Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

A dual-constriction biological nanopore resolves homonucleotide sequences with high fidelity

Abstract

Single-molecule long-read DNA sequencing with biological nanopores is fast and high-throughput but suffers reduced accuracy in homonucleotide stretches. We now combine the CsgG nanopore with the 35-residue N-terminal region of its extracellular interaction partner CsgF to produce a dual-constriction pore with improved signal and base-calling accuracy for homopolymer regions. The electron cryo-microscopy structure of CsgG in complex with full-length CsgF shows that the 33 N-terminal residues of CsgF bind inside the β-barrel of the pore, forming a defined second constriction. In complexes of CsgG bound to a 35-residue CsgF constriction peptide, the second constriction is separated from the primary constriction by ~25 Å. We find that both constrictions contribute to electrical signal modulation during single-stranded DNA translocation. DNA sequencing using a prototype CsgG–CsgF protein pore with two constrictions improved single-read accuracy by 25 to 70% in homopolymers up to 9 nucleotides long.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: CsgG forms a stable complex with CsgF.
Fig. 2: CsgG–CsgF cryo-EM structure reveals a dual-constriction pore.
Fig. 3: The CsgF constriction peptide creates a second constriction in the CsgG pore.
Fig. 4: Homopolymer base calling by a prototype CsgG–FCP nanopore.

Similar content being viewed by others

Data availability

Coordinates and the electron potential maps for the CsgG–CsgF cryo-EM structure have been deposited in the PDB and EMDB under accession codes 6SI7 and EMD-10206, respectively. R9 pores are proprietary mutants of E. coli CsgG developed by ONT and are available as membrane-embedded single pores incorporated in Flongle, MinION, GridION and PromethION flow cells.

Code availability

The ONT software packages MinKNOW and Guppy are available through https://community.nanoporetech.com/downloads, and medaka is available through https://github.com/nanoporetech/medaka.

References

  1. Bayley, H. & Cremer, P. S. Stochastic sensors inspired by biology. Nature 413, 226–230 (2001).

    Article  CAS  Google Scholar 

  2. Howorka, S., Cheley, S. & Bayley, H. Sequence-specific detection of individual DNA strands using engineered nanopores. Nat. Biotechnol. 19, 636–639 (2001).

    Article  CAS  Google Scholar 

  3. Meller, A., Nivon, L., Brandin, E., Golovchenko, J. & Branton, D. Rapid nanopore discrimination between single polynucleotide molecules. Proc. Natl Acad. Sci. USA 97, 1079–1084 (2000).

    Article  CAS  Google Scholar 

  4. Akeson, M., Branton, D., Kasianowicz, J. J., Brandin, E. & Deamer, D. W. Microsecond time-scale discrimination among polycytidylic acid, polyadenylic acid, and polyuridylic acid as homopolymers or as segments within single RNA molecules. Biophys. J. 77, 3227–3233 (1999).

    Article  CAS  Google Scholar 

  5. Benner, S. et al. Sequence-specific detection of individual DNA polymerase complexes in real time using a nanopore. Nat. Nanotechnol. 2, 718–724 (2007).

    Article  CAS  Google Scholar 

  6. Olasagasti, F. et al. Replication of individual DNA molecules under electronic control using a protein nanopore. Nat. Nanotechnol. 5, 798–806 (2010).

    Article  CAS  Google Scholar 

  7. Wang, S., Zhao, Z., Haque, F. & Guo, P. Engineering of protein nanopores for sequencing, chemical or protein sensing and disease diagnosis. Curr. Opin. Biotechnol. 51, 80–89 (2018).

    Article  CAS  Google Scholar 

  8. Kasianowicz, J. J., Brandin, E., Branton, D. & Deamer, D. W. Characterization of individual polynucleotide molecules using a membrane channel. Proc. Natl Acad. Sci. USA 93, 13770–13773 (1996).

    Article  CAS  Google Scholar 

  9. Butler, T. Z., Pavlenok, M., Derrington, I. M., Niederweis, M. & Gundlach, J. H. Single-molecule DNA detection with an engineered MspA protein nanopore. Proc. Natl Acad. Sci. USA 105, 20647–20652 (2008).

    Article  CAS  Google Scholar 

  10. Stoddart, D., Franceschini, L., Heron, A., Bayley, H. & Maglia, G. DNA stretching and optimization of nucleobase recognition in enzymatic nanopore sequencing. Nanotechnology 26, 084002 (2015).

    Article  CAS  Google Scholar 

  11. Stoddart, D. et al. Nucleobase recognition in ssDNA at the central constriction of the alpha-hemolysin pore. Nano Lett. 10, 3633–3637 (2010).

    Article  CAS  Google Scholar 

  12. Stoddart, D., Heron, A. J., Mikhailova, E., Maglia, G. & Bayley, H. Single-nucleotide discrimination in immobilized DNA oligonucleotides with a biological nanopore. Proc. Natl Acad. Sci. USA 106, 7702–7707 (2009).

    Article  CAS  Google Scholar 

  13. Maglia, G., Heron, A. J., Stoddart, D., Japrung, D. & Bayley, H. Analysis of single nucleic acid molecules with protein nanopores. Methods Enzymol. 475, 591–623 (2010).

