Cited by 46Bacteriophages and microbial interactionsAdvanced Electron Microscopy Techniques and ApplicationsEnzyme Structure and Function

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

High-resolution reconstruction of a Jumbo-bacteriophage infecting capsulated bacteria using hyperbranched tail fibers

Open access
Ouyang, Ruochen, Costa, Ana Rita, Cassidy, C. Keith, Otwinowska, Aleksandra, Williams, Vera C. J., Latka, Agnieszka, Stansfeld, Phill J., Drulis-Kawa, Zuzanna, Briers, Yves, Pelt, Daniël M., Brouns, Stan J. J., Briegel, Ariane·2022·Nature Communications

Published version of a preprint

Abstract

The Klebsiella jumbo myophage ϕKp24 displays an unusually complex arrangement of tail fibers interacting with a host cell. In this study, we combine cryo-electron microscopy methods, protein structure prediction methods, molecular simulations, microbiological and machine learning approaches to explore the capsid, tail, and tail fibers of ϕKp24. We determine the structure of the capsid and tail at 4.1 Å and 3.0 Å resolution. We observe the tail fibers are branched and rearranged dramatically upon cell surface attachment. This complex configuration involves fourteen putative tail fibers with depolymerase activity that provide ϕKp24 with the ability to infect a broad panel of capsular polysaccharide (CPS) types of Klebsiella pneumoniae . Our study provides structural and functional insight into how ϕKp24 adapts to the variable surfaces of capsulated bacterial pathogens, which is useful for the development of phage therapy approaches against pan-drug resistant K. pneumoniae strains.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41467-022-34972-5

