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Nagasawa N, Kimura R, Akagawa M, Shirai T, Sada M, Okayama K, Sato-Fujimoto Y, Saito M, Kondo M, Katayama K, Ryo A, Kuroda M, Kimura H. Molecular Evolutionary Analyses of the Spike Protein Gene and Spike Protein in the SARS-CoV-2 Omicron Subvariants. Microorganisms 2023; 11:2336. [PMID: 37764181 PMCID: PMC10537508 DOI: 10.3390/microorganisms11092336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 09/15/2023] [Accepted: 09/16/2023] [Indexed: 09/29/2023] Open
Abstract
To better understand the evolution of the SARS-CoV-2 Omicron subvariants, we performed molecular evolutionary analyses of the spike (S) protein gene/S protein using advanced bioinformatics technologies. First, time-scaled phylogenetic analysis estimated that a common ancestor of the Wuhan, Alpha, Beta, Delta variants, and Omicron variants/subvariants diverged in May 2020. After that, a common ancestor of the Omicron variant generated various Omicron subvariants over one year. Furthermore, a chimeric virus between the BM.1.1.1 and BJ.1 subvariants, known as XBB, diverged in July 2021, leading to the emergence of the prevalent subvariants XBB.1.5 and XBB.1.16. Next, similarity plot (SimPlot) data estimated that the recombination point (breakpoint) corresponded to nucleotide position 1373. As a result, XBB.1.5 subvariants had the 5' nucleotide side from the breakpoint as a strain with a BJ.1 sequence and the 3' nucleotide side as a strain with a BM.1.1.1 sequence. Genome network data showed that Omicron subvariants were genetically linked with the common ancestors of the Wuhan and Delta variants, resulting in many amino acid mutations. Selective pressure analysis estimated that the prevalent subvariants, XBB.1.5 and XBB.1.16, had specific amino acid mutations, such as V445P, G446S, N460K, and F486P, located in the RBD when compared with the BA.4 and BA.5 subvariants. Moreover, some representative immunogenicity-associated amino acid mutations, including L452R, F486V, R493Q, and V490S, were also found in these subvariants. These substitutions were involved in the conformational epitopes, implying that these mutations affect immunogenicity and vaccine evasion. Furthermore, these mutations were identified as positive selection sites. These results suggest that the S gene/S protein Omicron subvariants rapidly evolved, and mutations observed in the conformational epitopes may reduce the effectiveness of the current vaccine, including bivalent vaccines such as mRNA vaccines containing the BA.4/BA.5 subvariants.
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Affiliation(s)
- Norika Nagasawa
- Department of Health Science, Gunma Paz University Graduate School of Health Sciences, 1-7-1, Tonya-machi, Takasaki-shi 370-0006, Gunma, Japan; (N.N.); (K.O.)
- Department of Medical Technology, Gunma Paz University School of Medical Science and Technology, 1-7-1, Tonya-machi, Takasaki-shi 370-0006, Gunma, Japan;
| | - Ryusuke Kimura
- Advanced Medical Science Research Center, Gunma Paz University Research Institute, 1338-4, Shibukawa, Shibukawa-shi 377-0008, Gunma, Japan; (R.K.); (T.S.)
- Department of Bacteriology, Gunma University Graduate School of Medicine, Maebashi-shi 371-8514, Gunma, Japan
| | - Mao Akagawa
- Department of Clinical Laboratory, Juntendo University Hospital, Bunkyo-ku, Tokyo 113-8431, Japan;
| | - Tatsuya Shirai
- Advanced Medical Science Research Center, Gunma Paz University Research Institute, 1338-4, Shibukawa, Shibukawa-shi 377-0008, Gunma, Japan; (R.K.); (T.S.)
| | - Mitsuru Sada
- Department of Respiratory Medicine, Kyourin University School of Medicine, 6-20-2, Shinkawa, Mitaka-shi 181-8611, Tokyo, Japan;
| | - Kaori Okayama
- Department of Health Science, Gunma Paz University Graduate School of Health Sciences, 1-7-1, Tonya-machi, Takasaki-shi 370-0006, Gunma, Japan; (N.N.); (K.O.)
| | - Yuka Sato-Fujimoto
- Department of Medical Technology, Gunma Paz University School of Medical Science and Technology, 1-7-1, Tonya-machi, Takasaki-shi 370-0006, Gunma, Japan;
| | - Makoto Saito
- Department of Clinical Engineering, Gunma Paz University School of Medical Science and Technology, Takasaki-shi 370-0006, Gunma, Japan; (M.S.); (M.K.)
| | - Mayumi Kondo
- Department of Clinical Engineering, Gunma Paz University School of Medical Science and Technology, Takasaki-shi 370-0006, Gunma, Japan; (M.S.); (M.K.)
| | - Kazuhiko Katayama
- Laboratory of Viral Infection Control, Ōmura Satoshi Memorial Institute, Graduate School of Infection Control Sciences, Kitasato University, 5-9-1, Shirogane, Minato-ku, Tokyo 108-8641, Japan;
| | - Akihide Ryo
- Department of Virology III, National Institute of Infectious Diseases, 4-7-1, Gakuen, Musashimurayama-shi 208-0011, Tokyo, Japan;
| | - Makoto Kuroda
- Pathogen Genomics Center, National Institute of Infectious Diseases, 1-23-1, Toyama, Shinjuku-ku, Tokyo 162-8640, Japan;
| | - Hirokazu Kimura
- Department of Health Science, Gunma Paz University Graduate School of Health Sciences, 1-7-1, Tonya-machi, Takasaki-shi 370-0006, Gunma, Japan; (N.N.); (K.O.)
