Project description:PFGRC has developed a cost effective alternative to complete genome sequencing in order to study the genetic differences between closely related species and/or strains. The comparative genomics approach combines Gene Discovery (GD) and Comparative Genomic Hybridization (CGH) techniques, resulting in the design and production of species microarrays that represent the diversity of a species beyond just the sequenced reference strain(s) used in the initial microarray design. These species arrays may then be used to interrogate hundreds of closely related strains in order to further unravel their evolutionary relationships. The Neissiria are among most deadly pathogens world-wide. The infections and outbreaks caused by this pathogens is quite frequent despite existing diagnostic network and therapeutic means. Therefore, developing reliable diagnostic tools and efficient (broad-spectrum) therapeutics for Neisseria meningitidis remain a public health priority for every country in world today. The comparative genomics study will provide the largest hitherto genomic data sets regarding this pathogen.These large data sets will enable us as well as other members of scientific community to conduct comprehensive data mining in the form of gene association studies with statistical power and significance.
Project description:PFGRC has developed a cost effective alternative to complete genome sequencing in order to study the genetic differences between closely related species and/or strains. The comparative genomics approach combines Gene Discovery (GD) and Comparative Genomic Hybridization (CGH) techniques, resulting in the design and production of species microarrays that represent the diversity of a species beyond just the sequenced reference strain(s) used in the initial microarray design. These species arrays may then be used to interrogate hundreds of closely related strains in order to further unravel their evolutionary relationships. The Pneumococcus are among most deadly pathogens world-wide. The infections and outbreaks caused by this pathogens is quite frequent despite existing diagnostic network and therapeutic means. Therefore, developing reliable diagnostic tools and efficient (broad-spectrum) therapeutics for Streptococcus pneumoniae remain a public health priority for every country in world today. The comparative genomics study will provide the largest hitherto genomic data sets regarding this pathogen.These large data sets will enable us as well as other members of scientific community to conduct comprehensive data mining in the form of gene association studies with statistical power and significance.
Project description:This study provides comparative RNA-seq datasets for four freshwater bacterial isolates, Pseudomonas sp. FBCC-B13192, Herbaspirillum sp. FBCC-B12834, Pantoea sp. FBCC-B5559, and Micrococcus sp. FBCC-B5738, cultured under iron-replete (+100 uM FeCl3) and iron-limited (no FeCl3) conditions. Iron availability is a key factor influencing bacterial fitness, and iron limitation is known to activate siderophore biosynthesis, iron transport, and homeostasis pathways. A total of eight libraries generated in 2024 and 2025 were analyzed, comprising 349.9 million processed reads. Reference-guided mapping rates varied among strains, with higher mapping efficiency observed in Pseudomonas, Herbaspirillum, and Pantoea, while Micrococcus showed comparatively lower mapping rates under both conditions. Differential expression analysis revealed strain-specific responses to iron limitation. Genes related to pyoverdine and ferrichrome uptake were enriched in Pseudomonas and Herbaspirillum, enterobactin-associated pathways were prominent in Pantoea, and genes associated with siderophore production, heme utilization, and Fe-S cluster assembly were identified in Micrococcus. Raw sequencing data are available in the NCBI Sequence Read Archive under BioProject PRJNA1456794, and processed data are deposited in a public repository. These datasets provide a valuable resource for understanding bacterial adaptation to iron availability and for comparative transcriptomic analyses.
Project description:TraDIS study to identify novel immunity proteins and their effector proteins associated with the Type VI secretion system (T6SS) in Pseudomonas aeruginosaThese data are part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/
Project description:Pseudomonas aeruginosa is a common pathogen in the lungs of the cystic fibrosis patients. As infection develops the organism progressively adapts to its environment and its mode of pathogenesis alters, frequently including the loss of quorum sensing (QS) regulated virulence factors. We used microarrays to determine genomic differences by comparative genome hybridisation between two P. aeruginosa isolates from CF patients, one of which exhibited an active quorum sensing (QS) system (UUPA38) typical of early acute infection while the other was QS-compromised (UUPA85) typical of chronic CF-adapted infection.