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Marqués MC, Andreu-Moreno I, Sanjuán R, Elena SF, Geller R. An efficient plasmid-based system for the recovery of recombinant vesicular stomatitis virus encoding foreign glycoproteins. Sci Rep 2024; 14:14644. [PMID: 38918479 PMCID: PMC11199562 DOI: 10.1038/s41598-024-65384-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 06/19/2024] [Indexed: 06/27/2024] Open
Abstract
Viral glycoproteins mediate entry into host cells, thereby dictating host range and pathogenesis. In addition, they constitute the principal target of neutralizing antibody responses, making them important antigens in vaccine development. Recombinant vesicular stomatitis virus (VSV) encoding foreign glycoproteins can provide a convenient and safe surrogate system to interrogate the function, evolution, and antigenicity of viral glycoproteins from viruses that are difficult to manipulate or those requiring high biosafety level containment. However, the production of recombinant VSV can be technically challenging. In this work, we present an efficient and robust plasmid-based system for the production of recombinant VSV encoding foreign glycoproteins. We validate the system using glycoproteins from different viral families, including arenaviruses, coronaviruses, and hantaviruses, as well as highlight their utility for studying the effects of mutations on viral fitness. Overall, the methods described herein can facilitate the study of both native and recombinant VSV encoding foreign glycoproteins and can serve as the basis for the production of VSV-based vaccines.
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Affiliation(s)
- María-Carmen Marqués
- Institute for Integrative Systems Biology (I2SysBio), CSIC-Universitat de València, 46980, Paterna, Valencia, Spain
| | - Iván Andreu-Moreno
- Institute for Integrative Systems Biology (I2SysBio), CSIC-Universitat de València, 46980, Paterna, Valencia, Spain
| | - Rafael Sanjuán
- Institute for Integrative Systems Biology (I2SysBio), CSIC-Universitat de València, 46980, Paterna, Valencia, Spain
| | - Santiago F Elena
- Institute for Integrative Systems Biology (I2SysBio), CSIC-Universitat de València, 46980, Paterna, Valencia, Spain
- The Santa Fe Institute, Santa Fe, NM, 87501, USA
| | - Ron Geller
- Institute for Integrative Systems Biology (I2SysBio), CSIC-Universitat de València, 46980, Paterna, Valencia, Spain.
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2
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González Aparicio LJ, López CB. Selection of nonstandard viral genomes during the evolution of RNA viruses: A virus survival strategy or a pesky inconvenience? Adv Virus Res 2024; 119:39-61. [PMID: 38897708 DOI: 10.1016/bs.aivir.2024.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
RNA viruses are some of the most successful biological entities due their ability to adapt and evolve. Despite their small genome and parasitic nature, RNA viruses have evolved many mechanisms to ensure their survival and maintenance in the host population. We propose that one of these mechanisms of survival is the generation of nonstandard viral genomes (nsVGs) that accumulate during viral replication. NsVGs are often considered to be accidental defective byproducts of the RNA virus replication, but their ubiquity and the plethora of roles they have during infection indicate that they are an integral part of the virus life cycle. Here we review the different types of nsVGs and discuss how their multiple roles during infection could be beneficial for RNA viruses to be maintained in nature. By shifting our perspectives on what makes a virus successful, we posit that nsVG generation is a conserved phenomenon that arose during RNA virus evolution as an essential component of a healthy virus community.
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Affiliation(s)
- Lavinia J González Aparicio
- Department of Molecular Microbiology and Center for Women Infectious Disease Research, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
| | - Carolina B López
- Department of Molecular Microbiology and Center for Women Infectious Disease Research, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
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3
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Wang D, Yang X, Ren Z, Hu B, Zhao H, Yang K, Shi P, Zhang Z, Feng Q, Nawenja CV, Obanda V, Robert K, Nalikka B, Waruhiu CN, Ochola GO, Onyuok SO, Ochieng H, Li B, Zhu Y, Si H, Yin J, Kristiansen K, Jin X, Xu X, Xiao M, Agwanda B, Ommeh S, Li J, Shi ZL. Substantial viral diversity in bats and rodents from East Africa: insights into evolution, recombination, and cocirculation. MICROBIOME 2024; 12:72. [PMID: 38600530 PMCID: PMC11005217 DOI: 10.1186/s40168-024-01782-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 02/26/2024] [Indexed: 04/12/2024]
Abstract
BACKGROUND Zoonotic viruses cause substantial public health and socioeconomic problems worldwide. Understanding how viruses evolve and spread within and among wildlife species is a critical step when aiming for proactive identification of viral threats to prevent future pandemics. Despite the many proposed factors influencing viral diversity, the genomic diversity and structure of viral communities in East Africa are largely unknown. RESULTS Using 38.3 Tb of metatranscriptomic data obtained via ultradeep sequencing, we screened vertebrate-associated viromes from 844 bats and 250 rodents from Kenya and Uganda collected from the wild. The 251 vertebrate-associated viral genomes of bats (212) and rodents (39) revealed the vast diversity, host-related variability, and high geographic specificity of viruses in East Africa. Among the surveyed viral families, Coronaviridae and Circoviridae showed low host specificity, high conservation of replication-associated proteins, high divergence among viral entry proteins, and frequent recombination. Despite major dispersal limitations, recurrent mutations, cocirculation, and occasional gene flow contribute to the high local diversity of viral genomes. CONCLUSIONS The present study not only shows the landscape of bat and rodent viromes in this zoonotic hotspot but also reveals genomic signatures driven by the evolution and dispersal of the viral community, laying solid groundwork for future proactive surveillance of emerging zoonotic pathogens in wildlife. Video Abstract.
