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1.
PLoS One ; 14(1): e0209688, 2019.
Article in English | MEDLINE | ID: mdl-30620734

ABSTRACT

Streptococcus pneumoniae displays increased resistance to antibiotic therapy following biofilm formation. A genome-wide search revealed that SP 0320 and SP 0675 (respectively annotated as 5-keto-D-gluconate-5-reductase and glucose dehydrogenase) contain the highest degree of homology to CsgA of Myxococcus xanthus, a signaling factor that promotes cell aggregation and biofilm formation. Single and double SP 0320 and SP 0675 knockout mutants were created in strain BS72; however, no differences were observed in the biofilm-forming phenotypes of mutants compared to the wild type strain. Using the chinchilla model of otitis media and invasive disease, all three mutants exhibited greatly increased virulence compared to the wild type strain (increased pus formation, tympanic membrane rupture, mortality rates). The SP 0320 gene is located in an operon with SP 0317, SP 0318 and SP 0319, which we bioinformatically annotated as being part of the Entner-Doudoroff pathway. Deletion of SP 0317 also resulted in increased mortality in chinchillas; however, mutations in SP 0318 and SP 0319 did not alter the virulence of bacteria compared to the wild type strain. Complementing the SP 0317, SP 0320 and SP 0675 mutant strains reversed the virulence phenotype. We prepared recombinant SP 0317, SP 0318, SP 0320 and SP 0675 proteins and confirmed their functions. These data reveal that disruption of genes involved in the degradation of ketogluconate, the Entner-Doudoroff pathway, and glucose dehydrogenase significantly increase the virulence of bacteria in vivo; two hypothetical models involving virulence triggered by reduced in carbon-flux through the glycolytic pathways are presented.


Subject(s)
Pneumococcal Infections/genetics , Streptococcus pneumoniae/genetics , Streptococcus pneumoniae/metabolism , Animals , Bacterial Proteins/genetics , Bacterial Proteins/metabolism , Biofilms , Carbohydrate Metabolism , Chinchilla/microbiology , Glucose/metabolism , Glucose 1-Dehydrogenase/genetics , Glucose 1-Dehydrogenase/metabolism , Glycolysis , Otitis Media/microbiology , Oxidoreductases/genetics , Oxidoreductases/metabolism , Phenotype , Pneumococcal Infections/microbiology , Sequence Deletion , Virulence
2.
BMC Genomics ; 12: 187, 2011 Apr 13.
Article in English | MEDLINE | ID: mdl-21489287

ABSTRACT

BACKGROUND: Staphylococcus aureus is associated with a spectrum of symbiotic relationships with its human host from carriage to sepsis and is frequently associated with nosocomial and community-acquired infections, thus the differential gene content among strains is of interest. RESULTS: We sequenced three clinical strains and combined these data with 13 publically available human isolates and one bovine strain for comparative genomic analyses. All genomes were annotated using RAST, and then their gene similarities and differences were delineated. Gene clustering yielded 3,155 orthologous gene clusters, of which 2,266 were core, 755 were distributed, and 134 were unique. Individual genomes contained between 2,524 and 2,648 genes. Gene-content comparisons among all possible S. aureus strain pairs (n = 136) revealed a mean difference of 296 genes and a maximum difference of 476 genes. We developed a revised version of our finite supragenome model to estimate the size of the S. aureus supragenome (3,221 genes, with 2,245 core genes), and compared it with those of Haemophilus influenzae and Streptococcus pneumoniae. There was excellent agreement between RAST's annotations and our CDS clustering procedure providing for high fidelity metabolomic subsystem analyses to extend our comparative genomic characterization of these strains. CONCLUSIONS: Using a multi-species comparative supragenomic analysis enabled by an improved version of our finite supragenome model we provide data and an interpretation explaining the relatively larger core genome of S. aureus compared to other opportunistic nasopharyngeal pathogens. In addition, we provide independent validation for the efficiency and effectiveness of our orthologous gene clustering algorithm.


Subject(s)
Genome, Bacterial , Haemophilus influenzae/genetics , Staphylococcus aureus/genetics , Streptococcus pneumoniae/genetics , Algorithms , Animals , Cattle , Gene Expression Regulation, Bacterial , Haemophilus influenzae/isolation & purification , Humans , Models, Genetic , Multigene Family , Open Reading Frames , Staphylococcal Infections/microbiology , Staphylococcus aureus/isolation & purification , Streptococcus pneumoniae/isolation & purification
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