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: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:Urolithin A is a polyphenol derived from the multi-step metabolism of dietary ellagitannins by the human gut microbiota which can affect host health. Most, but not all, individuals harbor a microbiota capable of urolithin A production; however, the enzymes that dehydroxylate its dietary precursor, urolithin C, are unknown. Here, we used a combination of transcriptomics and proteomics to reveal a urolithin C dehydroxylase (ucd) operon that dehydroxylates 9-hydroxy urolithin compounds in Enterocloster spp. Using comparative genomics, we identified Lachnoclostridium pacaense as a novel urolithin C metabolizer. Biochemical characterization and structure predictions of proteins in the Ucd complex demonstrated that dehydroxylation was both NADH- and molybdopterin-dependent and used urolithin C as a terminal electron acceptor. A meta-analysis publicly available metagenomic data revealed that both bacteria and ucd operon genes are widely distributed in gut metagenomes and likely comprise keystone species in the metabolism of urolithins by the human gut microbiota.