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Affiliation(s)
- Daxi Wang
- BGI Research, Shenzhen, 518083, China
- Shenzhen Key Laboratory of Unknown Pathogen Identification, BGI Research, Shenzhen, 518083, China
| | - Xinglou Yang
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, China
- Hubei Jiangxia Lab, Wuhan, 430071, China
| | - Zirui Ren
- BGI Research, Shenzhen, 518083, China
- Shenzhen Key Laboratory of Unknown Pathogen Identification, BGI Research, Shenzhen, 518083, China
| | - Ben Hu
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, China
| | - Hailong Zhao
- BGI Research, Shenzhen, 518083, China
- Shenzhen Key Laboratory of Unknown Pathogen Identification, BGI Research, Shenzhen, 518083, China
| | - Kaixin Yang
- BGI Research, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
- Shenzhen Key Laboratory of Unknown Pathogen Identification, BGI Research, Shenzhen, 518083, China
| | - Peibo Shi
- BGI Research, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
- Shenzhen Key Laboratory of Unknown Pathogen Identification, BGI Research, Shenzhen, 518083, China
| | - Zhipeng Zhang
- BGI Research, Shenzhen, 518083, China
- Shenzhen Key Laboratory of Unknown Pathogen Identification, BGI Research, Shenzhen, 518083, China
| | - Qikai Feng
- BGI Research, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
- Shenzhen Key Laboratory of Unknown Pathogen Identification, BGI Research, Shenzhen, 518083, China
| | - Carol Vannesa Nawenja
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Vincent Obanda
- Veterinary Services Department, Kenya Wildlife Service, Nairobi, Kenya
| | - Kityo Robert
- Department of Zoology, Entomology and Fisheries Sciences, School of BioSciences, Makerere University, Kampala, Uganda
| | - Betty Nalikka
- Department of Zoology, Entomology and Fisheries Sciences, School of BioSciences, Makerere University, Kampala, Uganda
| | - Cecilia Njeri Waruhiu
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
| | - Griphin Ochieng Ochola
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
- Mammalogy Section, National Museums of Kenya, Nairobi, Kenya
| | - Samson Omondi Onyuok
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
- Mammalogy Section, National Museums of Kenya, Nairobi, Kenya
| | - Harold Ochieng
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
- Mammalogy Section, National Museums of Kenya, Nairobi, Kenya
| | - Bei Li
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
| | - Yan Zhu
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
| | - Haorui Si
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
| | | | - Karsten Kristiansen
- Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Xin Jin
- BGI Research, Shenzhen, 518083, China
| | - Xun Xu
- BGI Research, Shenzhen, 518083, China
| | - Minfeng Xiao
- BGI Research, Shenzhen, 518083, China.
- Shenzhen Key Laboratory of Unknown Pathogen Identification, BGI Research, Shenzhen, 518083, China.
| | - Bernard Agwanda
- Mammalogy Section, National Museums of Kenya, Nairobi, Kenya.
| | - Sheila Ommeh
- Center for Animal Science, Queensland Alliance for Agriculture & Food Innovation, The University of Queensland, St Lucia, QLD, 4072, Australia.
| | - Junhua Li
- BGI Research, Shenzhen, 518083, China.
- Shenzhen Key Laboratory of Unknown Pathogen Identification, BGI Research, Shenzhen, 518083, China.
| | - Zheng-Li Shi
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China.
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, China.
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4
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Tolentino JE, Lytras S, Ito J, Sato K. Recombination analysis on the receptor switching event of MERS-CoV and its close relatives: implications for the emergence of MERS-CoV. Virol J 2024; 21:84. [PMID: 38600521 PMCID: PMC11008012 DOI: 10.1186/s12985-024-02358-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 04/03/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND PlMERS-CoV is a coronavirus known to cause severe disease in humans, taxonomically classified under the subgenus Merbecovirus. Recent findings showed that the close relatives of MERS-CoV infecting vespertillionid bats (family Vespertillionidae), named NeoCoV and PDF-2180, use their hosts' ACE2 as their entry receptor, unlike the DPP4 receptor usage of MERS-CoV. Previous research suggests that this difference in receptor usage between these related viruses is a result of recombination. However, the precise location of the recombination breakpoints and the details of the recombination event leading to the change of receptor usage remain unclear. METHODS We used maximum likelihood-based phylogenetics and genetic similarity comparisons to characterise the evolutionary history of all complete Merbecovirus genome sequences. Recombination events were detected by multiple computational methods implemented in the recombination detection program. To verify the influence of recombination, we inferred the phylogenetic relation of the merbecovirus genomes excluding recombinant segments and that of the viruses' receptor binding domains and examined the level of congruency between the phylogenies. Finally, the geographic distribution of the genomes was inspected to identify the possible location where the recombination event occurred. RESULTS Similarity plot analysis and the recombination-partitioned phylogenetic inference showed that MERS-CoV is highly similar to NeoCoV (and PDF-2180) across its whole genome except for the spike-encoding region. This is confirmed to be due to recombination by confidently detecting a recombination event between the proximal ancestor of MERS-CoV and a currently unsampled merbecovirus clade. Notably, the upstream recombination breakpoint was detected in the N-terminal domain and the downstream breakpoint at the S2 subunit of spike, indicating that the acquired recombined fragment includes the receptor-binding domain. A tanglegram comparison further confirmed that the receptor binding domain-encoding region of MERS-CoV was acquired via recombination. Geographic mapping analysis on sampling sites suggests the possibility that the recombination event occurred in Africa. CONCLUSION Together, our results suggest that recombination can lead to receptor switching of merbecoviruses during circulation in bats. These results are useful for future epidemiological assessments and surveillance to understand the spillover risk of bat coronaviruses to the human population.
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Affiliation(s)
- Jarel Elgin Tolentino
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan
| | - Spyros Lytras
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Jumpei Ito
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
- International Research Center for Infectious Diseases, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
| | - Kei Sato
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
- Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan.
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK.
- International Vaccine Design Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
- Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
- CREST, Japan Science and Technology Agency, Kawaguchi, Japan.
- International Research Center for Infectious Diseases, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
- Collaboration Unit for Infection, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.
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5
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Sun B, Andrades Valtueña A, Kocher A, Gao S, Li C, Fu S, Zhang F, Ma P, Yang X, Qiu Y, Zhang Q, Ma J, Chen S, Xiao X, Damchaabadgar S, Li F, Kovalev A, Hu C, Chen X, Wang L, Li W, Zhou Y, Zhu H, Krause J, Herbig A, Cui Y. Origin and dispersal history of Hepatitis B virus in Eastern Eurasia. Nat Commun 2024; 15:2951. [PMID: 38580660 PMCID: PMC10997587 DOI: 10.1038/s41467-024-47358-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 03/28/2024] [Indexed: 04/07/2024] Open
Abstract
Hepatitis B virus is a globally distributed pathogen and the history of HBV infection in humans predates 10000 years. However, long-term evolutionary history of HBV in Eastern Eurasia remains elusive. We present 34 ancient HBV genomes dating between approximately 5000 to 400 years ago sourced from 17 sites across Eastern Eurasia. Ten sequences have full coverage, and only two sequences have less than 50% coverage. Our results suggest a potential origin of genotypes B and D in Eastern Asia. We observed a higher level of HBV diversity within Eastern Eurasia compared to Western Eurasia between 5000 and 3000 years ago, characterized by the presence of five different genotypes (A, B, C, D, WENBA), underscoring the significance of human migrations and interactions in the spread of HBV. Our results suggest the possibility of a transition from non-recombinant subgenotypes (B1, B5) to recombinant subgenotypes (B2 - B4). This suggests a shift in epidemiological dynamics within Eastern Eurasia over time. Here, our study elucidates the regional origins of prevalent genotypes and shifts in viral subgenotypes over centuries.
