephen H Gillespie; Nicholas M Brown; Mark Farrington; Matthew T G Holden; Gordon Dougan; Stephen D Bentley; Julian Parkhill; Sharon J Peacock
Journal:  PLoS Pathog       Date:  2012-08-02       Impact factor: 6.823

7.  Integrated whole-genome sequencing and temporospatial analysis of a continuing Group A Streptococcus epidemic.

Authors:  Nahuel Fittipaldi; Gregory J Tyrrell; Donald E Low; Irene Martin; David Lin; Kumar L Hari; James M Musser
Journal:  Emerg Microbes Infect       Date:  2013-03-27       Impact factor: 7.163

Review 8.  Forest and Trees: Exploring Bacterial Virulence with Genome-wide Association Studies and Machine Learning.

Authors:  Jonathan P Allen; Evan Snitkin; Nathan B Pincus; Alan R Hauser
Journal:  Trends Microbiol       Date:  2021-01-14       Impact factor: 18.230

9.  Whole-genome enrichment and sequencing of Chlamydia trachomatis directly from clinical samples.

Authors:  Mette T Christiansen; Amanda C Brown; Samit Kundu; Helena J Tutill; Rachel Williams; Julianne R Brown; Jolyon Holdstock; Martin J Holland; Simon Stevenson; Jayshree Dave; C Y William Tong; Katja Einer-Jensen; Daniel P Depledge; Judith Breuer
Journal:  BMC Infect Dis       Date:  2014-11-12       Impact factor: 3.090

10.  KvarQ: targeted and direct variant calling from fastq reads of bacterial genomes.

Authors:  Andreas Steiner; David Stucki; Mireia Coscolla; Sonia Borrell; Sebastien Gagneux
Journal:  BMC Genomics       Date:  2014-10-09       Impact factor: 3.969

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