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PROVIDER: PRJNA641341 | ENA |
REPOSITORIES: ENA
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Project description:BACKGROUND: Meticillin-resistant Staphylococcus aureus (MRSA) infections remain important medical and veterinary challenges. The MRSA isolated from dogs and cats typically belong to dominant hospital-associated clones, in the UK mostly EMRSA-15 (CC22 SCCmecIV), suggesting original human-to-animal transmission. Nevertheless, little is known about host-specific genetic variation within the same S. aureus lineage. HYPOTHESIS/OBJECTIVES: To identify host-specific variation amongst MRSA CC22 SCCmecIV by comparing isolates from pets with those from in-contact humans using whole-genome microarray. METHODS: Six pairs of MRSA CC22 SCCmecIV from human carriers (owners and veterinary staff) and their respective infected in-contact pets were compared using a 62-strain whole-genome S. aureus microarray (SAM-62). The presence of putative host-specific genes was subsequently determined in a larger number of human (n = 47) and pet isolates (n = 93) by PCR screening. RESULTS: Variation in mobile genetic elements (MGEs) occurred frequently and appeared largE: The variation found amongst MGEs highlights that genetic adaptation in MRSA continues. However, host-specific MGEs were not detected, which supports the hypothesis that pets may not be natural hosts of MRSA CC22 and emphasizes that rigorous hygiene measures are critical to prevent contamination and infection of dogs and cats. The host specificity of individual heavy-metal resistance genes warrants further investigation into different selection pressures in humans and animals.
2013-11-02 | E-BUGS-138 | biostudies-arrayexpress
Project description:Children with acute measles were admitted to the University Teaching Hospital in Lusaka, Zambia. Peripheral blood was collected at hospital entry, discharge and 1-month follow-up. Control samples were also collected from uninfected children. All children were HIV negative. Keywords: Clinical timecourse
2007-06-07 | GSE5808 | GEO
Project description:Coordinated protein-coding sequence transcriptional responses of Staphylococcus aureus to antimicrobial exposure are well described but little is known of the role of bacterial non-coding, small RNAs (sRNAs) in these responses. Here we used RNAseq to investigate the sRNA response of the epidemic multiresistant hospital ST239 S. Aureus strain JKD6009 and its vancomycin-intermediate clinical derivative, JKD6008, after exposure to four antibiotics representing the major classes of antimicrobials used to treat methicillin-resistant S. Aureus infections. These agents included vancomycin, linezolid, ceftobiprole, and tigecycline. We identified 410 potential sRNAs (sRNAs) and then compared global sRNA and mRNA expression profiles at 2 and 6 hours, without antibiotic exposure, and after exposure to 0.5 x MIC for each antibiotic, for both JKD6009 (VSSA), and JKD6008 (VISA). Two strains were used (JKD6009, vancomycin-susceptible S. Aureus; JKD6008, in vivo derived vancomycin-intermediate S. Aureus). The complete JKD6008 genome seqeuce was used as the reference. Two time points, 2 hours and 6 hours after culture in Mueller Hinton broth. Strains were exposed to no antibiotic, or 0.5 x MIC for 10 mins for the following antibiotics; vancomycin, linezolid, ceftobiprole, tigecycline. RNA isolation procedures enriched for mRNA or sRNA. The 40 cDNA libraries were sequenced using a whole flowcell (8 lanes) in an Illumina genome analyzer GAII for 36 cycles. Data was analyzed using the BioConductor package limma, and by applying non-negative matrix factorization to determine the impact of antibiotic exposure on the sRNA and mRNA transcriptional profiles.