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Affiliation(s)
- Bing Sun
- School of Life Sciences, Jilin University, Changchun, 130012, China
| | - Aida Andrades Valtueña
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, 04103, Germany
| | - Arthur Kocher
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, 04103, Germany
- Transmission, Infection, Diversification and Evolution Group, Max Planck Institute for the Science of Human History, Jena, 07745, Germany
| | - Shizhu Gao
- School of Pharmaceutical Sciences, Jilin University, Changchun, 130021, China
| | - Chunxiang Li
- School of Life Sciences, Jilin University, Changchun, 130012, China
| | - Shuang Fu
- School of Life Sciences, Jilin University, Changchun, 130012, China
| | - Fan Zhang
- School of Life Sciences, Jilin University, Changchun, 130012, China
| | - Pengcheng Ma
- School of Life Sciences, Jilin University, Changchun, 130012, China
| | - Xuan Yang
- School of Life Sciences, Jilin University, Changchun, 130012, China
| | - Yulan Qiu
- School of Life Sciences, Jilin University, Changchun, 130012, China
| | - Quanchao Zhang
- School of archaeology, Jilin University, Changchun, 130021, China
| | - Jian Ma
- School of Cultural Heritage, Northwest University, Xi'an, 710069, China
| | - Shan Chen
- School of Archaeology and Museology, Liaoning University, Shenyang, 110136, China
| | - Xiaoming Xiao
- School of Archaeology and Museology, Liaoning University, Shenyang, 110136, China
| | | | - Fajun Li
- School of Sociology and Anthropology, Sun Yat-sen University, Guangzhou, 510275, China
| | - Alexey Kovalev
- Department of archaeological heritage preservation, Institute of Archaeology of Russian Academy of Sciences, Moscow, 117292, Russia
| | - Chunbai Hu
- Institute of Cultural Relics and Archaeology, Inner Mongolia Autonomous Region, Hohhot, 010010, China
| | - Xianglong Chen
- Institute of Archaeology, Chinese Academy of Social Sciences, Beijing, 100101, China
| | - Lixin Wang
- Research Center for Chinese Frontier Archaeology of Jilin University, Jilin University, Changchun, 130012, China
| | - Wenying Li
- Xinjiang Institute of Cultural Relics and Archaeology, Ürümqi, 830011, China
| | - Yawei Zhou
- School of History, Zhengzhou University, Zhengzhou, 450066, China
| | - Hong Zhu
- Research Center for Chinese Frontier Archaeology of Jilin University, Jilin University, Changchun, 130012, China
| | - Johannes Krause
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, 04103, Germany.
| | - Alexander Herbig
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, 04103, Germany.
| | - Yinqiu Cui
- School of Life Sciences, Jilin University, Changchun, 130012, China.
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6
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Srivastava M, Dukeshire MR, Mir Q, Omoru OB, Manzourolajdad A, Janga SC. Experimental and computational methods for studying the dynamics of RNA-RNA interactions in SARS-COV2 genomes. Brief Funct Genomics 2024; 23:46-54. [PMID: 36752040 PMCID: PMC10799312 DOI: 10.1093/bfgp/elac050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 10/24/2022] [Accepted: 11/11/2022] [Indexed: 02/09/2023] Open
Abstract
Long-range ribonucleic acid (RNA)-RNA interactions (RRI) are prevalent in positive-strand RNA viruses, including Beta-coronaviruses, and these take part in regulatory roles, including the regulation of sub-genomic RNA production rates. Crosslinking of interacting RNAs and short read-based deep sequencing of resulting RNA-RNA hybrids have shown that these long-range structures exist in severe acute respiratory syndrome coronavirus (SARS-CoV)-2 on both genomic and sub-genomic levels and in dynamic topologies. Furthermore, co-evolution of coronaviruses with their hosts is navigated by genetic variations made possible by its large genome, high recombination frequency and a high mutation rate. SARS-CoV-2's mutations are known to occur spontaneously during replication, and thousands of aggregate mutations have been reported since the emergence of the virus. Although many long-range RRIs have been experimentally identified using high-throughput methods for the wild-type SARS-CoV-2 strain, evolutionary trajectory of these RRIs across variants, impact of mutations on RRIs and interaction of SARS-CoV-2 RNAs with the host have been largely open questions in the field. In this review, we summarize recent computational tools and experimental methods that have been enabling the mapping of RRIs in viral genomes, with a specific focus on SARS-CoV-2. We also present available informatics resources to navigate the RRI maps and shed light on the impact of mutations on the RRI space in viral genomes. Investigating the evolution of long-range RNA interactions and that of virus-host interactions can contribute to the understanding of new and emerging variants as well as aid in developing improved RNA therapeutics critical for combating future outbreaks.
