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Where Does Neisseria Acquire Foreign Dna From: An Examination Of The Source Of Genomic And Pathogenic Islands And The Evolution Of The Neisseria Genus, Catherine Putonti, Bogdan Nowicki, Michael Shaffer, Yuriy Fofanov, Stella Nowicki
Where Does Neisseria Acquire Foreign Dna From: An Examination Of The Source Of Genomic And Pathogenic Islands And The Evolution Of The Neisseria Genus, Catherine Putonti, Bogdan Nowicki, Michael Shaffer, Yuriy Fofanov, Stella Nowicki
Catherine Putonti
Background Pathogenicity islands (PAIs) or genomic islands (GEIs) are considered to be the result of a recent horizontal transfer. Detecting PAIs/GEIs as well as their putative source can provide insight into the organism’s pathogenicity within its host. Previously we introduced a tool called S-plot which provides a visual representation of the variation in compositional properties across and between genomic sequences. Utilizing S-plot and new functionality developed here, we examined 18 publicly availableNeisseria genomes, including strains of both pathogenic and non-pathogenic species, in order to identify regions of unusual compositional properties (RUCPs) using both a sliding window as well as a …
From Where Does Neisseria Acquire Foreign Dna: An Examination Of The Source Of Genomic And Pathogenic Islands And The Evolution Of The Neisseria Genus, Catherine Putonti, Bogdan Nowicki, Michael Shaffer, Yuriy Fofanov, Stella Nowicki
From Where Does Neisseria Acquire Foreign Dna: An Examination Of The Source Of Genomic And Pathogenic Islands And The Evolution Of The Neisseria Genus, Catherine Putonti, Bogdan Nowicki, Michael Shaffer, Yuriy Fofanov, Stella Nowicki
Catherine Putonti
Background Pathogenicity islands (PAIs) or genomic islands (GEIs) are considered to be the result of a recent horizontal transfer. Detecting PAIs/GEIs as well as their putative source can provide insight into the organism’s pathogenicity within its host. Previously we introduced a tool called S-plot which provides a visual representation of the variation in compositional properties across and between genomic sequences. Utilizing S-plot and new functionality developed here, we examined 18 publicly available Neisseria genomes, including strains of both pathogenic and non-pathogenic species, in order to identify regions of unusual compositional properties (RUCPs) using both a sliding window as well as …