| Autor: |
Animesh K. Singh, Rezwanuzzaman Laskar, Anindita Banerjee, Rajiv Kumar Mondal, Bishal Gupta, Sonia Deb, Shreelekha Dutta, Subrata Patra, Trinath Ghosh, Sumanta Sarkar, Shekhar Ghosh, Sabyasachi Bhattacharya, Debojyoti Roy, Ankita Chakraborty, Meghna Chowdhury, Surajit Mahaptra, Antara Paul, Anup Mazumder, Aparna Chowdhury, Shiv Sekhar Chatterjee, Arunabha Sarkar, Raja Ray, Kuhu Pal, Angshuman Jana, Goutam Barik, Swagata Ganguly, Mitali Chatterjee, Dipankar Majhi, Bhaswati Bandopadhyay, Saumitra Das, Arindam Maitra, Nidhan K. Biswas |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Microbiology Spectrum, Vol 10, Iss 4 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2165-0497 |
| DOI: |
10.1128/spectrum.00914-22 |
| Popis: |
ABSTRACT 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: |
Directory of Open Access Journals |
| Externí odkaz: |
|