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 71

  1. Murray, C. J. et al. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. Lancet 399, 629–655 (2022). · DOI · Paper page
  2. Ryan, K. J. & Ray, C. G. Medical microbiology. McGraw Hill 4, 370 (2004).
  3. Ko, K. S. The contribution of capsule polysaccharide genes to virulence of Klebsiella pneumoniae. Virulence 8, 485–486 (2017). · DOI
  4. Follador, R. et al. The diversity of Klebsiella pneumoniae surface polysaccharides. Microb. Genomics 2, e000073 (2016). · DOI
  5. Pan, Y.-J. et al. Klebsiella phage ΦK64-1 encodes multiple depolymerases for multiple host capsular types. J. Virol. 91, e02457–16 (2017). · DOI
  6. Šimoliūnas, E. et al. Klebsiella phage vB_KleM-RaK2—a giant singleton virus of the family Myoviridae. PLoS One 8, e60717 (2013). · DOI
  7. Latka, A., Leiman, P. G., Drulis-Kawa, Z. & Briers, Y. Modeling the architecture of depolymerase-containing receptor binding proteins in Klebsiella phages. Front. Microbiol. 10, 2649 (2019). · DOI
  8. Hendrix, R. W. Jumbo Bacteriophages. in Lesser Known Large dsDNA Viruses 229–240 (Springer Berlin Heidelberg, Berlin, Heidelberg, 2009). · DOI
  9. Yuan, Y. & Gao, M. Jumbo bacteriophages: an overview. Front. Microbiol. 8, 403 (2017). · DOI
  10. Bonilla, B. E. et al. Genomic characterization of four novel bacteriophages infecting the clinical pathogen Klebsiella pneumoniae. (Cold Spring Harbor Laboratory, 2021). · DOI
  11. Cramer, P. AlphaFold2 and the future of structural biology. Nat. Struct. Mol. Biol. 28, 704–705 (2021). · DOI
  12. Scheres, S. H. RELION: implementation of a Bayesian approach to cryo-EM structure determination. J. Struct. Biol. 180, 519–530 (2012). · DOI · Paper page
  13. Rosenthal, P. B. & Henderson, R. Optimal determination of particle orientation, absolute hand, and contrast loss in single-particle electron cryomicroscopy. J. Mol. Biol. 333, 721–745 (2003). · DOI · Paper page
  14. Krylov, V., Dela Cruz, D., Hertveldt, K. & Ackermann, H.-W. “φKZ-like viruses”, a proposed new genus of myovirus bacteriophages. Arch. Virol. 152, 1955–1959 (2007). · DOI
  15. Effantin, G. et al. Cryo-electron microscopy three-dimensional structure of the jumbo phage ΦRSL1 infecting the phytopathogen Ralstonia solanacearum. Structure 21, 298–305 (2013). · DOI
  16. Neumann, E. et al. 3D structure of three jumbo phage heads. J. Gen. Virol. 101, 1219–1226 (2020). · DOI
  17. Suhanovsky, M. M. & Teschke, C. M. Nature׳ s favorite building block: deciphering folding and capsid assembly of proteins with the HK97-fold. Virology 479, 487–497 (2015). · DOI
  18. Duda, R. L. & Teschke, C. M. The amazing HK97 fold: versatile results of modest differences. Curr. Opin. Virol. 36, 9–16 (2019). · DOI
  19. Helgstrand, C. et al. The refined structure of a protein catenane: the HK97 bacteriophage capsid at 3.44Å resolution. J. Mol. Biol. 334, 885–899 (2003). · DOI
  20. Gan, L. et al. Capsid conformational sampling in HK97 maturation visualized by X-ray crystallography and cryo-EM. Structure 14, 1655–1665 (2006). · DOI
  21. McGreevy, R., Teo, I., Singharoy, A. & Schulten, K. Advances in the molecular dynamics flexible fitting method for cryo-EM modeling. Methods 100, 50–60 (2016). · DOI
  22. Wikoff, W. R. et al. Topologically linked protein rings in the bacteriophage HK97 capsid. Science 289, 2129–2133 (2000). · DOI
  23. Kamiya, R. et al. Acid-stable capsid structure of Helicobacter pylori bacteriophage KHP30 by single-particle cryoelectron microscopy. Structure 30, 300–312.e3 (2022). · DOI
  24. Sun, C., Gonzalez, B. & Jiang, W. Helical indexing in real space. Sci. Rep. 12, 8162 (2022). · DOI
  25. Croll, T. I. ISOLDE: a physically realistic environment for model building into low-resolution electron-density maps. Acta Crystallogr. D Struct. Biol. 74, 519–530 (2018). · DOI
  26. Goddard, T. D. et al. UCSF ChimeraX: Meeting modern challenges in visualization and analysis. Protein Sci. 27, 14–25 (2018). · DOI · Paper page
  27. Robert, X. & Gouet, P. Deciphering key features in protein structures with the new ENDscript server. Nucleic Acids Res. 42, W320–W324 (2014). · DOI · Paper page
  28. Aksyuk, A. A. et al. Structural conservation of the myoviridae phage tail sheath protein fold. Structure 19, 1885–1894 (2011). · DOI
  29. Zheng, W. et al. Refined cryo-EM structure of the T4 tail tube: exploring the lowest dose limit. Structure 25, 1436–1441.e2 (2017). · DOI
  30. Ge, P. et al. Atomic structures of a bactericidal contractile nanotube in its pre- and postcontraction states. Nat. Struct. Mol. Biol. 22, 377–382 (2015). · DOI
  31. Heymann, J. B. et al. Three-dimensional structure of the toxin-delivery particle antifeeding prophage of Serratia entomophila. J. Biol. Chem. 288, 25276–25284 (2013). · DOI
  32. Clemens, D. L., Ge, P., Lee, B.-Y., Horwitz, M. A. & Zhou, Z. H. Atomic structure of T6SS reveals interlaced array essential to function. Cell 160, 940–951 (2015). · DOI
  33. Kudryashev, M. et al. Structure of the type VI secretion system contractile sheath. Cell 160, 952–962 (2015). · DOI
  34. Maghsoodi, A., Chatterjee, A., Andricioaei, I. & Perkins, N. C. How the phage T4 injection machinery works including energetics, forces, and dynamic pathway. Proc. Natl Acad. Sci. 116, 25097–25105 (2019). · DOI
  35. Leiman, P. G. & Shneider, M. M. Contractile tail machines of bacteriophages. Adv. Exp. Med. Biol. 723, 93–114 (2012). · DOI
  36. King, J. & Mykolajewyoz, N. Bacteriophage T4 tail assembly: proteins of the sheath, core and baseplate. J. Mol. Biol. 75, 339–358 (1973). · DOI
