lunes, 9 de febrero de 2015

Comparative Whole Genome Sequencing of Community-Associated Methici... - PubMed - NCBI

Comparative Whole Genome Sequencing of Community-Associated Methici... - PubMed - NCBI

Infectious Diseases with cells in the background

Epidemiology, Outbreaks, Transmission

 2015 Feb 3. doi: 10.1002/phar.1536. [Epub ahead of print]

Comparative Whole Genome Sequencing of Community-Associated Methicillin-Resistant Staphylococcus aureus Sequence Type 8 from Primary Care Clinics in a Texas Community.



Our understanding of the molecular dynamics driving the community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) epidemic at the whole genome level is limited. We sought to assess the use of whole genome sequencing (WGS) to evaluate the genomic diversity and genotypic prediction of antimicrobial resistance of CA-MRSA isolates from patients in South Texas.


Comparative whole genome sequencing.


Thirteen clinical CA-MRSA isolates recovered from patients presenting with skin and soft tissue infections to nine primary care clinics in the South Texas Ambulatory Research Network between 2010 and 2013.


Comparative WGS was performed on the 13 MRSA sequence type 8 clinical isolates. We compared the resistome of genes encoding for antibiotic resistance with a phenotypically derived antibiogram using standard antimicrobial susceptibility testing. The strains differed by an average of 72 single nucleotide polymorphisms (SNPs) per isolate in the core genome compared with FPR3757 (USA300, reference strain). There were a total of 623 unique SNPs in the core genome (range 47-88 SNPs per isolate). We identified 19 nonsynonymous SNPs in genes encoding proven or putative S. aureus virulence determinants in the core genome. There was complete concordance between genotypic evidence for antimicrobial resistance and the phenotypically derived antibiogram.


Overall, although these CA-MRSA isolates were similar on the level of clonal type, clinical syndrome, and geographic area, the strains were diverse at the genome level. Furthermore, our findings provide important proof-of-concept information for using WGS as a potential front-end screening tool for antimicrobial resistance predictions.
© 2014 Pharmacotherapy Publications, Inc.


Staphylococcus aureus; antimicrobial resistance; phylogeny; whole genome sequencing

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