Differential gene expression analysis of virulence factors in Enterococcus faecalis using clustering algorithm

Daulatabad Swapna Vidhur; Kavya Sri Sai.C; Aysha Sherieff; Zahoorullah. S.

Volume : V, Issue : XII, December - 2016

Differential gene expression analysis of virulence factors in Enterococcus faecalis using clustering algorithm

Daulatabad Swapna Vidhur, Kavya Sri Sai. C, Aysha Sherieff, Zahoorullah. S.

Abstract :

Enterococci rank among leading causes of nosocomial bacteremia and urinary tract infection and are also a leading cause of community–acquired subacute endocarditis. Enterococcal factors that contribute to the pathogenesis of disease have been identified. Differences in abundance of virulence genes of mRNA from exponential phase cells grown in serum or urine are compared to baseline expression in 2×YT and the genes related to expression of the enterococcal cytolysin small environment–dependent differences in the abundance of mRNA for cytolysin structural genes. ?ese are cylLL and cylLS and regulatory genes cylR1 and cylR2 of Enterococcus faecalis have been studied by many researchers. Phylogenetic trees are used to represent evolutionary relationships among biological species or organisms. ?e construction of phylogenetic trees is based on the similarities or differences of their physical or genetic features. Traditional approaches of constructing phylogenetic trees mainly focus on physical features. ?e recent advancement of high–throughput technologies has led to accumulation of huge amounts of biological data, which in turn changed the way of biological studies in various aspects. In the present study, the differential expression of cytolysin structural (cylLL and cylLS) and regulatory genes of Enterococcus faecalis were analyzed using Cluster and Java Treeview.