Sudipta Sankar Bora

A metagenomic approach to decipher the indigenous microbial communities of arsenic contaminated groundwater of Assam

Metagenomic approach was used to understand the structural and functional diversity present in arsenic contaminated groundwater of the Ganges Brahmaputra Delta aquifer system. A metagene dataset (coded as TTGW1) of 89,171 sequences (totaling 125,449,864 base pairs) with an average length of 1406 bps was annotated. About 74,478 sequences containing 101,948 predicted protein coding regions passed the quality control. Taxonomical classification revealed abundance of bacteria that accounted for 98.3% of the microbial population of the metagenome. Eukaryota had an abundance of 1.1% followed by archea that showed 0.4% abundance. In phylum based classification, Proteobacteria was dominant (62.6%) followed by Bacteroidetes (11.7%), Planctomycetes (7.7%), Verrucomicrobia (5.6%), Actinobacteria (3.7%) and Firmicutes (1.9%). The Clusters of Orthologous Groups (COGs) analysis indicated that the protein regulating the metabolic functions constituted a high percentage (18,199 reads; 39.3%) of the whole metagenome followed by the proteins regulating the cellular processes (22.3%). About 0.07% sequences of the whole metagenome were related to genes coding for arsenic resistant mechanisms. Nearly 50% sequences of these coded for the arsenate reductase enzyme (EC. 1.20.4.1), the dominant enzyme of ars operon. Proteins associated with iron acquisition and metabolism were coded by 2% of the metagenome as revealed through SEED analysis. Our study reveals the microbial diversity and provides an insight into the functional aspect of the genes that might play crucial role in arsenic geocycle in contaminated ground water of Assam.

Molecular Modeling and Dynamics Simulation Analysis of KATNAL1 for Identification of Novel Inhibitor of Sperm Maturation

BACKGROUND Hormone based birth control often causes various side effects. A recent study revealed that temporary infertility without changing hormone levels can be attained by inhibiting Katanin p60 ATPase-containing subunit A-like 1 protein (KATNAL1) which is critical for sperm maturation in the testes. OBJECTIVE This study aimed at attaining the most energetically stable three dimensional (3D) structure of KATNAL1 protein using comparative modeling followed by screening of a ligand library of known natural spermicidal compounds for their binding affinity with KATNAL1. This in turn may inhibit the development of mature sperm in the seminiferous epithelium. METHOD A series of computational techniques were used for building the 3D structure of KATNAL1 which was further optimized by molecular dynamics (MD) simulation. For revealing the ATP binding mode of KATNAL1, docking study was carried out using the optimized model obtained from the MD simulation. The docking study was also employed to test the binding efficiency of the ligand library. RESULTS Molecular docking study confirmed the ATP binding of KATNAL1 with various hydrophobic and hydrogen bond interactions. Binding efficiency of the ligand library suggested that calotropin, a cardenolide of Calotropis procera showed the highest binding efficiency against the target protein without toxicity. MD simulation of the docked complex validated the results of the docking study. CONCLUSION This study revealed the ATP binding mode of KATNAL1 and identified calotropin as a potential lead molecule against it showing high binding efficiency with good bioavailability and no mutagenicity. Further in vitro and in vivo bioassay of calotropin could facilitate the development of novel non-hormonal male-specific contraceptive in near future.