Extensive use of indwelling devices in modern medicine has revoked higher incidence of device associated infections and most of these devices provide an ideal surface for microbial attachment to form strong biofilms. These obnoxious biofilms are responsible for persistent infections, longer hospitalization and high mortality rate. Gene regulations in bacteria play a significant role in survival, colonization and pathogenesis. Operons being a part of gene regulatory network favour cell colonization and biofilm formation in various pathogens. This review explains the functional role of various operons in biofilm expression and regulation observed in device-associated pathogens such as Staphylococcus aureus, Staphylococcus epidermidis and Pseudomonas aeruginosa.

SummarySouth Asian populations harbor a high degree of genetic diversity, due in part to demographic history. Two studies on genome-wide variation in Indian populations have shown that most Indian populations show varying degrees of admixture between ancestral north Indian and ancestral south Indian components. As a result of this structure, genetic variation in India appears to follow a geographic cline. Similarly, Indian populations seem to show detectable differences in diabetes and obesity prevalence between different geographic regions of the country. We tested the hypothesis that genetic variation at diabetes-and obesity-associated loci may be potentially related to different genetic ancestries. We genotyped 2977 individuals from 61 populations across India for 18 SNPs in genes implicated in T2D and obesity. We examined patterns of variation in allele frequency across different geographical gradients and considered state of origin and language affiliation. Our results show that most of the 18 SNPs show no significant correlation with latitude, the geographic cline reported in previous studies, or by language family. Exceptions include KCNQ1 with latitude and THADA and JAK1 with language, which suggests that genetic variation at previously ascertained diabetes-associated loci may only partly mirror geographic patterns of genome-wide diversity in Indian populations.