Project description:Six isolates of PT21/28 and six of PT32 were analysed by CGH using UBECarray3 microarrays (containing probes for E. coli K-12 str. MG1655 and O157:H7 str. EDL933 and Sakai) to define genotypic differences between phage types. gDNA from E.coli O157 str. Sakai was hybridised to all arrays to provide a universal control channel on all arrays.
Project description:Helicobacter pylori has a very plastic genome, reflecting its high rate of recombination and point mutation. This plasticity promotes divergence of the population by the development of subclones and presumably enhances adaptation to host niches. We have investigated the genotypic and phenotypic characteristics of two such subclones isolated from one patient as well as the genetic evolution of these isolates during experimental infection. Whole-genome genotyping of the isolates using DNA microarrays revealed that they were more similar to each other than to a panel of other genotyped strains recovered from different hosts. Nonetheless, they still showed significant differences. The genomic evolution of both isolates during the infection of conventionally raised and germ-free mice was monitored over the course of 3 months. The Cag PAI-positive isolate was also surveyed after a 10 month colonization of conventionally raised transgenic animals (n = 9 mice). Microarray analysis of the Cag PAI and sequence analysis of the cagA, recA, and 16S rRNA genes disclosed no changes in recovered isolates. Together, these results reveal that the H. pylori population infecting one individual can undergo significant divergence, creating stable subclones with substantial genotypic and phenotypic differences. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set
Project description:Helicobacter pylori has a very plastic genome, reflecting its high rate of recombination and point mutation. This plasticity promotes divergence of the population by the development of subclones and presumably enhances adaptation to host niches. We have investigated the genotypic and phenotypic characteristics of two such subclones isolated from one patient as well as the genetic evolution of these isolates during experimental infection. Whole-genome genotyping of the isolates using DNA microarrays revealed that they were more similar to each other than to a panel of other genotyped strains recovered from different hosts. Nonetheless, they still showed significant differences. The genomic evolution of both isolates during the infection of conventionally raised and germ-free mice was monitored over the course of 3 months. The Cag PAI-positive isolate was also surveyed after a 10 month colonization of conventionally raised transgenic animals (n = 9 mice). Microarray analysis of the Cag PAI and sequence analysis of the cagA, recA, and 16S rRNA genes disclosed no changes in recovered isolates. Together, these results reveal that the H. pylori population infecting one individual can undergo significant divergence, creating stable subclones with substantial genotypic and phenotypic differences. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Computed
Project description:Six isolates of PT21/28 and six of PT32 were analysed by CGH using UBECarray3 microarrays (containing probes for E. coli K-12 str. MG1655 and O157:H7 str. EDL933 and Sakai) to define genotypic differences between phage types. gDNA from E.coli O157 str. Sakai was hybridised to all arrays to provide a universal control channel on all arrays. gDNA from 12 PT 21/28 & 32 isolates were labelled with Cy5 and control gDNA from str. Sakai was labelled with Cy3. Test and control gDNA was hybridised to UBECarray3 microarrays. The LOWESS normalised relative signal to the Sakai control channel was used to compare between samples.
Project description:Pseudomonas aeruginosa is a predominant pathogen in chronic lung infections in individuals with cystic fibrosis (CF). Epidemic strains of P. aeruginosa, such as the Liverpool Epidemic Strain (LES), are capable of transferring between CF patients and have been associated with increased hospital visits and antibiotic treatments. Comparative genomics and phenotypic assays have shown that antibiotic resistance profiles differ among LES isolates and that genotype–phenotype associations are difficult to establish for resistance phenotypes in clinical isolates of P. aeruginosa based on these comparisons alone. We compared two LES isolates, LESlike1 and LESB58, and the common laboratory strain P. aeruginosa PAO1 using label-free quantitative proteomics to more accurately predict functional differences between strains. The proteomes of the LES isolates were found to be more similar to each other than to PAO1. However, we also observed a number of differences in the abundance of proteins involved in quorum sensing, virulence, and antibiotic resistance, including in the comparison of LESlike1 and LESB58. Specifically, the proteomic data revealed a higher abundance of proteins involved in polymyxin and aminoglycoside resistance in LESlike1. Minimum inhibitory concentration assays confirmed that LESlike1 has higher resistance to antibiotics from these classes. These findings provide an example of the ability of proteomic data to complement genotypic and phenotypic studies to understand resistance in clinical isolates.