O. N. Turnip, Chairunnisa Fadhi̇llah, Anwar Rovik, Ayu Rahayu
{"title":"SARS-CoV-2大流行早期在东南亚传播的流行病学特征及系统发育","authors":"O. N. Turnip, Chairunnisa Fadhi̇llah, Anwar Rovik, Ayu Rahayu","doi":"10.5799/jmid.1218631","DOIUrl":null,"url":null,"abstract":"Objectives: This study aims to understand the epidemiological and level of genetic similarity in the SARS-CoV-2 from different geographical areas in The Southeast Asia Region during an early pandemic. \nMethods: The data on COVID-19 cases in Southeast Asia was collected from https://worldometer.info/ and extracted independently. Complete genome SARS-CoV-2 nucleotide sequence data was obtained from GISAID and NCBI online platforms. The sequences were aligned using MEGA X software and identified RdRp and Spike genes using UGENE software. The phylogenetic was constructed using MEGA X software to know the similarity of these genes among isolates in the Southeast Asia region. \nResults: The result showed that the first case in Southeast Asia was reported in January 2020. The highest number of COVID-19 cases and death were reported from populous and suffering countries. The phylogenetic results showed an identical solid (100%) among isolates, except for the Philippines-5 isolate. The Wuhan-Hu-1 (China) SARS-CoV-2 isolate (Acc. NC_045512) was transmitted to other countries in Southeast Asia regions with various mutations in the spike protein. \nConclusion: During the early pandemic, all countries in the Southeast Asia regions reported COVID-19 cases. Indonesia became the country with the highest number of COVID-19 cases and deaths. The level of similarity of the RdRp gene in the SARS-CoV-2 in Southeast Asia is higher than the Spike genes. J Microbiol Infect Dis 2022; 12(4):139-148.","PeriodicalId":16603,"journal":{"name":"Journal of Microbiology and Infectious Diseases","volume":"102 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Epidemiological Features and Phylogeny of SARS-CoV-2 Circulating in the Southeast Asia in Early Pandemic\",\"authors\":\"O. N. Turnip, Chairunnisa Fadhi̇llah, Anwar Rovik, Ayu Rahayu\",\"doi\":\"10.5799/jmid.1218631\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objectives: This study aims to understand the epidemiological and level of genetic similarity in the SARS-CoV-2 from different geographical areas in The Southeast Asia Region during an early pandemic. \\nMethods: The data on COVID-19 cases in Southeast Asia was collected from https://worldometer.info/ and extracted independently. Complete genome SARS-CoV-2 nucleotide sequence data was obtained from GISAID and NCBI online platforms. The sequences were aligned using MEGA X software and identified RdRp and Spike genes using UGENE software. The phylogenetic was constructed using MEGA X software to know the similarity of these genes among isolates in the Southeast Asia region. \\nResults: The result showed that the first case in Southeast Asia was reported in January 2020. The highest number of COVID-19 cases and death were reported from populous and suffering countries. The phylogenetic results showed an identical solid (100%) among isolates, except for the Philippines-5 isolate. The Wuhan-Hu-1 (China) SARS-CoV-2 isolate (Acc. NC_045512) was transmitted to other countries in Southeast Asia regions with various mutations in the spike protein. \\nConclusion: During the early pandemic, all countries in the Southeast Asia regions reported COVID-19 cases. Indonesia became the country with the highest number of COVID-19 cases and deaths. The level of similarity of the RdRp gene in the SARS-CoV-2 in Southeast Asia is higher than the Spike genes. J Microbiol Infect Dis 2022; 12(4):139-148.\",\"PeriodicalId\":16603,\"journal\":{\"name\":\"Journal of Microbiology and Infectious Diseases\",\"volume\":\"102 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Microbiology and Infectious Diseases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5799/jmid.1218631\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Microbiology and Infectious Diseases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5799/jmid.1218631","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Epidemiological Features and Phylogeny of SARS-CoV-2 Circulating in the Southeast Asia in Early Pandemic
Objectives: This study aims to understand the epidemiological and level of genetic similarity in the SARS-CoV-2 from different geographical areas in The Southeast Asia Region during an early pandemic.
Methods: The data on COVID-19 cases in Southeast Asia was collected from https://worldometer.info/ and extracted independently. Complete genome SARS-CoV-2 nucleotide sequence data was obtained from GISAID and NCBI online platforms. The sequences were aligned using MEGA X software and identified RdRp and Spike genes using UGENE software. The phylogenetic was constructed using MEGA X software to know the similarity of these genes among isolates in the Southeast Asia region.
Results: The result showed that the first case in Southeast Asia was reported in January 2020. The highest number of COVID-19 cases and death were reported from populous and suffering countries. The phylogenetic results showed an identical solid (100%) among isolates, except for the Philippines-5 isolate. The Wuhan-Hu-1 (China) SARS-CoV-2 isolate (Acc. NC_045512) was transmitted to other countries in Southeast Asia regions with various mutations in the spike protein.
Conclusion: During the early pandemic, all countries in the Southeast Asia regions reported COVID-19 cases. Indonesia became the country with the highest number of COVID-19 cases and deaths. The level of similarity of the RdRp gene in the SARS-CoV-2 in Southeast Asia is higher than the Spike genes. J Microbiol Infect Dis 2022; 12(4):139-148.