{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T05:38:21Z","timestamp":1734673101722,"version":"3.32.0"},"reference-count":27,"publisher":"Scientific Scholar","content-domain":{"domain":["ijmr.org.in"],"crossmark-restriction":true},"short-container-title":["IJMR"],"abstract":"\nBackground & objectives<\/jats:title>\nGenetic analysis of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) strains circulating in India during 2020-2022 was carried out to understand the evolution of potentially expanding and divergent clades.<\/jats:p>\n<\/jats:sec>\n\nMethods<\/jats:title>\nSARS-CoV-2 sequences (n=612) randomly selected from among the sequences of samples collected through a nationwide network of Virus Research Diagnostic Laboratories during 2020 (n=1532) and Indian sequences available in Global Initiative on Sharing All Influenza Data during March 2020-March 2022 (n=53077), were analyzed using the phylo-geo haplotype network approach with reference to the Wuhan prototype sequence.<\/jats:p>\n<\/jats:sec>\n\nResults<\/jats:title>\nOn haplotype analysis, 420 haplotypes were revealed from 643 segregating sites among the sequences. Haplotype sharing was noted among the strains from different geographical regions. Nevertheless, the genetic distance among the viral haplotypes from different clades could differentiate the strains into distinct haplo groups regarding variant emergence.<\/jats:p>\n<\/jats:sec>\n\nInterpretation & conclusions<\/jats:title>\nThe haplotype analysis revealed that the G and GR clades were co-evolved and an epicentrefor the evolution of the GH, GK and GRA clades. GH was more frequently identified in northern parts of India than in other parts, whereas GK was detected less in north India than in other parts. Thus, the network analysis facilitated a detailed illustration of the pathways of evolution and circulation of SARS-CoV-2 variants.<\/jats:p>\n<\/jats:sec>","DOI":"10.25259\/ijmr_252_23","type":"journal-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T16:29:10Z","timestamp":1725899350000},"page":"689-694","update-policy":"https:\/\/doi.org\/10.25259\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Phylo-geo haplotype network-based characterization of SARS-CoV-2 strains circulating in India (2020-2022)"],"prefix":"10.25259","volume":"159","author":[{"given":"Varsha Atul","family":"Potdar","sequence":"first","affiliation":[{"name":"National Influenza Centre, ICMR-National Institute of Virology, Pune, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rongala","family":"Laxmivandana","sequence":"additional","affiliation":[{"name":"National Influenza Centre, ICMR-National Institute of Virology, Pune, 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India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nivedita","family":"Gupta","sequence":"additional","affiliation":[{"name":"Department of Communicable Diseases, Indian Council of Medical Research, New Delhi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Harmanmeet","family":"Kaur","sequence":"additional","affiliation":[{"name":"Department of Health Research, Ministry of Health & Family Welfare, Government of India, New Delhi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jitendra","family":"Narayan","sequence":"additional","affiliation":[{"name":"Department of Health Research, Ministry of Health & Family Welfare, Government of India, New Delhi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pragya D.","family":"Yadav","sequence":"additional","affiliation":[{"name":"Maximum Containment Facility, ICMR-National Institute of Virology, Pune, 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