  37. Kremer, J. R., Mastronarde, D. N. & McIntosh, J. R. Computer visualization of three-dimensional image data using IMOD. J. Struct. Biol. 116, 71–76 (1996). · DOI
  38. Altschul, S. F., Gish, W., Miller, W., Myers, E. W. & Lipman, D. J. Basic local alignment search tool. J. Mol. Biol. 215, 403–410 (1990). · DOI · Paper page
  39. Kelley, L. A., Mezulis, S., Yates, C. M., Wass, M. N. & Sternberg, M. J. The Phyre2 web portal for protein modeling, prediction and analysis. Nat. Protoc. 10, 845–858 (2015). · DOI · Paper page
  40. Weigele, P. R., Scanlon, E. & King, J. Homotrimeric, β-stranded viral adhesins and tail proteins. J. Bacteriol. 185, 4022–4030 (2003). · DOI
  41. Yan, J., Mao, J. & Xie, J. Bacteriophage polysaccharide depolymerases and biomedical applications. BioDrugs 28, 265–274 (2014). · DOI
  42. Schwarzer, D. et al. A multivalent adsorption apparatus explains the broad host range of phage phi92: a comprehensive genomic and structural analysis. J. Virol. 86, 10384–10398 (2012). · DOI
  43. Cornelissen, A. et al. The T7-related Pseudomonas putida phage φ15 displays virion-associated biofilm degradation properties. PloS One 6, e18597 (2011). · DOI
  44. Latka, A., Maciejewska, B., Majkowska-Skrobek, G., Briers, Y. & Drulis-Kawa, Z. Bacteriophage-encoded virion-associated enzymes to overcome the carbohydrate barriers during the infection process. Appl. Microbiol. Biotechnol. 101, 3103–3119 (2017). · DOI
  45. Seul, A. et al. Bacteriophage P22 tailspike: structure of the complete protein and function of the interdomain linker. Acta Crystallogr. D Biol. Crystallogr. 70, 1336–1345 (2014). · DOI
  46. Prokhorov, N. S. et al. Function of bacteriophage G7C esterase tailspike in host cell adsorption. Mol. Microbiol. 105, 385–398 (2017). · DOI
  47. Plattner, M. et al. Structure and function of the branched receptor-binding complex of bacteriophage CBA120. J. Mol. Biol. 431, 3718–3739 (2019). · DOI
  48. Zimmermann, L. et al. A completely reimplemented MPI bioinformatics toolkit with a new HHpred server at its core. J. Mol. Biol. 430, 2237–2243 (2018). · DOI · Paper page
  49. Jacques, D. A. et al. HIV-1 uses dynamic capsid pores to import nucleotides and fuel encapsidated DNA synthesis. Nature 536, 349–353 (2016). · DOI
  50. Leiman, P. G. et al. Type VI secretion apparatus and phage tail-associated protein complexes share a common evolutionary origin. Proc. Natl Acad. Sci. 106, 4154–4159 (2009). · DOI
  51. Records, A. R. The type VI secretion system: a multipurpose delivery system with a phage-like machinery. Mol. Plant Microbe Interact. 24, 751–757 (2011). · DOI
  52. Basler, M. Type VI secretion system: secretion by a contractile nanomachine. Philos. Trans. R. Soc. B: Biol. Sci. 370, 20150021 (2015). · DOI
  53. Pelt, D. M. & Sethian, J. A. A mixed-scale dense convolutional neural network for image analysis. Proc. Natl Acad. Sci. 115, 254–259 (2018). · DOI
  54. Finn, R. D., Clements, J. & Eddy, S. R. HMMER web server: interactive sequence similarity searching. Nucleic Acids Res. 39, W29–W37 (2011). · DOI · Paper page
  55. Gabler, F. et al. Protein sequence analysis using the MPI bioinformatics toolkit. Curr. Protoc. Bioinformatics 72, e108 (2020). · DOI · Paper page
  56. Mastronarde, D. N. Automated electron microscope tomography using robust prediction of specimen movements. J. Struct. Biol. 152, 36–51 (2005). · DOI
  57. Hagen, W. J., Wan, W. & Briggs, J. A. Implementation of a cryo-electron tomography tilt-scheme optimized for high resolution subtomogram averaging. J. Struct. Biol. 197, 191–198 (2017). · DOI
  58. Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. methods 9, 676–682 (2012). · DOI · Paper page
  59. Zheng, S. Q. et al. MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nat. Methods 14, 331–332 (2017). · DOI
  60. Rohou, A. & Grigorieff, N. CTFFIND4: Fast and accurate defocus estimation from electron micrographs. J. Struct. Biol. 192, 216–221 (2015). · DOI
  61. Russo, C. J. & Henderson, R. Ewald sphere correction using a single side-band image processing algorithm. Ultramicroscopy 187, 26–33 (2018). · DOI
  62. Kucukelbir, A., Sigworth, F. J. & Tagare, H. D. Quantifying the local resolution of cryo-EM density maps. Nat. Methods 11, 63–65 (2014). · DOI
  63. Singharoy, A. et al. Molecular dynamics-based refinement and validation for sub-5 Å cryo-electron microscopy maps. Elife 5, e16105 (2016). · DOI
  64. Phillips, J. C. et al. Scalable molecular dynamics with NAMD. J. Comput. Chem. 26, 1781–1802 (2005). · DOI · Paper page
  65. Huang, L. & Roux, B. Automated force field parameterization for nonpolarizable and polarizable atomic models based on ab initio target data. J. Chem. Theory Comput. 9, 3543–3556 (2013). · DOI
  66. Humphrey, W., Dalke, A. & Schulten, K. VMD: visual molecular dynamics. J. Mol. Graph. 14, 33–38 (1996). · DOI · Paper page
  67. Afonine, P. V. et al. Real-space refinement in PHENIX for cryo-EM and crystallography. Acta Crystallogr. Sect. D: Struct. Biol. 74, 531–544 (2018). · DOI
  68. Pelt, D. M., Batenburg, K. J. & Sethian, J. A. Improving tomographic reconstruction from limited data using mixed-scale dense convolutional neural networks. J. Imaging 4, 128 (2018). · DOI
  69. Segev-Zarko, L.-a. et al. Cryo-electron tomography with mixed-scale dense neural networks reveals key steps in deployment of Toxoplasma invasion machinery. PNAS Nexus 1, pgac183(2022). · DOI
  70. Kingma, D. P. & Ba, J. Adam: a method for stochastic optimization. https://arxiv.org/abs/1412.6980 (2014). · arXiv
  71. Ahrens, J., Geveci, B. & Law, C. Paraview: an end-user tool for large data visualization. The visualization handbook 717 (2005). · DOI

