@article {47763,
	title = {High throughput sequencing based direct detection of SARS-CoV-2 fragments in wastewater of Pune, West India},
	journal = {Science of the Total Environment},
	volume = {807},
	year = {2022},
	month = {FEB },
	pages = {151038},
	type = {Article},
	abstract = {Given a large number of SARS-CoV-2 infected individuals, clinical detection has proved challenging. The wastewater-based epidemiological paradigm would cover the clinically escaped asymptomatic individuals owing to the faecal shedding of the virus. We hypothesised using wastewater as a valuable resource for analysing SARS-CoV-2 mutations circulating in the wastewater of Pune region (Maharashtra; India), one of the most affected during the covid-19 pandemic. We conducted study in open wastewater drains from December 2020- March 2021 to assess the presence of SARS-CoV-2 nucleic acid and further detect mutations using ARTIC protocol of MinION sequencing. The analysis revealed 108 mutations across six samples categorised into 39 types of mutations. We report the occurrence of mutations associated with Delta variant lineage in March-2021 samples, simultaneously also reported as a Variant of Concern (VoC) responsible for the rapid increase in infections. The study also revealed four mutations; S:N801, S:C480R, NSP14:C279F and NSP3:L550del not currently reported from wastewater or clinical data in India but reported worldwide. Further, a novel mutation NSP13:G206F mapping to NSP13 region was observed from wastewater. Notably, S:P1140del mutation was detected in December 2020 samples while it was reported in February 2021 from clinical data, indicating the instrumentality of wastewater data in early detection. This is the first study in India to demonstrate utility of sequencing in wastewater based epidemiology to identify mutations associated with SARS-CoV-2 virus fragments from wastewater as an early warning indicator system. (c) 2021 Elsevier B.V. All rights reserved.},
	keywords = {ARTIC protocol, Epidemiology, Metagenomics, Nanopore sequencing, SARS-CoV-2, wastewater},
	issn = {0048-9697},
	doi = {10.1016/j.scitotenv.2021.151038},
	author = {Dharmadhikari, Tanmay and Rajput, Vinay and Yadav, Rakeshkumar and Boargaonkar, Radhika and Patil, Dhawal and Kale, Saurabh and Kamble, Sanjay P. and Dastager, Syed G. and Dharne, Mahesh S.}
}
@article {48995,
	title = {Genomic surveillance reveals early detection and transition of delta to omicron lineages of SARS-CoV-2 variants in wastewater treatment plants of Pune, India},
	journal = {Environmental Science and Pollution Research },
	volume = {30},
	year = {2023},
	month = {DEC},
	pages = {118976-118988},
	type = {Article},
	abstract = {<p>
	The COVID-19 pandemic has emphasized the urgency for rapid public health surveillance methods to detect and monitor the transmission of infectious diseases. The wastewater-based epidemiology (WBE) has emerged as a promising tool for proactive analysis and quantification of infectious pathogens within a population before clinical cases emerge. In the present study, we aimed to assess the trend and dynamics of SARS-CoV-2 variants using a longitudinal approach. Our objective included early detection and monitoring of these variants to enhance our understanding of their prevalence and potential impact. To achieve our goals, we conducted real-time quantitative polymerase chain reaction (RT-qPCR) and Illumina sequencing on 442 wastewater (WW) samples collected from 10 sewage treatment plants (STPs) in Pune city, India, spanning from November 2021 to April 2022. Our comprehensive analysis identified 426 distinct lineages representing 17 highly transmissible variants of SARS-CoV-2. Notably, fragments of Omicron variant were detected in WW samples prior to its first clinical detection in Botswana. Furthermore, we observed highly contagious sub-lineages of the Omicron variant, including BA.1 (similar to 28\%), BA.1.X (1.0-72\%), BA.2 (1.0-18\%), BA.2.X (1.0-97.4\%) BA.2.12 (0.8-0.25\%), BA.2.38 (0.8-1.0\%), BA.2.75 (0.01-0.02\%), BA.3 (0.09-6.3\%), BA.4 (0.24-0.29\%), and XBB (0.01-21.83\%), with varying prevalence rates. Overall, the present study demonstrated the practicality of WBE in the early detection of SARS-CoV-2 variants, which could help track future outbreaks of SARS-CoV-2. Such approaches could be implicated in monitoring infectious agents before they appear in clinical cases.</p>
},
	keywords = {Bioinformatics pipeline, COVID-19, Early warning, India, Next-generation sequencing, Omicron, Public health, SARS-CoV-2, wastewater, Wastewater-based epidemiology},
	issn = {0944-1344},
	doi = {10.1007/s11356-023-30709-z},
	author = {Rajput, Vinay and Pramanik, Rinka and Malik, Vinita and Yadav, Rakeshkumar and Samson, Rachel and Kadam, Pradnya and Bhalerao, Unnati and Tupekar, Manisha and Deshpande, Dipti and Shah, Priyanki 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 Karmodiya, Krishanpal and Dharne, Mahesh}
}