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Affiliation(s)
- Mansi Srivastava
- Department of BioHealth Informatics, School of Informatics and Computing, Indiana University Purdue University, 535 West Michigan Street, Indianapolis, Indiana 46202, USA
- Department of Biology, Indiana University, 1001 East 3 St, Bloomington, Indiana 47405, USA
| | - Matthew R Dukeshire
- Department of BioHealth Informatics, School of Informatics and Computing, Indiana University Purdue University, 535 West Michigan Street, Indianapolis, Indiana 46202, USA
| | - Quoseena Mir
- Department of BioHealth Informatics, School of Informatics and Computing, Indiana University Purdue University, 535 West Michigan Street, Indianapolis, Indiana 46202, USA
| | - Okiemute Beatrice Omoru
- Department of BioHealth Informatics, School of Informatics and Computing, Indiana University Purdue University, 535 West Michigan Street, Indianapolis, Indiana 46202, USA
| | - Amirhossein Manzourolajdad
- Department of BioHealth Informatics, School of Informatics and Computing, Indiana University Purdue University, 535 West Michigan Street, Indianapolis, Indiana 46202, USA
- Department of Computer Science, Colgate University, Hamilton, NY, USA
| | - Sarath Chandra Janga
- Department of BioHealth Informatics, School of Informatics and Computing, Indiana University Purdue University, 535 West Michigan Street, Indianapolis, Indiana 46202, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Medical Research and Library Building, 975 West Walnut Street, Indianapolis, Indiana 46202, USA
- Centre for Computational Biology and Bioinformatics, Indiana University School of Medicine, 5021 Health Information and Translational Sciences (HITS), 410 West 10th Street, Indianapolis, Indiana 46202, USA
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7
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Chen Q, Qin S, Zhou HY, Deng YQ, Shi PD, Zhao H, Li XF, Huang XY, Wu YR, Guo Y, Pei GQ, Wang YF, Sun SQ, Du ZM, Cui YJ, Fan H, Qin CF. Competitive fitness and homologous recombination of SARS-CoV-2 variants of concern. J Med Virol 2023; 95:e29278. [PMID: 38088537 DOI: 10.1002/jmv.29278] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/26/2023] [Accepted: 11/11/2023] [Indexed: 12/18/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants continue to emerge and cocirculate in humans and wild animals. The factors driving the emergence and replacement of novel variants and recombinants remain incompletely understood. Herein, we comprehensively characterized the competitive fitness of SARS-CoV-2 wild type (WT) and three variants of concern (VOCs), Alpha, Beta and Delta, by coinfection and serial passaging assays in different susceptible cells. Deep sequencing analyses revealed cell-specific competitive fitness: the Beta variant showed enhanced replication fitness during serial passage in Caco-2 cells, whereas the WT and Alpha variant showed elevated fitness in Vero E6 cells. Interestingly, a high level of neutralizing antibody sped up competition and completely reshaped the fitness advantages of different variants. More importantly, single clone purification identified a significant proportion of homologous recombinants that emerged during the passage history, and immune pressure reduced the frequency of recombination. Interestingly, a recombination hot region located between nucleotide sites 22,995 and 28,866 of the viral genomes could be identified in most of the detected recombinants. Our study not only profiled the variable competitive fitness of SARS-CoV-2 under different conditions, but also provided direct experimental evidence of homologous recombination between SARS-CoV-2 viruses, as well as a model for investigating SARS-CoV-2 recombination.
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Affiliation(s)
- Qi Chen
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Si Qin
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Hang-Yu Zhou
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yong-Qiang Deng
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Pan-Deng Shi
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Hui Zhao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Xiao-Feng Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Xing-Yao Huang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Ya-Rong Wu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Yan Guo
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Guang-Qian Pei
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Yun-Fei Wang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Si-Qi Sun
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Zong-Min Du
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Yu-Jun Cui
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Hang Fan
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Cheng-Feng Qin
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
- Research Unit of Discovery and Tracing of Natural Focus Diseases, Chinese Academy of Medical Sciences, Beijing, China
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8
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Rafique Q, Rehman A, Afghan MS, Ahmad HM, Zafar I, Fayyaz K, Ain Q, Rayan RA, Al-Aidarous KM, Rashid S, Mushtaq G, Sharma R. Reviewing methods of deep learning for diagnosing COVID-19, its variants and synergistic medicine combinations. Comput Biol Med 2023; 163:107191. [PMID: 37354819 PMCID: PMC10281043 DOI: 10.1016/j.compbiomed.2023.107191] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 05/28/2023] [Accepted: 06/19/2023] [Indexed: 06/26/2023]
Abstract
The COVID-19 pandemic has necessitated the development of reliable diagnostic methods for accurately detecting the novel coronavirus and its variants. Deep learning (DL) techniques have shown promising potential as screening tools for COVID-19 detection. In this study, we explore the realistic development of DL-driven COVID-19 detection methods and focus on the fully automatic framework using available resources, which can effectively investigate various coronavirus variants through modalities. We conducted an exploration and comparison of several diagnostic techniques that are widely used and globally validated for the detection of COVID-19. Furthermore, we explore review-based studies that provide detailed information on synergistic medicine combinations for the treatment of COVID-19. We recommend DL methods that effectively reduce time, cost, and complexity, providing valuable guidance for utilizing available synergistic combinations in clinical and research settings. This study also highlights the implication of innovative diagnostic technical and instrumental strategies, exploring public datasets, and investigating synergistic medicines using optimised DL rules. By summarizing these findings, we aim to assist future researchers in their endeavours by providing a comprehensive overview of the implication of DL techniques in COVID-19 detection and treatment. Integrating DL methods with various diagnostic approaches holds great promise in improving the accuracy and efficiency of COVID-19 diagnostics, thus contributing to effective control and management of the ongoing pandemic.
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Affiliation(s)
- Qandeel Rafique
- Department of Internal Medicine, Sahiwal Medical College, Sahiwal, 57040, Pakistan.
| | - Ali Rehman
- Department of General Medicine Govt. Eye and General Hospital Lahore, 54000, Pakistan.
| | - Muhammad Sher Afghan
- Department of Internal Medicine District Headquarter Hospital Faislaabad, 62300, Pakistan.
| | - Hafiz Muhamad Ahmad
- Department of Internal Medicine District Headquarter Hospital Bahawalnagar, 62300, Pakistan.
| | - Imran Zafar
- Department of Bioinformatics and Computational Biology, Virtual University Pakistan, 44000, Pakistan.
| | - Kompal Fayyaz
- Department of National Centre for Bioinformatics, Quaid-I-Azam University Islamabad, 45320, Pakistan.
| | - Quratul Ain
- Department of Chemistry, Government College Women University Faisalabad, 03822, Pakistan.
| | - Rehab A Rayan
- Department of Epidemiology, High Institute of Public Health, Alexandria University, 21526, Egypt.
| | - Khadija Mohammed Al-Aidarous
- Department of Computer Science, College of Science and Arts in Sharurah, Najran University, 51730, Saudi Arabia.
| | - Summya Rashid
- Department of Pharmacology & Toxicology, College of Pharmacy, Prince Sattam Bin Abdulaziz University, P.O. Box 173, Al-Kharj, 11942, Saudi Arabia.
| | - Gohar Mushtaq
- Center for Scientific Research, Faculty of Medicine, Idlib University, Idlib, Syria.
| | - Rohit Sharma
- Department of Rasashastra and Bhaishajya Kalpana, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.
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9
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Fang L, Xu J, Zhao Y, Fan J, Shen J, Liu W, Cao G. The effects of amino acid substitution of spike protein and genomic recombination on the evolution of SARS-CoV-2. Front Microbiol 2023; 14:1228128. [PMID: 37560529 PMCID: PMC10409611 DOI: 10.3389/fmicb.2023.1228128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 07/03/2023] [Indexed: 08/11/2023] Open
Abstract
Over three years' pandemic of 2019 novel coronavirus disease (COVID-19), multiple variants and novel subvariants have emerged successively, outcompeted earlier variants and become predominant. The sequential emergence of variants reflects the evolutionary process of mutation-selection-adaption of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Amino acid substitution/insertion/deletion in the spike protein causes altered viral antigenicity, transmissibility, and pathogenicity of SARS-CoV-2. Early in the pandemic, D614G mutation conferred virus with advantages over previous variants and increased transmissibility, and it also laid a conservative background for subsequent substantial mutations. The role of genomic recombination in the evolution of SARS-CoV-2 raised increasing concern with the occurrence of novel recombinants such as Deltacron, XBB.1.5, XBB.1.9.1, and XBB.1.16 in the late phase of pandemic. Co-circulation of different variants and co-infection in immunocompromised patients accelerate the emergence of recombinants. Surveillance for SARS-CoV-2 genomic variations, particularly spike protein mutation and recombination, is essential to identify ongoing changes in the viral genome and antigenic epitopes and thus leads to the development of new vaccine strategies and interventions.
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Affiliation(s)
- Letian Fang
- Key Laboratory of Biological Defense, Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Medical Bioprotection, Shanghai, China
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Jie Xu
- Department of Foreign Languages, International Exchange Center for Military Medicine, Second Military Medical University, Shanghai, China
| | - Yue Zhao
- Key Laboratory of Biological Defense, Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Medical Bioprotection, Shanghai, China
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Junyan Fan
- Key Laboratory of Biological Defense, Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Medical Bioprotection, Shanghai, China
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Jiaying Shen
- School of Medicine, Tongji University, Shanghai, China
| | - Wenbin Liu
- Key Laboratory of Biological Defense, Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Medical Bioprotection, Shanghai, China
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Guangwen Cao
- Key Laboratory of Biological Defense, Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Medical Bioprotection, Shanghai, China
- Department of Epidemiology, Second Military Medical University, Shanghai, China
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10
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Kanakala S, Xavier CAD, Martin KM, Tran HH, Redinbaugh MG, Whitfield AE. Rescue of the first alphanucleorhabdovirus entirely from cloned complementary DNA: An efficient vector for systemic expression of foreign genes in maize and insect vectors. MOLECULAR PLANT PATHOLOGY 2023; 24:788-800. [PMID: 36239302 DOI: 10.1111/mpp.13273] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 09/07/2022] [Accepted: 09/08/2022] [Indexed: 06/11/2023]
Abstract
Recent reverse genetics technologies have enabled genetic manipulation of plant negative-strand RNA virus (NSR) genomes. Here, we report construction of an infectious clone for the maize-infecting Alphanucleorhabdovirus maydis, the first efficient NSR vector for maize. The full-length infectious clone was established using agrobacterium-mediated delivery of full-length maize mosaic virus (MMV) antigenomic RNA and the viral core proteins (nucleoprotein N, phosphoprotein P, and RNA-directed RNA polymerase L) required for viral transcription and replication into Nicotiana benthamiana. Insertion of intron 2 ST-LS1 into the viral L gene increased stability of the infectious clone in Escherichia coli and Agrobacterium tumefaciens. To monitor virus infection in vivo, a green fluorescent protein (GFP) gene was inserted in between the N and P gene junctions to generate recombinant MMV-GFP. Complementary DNA (cDNA) clones of MMV-wild type (WT) and MMV-GFP replicated in single cells of agroinfiltrated N. benthamiana. Uniform systemic infection and high GFP expression were observed in maize inoculated with extracts of the infiltrated N. benthamiana leaves. Insect vectors supported virus infection when inoculated via feeding on infected maize or microinjection. Both MMV-WT and MMV-GFP were efficiently transmitted to maize by planthopper vectors. The GFP reporter gene was stable in the virus genome and expression remained high over three cycles of transmission in plants and insects. The MMV infectious clone will be a versatile tool for expression of proteins of interest in maize and cross-kingdom studies of virus replication in plant and insect hosts.
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Affiliation(s)
- Surapathrudu Kanakala
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, North Carolina, USA
| | - César A D Xavier
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, North Carolina, USA
| | - Kathleen M Martin
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, North Carolina, USA
| | - Hong Hanh Tran
- Department of Plant Pathology, The Ohio State University, Wooster, Ohio, USA
| | | | - Anna E Whitfield
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, North Carolina, USA
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11
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Focosi D, Maggi F. Second-Generation SARS-CoV-2 Recombinants: Lessons from Other Viruses. Viruses 2023; 15:v15051063. [PMID: 37243149 DOI: 10.3390/v15051063] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 04/26/2023] [Accepted: 04/26/2023] [Indexed: 05/28/2023] Open
Abstract
RNA viruses have developed notable strategies to evolve and escape host immunity [...].
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Affiliation(s)
- Daniele Focosi
- North-Western Tuscany Blood Bank, Pisa University Hospital, 56124 Pisa, Italy
| | - Fabrizio Maggi
- National Institute for Infectious Diseases "Lazzaro Spallanzani", 00149 Rome, Italy
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12
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Crespo-Bellido A, Duffy S. The how of counter-defense: viral evolution to combat host immunity. Curr Opin Microbiol 2023; 74:102320. [PMID: 37075547 DOI: 10.1016/j.mib.2023.102320] [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: 01/07/2023] [Revised: 03/10/2023] [Accepted: 03/23/2023] [Indexed: 04/21/2023]
Abstract
Viruses are locked in an evolutionary arms race with their hosts. What ultimately determines viral evolvability, or capacity for adaptive evolution, is their ability to efficiently explore and expand sequence space while under the selective regime imposed by their ecology, which includes innate and adaptive host defenses. Viral genomes have significantly higher evolutionary rates than their host counterparts and should have advantages relative to their slower-evolving hosts. However, functional constraints on virus evolutionary landscapes along with the modularity and mutational tolerance of host defense proteins may help offset the advantage conferred to viruses by high evolutionary rates. Additionally, cellular life forms from all domains of life possess many highly complex defense mechanisms that act as hurdles to viral replication. Consequently, viruses constantly probe sequence space through mutation and genetic exchange and are under pressure to optimize diverse counter-defense strategies.
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Affiliation(s)
- Alvin Crespo-Bellido
- Department of Ecology, Evolution and Natural Resources, School of Environmental and Biological Sciences, Rutgers, the State University of New Jersey, New Brunswick, NJ, USA
| | - Siobain Duffy
- Department of Ecology, Evolution and Natural Resources, School of Environmental and Biological Sciences, Rutgers, the State University of New Jersey, New Brunswick, NJ, USA.
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13
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Nigar K, Kakakhel S, Khan A, Khan H, Zaib K, Wen S. Population genetic analyses unveiled genetic stratification and differential natural selection signatures across the G-gene of viral hemorrhagic septicemia virus. Front Genet 2022; 13:982527. [PMID: 36579328 PMCID: PMC9790968 DOI: 10.3389/fgene.2022.982527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 11/28/2022] [Indexed: 12/14/2022] Open
Abstract
Introduction: Viral hemorrhagic septicemia virus (VHSV) is the most lethal pathogen in aquaculture, infecting more than 140 fish species in marine, estuarine, and freshwater environments. Viral hemorrhagic septicemia virus is an enveloped RNA virus that belongs to the family Rhabdoviridae and the genus Novirhabdovirus. The current study is designed to infer the worldwide Viral hemorrhagic septicemia virus isolates' genetic diversity and evolutionary dynamics based on G-gene sequences. Methods: The complete G-gene sequences of viral hemorrhagic septicemia virus were retrieved from the public repositories with known timing and geography details. Pairwise statistical analysis was performed using Arlequin. The Bayesian model-based approach implemented in STRUCTURE software was used to investigate the population genetic structure, and the phylogenetic tree was constructed using MEGA X and IQ-TREE. The natural selection analysis was assessed using different statistical approaches, including IFEL, MEME, and SLAC. Results and Discussion: The global Viral hemorrhagic septicemia virus samples are stratified into five genetically distinct subpopulations. The STRUCTURE analysis unveiled spatial clustering of genotype Ia into two distinct clusters at K = 3. However, at K = 5, the genotype Ia samples, deposited from Denmark, showed temporal distribution into two groups. The analyses unveiled that the genotype Ia samples stratified into subpopulations possibly based on spatiotemporal distribution. Several viral hemorrhagic septicemia virus samples are characterized as genetically admixed or recombinant. In addition, differential or subpopulation cluster-specific natural selection signatures were identified across the G-gene codon sites among the viral hemorrhagic septicemia virus isolates. Evidence of low recombination events elucidates that genetic mutations and positive selection events have possibly driven the observed genetic stratification of viral hemorrhagic septicemia virus samples.
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Affiliation(s)
- Kiran Nigar
- Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan, Pakistan
| | - Sehrish Kakakhel
- Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan, Pakistan
| | - Asifullah Khan
- Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan, Pakistan,*Correspondence: Asifullah Khan, ; Shaoqing Wen,
| | - Hizbullah Khan
- CAS Key Laboratory of Molecular Virology and Immunology, The Center for Microbes, Development and Health, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China,University of Chinese Academy of Sciences, Beijing, China
| | - Komal Zaib
- Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan, Pakistan
| | - Shaoqing Wen
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China,Institute of Archaeological Science, Fudan University, Shanghai, China,*Correspondence: Asifullah Khan, ; Shaoqing Wen,
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14
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Wang X, Zhu J, Zhang D, Liu G. Ribosomal control in RNA virus-infected cells. Front Microbiol 2022; 13:1026887. [PMID: 36419416 PMCID: PMC9677555 DOI: 10.3389/fmicb.2022.1026887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 10/19/2022] [Indexed: 11/09/2022] Open
Abstract
Viruses are strictly intracellular parasites requiring host cellular functions to complete their reproduction cycle involving virus infection of host cell, viral genome replication, viral protein translation, and virion release. Ribosomes are protein synthesis factories in cells, and viruses need to manipulate ribosomes to complete their protein synthesis. Viruses use translation initiation factors through their own RNA structures or cap structures, thereby inducing ribosomes to synthesize viral proteins. Viruses also affect ribosome production and the assembly of mature ribosomes, and regulate the recognition of mRNA by ribosomes, thereby promoting viral protein synthesis and inhibiting the synthesis of host antiviral immune proteins. Here, we review the remarkable mechanisms used by RNA viruses to regulate ribosomes, in particular, the mechanisms by which RNA viruses induce the formation of specific heterogeneous ribosomes required for viral protein translation. This review provides valuable insights into the control of viral infection and diseases from the perspective of viral protein synthesis.
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15
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Strobel HM, Stuart EC, Meyer JR. A Trait-Based Approach to Predicting Viral Host-Range Evolvability. Annu Rev Virol 2022; 9:139-156. [PMID: 36173699 DOI: 10.1146/annurev-virology-091919-092003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Predicting the evolution of virus host range has proven to be extremely difficult, in part because of the sheer diversity of viruses, each with unique biology and ecological interactions. We have not solved this problem, but to make the problem more tractable, we narrowed our focus to three traits intrinsic to all viruses that may play a role in host-range evolvability: mutation rate, recombination rate, and phenotypic heterogeneity. Although each trait should increase evolvability, they cannot do so unbounded because fitness trade-offs limit the ability of all three traits to maximize evolvability. By examining these constraints, we can begin to identify groups of viruses with suites of traits that make them especially concerning, as well as ecological and environmental conditions that might push evolution toward accelerating host-range expansion.
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Affiliation(s)
- Hannah M Strobel
- Division of Biological Sciences, University of California, San Diego, La Jolla, California, USA;
| | - Elizabeth C Stuart
- Division of Biological Sciences, University of California, San Diego, La Jolla, California, USA;
| | - Justin R Meyer
- Division of Biological Sciences, University of California, San Diego, La Jolla, California, USA;
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16
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Turakhia Y, Thornlow B, Hinrichs A, McBroome J, Ayala N, Ye C, Smith K, De Maio N, Haussler D, Lanfear R, Corbett-Detig R. Pandemic-scale phylogenomics reveals the SARS-CoV-2 recombination landscape. Nature 2022; 609:994-997. [PMID: 35952714 PMCID: PMC9519458 DOI: 10.1038/s41586-022-05189-9] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 08/03/2022] [Indexed: 11/29/2022]
Abstract
Accurate and timely detection of recombinant lineages is crucial for interpreting genetic variation, reconstructing epidemic spread, identifying selection and variants of interest, and accurately performing phylogenetic analyses1-4. During the SARS-CoV-2 pandemic, genomic data generation has exceeded the capacities of existing analysis platforms, thereby crippling real-time analysis of viral evolution5. Here, we use a new phylogenomic method to search a nearly comprehensive SARS-CoV-2 phylogeny for recombinant lineages. In a 1.6 million sample tree from May 2021, we identify 589 recombination events, which indicate that around 2.7% of sequenced SARS-CoV-2 genomes have detectable recombinant ancestry. Recombination breakpoints are inferred to occur disproportionately in the 3' portion of the genome that contains the spike protein. Our results highlight the need for timely analyses of recombination for pinpointing the emergence of recombinant lineages with the potential to increase transmissibility or virulence of the virus. We anticipate that this approach will empower comprehensive real-time tracking of viral recombination during the SARS-CoV-2 pandemic and beyond.
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Affiliation(s)
- Yatish Turakhia
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.
- Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, USA.
| | - Bryan Thornlow
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Angie Hinrichs
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Jakob McBroome
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Nicolas Ayala
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Cheng Ye
- Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, USA
| | - Kyle Smith
- Department of Biological Sciences, University of California, San Diego, San Diego, CA, USA
| | - Nicola De Maio
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, UK
| | - David Haussler
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
- Howard Hughes Medical Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Robert Lanfear
- Department of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Russell Corbett-Detig
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.
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17
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Migdałek G, Żelawski M. Measuring population-level plant gene flow with topological data analysis. ECOL INFORM 2022. [DOI: 10.1016/j.ecoinf.2022.101740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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18
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Role of the Pangolin in Origin of SARS-CoV-2: An Evolutionary Perspective. Int J Mol Sci 2022; 23:ijms23169115. [PMID: 36012377 PMCID: PMC9408936 DOI: 10.3390/ijms23169115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/10/2022] [Accepted: 08/12/2022] [Indexed: 11/30/2022] Open
Abstract
After the recent emergence of SARS-CoV-2 infection, unanswered questions remain related to its evolutionary history, path of transmission or divergence and role of recombination. There is emerging evidence on amino acid substitutions occurring in key residues of the receptor-binding domain of the spike glycoprotein in coronavirus isolates from bat and pangolins. In this article, we summarize our current knowledge on the origin of SARS-CoV-2. We also analyze the host ACE2-interacting residues of the receptor-binding domain of spike glycoprotein in SARS-CoV-2 isolates from bats, and compare it to pangolin SARS-CoV-2 isolates collected from Guangdong province (GD Pangolin-CoV) and Guangxi autonomous regions (GX Pangolin-CoV) of South China. Based on our comparative analysis, we support the view that the Guangdong Pangolins are the intermediate hosts that adapted the SARS-CoV-2 and represented a significant evolutionary link in the path of transmission of SARS-CoV-2 virus. We also discuss the role of intermediate hosts in the origin of Omicron.
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19
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Wang H, Cui X, Cai X, An T. Recombination in Positive-Strand RNA Viruses. Front Microbiol 2022; 13:870759. [PMID: 35663855 PMCID: PMC9158499 DOI: 10.3389/fmicb.2022.870759] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 04/21/2022] [Indexed: 12/28/2022] Open
Abstract
RNA recombination is a major driver of genetic shifts tightly linked to the evolution of RNA viruses. Genomic recombination contributes substantially to the emergence of new viral lineages, expansion in host tropism, adaptations to new environments, and virulence and pathogenesis. Here, we review some of the recent progress that has advanced our understanding of recombination in positive-strand RNA viruses, including recombination triggers and the mechanisms behind them. The study of RNA recombination aids in predicting the probability and outcome of viral recombination events, and in the design of viruses with reduced recombination frequency as candidates for the development of live attenuated vaccines. Surveillance of viral recombination should remain a priority in the detection of emergent viral strains, a goal that can only be accomplished by expanding our understanding of how these events are triggered and regulated.
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Affiliation(s)
| | | | | | - Tongqing An
- State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin, China
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20
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Werid GM, Ibrahim YM, Chen H, Fu L, Wang Y. Molecular Detection and Genetic Characterization of Potential Zoonotic Swine Enteric Viruses in Northern China. Pathogens 2022; 11:pathogens11040417. [PMID: 35456092 PMCID: PMC9031704 DOI: 10.3390/pathogens11040417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 03/23/2022] [Accepted: 03/25/2022] [Indexed: 12/04/2022] Open
Abstract
Despite significant economic and public health implications, swine enteric viruses that do not manifest clinical symptoms are often overlooked, and data on their epidemiology and pathogenesis are still scarce. Here, an epidemiological study was carried out by using reverse transcription-polymerase chain reaction (RT-PCR) and sequence analysis in order to better understand the distribution and genetic diversity of porcine astrovirus (PAstV), porcine encephalomyocarditis virus (EMCV), porcine kobuvirus (PKV), and porcine sapovirus (PSaV) in healthy pigs reared under specific pathogen-free (SPF) or conventional farms. PKV was the most prevalent virus (51.1%, 247/483), followed by PAstV (35.4%, 171/483), then PSaV (18.4%, 89/483), and EMCV (8.7%, 42/483). Overall, at least one viral agent was detected in 300 out of 483 samples. Out of the 300 samples, 54.0% (162/300), 13.0% (39/300), or 1.0% (3/300) were found coinfected by two, three, or four viruses, respectively. To our knowledge, this is the first report of EMCV detection from porcine fecal samples in China. Phylogenetic analysis revealed genetically diverse strains of PAstV, PKV, and PSaV circulating in conventional and SPF farms. Detection of swine enteric viruses with a high coinfection rate in healthy pigs highlights the importance of continuous viral surveillance to minimize future economic and public health risks.
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Affiliation(s)
- Gebremeskel Mamu Werid
- State Key Laboratory of Veterinary Biotechnology, National Poultry Laboratory Animal Resource Center, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin 150069, China; (G.M.W.); (Y.M.I.); (H.C.)
| | - Yassein M. Ibrahim
- State Key Laboratory of Veterinary Biotechnology, National Poultry Laboratory Animal Resource Center, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin 150069, China; (G.M.W.); (Y.M.I.); (H.C.)
| | - Hongyan Chen
- State Key Laboratory of Veterinary Biotechnology, National Poultry Laboratory Animal Resource Center, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin 150069, China; (G.M.W.); (Y.M.I.); (H.C.)
| | - Lizhi Fu
- Chongqing Academy of Animal Science, Chongqing 408599, China
- Correspondence: (L.F.); (Y.W.)
| | - Yue Wang
- State Key Laboratory of Veterinary Biotechnology, National Poultry Laboratory Animal Resource Center, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin 150069, China; (G.M.W.); (Y.M.I.); (H.C.)
- Chongqing Academy of Animal Science, Chongqing 408599, China
- College of Veterinary Medicine, Southwest University, Chongqing 400715, China
- Correspondence: (L.F.); (Y.W.)
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21
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Evolution of the SARS-CoV-2 genome and emergence of variants of concern. Arch Virol 2021; 167:293-305. [PMID: 34846601 PMCID: PMC8629736 DOI: 10.1007/s00705-021-05295-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 09/22/2021] [Indexed: 01/08/2023]
Abstract
The high transmission and mortality rates associated with SARS-CoV-2 have led to tragic consequences worldwide. Large-scale whole-genome sequencing of the SARS-CoV-2 genome since its identification in late 2019 has identified many sequence changes and the emergence of novel strains, each described by co-segregation of a particular set of sequence variations. Variants designated G, alpha (B.1.1.7), beta (B.1.351), gamma (P.1), and delta (B.1.617.2) are important lineages that emerged sequentially and are considered variants of concern. A notable feature of the last four, each of which ultimately evolved from clade G, is the large number (≥ 20) of co-segregating sequence variations associated with them. Several variations are in the spike gene, and some variations are shared among or between strains. Meanwhile, observation of recurrent infections with the same or different SARS-CoV-2 lineages has raised concerns about the duration of the immune responses induced by the initial infection or the vaccine that was administered. While the alpha strain is sensitive to immune responses induced by earlier strains, the beta, gamma, and delta strains can escape antibody neutralization. Apart from random replication errors, intra-host RNA editing, chronic infections, and recombination are processes that may promote the accumulation of sequence changes in the SARS-CoV-2 genome. The known contribution of recombination to coronavirus evolution and recent data pertaining to SARS-CoV-2 suggest that recombination may be particularly important. Continued surveillance of the SARS-CoV-2 genome is imperative.
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22
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Osiowy C, Yuen L. Editorial: Origin and Evolution of Hepatitis Viruses. Front Microbiol 2021; 12:740255. [PMID: 34512616 PMCID: PMC8424193 DOI: 10.3389/fmicb.2021.740255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 08/06/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Carla Osiowy
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB, Canada
| | - Lilly Yuen
- Victorian Infectious Diseases Reference Laboratory, Melbourne Health, Peter Doherty Institute, Melbourne, VIC, Australia
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23
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Luo R, Delaunay‐Moisan A, Timmis K, Danchin A. SARS-CoV-2 biology and variants: anticipation of viral evolution and what needs to be done. Environ Microbiol 2021; 23:2339-2363. [PMID: 33769683 PMCID: PMC8251359 DOI: 10.1111/1462-2920.15487] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 03/24/2021] [Indexed: 12/14/2022]
Abstract
The global propagation of SARS-CoV-2 and the detection of a large number of variants, some of which have replaced the original clade to become dominant, underscores the fact that the virus is actively exploring its evolutionary space. The longer high levels of viral multiplication occur - permitted by high levels of transmission -, the more the virus can adapt to the human host and find ways to success. The third wave of the COVID-19 pandemic is starting in different parts of the world, emphasizing that transmission containment measures that are being imposed are not adequate. Part of the consideration in determining containment measures is the rationale that vaccination will soon stop transmission and allow a return to normality. However, vaccines themselves represent a selection pressure for evolution of vaccine-resistant variants, so the coupling of a policy of permitting high levels of transmission/virus multiplication during vaccine roll-out with the expectation that vaccines will deal with the pandemic, is unrealistic. In the absence of effective antivirals, it is not improbable that SARS-CoV-2 infection prophylaxis will involve an annual vaccination campaign against 'dominant' viral variants, similar to influenza prophylaxis. Living with COVID-19 will be an issue of SARS-CoV-2 variants and evolution. It is therefore crucial to understand how SARS-CoV-2 evolves and what constrains its evolution, in order to anticipate the variants that will emerge. Thus far, the focus has been on the receptor-binding spike protein, but the virus is complex, encoding 26 proteins which interact with a large number of host factors, so the possibilities for evolution are manifold and not predictable a priori. However, if we are to mount the best defence against COVID-19, we must mount it against the variants, and to do this, we must have knowledge about the evolutionary possibilities of the virus. In addition to the generic cellular interactions of the virus, there are extensive polymorphisms in humans (e.g. Lewis, HLA, etc.), some distributed within most or all populations, some restricted to specific ethnic populations and these variations pose additional opportunities for/constraints on viral evolution. We now have the wherewithal - viral genome sequencing, protein structure determination/modelling, protein interaction analysis - to functionally characterize viral variants, but access to comprehensive genome data is extremely uneven. Yet, to develop an understanding of the impacts of such evolution on transmission and disease, we must link it to transmission (viral epidemiology) and disease data (patient clinical data), and the population granularities of these. In this editorial, we explore key facets of viral biology and the influence of relevant aspects of human polymorphisms, human behaviour, geography and climate and, based on this, derive a series of recommendations to monitor viral evolution and predict the types of variants that are likely to arise.
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Affiliation(s)
- Ruibang Luo
- Department of Computer ScienceThe University of Hong KongBonham RoadPokfulamHong Kong
| | - Agnès Delaunay‐Moisan
- Université Paris‐Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC)Gif‐sur‐Yvette91198France
| | - Kenneth Timmis
- Institute of MicrobiologyTechnical University of BraunschweigBraunschweigGermany
| | - Antoine Danchin
- Kodikos Labs, Institut Cochin, 24 rue du Faubourg Saint‐JacquesParis75014France
- School of Biomedical Sciences, Li Kashing Faculty of MedicineUniversity of Hong Kong21 Sassoon RoadHong Kong
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