2013-06-10 | E-GEOD-40864 | biostudies-arrayexpress
Project description:Staphylococcus aureus causes disease in humans and a wide array of animals. Of note, S. aureus mastitis of ruminants, including cows, sheep and goats, results in major economic losses worldwide. Extensive variation in genome content exists among S. aureus pathogenic clones. However, the genomic variation among S. aureus strains infecting different animal species has not been well examined. To investigate variation in the genome content of human and ruminant S. aureus we carried out whole genome PCR scanning (WGPS), comparative genomic hybridizations (CGH), and directed DNA sequence analysis of strains of human, bovine, ovine, and caprine origin. Extensive variation in genome content was discovered including host- and ruminant-specific genetic loci. Ovine and caprine strains were genetically allied whereas bovine strains were heterogenous in gene content. As expected, mobile genetic elements such as pathogenicity islands and bacteriophages contributed to the variation in genome content between strains. However, remarkably, most host-specific differences were restricted to regions of the conserved core genome, which contained allelic variation in genes encoding proteins of known and unknown function. Many of these proteins are predicted to be exported and could play a role in host-pathogen interactions. These data suggest that diversification of the core genome may be more important than acquisition of novel genes for S. aureus host-adaptation. The host-specific determinants identified by the whole-genome approaches adopted in the current study represent excellent targets for studies of the evolution and molecular basis of S. aureus host specificity. Keywords: Strain vs strain
2008-11-19 | GSE10187 | GEO
Project description:Staphylococcus aureus can cause a broad spectrum of diseases that vary widely in clinical presentation and disease severity[121]. Methicillin-Resistant S. aureus (MRSA) strains first described in the 1960’s[122] were hospital acquired (HA MRSA), however in the 1990’s, community-associated MRSA strains (CA MRSA) were identified and are considered to be more virulent[16]. Therapeutics and management of MRSA focuses on novel antibacterials and vaccines targeting virulence factors. To date no clinical trials for vaccines have succeeded[123] due to the poor understanding of the pathogenic mechanisms exhibited by S.aureus.We investigated the differential gene expression of four clinical MRSA strains in vitro, belonging to HA and CA MRSA, at the stationary and exponential growth phases, using RNA-seq on the Ion torrent next generation sequencing platform. This study reveals the high diversity of virulence trait expression among MRSA strains within strains as well as between different growth phases, and also suggests potential factors other than PVL that contributes to enhanced virulence in CA MRSA
2020-01-07 | GSE70636 | GEO
Project description:Here, we report genome sequences of the two bioluminescent S. aureus strains Xen31 and Xen36, obtained from PerkinElmer (#119242 and #119243, respectively). Xen31 was derived from the parental MRSA strain ATCC33591, a clinical strain isolated at Elmhurst Hospital in New York City. Xen36 was derived from parental strain ATCC 49525, a clinical isolate from a bacteremic patient. A copy of the modified luxABCDE operon from Photorhadbus luminescenst is integrated in the chromosome of Xen31 and in a native plasmid of Xen36.
2022-12-14 | E-MTAB-12210 | biostudies-arrayexpress
Project description:Staphylococcus aureus is a high-priority pathogen causing severe infections with high morbidity and mortality worldwide. Many S. aureus strains are methicillin-resistant (MRSA) or even multi-drug resistant. It is one of the most successful and prominent modern pathogens. An effective fight against S. aureus infections requires novel targets for antimicrobial and antistaphylococcal therapies. Recent advances in whole-genome sequencing and high-throughput techniques facilitate the generation of genome-scale metabolic models (GEMs). Among the multiple applications of GEMs is drug-targeting in pathogens. Hence, comprehensive and predictive metabolic reconstructions of S. aureus could facilitate the identification of novel targets for antimicrobial therapies. This review aims at giving an overview of all available GEMs of multiple S. aureus strains. We downloaded all 114 available GEMs of S. aureus for further analysis. The scope of each model was evaluated, including the number of reactions, metabolites, and genes.Furthermore, all models were quality-controlled using Mᴇᴍᴏᴛᴇ, an open-source application with standardized metabolic tests. Growth capabilities and model similarities were examined. This review should lead as a guide for choosing the appropriate GEM for a given research question. With the information about the availability, the format, and the strengths and potentials of each model, one can either choose an existing model or combine several models to create models with even higher predictive values. This facilitates model-driven discoveries of novel antimicrobial targets to fight multi-drug resistant S. aureus strains.
2022-02-16 | MODEL2007110001 | BioModels