Contrasting Distribution of SARS-CoV-2 Lineages across Multiple Rounds of Pandemic Waves in West Bengal, the Gateway of East and North-East States of India.

Autor:	Singh AK; National Institute of Biomedical Genomicsgrid.410872.8, Kalyani, West Bengal, India., Laskar R; National Institute of Biomedical Genomicsgrid.410872.8, Kalyani, West Bengal, India., Banerjee A; National Institute of Biomedical Genomicsgrid.410872.8, Kalyani, West Bengal, India., Mondal RK; National Institute of Biomedical Genomicsgrid.410872.8, Kalyani, West Bengal, India., Gupta B; School of Tropical Medicine, Kolkata, West Bengal, India., Deb S; School of Tropical Medicine, Kolkata, West Bengal, India., Dutta S; National Institute of Biomedical Genomicsgrid.410872.8, Kalyani, West Bengal, India., Patra S; National Institute of Biomedical Genomicsgrid.410872.8, Kalyani, West Bengal, India., Ghosh T; National Institute of Biomedical Genomicsgrid.410872.8, Kalyani, West Bengal, India., Sarkar S; National Institute of Biomedical Genomicsgrid.410872.8, Kalyani, West Bengal, India., Ghosh S; National Institute of Biomedical Genomicsgrid.410872.8, Kalyani, West Bengal, India., Bhattacharya S; National Institute of Biomedical Genomicsgrid.410872.8, Kalyani, West Bengal, India., Roy D; National Institute of Biomedical Genomicsgrid.410872.8, Kalyani, West Bengal, India., Chakraborty A; National Institute of Biomedical Genomicsgrid.410872.8, Kalyani, West Bengal, India., Chowdhury M; National Institute of Biomedical Genomicsgrid.410872.8, Kalyani, West Bengal, India., Mahaptra S; National Institute of Biomedical Genomicsgrid.410872.8, Kalyani, West Bengal, India., Paul A; National Institute of Biomedical Genomicsgrid.410872.8, Kalyani, West Bengal, India., Mazumder A; National Institute of Biomedical Genomicsgrid.410872.8, Kalyani, West Bengal, India., Chowdhury A; School of Tropical Medicine, Kolkata, West Bengal, India., Chatterjee SS; Diamond Harbour Medical College, Diamond Harbour, West Bengal, India., Sarkar A; North Bengal Medical College, Siliguri, West Bengal, India., Ray R; Institute of Post-Graduate Medical Education and Research, Kolkata, West Bengal, India., Pal K; College of Medicine and JNM Hospital, Kalyani, West Bengal, India., Jana A; Bankura Sammilani Medical College, Bankura, West Bengal, India., Barik G; Medical College and Hospital, Kolkata, West Bengal, India., Ganguly S; Nil Ratan Sircar Medical College and Hospital, Kolkata, West Bengal, India., Chatterjee M; R.G. Kar Medical College and Hospital, Kolkata, West Bengal, India., Majhi D; Department of Health and Family Welfare, Government of West Bengal, Kolkata, West Bengal, India., Bandopadhyay B; School of Tropical Medicine, Kolkata, West Bengal, India., Das S; National Institute of Biomedical Genomicsgrid.410872.8, Kalyani, West Bengal, India., Maitra A; National Institute of Biomedical Genomicsgrid.410872.8, Kalyani, West Bengal, India., Biswas NK; National Institute of Biomedical Genomicsgrid.410872.8, Kalyani, West Bengal, India.
Jazyk:	angličtina
Zdroj:	Microbiology spectrum [Microbiol Spectr] 2022 Aug 31; Vol. 10 (4), pp. e0091422. Date of Electronic Publication: 2022 Jul 19.
DOI:	10.1128/spectrum.00914-22
Abstrakt:	The evolution of viral variants and their impact on viral transmission have been an area of considerable importance in this pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We analyzed the viral variants in different phases of the pandemic in West Bengal, a state in India that is important geographically, and compared the variants with other states like Delhi, Maharashtra, and Karnataka, located in other regions of the country. We have identified 57 pango-lineages in 3,198 SARS-CoV-2 genomes, alteration in their distribution, as well as contrasting profiles of amino acid mutational dynamics across different waves in different states. The evolving characteristics of Delta (B.1.617.2) sublineages and alterations in hydrophobicity profiles of the viral proteins caused by these mutations were also studied. Additionally, implications of predictive host miRNA binding/unbinding to emerging spike or nucleocapsid mutations were highlighted. Our results throw considerable light on interesting aspects of the viral genomic variation and provide valuable information for improved understanding of wave-defining mutations in unfolding the pandemic. IMPORTANCE Multiple waves of infection were observed in many states in India during the coronavirus disease 2019 (COVID19) pandemic. Fine-scale evolution of major SARS-CoV-2 lineages and sublineages during four wave-window categories: Pre-Wave 1, Wave 1, Pre-Wave 2, and Wave 2 in four major states of India: Delhi (North), Maharashtra (West), Karnataka (South), and West Bengal (East) was studied using large-scale virus genome sequencing data. Our comprehensive analysis reveals contrasting molecular profiles of the wave-defining mutations and their implications in host miRNA binding/unbinding of the lineages in the major states of India.
Databáze:	MEDLINE
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