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In this study, we have analyzed the metagenomic DNA from the pooled sediment sample of the river Ganges to explore the abundance and diversity of phages, microbial community, and antibiotic resistance genes (ARGs). Utilizing data from Illumina platform, 4,174 (∼0.0013%) reads were classified for the 285 different DNA viruses largely dominated by the group of 260 distinctive phages (3,602 reads, ∼86.3%). Among all, Microcystis (782 hits), Haemophilus (403), Synechococcus (386), Pseudomonas (279), Enterococcus (232), Bacillus (196), Rhodococcus (166), Caulobacter (163), Salmonella (146), Enterobacteria (143), Mycobacterium and (128) phages show the highest abundance and account for ∼90% of the total identified phages. In addition, we have also identified corresponding host pertaining to these phages. Mainly, Proteobacteria (∼69.3%) dominates the microbial population structure. Primarily, orders such as Caulobacterales (∼28%), Burkholderiales (∼13.9%), Actinomycetales (∼13.7%), and Pseudomonadales (∼7.5%) signify the core section. Furthermore, 21,869 (∼0.00695%) reads were classified in 20 ARG types (classes) and 240 ARGs (subtypes), among which 4 ARG types, namely multidrug resistance (12,041 reads, ∼55%), bacitracin (3,202 reads, ∼15%), macrolide-lincosamide-streptogramin (1,744 reads, ∼7.98%), and fosmidomycin (990 reads, ∼4.53%), have the highest abundance. Simultaneously, six resistance mechanisms were also recognized with the dominance of antibiotic efflux (72.8%, 15,919 reads). The results unveil the distribution of (pro)-phages; microbial community; and various ARGs in the Ganges river sediments.

An effort was made to determine the impact of geographic range on genetic richness and chemical constituents of Valeriana jatamansi Jones, an herb indigenous to the northwestern Himalaya. The genetic structure of 16 accessions from two major divisions of Uttarakhand state (Kumaon and Garhwal) was analyzed by ISSR markers. Overall genetic diversity among the populations was 45 %, with a cumulative range of 35-92 % similarity for most of the high-altitude plants and a comparatively narrow range, 50-88 %, for the population below the altitude of 1,800 m. Likewise, a remarkable predictability was evident from the chemical constituents on an individual basis. In principal component analysis, most of the accessions fall into two major groups and are classified as chemotypes based on the percentage of similar chemical constituents; these are mostly correlated to altitude. Geographic distance seems to influence the genetic and chemical variability, indicating the genetic inbreeding within the population.