2016
DOI: 10.1128/mbio.00444-16
|View full text |Cite
|
Sign up to set email alerts
|

Whole-Genome Sequencing for Routine Pathogen Surveillance in Public Health: a Population Snapshot of Invasive Staphylococcus aureus in Europe

Abstract: The implementation of routine whole-genome sequencing (WGS) promises to transform our ability to monitor the emergence and spread of bacterial pathogens. Here we combined WGS data from 308 invasive Staphylococcus aureus isolates corresponding to a pan-European population snapshot, with epidemiological and resistance data. Geospatial visualization of the data is made possible by a generic software tool designed for public health purposes that is available at the project URL (http://www.microreact.org/project/Ek… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

14
167
0
3

Year Published

2016
2016
2022
2022

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 187 publications
(186 citation statements)
references
References 65 publications
14
167
0
3
Order By: Relevance
“…The use of WGS to infer AMR in MRSA is becoming more common place and has been argued to be at least as reliable as phenotypic testing (Aanensen et al, 2016). The results from this study show most LA-MRSA isolates, including several from the UK, harbored multiple AMR genes with the number ranging between 3 and 12, per isolate.…”
Section: Discussionmentioning
confidence: 99%
“…The use of WGS to infer AMR in MRSA is becoming more common place and has been argued to be at least as reliable as phenotypic testing (Aanensen et al, 2016). The results from this study show most LA-MRSA isolates, including several from the UK, harbored multiple AMR genes with the number ranging between 3 and 12, per isolate.…”
Section: Discussionmentioning
confidence: 99%
“…It has the potential to complement phenotypic‐resistance testing methods. The accuracy of WGS‐based prediction of antibiotic‐resistance phenotypes has been reported to be similar to phenotypic drug‐susceptibility testing in S. aureus , E. coli and K. pneumoniae , Salmonella , and M. tuberculosis . Particularly for slow‐growing bacteria, WGS‐based resistance prediction can be considerably faster than phenotypic testing, thereby contributing to timely, informed clinical decisions on antibiotic‐treatment strategies in patients.…”
Section: Antibiotic‐resistance Surveillance: Bioinformatics Challengementioning
confidence: 93%
“…Currently, if WGS is applied in clinical or public health microbiology, it is mainly used as a typing tool to deliver information on the genetic relatedness of isolates, which may be used for local and global epidemiological studies. WGS is highly reproducible in determining whether isolates are clonally related, with a higher resolution than traditional typing methods . The genetic relatedness of isolates can be determined by the phylogenetic analysis of single‐nucleotide variants (SNVs) or with core‐ or whole‐genome multilocus sequence typing (MLST) schemes .…”
Section: Antibiotic‐resistance Surveillance: Bioinformatics Challengementioning
confidence: 99%
“…8 Likewise genomic analysis of S. aureus clinical isolates has been able to map the development of fluoroquinolone resistance to the timeframe and region where the first fluoroquinolone clinical trials were conducted. 9
10.1080/21645515.2018.1476814-F0001Figure 1.The rapid global spread of antibiotic resistant S. aureus , 78 C. difficile 8 and E. coli. 79 .
…”
Section: Amr Is An Urgent Health Threat and Large Economic Problemmentioning
confidence: 99%