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STUDY OBJECTIVE 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. DESIGN Comparative whole genome sequencing. ISOLATES 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. MEASUREMENTS AND MAIN RESULTS 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. CONCLUSION 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. [ABSTRACT FROM AUTHOR]

Most biopsy and autopsy tissues are formalin-fixed and paraffin-embedded ( FFPE), but this process leads to RNA degradation that limits gene expression analysis. The RNA genome of the 1918 pandemic influenza virus was previously determined in a 9-year effort by overlapping RT-PCR from post-mortem samples. Here, the full genome of the 1918 virus at 3000× coverage was determined in one high-throughput sequencing run of a library derived from total RNA of a 1918 FFPE sample after duplex-specific nuclease treatments. Bacterial sequences associated with secondary bacterial pneumonias were also detected. Host transcripts were well represented in the library. Compared to a 2009 pandemic influenza virus FFPE post-mortem library, the 1918 sample showed significant enrichment for host defence and cell death response genes, concordant with prior animal studies. This methodological approach should assist in the analysis of FFPE tissue samples isolated over the past century from a variety of diseases. [ABSTRACT FROM AUTHOR]

α-Glucans such as starch and glycogen are abundant in the human oropharynx, the main site of group A Streptococcus (GAS) infection. However, the role in pathogenesis of GAS extracellular α-glucan binding and degrading enzymes is unknown. The serotype M1 GAS genome encodes two extracellular proteins putatively involved in α-glucan binding and degradation; pulA encodes a cell wall anchored pullulanase and amyA encodes a freely secreted putative cyclomaltodextrin α-glucanotransferase. Genetic inactivation of amyA, but not pulA, abolished GAS α-glucan degradation. The Δ amyA strain had a slower rate of translocation across human pharyngeal epithelial cells. Consistent with this finding, the Δ amyA strain was less virulent following mouse mucosal challenge. Recombinant AmyA degraded α-glucans into β-cyclomaltodextrins that reduced pharyngeal cell transepithelial resistance, providing a physiologic explanation for the observed transepithelial migration phenotype. Higher amyA transcript levels were present in serotype M1 GAS strains causing invasive infection compared with strains causing pharyngitis. GAS proliferation in a defined α-glucan-containing medium was dependent on the presence of human salivary α-amylase. These data delineate the molecular mechanisms by which α-glucan degradation contributes to GAS host–pathogen interaction, including how GAS uses human salivary α-amylase for its own metabolic benefit. [ABSTRACT FROM AUTHOR]