Removal of nitrate-N by antibiotic exposed bacterial isolates from constructed wetlands

Nitrate-N-removing bacterial strains were isolated from a constructed wetland soil treated with three ionophoric antibiotics: monensin, salinomycin and narasin. Five isolates were selected after initial screening for nitrogen removing potential. Nucleotide sequence analysis of the 16S rRNA gene showed that these isolates were highly similar to Bacillus, and Pseudomonas species. The isolates were assessed for their ability to grow in the presence of ionophoric antibiotics. All strains were found to withstand these pharmaceuticals. In particular, Bacillus subtilis strain BRAZ2B was found to thrive in the drug-exposed wetland environment, showing higher nitrate removal rate than the uninoculated control. The strains were also assessed for nitrogen removal potential under three different C/N ratios: 4, 8 and 12; optimum removal efficiency was observed at C/N 8 for most isolates.     

Genome research in the cloud

High-throughput genome research has long been associated with bioinformatics, as it assists genome sequencing and annotation projects. Along with databases, to store, properly manage, and retrieve biological data, a large number of computational tools have been developed to decode biological information from this data. However, with the advent of next-generation sequencing (NGS) technology the sequence data starts generating at a pace never before seen. Consequently researchers are facing a threat as they are experiencing a potential shortage of storage space and tools to analyze the data. Moreover, the voluminous data increases traffic in the network by uploading and downloading large data sets, and thus consume much of the network's available bandwidth. All of these obstacles have led to the solution in the form of cloud computing.     

Anaerobic degradation of dalapon in waterlogged soil and river sediment

Anaerobic enrichment culture of flooded soil and river sediment demonstrated that 2,2-dichloropropionate can be degraded by a methanogenic route.     

Sequence analysis of UTR and coding region of kappa-casein gene of Indian riverine buffalo (Bubalus bubalis).

In this study, complete nucleotide as well as derived amino acid sequence characterization of water buffalo (Bubalus bubalis) kappa-casein gene has been presented. Kappa-casein cDNA clones were identified and isolated from a buffalo lactating mammary gland cDNA library. Sequence analysis of kappa-casein cDNA revealed 850 nucleotides with an open reading frame (ORF) of 573 nucleotides, encoding mature peptide of 169 amino acids. The 5' untranslated region (UTR) comprised 71 nucleotides, while 3' UTR was of 206 nucleotides. A total of 11 nucleotide and seven amino acid changes were observed in, buffalo (Bubalus bubalis) as compared to cattle (Bos taurus), sheep (Ovis aries) and goat (Capra hircus). Among these nucleotide changes, eight were unique in buffalo as they were fully conserved in cattle, sheep and goat. Majority of the nucleotide changes and all the amino acid changes; 14 (Asp-Glu), 19(Asp/Ser-Asn), 96(Ala-Thr), 126(Ala-Val), 128(Ala/Gly-Val), 156(Ala/Pro-Val) and 168(Ala/Glu-Val) were limited to exon IV. Three glycosylation sites, Thr 131, Thr 133 and Thr 142 reported in cattle and goat kappa-casein gene were also conserved in buffalo, however, in sheep Thr 142 was replaced by Ala. Chymosin hydrolysis site, between amino acids Phe 105 and Met 106, important for rennet coagulation process, were found to be conserved across four bovid species. Buffalo kappa-casein with the presence of amino acids Thr 136 and Ala 148 seems to be an intermediate of "A" and "B" variants of cattle. Comparison with other livestock species revealed buffalo kappa-casein sharing maximum nucleotide (95.5%) and amino acid (92.6%) similarity with cattle, whereas with pig it showed least sequence similarity of 76.0% and 53.2%, respectively. Phylogenetic analysis based on both nucleotide and amino acid sequence indicated buffalo kappa-casein grouping with cattle, while sheep and goat forming a separate cluster close to them. The non-ruminant species viz. camel, horse and pig were distantly placed, in separate lineages.     

Enterococci in river Ganga surface waters: Propensity of species distribution, dissemination of antimicrobial-resistance and virulence-markers among species along landscape

Background  

Surface waters quality has declined in developing countries due to rapid industrialization and population growth. The microbiological quality of river Ganga, a life-sustaining surface water resource for large population of northern India, is adversely affected by several point and non-point sources of pollution. Further, untreated surface waters are consumed for drinking and various household tasks in India making the public vulnerable to water-borne diseases and outbreaks. Enterococci, the 'indicator' of water quality, correlates best with the incidence of gastrointestinal diseases as well as prevalence of other pathogenic microorganisms. Therefore, this study aims to determine the distribution of species diversity, dissemination of antimicrobial-resistance and virulence-markers in enterococci with respect to rural-urban landscape along river Ganga in northern India.