Phylogenetic analysis of two species of snake Eryx colubrinus loveridgei and Ptyas mucosus was investigated using the gene encoding cytochrome b. The nucleotide sequences of complete and partial mtDNA cytochrome b were determined in numerous specimens. Sequence divergence between species and genera was evenly distributed in the cytochrome b gene but rather high compared to reports for other fish species. Phylogenetic analyses on complete cytochrome b were used to study the relationships among the considered species. The molecular phylogeny of sample was determined by analyzing cytochrome b gene sequences. On the basis of position of sequence of the given python sample in the phylogenetic tree, the sample showed closest similarity with Eryx colubrinus loveridgei and Ptyas mucosus.

This research is carried out to study the bacteriological biodiversity and quality of water during premonsoon, monsoon and post-monsoon in Panvel lakes, Maharashtra, India. Most Probable Number (MPN) count was carried out by using Mac Conkey’s broth in order to classify the lakes into different categories. Pathogenic bacteria colonies were isolated from water samples collected from different lakes, by spread plate method. After incubation, different colonies from incubated plates were picked; purified by repeated sub-culturing before being examined for gram reaction, microscopically bacteria were identified into positive or negative, cocci or bacilli, rod or spiral. Biochemical analysis was carried out using different tests. The results were analyzed using Bergey’s manual of systematic bacteriology. Many different types of bacteria were isolated from water samples that helped in classifying the lakes and knowing the bacterial loads of each lake.

Water is a must for all living things. Reservoir and lake water is used for a variety of purposes, including drinking water, agricultural, commercial, recreational, and aquaculture. However, due to rising population pressures, which has resulted in rapid urbanization, industrialization, and modern agricultural practices, water pollution has become a major issue in recent years. The water quality index is a single number that reflects overall water quality at a specific place and time. To compute, water quality index (WQI) we used Temperature, pH, Dissolved Oxygen (DO), Biochemical Oxygen Demand (B.O.D), Chemical Oxygen Demand (C.O.D), Alkalinity, Electrical Conductivity, Turbidity, and Chemical Oxygen Demand (C.O.D), Nitrite-Nitrogen, Nitrate-Nitrogen and Hardness were the physico-chemical parameters investigated in this study. The water quality index is to transform complicated water quality data into information that the general public can use. The Water Quality Index was calculated using the Weighted Arithmetic Water Quality Index (WQI). The measured WQI was then used to assess the water quality in Rabale water body. The water quality index (WQI) of the lake was 49.813, 53.483, and 53.045 during the pre-monsoon, monsoon, and post-monsoon periods, respectively. When comparing seasonal variations, WQI values show that water status is fairly good during the pre-monsoon but is low during the monsoon and postmonsoon seasons, thus water from Rabale water body may be used for a variety of industrial purposes.