Project description:The aim of the study was to carry out a CGH study utilizing a set of 39 diverse Bacillus isolates. Thirty four B. cereus and five B. anthracis strains and isolates were chosen so as to represent different lineages based on previous characterizations, including MLEE and MLST (Helgason, Okstad et al. 2000; Helgason, Tourasse et al. 2004). They represent the spectrum of B. cereus phenotypic diversity by including soil, dairy and periodontal isolates in addition to virulent B. anthracis strains.
Project description:We performed shallow whole genome sequencing (WGS) on circulating free (cf)DNA extracted from plasma or cerebrospinal fluid (CSF), and shallow WGS on the tissue DNA extracted from the biopsy in order to evaluate the correlation between the two biomaterials. After library construction and sequencing (Hiseq3000 or Ion Proton), copy number variations were called with WisecondorX.
Project description:We compare the transcriptome of gnotobiotic Ae. aegypti generated by contaminating axenic (bacteria-free) larvae with bacterial isolates found in natural mosquito breeding sites. We focused on four bacterial isolates (Lysobacter, Flavobacterium, Paenibacillus and Enterobacteriaceae) and found that different gnotobiotic treatments resulted in massive transcriptomic changes throughout the mosquito development.
Project description:New and rapid diagnostic methods are needed for the detection of antimicrobial resistance to aid in the curbing of drug-resistant infections. Targeted LC-MS/MS is a method that could serve this purpose, as it can detect specific peptides of resistance mechanisms with high accuracy. In the current study, we aimed to develop an accurate, rapid and high-throughput targeted LC-MS/MS assay based on parallel reaction monitoring for detection of the most prevalent aminoglycoside modifying enzymes and 16S ribosomal RNA methyltransferases in E. coli and K. pneumoniae that confer resistance to the most commonly used aminoglycosides. Specific tryptic peptides needed for detection were selected and validated for AAC(3)-Ia, AAC(3)-II, AAC(3)-IV, AAC(3)-VI, AAC(6’)-Ib, AAC(6’)-Ib-cr, ANT(2”)-I, APH(3’)-VI, ArmA, RmtB, RmtC and RmtF. In total, 205 different isolates containing different aminoglycoside resistance mechanisms that consisted mostly of E. coli and K. pneumoniae were selected for assay development and validation. MS results were automatically analyzed and were compared to WGS results which were regarded as the reference. The average sensitivity and specificity for the detection of the different mechanisms by LC-MS/MS compared to WGS was 95.1 % and 98.0 %, respectively. Furthermore, MS results were also used to predict resistance and susceptibility to gentamicin, tobramycin and amikacin in only the E. coli and K. pneumoniae isolates (n=191). The category interpretations were correctly predicted for gentamicin in 97.4 % of the isolates, for tobramycin in 97.4 % of the isolates, and for amikacin in 82.7 % of the isolates. The current study shows that targeted LC-MS/MS can be applied for accurate and rapid detection of aminoglycoside resistance mechanisms.
Project description:Streptococcus agalactiae (Lancefield’s group B Streptococcus, GBS) is a major bacterial species of genus Streptococcus and has medical and veterinary importance by affecting mainly humans (Maione et al., 2005; Johri et al., 2006), cattle (Keefe, 1997) and fish (Mian et al., 2009). The GBS is the most important pathogen for the Nile tilapia, a global commodity of the aquaculture sector, causing outbreaks of septicemia and meningoencephalitis (Hernández et al., 2009; Mian et al., 2009). This study aimed to evaluate the global abundancy of proteins among the main genotypes of GBS isolated from fish identified in Brazil using a label free shotgun liquid chromatography-ultra definition mass spectrometry (LC-UDMSE) approach and to compare the differential expression of proteins identified between isolates from fish and human.
Project description:Whole genome sequencing (WGS) of tongue cancer samples and cell line was performed to identify the fusion gene translocation breakpoint. WGS raw data was aligned to human reference genome (GRCh38.p12) using BWA-MEM (v0.7.17). The BAM files generated were further analysed using SvABA (v1.1.3) tool to identify translocation breakpoints. The translocation breakpoints were annotated using custom scripts, using the reference GENCODE GTF (v30). The fusion breakpoints identified in the SvABA analysis were additionally confirmed using MANTA tool (v1.6.0).
Project description:This study identified and compared the bacterial diversity and the antimicrobial resistance profile of clinically relevant isolates around a newly developed hospital and university precinct