{"title":"伊朗霍尔木兹甘省SARS-CoV-2 Omicron变异的新一代测序及突变对RBD和ORF9b蛋白功能的影响","authors":"Khadijeh Ahmadi , Soudabeh Kavousipour , Behzad Shahbazi , Farhad Farzin , Zahra Gharibi , Maryam Sadat Pishva , Ali Pishahang , Hamed Gouklani","doi":"10.1016/j.meegid.2025.105812","DOIUrl":null,"url":null,"abstract":"<div><div>The emergence of the Omicron variant in November 2021 marked a significant turning point in the COVID-19 pandemic due to its unprecedented number of mutations compared to previous variants. To better understand its clinical impact and evolutionary trajectory, we conducted a comprehensive genomic epidemiology study analyzing 528 <em>SARS-CoV-2</em> samples collected in Iran between March 2021 and March 2023. Using nanopore sequencing with ≥96 % genome coverage and advanced bioinformatics tools including the Nextclade platform, we systematically characterized the mutational profiles of circulating variants with particular focus on the receptor-binding domain (RBD) and ORF9b proteins. Our analysis revealed BA.5.2 as the dominant strain (32.4 % prevalence), followed by XBB.1.9.1 (14.2 %), with only 17.6 % of cases occurring in vaccinated individuals. Through molecular docking and dynamics simulations, we demonstrated that key variants including BA.5.2, XBB.1.5, and XBB.1.9 exhibit enhanced binding affinity to host receptors, with RBD showing stronger interactions with ACE2 and ORF9b variants displaying improved binding to TOM70. Notably, our findings suggest similar pathogenic potential between the XBB.1.5/XBB.1.9 and BA.5 lineages, while highlighting the utility of whole genome entropy analysis for predicting viral evolution patterns. These results provide valuable insights for guiding vaccine development, therapeutic design, and public health strategies against evolving <em>SARS-CoV-2</em> variants.</div></div>","PeriodicalId":54986,"journal":{"name":"Infection Genetics and Evolution","volume":"134 ","pages":"Article 105812"},"PeriodicalIF":2.6000,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Next-generation sequencing of Omicron SARS-CoV-2 variants in Hormozgan Province, Iran, and evaluation of the effects of mutations on RBD and ORF9b protein function\",\"authors\":\"Khadijeh Ahmadi , Soudabeh Kavousipour , Behzad Shahbazi , Farhad Farzin , Zahra Gharibi , Maryam Sadat Pishva , Ali Pishahang , Hamed Gouklani\",\"doi\":\"10.1016/j.meegid.2025.105812\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The emergence of the Omicron variant in November 2021 marked a significant turning point in the COVID-19 pandemic due to its unprecedented number of mutations compared to previous variants. To better understand its clinical impact and evolutionary trajectory, we conducted a comprehensive genomic epidemiology study analyzing 528 <em>SARS-CoV-2</em> samples collected in Iran between March 2021 and March 2023. Using nanopore sequencing with ≥96 % genome coverage and advanced bioinformatics tools including the Nextclade platform, we systematically characterized the mutational profiles of circulating variants with particular focus on the receptor-binding domain (RBD) and ORF9b proteins. Our analysis revealed BA.5.2 as the dominant strain (32.4 % prevalence), followed by XBB.1.9.1 (14.2 %), with only 17.6 % of cases occurring in vaccinated individuals. Through molecular docking and dynamics simulations, we demonstrated that key variants including BA.5.2, XBB.1.5, and XBB.1.9 exhibit enhanced binding affinity to host receptors, with RBD showing stronger interactions with ACE2 and ORF9b variants displaying improved binding to TOM70. Notably, our findings suggest similar pathogenic potential between the XBB.1.5/XBB.1.9 and BA.5 lineages, while highlighting the utility of whole genome entropy analysis for predicting viral evolution patterns. These results provide valuable insights for guiding vaccine development, therapeutic design, and public health strategies against evolving <em>SARS-CoV-2</em> variants.</div></div>\",\"PeriodicalId\":54986,\"journal\":{\"name\":\"Infection Genetics and Evolution\",\"volume\":\"134 \",\"pages\":\"Article 105812\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Infection Genetics and Evolution\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1567134825001017\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infection Genetics and Evolution","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1567134825001017","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
Next-generation sequencing of Omicron SARS-CoV-2 variants in Hormozgan Province, Iran, and evaluation of the effects of mutations on RBD and ORF9b protein function
The emergence of the Omicron variant in November 2021 marked a significant turning point in the COVID-19 pandemic due to its unprecedented number of mutations compared to previous variants. To better understand its clinical impact and evolutionary trajectory, we conducted a comprehensive genomic epidemiology study analyzing 528 SARS-CoV-2 samples collected in Iran between March 2021 and March 2023. Using nanopore sequencing with ≥96 % genome coverage and advanced bioinformatics tools including the Nextclade platform, we systematically characterized the mutational profiles of circulating variants with particular focus on the receptor-binding domain (RBD) and ORF9b proteins. Our analysis revealed BA.5.2 as the dominant strain (32.4 % prevalence), followed by XBB.1.9.1 (14.2 %), with only 17.6 % of cases occurring in vaccinated individuals. Through molecular docking and dynamics simulations, we demonstrated that key variants including BA.5.2, XBB.1.5, and XBB.1.9 exhibit enhanced binding affinity to host receptors, with RBD showing stronger interactions with ACE2 and ORF9b variants displaying improved binding to TOM70. Notably, our findings suggest similar pathogenic potential between the XBB.1.5/XBB.1.9 and BA.5 lineages, while highlighting the utility of whole genome entropy analysis for predicting viral evolution patterns. These results provide valuable insights for guiding vaccine development, therapeutic design, and public health strategies against evolving SARS-CoV-2 variants.
期刊介绍:
(aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID)
Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance.
However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors.
Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases.
Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .