Structural Motifs and Spatial Structures of Helicase (NS3) and RNA-dependent RNA-polymerase (NS5) of a Flavi-like Kindia tick virus (unclassified Flaviviridae)

Cover Page

Cite item

Full Text

Abstract

Introduction. Kindia tick virus (KITV) is a novel segmented unclassified flavi-like virus of the Flaviviridae family. This virus is associated with ixodes ticks and is potentially pathogenic to humans.

The main goal of this work was to search for structural motifs of viral polypeptides and to develop a 3D-structure for viral proteins of the flavi-like KITV.

Materials and methods. The complete genome sequences for KITV, Zika, dengue, Japanese encephalitis, West Nile and yellow fever viruses were retrieved from GenBank. Bioinformatics analysis was performed using the different software packages.

Results. Analysis of the KITV structural proteins showed that they have no analogues among currently known viral proteins. Spatial models of NS3 and NS5 KITV proteins have been obtained. These models had a high level of topological similarity to the tick-borne encephalitis and dengue viral proteins. The methyltransferase and RNA-dependent RNA-polymerase domains were found in the NS5 KITV. The latter was represented by fingers, palm and thumb subdomains, and motifs A-F. The helicase domain and its main structural motifs I–VI were identified in NS3 KITV. However, the protease domain typical of NS3 flaviviruses was not detected. The highly conserved amino acid motives were detected in the NS3 and NS5 KITV. Also, eight amino acid substitutions characteristic of KITV/2018/1 and KITV/2018/2 were detected, five of them being localized in alpha-helix and three in loops of nonstructural proteins.

Conclusion. Nonstructural proteins of KITV have structural and functional similarities with unsegmented flaviviruses. This confirms their possible evolutionary and taxonomic relationships.

About the authors

A. A. Gladysheva

State Scientific Center of Virology and Biotechnology «Vector»; Novosibirsk National Research State University

Email: gladysheva_aa@vector.nsc.ru
ORCID iD: 0000-0002-9490-1939

Graduate student, Assistant, Department of Molecular Virology for Flaviviruses and Viral Hepatitis

Russian Federation, 630559, Novosibirsk region, Koltsovo; 630090, Novosibirsk

A. V. Gladysheva

State Scientific Center of Virology and Biotechnology «Vector»

Author for correspondence.
Email: gladysheva_av@vector.nsc.ru
ORCID iD: 0000-0002-7396-3954
SPIN-code: 5214-3421
Scopus Author ID: 57194590629

Postgraduate student, Juniour Researcher, Department of Molecular Virology for Flaviviruses and Viral Hepatitis

Russian Federation, 630559, Novosibirsk region, Koltsovo

V. A. Ternovoi

State Scientific Center of Virology and Biotechnology «Vector»

Email: tern@vector.nsc.ru
ORCID iD: 0000-0003-1275-171X

PhD, Leading Researcher, Department of Molecular Virology for Flaviviruses and Viral Hepatitis

Russian Federation, 630559, Novosibirsk region, Koltsovo

V. B. Loktev

State Scientific Center of Virology and Biotechnology «Vector»; Novosibirsk National Research State University

Email: loktev@vector.nsc.ru
ORCID iD: 0000-0002-0229-321X

Dr. Sci. (Biol.), Professor, Head of the Department of Molecular Virology for Flaviviruses and Viral Hepatitis

Russian Federation, 630559, Novosibirsk region, Koltsovo; 630090, Novosibirsk

References

  1. Ternovoi V.A., Protopopova E.V., Shvalov A.N., Kartashov M.Yu., Bayandin R.B., Tregubchak T.V., et al. Complete coding genome sequence for a novel multicomponent Kindia tick virus detected from ticks collected in Guinea. bioRxiv. 2020. Preprint. https://doi.org/10.1101/2020.04.11.036723
  2. Qin X.C., Shi M., Tian J.H., Lin X.D., Gao D.Y., He J.R., et al. A tick-borne segmented RNA virus contains genome segments derived from unsegmented viral ancestors. Proc. Natl Acad. Sci. USA. 2014; 111(18): 6744–9. https://doi.org/10.1073/pnas.1324194111
  3. Ladner J.T., Wiley M.R., Beitzel B., Auguste A.J., Dupuis A.P., Lindquist M.E., et al. A multicomponent animal virus isolated from mosquitoes. Cell Host Microbe. 2016; 20(3): 357–67. https://doi.org/10.1016/j.chom.2016.07.011
  4. Kholodilov I.S., Litov A.G., Klimentov A.S., Belova O.A., Polienko A.E., Nikitin N.A., et al. Isolation and characterisation of Alongshan virus in Russia. Viruses. 2020; 12(4): 362. https://doi.org/10.3390/v12040362
  5. Zhang X., Wang N., Wang Z., Liu Q. The discovery of segmented flaviviruses: implications for viral emergence. Curr. Opin. Virol. 2020; 40: 11–8. https://doi.org/10.1016/j.coviro.2020.02.001
  6. Kholodilov I.S., Belova O.A., Morozkin E.S., Litov A.G., Ivannikova A.Y., Makenov M.T., et al. Geographical and tick-dependent distribution of flavi-like Alongshan and Yanggou tick viruses in Russia. Viruses. 2021; 13(3): 458. https://doi.org/10.3390/v13030458
  7. Jia N., Liu H.B., Ni X.B., Bell-Sakyi L., Zheng Y.C., Song J.L., et al. Emergence of human infection with Jingmen tick virus in China: A retrospective study. EBioMedicine. 2019; 43: 317–24. https://doi.org/10.1016/j.ebiom.2019.04.004
  8. Ternovoy V.A., Gladysheva A.V., Sementsova A.O., Zaykovskaya A.V., Volynkina A.S., Kotenev E.S., et al. Detection of the RNA for new multicomponent virus in patients with Crimean-Congo hemorrhagic fever in southern Russia. Vestnik Rossiyskoy akademii meditsinskikh nauk. 2020; 75(2): 192–34. https://doi.org/10.15690/vramn1192 (in Russian)
  9. Emmerich P., Jakupi X., von Possel R., Berisha L., Halili B., Günther S., et al. Viral metagenomics, genetic and evolutionary characteristics of Crimean-Congo hemorrhagic fever orthonairovirus in humans, Kosovo. Infect. Genet. Evol. 2018; 65: 6–11. https://doi.org/10.1016/j.meegid.2018.07.010
  10. Gao X., Zhu K., Wojdyla J.A., Chen P., Qin B., Li Z., et al. Crystal structure of the NS3-like helicase from Alongshan virus. IUCrJ. 2020; 7(Pt. 3): 375–82. https://doi.org/10.1107/S2052252520003632
  11. Robert X., Gouet P. Deciphering key features in protein structures with the new ENDscript server. Nucleic Acids Res. 2014; 42(W1): W320–4. https://doi.org/10.1093/nar/gku316
  12. Jumper J., Evans R., Pritzel A., Green T., Figurnov M., Ronneberger O., et al. Highly accurate protein structure prediction with AlphaFold. Nature. 2021; 596(7873): 583–9. https://doi.org/10.1038/s41586-021-03819-2
  13. Pettersen E.F., Goddard T.D., Huang C.C., Couch G.S., Greenblatt D.M., Meng E.C., et al. UCSF Chimera? A visualization system for exploratory research and analysis. J. Comput. Chem. 2004; 25(13): 1605–12. https://doi.org/10.1002/jcc.20084
  14. Tunyasuvunakool K., Adler J., Wu Z., Green T., Zielinski M., Žídek A., et al. Highly accurate protein structure prediction for the human proteome. Nature. 2021; 596(7873): 590–6. https://doi.org/10.1038/s41586-021-03828-1
  15. Guo J.J., Lin X.D., Chen Y.M., Hao Z.Y., Wang Z.X., Yu Z.M., et al. Diversity and circulation of Jingmen tick virus in ticks and mammals. Virus Evol. 2020; 6(2): veaa051. https://doi.org/10.1093/ve/veaa051
  16. Du Pont K.E., McCullagh M., Geiss B.J. Conserved motifs in the flavivirus NS3 RNA helicase enzyme. Wiley Interdiscip. Rev RNA. 2022; 13(2): e1688. https://doi.org/10.1002/wrna.1688
  17. Dubankova A., Boura E. Structure of the yellow fever NS5 protein reveals conserved drug targets shared among flaviviruses. Antiviral Res. 2019; 169: 104536. https://doi.org/10.1016/j.antiviral.2019.104536
  18. Duan Y., Zeng M., Jiang B., Zhang W., Wang M., Jia R., et al. Flavivirus RNA-dependent RNA polymerase interacts with genome UTRs and viral proteins to facilitate flavivirus RNA replication. Viruses. 2019; 11(10): 929. https://doi.org/10.3390/v11100929
  19. Lu G., Gong P. A structural view of the RNA-dependent RNA polymerases from the Flavivirus genus. Virus Res. 2017; 234: 34–43. https://doi.org/10.1016/j.virusres.2017.01.020
  20. Potapova U., Feranchuk S., Leonova G., Belikov S. The rearrangement of motif F in the flavivirus RNA-directed RNA polymerase. Int. J. Biol. Macromol. 2018; 108: 990–8. https://doi.org/10.1016/j.ijbiomac.2017.11.009

Supplementary files

Supplementary Files
Action
1. JATS XML
2. Fig. 1. Models of spatial organization NS5: a – imposition models of spatial structures NS5: KITV/2018/1 (blue), KITV/2018/2 (green) and dengue virus (red); b – spatial model NS5 KITV/2018/1 with conservative motives A–F; c – imposition of spatial structures NS5 KITV/2018/1 (white/blue) and KITV/2018/2 (gray/green), where detected amino acid substitutions are highlighted in color.

Download (436KB)
3. Fig. 2. Alignment of amino acid sequences NS3 (a) and NS5 (b) KITV with flaviviruses. Highly conserved amino acids are highlighted in red; highly conserved amino acids, whose functions are known for flaviviruses, are highlighted with green arrows. Sections of amino acid sequences corresponding to detected motifs are highlighted with colored lines. Elements of secondary structure of viral proteins are indicated for the KITV/2018/1 strain.

Download (3MB)

Copyright (c) 2023 Gladysheva A.A., Gladysheva A.V., Ternovoi V.A., Loktev V.B.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).