Metadata

Authors
Ouyang, R., Costa, A. R., Cassidy, C. K., Otwinowska, A., Williams, V. C. J., Latka, A., Stansfeld, P. J., Drulis-Kawa, Z., Briers, Y., Pelt, D. M., Brouns, S. J. J., & Briegel, A.
Affiliations
  • Leiden University (NL)
  • Delft University of Technology (NL)
  • University of Oxford (GB)
  • University of Wrocław (PL)
  • Ghent University (BE)
Corresponding author
Briegel, Ariane
Venue
Nature Communications
Published
2022-11-24
Volume
13
Issue
1
Pages
7241-7241
ISSN
2041-1723 (ISSN-L)
OpenAlex
W4310059371
Cited by
46
References
4
Citations by year
2026: 14 · 2025: 4 · 2024: 17 · 2023: 10 · 2022: 1
FWCI
4.27
Type
journal article
Language
en
Open access
Locations
  • Nature Communications (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Ghent University Academic Bibliography (Ghent University) (publishedVersion, cc-by)
  • Ghent University Academic Bibliography (Ghent University) (publishedVersion, other-oa)
  • Ghent University Academic Bibliography (Ghent University) (publishedVersion)
  • Warwick Research Archive Portal (University of Warwick) (acceptedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Leiden Repository (Leiden University) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Research Repository (Delft University of Technology) (submittedVersion, cc-by)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
Funders
  • Wellcome Trust
  • Fonds Wetenschappelijk Onderzoek
  • Nederlandse Organisatie voor Wetenschappelijk Onderzoek (184.034.014, VI.C.182.027, 016.Veni.192.235, 016.Veni)
  • Narodowym Centrum Nauki (UMO-2017/26/M/NZ1/00233, 2020/38/E/NZ8/00432)
  • China Scholarship Council (201906280465, 2017-2018)
  • Vlaamse regering
  • Medical Research Council
  • Engineering and Physical Sciences Research Council (EP/R029407/2, EP/R029407/1, 1364172)
  • Biotechnology and Biological Sciences Research Council (BB/S003339/1, BB/P01948X/1, BB/P01948X/2)
  • H2020 European Research Council (101003229)
Topics
  • Life Sciences › Immunology and Microbiology › Virology › Bacteriophages and microbial interactions
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Advanced Electron Microscopy Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
Keywords
bacteriophage structure, capsid structure, phage tail structure, capsular polysaccharide, Klebsiella pneumoniae, phage-host interactions, phage therapy, drug-resistant bacteria
MeSH terms
Bacteriophages, Capsid, Klebsiella, Klebsiella pneumoniae, Cryoelectron Microscopy, Capsid Proteins

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review