@article {48127,
	title = {Metagenomic mining of Indian river confluence reveal functional microbial community with lignocelluloytic potential},
	journal = {3 Biotech},
	volume = {12},
	year = {2022},
	month = {JUN},
	pages = {132},
	type = {Article},
	abstract = {<p>
	Microbial carbohydrate-active enzymes (CAZyme) can be harnessed for valorization of Lignocellulosic biomass (LCB) to value-added chemicals/products. The two Indian Rivers Ganges and the Yamuna having different origins and flow, face accumulation of carbon-rich substrates due to the discharge of wastewater from adjoining paper and pulp industries, which could potentially contribute to the natural enrichment of LCB utilizing genes, especially at their confluence. We analyzed CAZyme diversity in metagenomic datasets across the sacred confluence of the Rivers Ganges and Yamuna. Functional annotation using CAZyme database identified a total of 77,815 putative genes with functional domains involved in the catalysis of carbohydrate degradation or synthesis of glycosidic bonds. The metagenomic analysis detected similar to 41\% CAZymes catalyzing the hydrolysis of lignocellulosic biomass polymers- cellulose, hemicellulose, lignin, and pectin. The Beta diversity analysis suggested higher CAZyme diversity at downstream region of the river confluence, which could be useful niche for culture-based studies. Taxonomic origin for CAZymes revealed the predominance of bacteria (97\%), followed by archaea (1.67\%), Eukaryota (0.63\%), and viruses (0.7\%). Metagenome guided CAZyme diversity of the microflora spanning across the confluence of Ganges-Yamuna River, could be harnessed for biomass and bioenergy applications.</p>
},
	keywords = {CAZymes, Confluence (Sangam), Lignocellulosic, River Ganges, River Yamuna},
	issn = {2190-572X},
	doi = {10.1007/s13205-022-03190-7},
	author = {Rajput, Vinay and Samson, Rachel and Yadav, Rakeshkumar and Dastager, Syed and Khairnar, Krishna and Dharne, Mahesh}
}
@article {49583,
	title = {Monitoring influenza A (H1N1, H3N2), RSV, and SARS-CoV-2 using wastewater-based epidemiology: A 2-year longitudinal study in an Indian megacity covering omicron and post-omicron phases},
	journal = {Food and Environmental Virology},
	volume = {17},
	year = {2025},
	month = {MAR},
	pages = {3},
	type = {Article},
	abstract = {<p>
	{The bourgeoning field of wastewater-based epidemiology (WBE) for the surveillance of several respiratory viruses which includes Influenza A, H1N1pdm09, H3N2, respiratory syncytial viruses (RSV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is of interest for public health concerns. However, there are few long-term monitoring studies globally. In this study, respiratory viruses were detected and quantified from 11 sewer sheds by utilizing reverse transcription-quantitative polymerase chain reaction analysis in Pune city, India, from Jan 2022 to Dec 2023. The RNA fragments of respiratory viruses were detected in sewage samples before clinical cases were reported, underscoring the potential of WBE for early detection and monitoring within the population. The Spearman correlation of wastewater viral copies was positively and significantly correlated with the clinically positive case of H1N1pdm09 (rho = 0.55</p>
},
	keywords = {Influenza A, Quantitative reverse transcription-PCR, Respiratory viruses, SARS-CoV-2, Wastewater-based epidemiology},
	issn = {1867-0334},
	doi = {10.1007/s12560-024-09618-y},
	author = {Pramanik, Rinka and Nannaware, Kiran and Malik, Vinita and Shah, Priyanki and Sangewar, Poornima and Gogate, Niharika and Shashidhara, L. S. and Boargaonkar, Radhika and Patil, Dhawal and Kale, Saurabh and Bhalerao, Asim and Jain, Nidhi and Kamble, Sanjay and Dastager, Syed and Dharne, Mahesh}
}
