02947nas a2200241   4500008004100000022001200041245009300053210006900146260000900215300001200224490000800236520215500244653002402399653001902423653001602442653001702458653001302475100002502488700001602513700002602529700002302555856012702578       2018                        eng d  a302893300aUntapped bacterial diversity and metabolic potential within Unkeshwar hot springs, India0 aUntapped bacterial diversity and metabolic potential within Unke  cJUL   a753-7700 v2003 a<p>Hot springs support diverse and interesting groups of microorganisms adapted to extreme conditions and gaining attention in biotechnological applications. However, due to limitations of cultivation methods, a majority of such extremophiles remain uncultivated and unexplored. The advent of multiple cultivation conditions and specialized culture media could possibly aid to access the unexplored microbial portion of hot springs. In the present study, different media and isolation strategies were applied to isolate hitherto unexplored bacterial taxa in the water samples collected from Unkeshwar hot springs, India. Molecular, phylogenetic and predictive functional characterization of the isolated bacterial population was done using 16S rRNA sequencing coupled with Tax4Fun tools. Furthermore, representative isolates were screened for important enzymes (cellulase, xylanase, amylase, and protease) and heavy metal tolerance (chromium, arsenic) properties. A total of 454 bacterial isolates obtained were mapped into 57 unique bacterial genera and 4 different bacterial phyla. Interestingly, 37 genera not previously isolated from Indian hot springs, were isolated for the first time in the present study. However, most of these genera (23 out of 37) were reported only in metagenomics studies from Indian and global hot springs. Furthermore, around 14 genera not previously cultivated and not detected in metagenomics studies of hot springs are documented here. The metabolic potential was ascertained by determining the abundance of specific genes using in silico based Tax4Fun tool, which identified around 315 metabolic pathways for metabolism of carbohydrates, synthesis of secondary metabolites and degradation of xenobiotic compounds. Bioprospection study revealed that 33 and 25 bacterial genera were positive for enzyme production and resistance to the heavy metals, respectively. The present study revealed the advantages of cultivation methods using a comprehensive multiple isolation approach for exploring untapped and unique bacterial diversity, and also utilities for various biotechnological and environmental applications.</p>10aBacterial diversity10aBioprospecting10aCultivation10aHeavy metals10aUntapped1 aMehetre, Gajanan, T.1 aShah, Manan1 aDastager, Syed, Gulam1 aDharne, Mahesh, S.  uhttps://library.ncl.res.in/content/untapped-bacterial-diversity-and-metabolic-potential-within-unkeshwar-hot-springs-india02447nas a2200301   4500008004100000022001400041245017500055210006900230260000800299300001100307490000800318520142700326653002301753653000901776653002401785653002401809653001501833653000901848100002201857700002301879700001601902700001801918700002101936700002001957700001901977700001901996856013002015       2020                        eng d  a1470-160X00aMetagenome sequencing to unveil microbial community composition and prevalence of antibiotic and metal resistance genes in hypersaline and hyperalkaline Lonar Lake, India0 aMetagenome sequencing to unveil microbial community composition   cMAR  a1058270 v1103 a<p>Lonar Lake (India) is a hyperalkaline and hypersaline soda lake encompassing unique microbial composition and functions. This ecosystem has not been explored for taxonomic diversity and functional aspects (with emphasis on antibiotic and metal resistance genes) using whole metagenome sequencing for multiple years. Bacterial diversity analysis during year 2013, 2016, and 2018 depicted differences in the dominance of Proteobacteria, Firmicutes and Bacteroidetes. For archaeal diversity, a similar pattern persisted with higher abundance of Euryarchaeota. Functional metagenome analyses, indicated presence of antibiotic resistance gene (ARG) and metal resistance gene (MRG) profiles in the lake. A wider continuum of resistance genes with dominant ARG types as multidrug resistance efflux pumps and beta-lactams were also observed. The lake resistome demonstrated fluoroquinolone and acriflavine resistance genes indicating sewage water contamination in the lake. The MRGs linked with resistance to toxic metals (arsenic, cobalt, cadmium, copper, and zinc) and cation efflux protein CusA and cobalt-zinc-cadmium resistance protein revealed metal contamination. This study could be a baseline for understanding prevalence of antibiotic and metal resistance mechanisms resulting from various anthropogenic activities nearby lake, and find integrated approaches for conservation of the precious Lonar Lake ecosystem.</p>10aArchaeal diversity10aARGs10aBacterial diversity10aIllumina sequencing10aLonar lake10aMRGs1 aChakraborty, Jaya1 aSapkale, Vibhavari1 aShah, Manan1 aRajput, Vinay1 aMehetre, Gajanan1 aAgawane, Sachin1 aKamble, Sanjay1 aDharne, Mahesh  uhttps://library.ncl.res.in/content/metagenome-sequencing-unveil-microbial-community-composition-and-prevalence-antibiotic-and