- Advanced Medical Science Research Center, Gunma Paz University Research Institute, 1338-4, Shibukawa, Shibukawa-shi 377-0008, Gunma, Japan; (R.K.); (T.S.)
- Department of Clinical Engineering, Gunma Paz University School of Medical Science and Technology, Takasaki-shi 370-0006, Gunma, Japan; (M.S.); (M.K.)
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2
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Heider A, Wedde M, Dürrwald R, Wolff T, Schweiger B. Molecular characterization and evolution dynamics of influenza B viruses circulating in Germany from season 1996/1997 to 2019/2020. Virus Res 2022; 322:198926. [PMID: 36096395 DOI: 10.1016/j.virusres.2022.198926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 09/07/2022] [Accepted: 09/08/2022] [Indexed: 12/24/2022]
Abstract
Influenza B viruses are responsible for significant disease burden caused by viruses of both the Yamagata- and Victoria-lineage. Since the circulating patterns of influenza B viruses in different countries vary we investigated molecular properties and evolution dynamics of influenza B viruses circulating in Germany between 1996 and 2020. A change of the dominant lineage occurred in Germany in seven seasons in over past 25 years. A total of 676 sequences of hemagglutinin coding domain 1 (HA1) and 516 sequences of neuraminidase (NA) genes of Yamagata- and Victoria-lineage viruses were analyzed using time-scaled phylogenetic tree. Phylogenetic analysis demonstrated that Yamagata-lineage viruses are more diverse than the Victoria-lineage viruses and could be divided into nine genetic groups whereas Victoria-lineage viruses presented six genetic groups. Comparative phylogenetic analyses of both the HA and NA segments together revealed a number of inter-lineage as well as inter- and intra-clade reassortants. We identified key amino acid substitutions in major HA epitopes such as in four antigenic sites and receptor-binding sites (RBS) and in the regions close to them, with most substitutions in the 120-loop of both lineage viruses. Altogether, seventeen substitutions were fixed over time within the Yamagata-lineage with twelve of them in the antigenic sites. Thirteen substitutions were identified within the Victoria-lineage, with eleven of them in the antigenic sites. Moreover, all Victoria-lineage viruses of the 2017/2018 season were characterized by a deletion of two amino acids at the position 162-163 in the antigenic site of HA1. The viruses with triple deletion Δ162-164 were found in Germany since season 2018/2019. We highlighted the interplay between substitutions in the glycosylation sites and RBS and antigenic epitope during HA evolution. The results obtained underscore the need for continuous monitoring of circulating influenza B viruses. Early detection of strains with genetic and antigenic variation is essential to predict the circulation patterns for the following season. Such information is important for the development of optimal vaccines and strategies for prevention and control of influenza.
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Affiliation(s)
- Alla Heider
- Division of Influenza Viruses and Other Respiratory Viruses, National Reference Centre for Influenza, Robert Koch-Institute, Seestrasse 10, Berlin 13353, Germany.
| | - Marianne Wedde
- Division of Influenza Viruses and Other Respiratory Viruses, National Reference Centre for Influenza, Robert Koch-Institute, Seestrasse 10, Berlin 13353, Germany
| | - Ralf Dürrwald
- Division of Influenza Viruses and Other Respiratory Viruses, National Reference Centre for Influenza, Robert Koch-Institute, Seestrasse 10, Berlin 13353, Germany
| | - Thorsten Wolff
- Division of Influenza Viruses and Other Respiratory Viruses, National Reference Centre for Influenza, Robert Koch-Institute, Seestrasse 10, Berlin 13353, Germany
| | - Brunhilde Schweiger
- Division of Influenza Viruses and Other Respiratory Viruses, National Reference Centre for Influenza, Robert Koch-Institute, Seestrasse 10, Berlin 13353, Germany
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Yu JL, Hou S, Feng YT, Bu G, Chen QQ, Meng ZQ, Ding ZT, Guo LZ, Zhou X, Wang M, Huang XE, Li WW, He L, Gong L, Sun Y, Xu Z, Pan HF, He J, Wu JB. Emergence of a young case infected with avian influenza A (H5N6) in Anhui Province, East China during the COVID-19 pandemic. J Med Virol 2021; 93:5998-6007. [PMID: 34232513 PMCID: PMC8426836 DOI: 10.1002/jmv.27179] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 07/02/2021] [Indexed: 12/14/2022]
Abstract
In the context of the coronavirus disease 2019 pandemic, we investigated the epidemiological and clinical characteristics of a young patient infected by avian influenza A (H5N6) virus in Anhui Province, East China, and analyzed genomic features of the pathogen in 2020. Through the cross‐sectional investigation of external environment monitoring (December 29–31, 2020), 1909 samples were collected from Fuyang City. It was found that the positive rate of H5N6 was higher than other areas obviously in Tianma poultry market, where the case appeared. In addition, dual coinfections were detected with a 0.057% polymerase chain reaction positive rate the surveillance years. The virus was the clade 2.3.4.4, which was most likely formed by genetic reassortment between H5N6 and H9N2 viruses. This study found that the evolution rates of the hemagglutinin and neuraminidase genes of the virus were higher than those of common seasonal influenza viruses. The virus was still highly pathogenic to poultry and had a preference for avian receptor binding. Various avian influenza virus (AIV) subtypes naturally have caused zoonotic infections, but the subtypes H5N1 and H7N9 have caused a prominent impact. At present, the outbreak of novel coronavirus pneumonia (coronavirus disease 2019 [COVID‐19]) has caused a worldwide pandemic. To our knowledge, this is the youngest child infected with H5N6 subtype avian influenza in Anhui Province. Herein, we analyzed the epidemiology of the case and the characteristics of the pathogen genome, to find out the possible evolution of the virus.
