Genome-wide lone strand adenine methylation in Deinococcus radiodurans R1: Regulation of gene expression through DR0643-dependent adenine methylation.

DNA methylation is a covalent modification of adenine or cytosine in the genome of an organism and is found in diverse microbes including the radiation resistant bacterium Deinococcus radiodurans R1. Although earlier findings have confirmed repression or de-repression of certain genes in adenine methyltransferase (DR_0643/Dam1) deficient D. radiodurans mutant however, the overall regulatory aspects of Dam1-mediated adenine methylation remain mostly unexplored.

Functional and regulatory aspects of oxidative stress response in X monosomy.

The partial/complete loss of one X chromosome in a human female leads to Turner syndrome (TS). TS individuals display a range of phenotypes including short stature, osteoporosis, ovarian malfunction, diabetes, and thyroid dysfunction. Epigenetic factors and regulatory networks are distinctly different in X monosomy (45, X).

Analysis of drug resistance marker genes of after implementation of artemisinin-based combination therapy in Pune district, India.

The global emergence and spread of malaria parasites resistant to antimalarial drugs is a major problem in malaria control and elimination. In this study, samples from Pune district were characterized to determine prevalence of molecular markers of resistance to chloroquine ( codons C72S, M74I, N75E, K76T and -1 N86Y, Y184F), pyrimethamine ( C50R, N51I, C59R, S108N), sulfadoxine (, S436A, A437G, K540E, A581G), and artemisinin (, C580Y, R539T). The K76T mutation was found in 78% samples as CVMNT, SVMNT and CVIET haplotype.

N6-methyladenine and epigenetic immunity of Deinococcus radiodurans.

DNA methylation is ubiquitously found in all three domains of life. This epigenetic modification on adenine or cytosine residues serves to regulate gene expression or to defend against invading DNA in bacteria. Here, we report the significance of N6-methyladenine (6mA) to epigenetic immunity in Deinococcus radiodurans.

Construction, analysis and validation of co-expression network to understand stress adaptation in Deinococcus radiodurans R1.

Systems biology based approaches have been effectively utilized to mine high throughput data. In the current study, we have performed system-level analysis for Deinococcus radiodurans R1 by constructing a gene co-expression network based on several microarray datasets available in the public domain. This condition-independent network was constructed by Weighted Gene Co-expression Network Analysis (WGCNA) with 61 microarray samples from 9 different experimental conditions.