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Affiliation(s)
- Jun-Ling Yu
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Sai Hou
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Ya-Ting Feng
- Department of Epidemiolgy and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory, Anhui Medical University, Hefei, Anhui, China
| | - Ge Bu
- Microbiological Laboratory, Fuyang City Center for Disease Control and Prevention, Fuyang, Anhui, China
| | - Qing-Qing Chen
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Zhao-Qian Meng
- Microbiological Laboratory, Fuyang City Center for Disease Control and Prevention, Fuyang, Anhui, China
| | - Zhen-Tao Ding
- Microbiological Laboratory, Fuyang City Center for Disease Control and Prevention, Fuyang, Anhui, China
| | - Liang-Zi Guo
- Microbiological Laboratory, Fuyang City Center for Disease Control and Prevention, Fuyang, Anhui, China
| | - Xue Zhou
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Meng Wang
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Xin-Er Huang
- Department of Epidemiolgy and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory, Anhui Medical University, Hefei, Anhui, China
| | - Wei-Wei Li
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Lan He
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Lei Gong
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Yong Sun
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Zhiwei Xu
- School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Hai-Feng Pan
- Department of Epidemiolgy and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Inflammation and Immune Mediated Diseases Laboratory, Anhui Medical University, Hefei, Anhui, China
| | - Jun He
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
| | - Jia-Bing Wu
- Microbiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China.,Microbiological Laboratory, Public Health Research Institute of Anhui Province, Hefei, Anhui, China
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Plant EP, Manukyan H, Laassri M, Ye Z. Insights from the comparison of genomic variants from two influenza B viruses grown in the presence of human antibodies in cell culture. PLoS One 2020; 15:e0239015. [PMID: 32925936 PMCID: PMC7489522 DOI: 10.1371/journal.pone.0239015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 08/27/2020] [Indexed: 12/25/2022] Open
Abstract
Understanding the extent and limitation of viral genome evolution can provide insight about potential drug and vaccine targets. Influenza B Viruses (IBVs) infect humans in a seasonal manner and causes significant morbidity and mortality. IBVs are negative-sense single-stranded RNA viruses with a segmented genome and can be divided into two antigenically distinct lineages. The two lineages have been circulating and further evolving for almost four decades. The immune response to IBV infection can lead to antibodies that target the strain causing the infection. Some antibodies are cross-reactive and are able to bind strains from both lineages but, because of antigenic drift and immunodominance, both lineages continue to evolve and challenge human health. Here we investigate changes in the genomes of an IBVs from each lineage after passage in tissue culture in the presence of human sera containing polyclonal antibodies directed toward antigenically and temporally distinct viruses. Our previous analysis of the fourth segment, which encodes the major surface protein HA, revealed a pattern of change in which signature sequences from one lineage mutated to the signature sequences of the other lineage. Here we analyze genes from the other genomic segments and observe that most of the quasispecies’ heterogeneity occurs at the same loci in each lineage. The nature of the variants at these loci are investigated and possible reasons for this pattern are discussed. This work expands our understanding of the extent and limitations of genomic change in IBV.
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Affiliation(s)
- Ewan P. Plant
- Office of Vaccine Research and Review, US Food and Drug Administration, Silver Spring, Maryland, United States of America
- * E-mail:
| | - Hasmik Manukyan
- Office of Vaccine Research and Review, US Food and Drug Administration, Silver Spring, Maryland, United States of America
| | - Majid Laassri
- Office of Vaccine Research and Review, US Food and Drug Administration, Silver Spring, Maryland, United States of America
| | - Zhiping Ye
- Office of Vaccine Research and Review, US Food and Drug Administration, Silver Spring, Maryland, United States of America
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