    Article  CAS  Google Scholar 

  14. Cherf, G. M. et al. Automated forward and reverse ratcheting of DNA in a nanopore at 5-Å precision. Nat. Biotechnol. 30, 344–348 (2012).

    Article  CAS  Google Scholar 

  15. Manrao, E. A. et al. Reading DNA at single-nucleotide resolution with a mutant MspA nanopore and phi29 DNA polymerase. Nat. Biotechnol. 30, 349–353 (2012).

    Article  CAS  Google Scholar 

  16. Brown, C. G. No Thanks, I’ve already got one. YouTube https://www.youtube.com/watch?v=nizGyutn6v4 (2016).

  17. Goyal, P. et al. Structural and mechanistic insights into the bacterial amyloid secretion channel CsgG. Nature 516, 250–253 (2014).

    Article  CAS  Google Scholar 

  18. Robinson, L. S., Ashman, E. M., Hultgren, S. J. & Chapman, M. R. Secretion of curli fibre subunits is mediated by the outer membrane-localized CsgG protein. Mol. Microbiol. 59, 870–881 (2006).

    Article  CAS  Google Scholar 

  19. Van Gerven, N., Van der Verren, S. E., Reiter, D. M. & Remaut, H. The role of functional amyloids in bacterial virulence. J. Mol. Biol. 420, 3657–3684 (2018).

    Article  Google Scholar 

  20. Cao, B. et al. Structure of the nonameric bacterial amyloid secretion channel. Proc. Natl Acad. Sci. USA 111, E5439–E5444 (2014).

    Article  CAS  Google Scholar 

  21. Chapman, M. R. et al. Role of Escherichia coli curli operons in directing amyloid fiber formation. Science 295, 851–855 (2002).

    Article  CAS  Google Scholar 

  22. Nenninger, A. A., Robinson, L. S. & Hultgren, S. J. Localized and efficient curli nucleation requires the chaperone-like amyloid assembly protein CsgF. Proc. Natl Acad. Sci. USA 106, 900–905 (2009).

    Article  CAS  Google Scholar 

  23. Nenninger, A. A. et al. CsgE is a curli secretion specificity factor that prevents amyloid fibre aggregation. Mol. Microbiol. 81, 486–499 (2011).

    Article  CAS  Google Scholar 

  24. Schubeis, T. et al. Structural and functional characterization of the curli adaptor protein CsgF. FEBS Lett. 592, 1020–1029 (2018).

    Article  CAS  Google Scholar 

  25. Chi, Q., Wang, G. & Jian, J. The persistence length and length per base of single-stranded DNA obtained from fluorescence correlation spectroscopy measurements using mean field theory. Phys. A 392, 1072–1079 (2013).

    Article  CAS  Google Scholar 

  26. Jain, M., Olsen, H. E., Paten, B. & Akeson, M. The Oxford Nanopore MinION: delivery of nanopore sequencing to the genomics community. Genome Biol. 17, 239 (2016).

    Article  Google Scholar 

  27. Carter, J. M. & Hussain, S. Robust long-read native DNA sequencing using the ONT CsgG Nanopore system. Wellcome Open Res. 2, 23 (2017).

    Article  Google Scholar 

  28. Wick, R. R., Judd, L. M. & Holt, K. E. Performance of neural network basecalling tools for Oxford Nanopore sequencing. Genome Biol. 20, 129 (2019).

    Article  Google Scholar 

  29. Tang, G. et al. EMAN2: an extensible image processing suite for electron microscopy. J. Struct. Biol. 157, 38–46 (2007).

    Article  CAS  Google Scholar 

  30. Pettersen, E. F. et al. UCSF Chimera–a visualization system for exploratory research and analysis. J. Comput. Chem. 25, 1605–1612 (2004).

    Article  CAS  Google Scholar 

  31. Robinson, J. T. et al. Integrative genomics viewer. Nat. Biotechnol. 29, 24–26 (2011).

    Article  CAS  Google Scholar 

  32. Medaka v.0.8.1 (Oxford Nanopore Technologies, 2018); https://nanoporetech.github.io/medaka/

  33. Miroux, B. & Walker, J. E. Over-production of proteins in Escherichia coli: mutant hosts that allow synthesis of some membrane proteins and globular proteins at high levels. J. Mol. Biol. 260, 289–298 (1996).

    Article  CAS  Google Scholar 

  34. Casadaban, M. J. Transposition and fusion of the lac genes to selected promoters in Escherichia coli using bacteriophage lambda and Mu. J. Mol. Biol. 104, 541–555 (1976).

    Article  CAS  Google Scholar 

  35. Zheng, S. Q. et al. MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nat. Methods 14, 331–332 (2017).

    Article  CAS  Google Scholar 

  36. Rohou, A. & Grigorieff, N. CTFFIND4: fast and accurate defocus estimation from electron micrographs. J. Struct. Biol. 192, 216–221 (2015).

    Article  Google Scholar 

  37. Kimanius, D., Forsberg, B. O., Scheres, S. H. & Lindahl, E. Accelerated cryo-EM structure determination with parallelisation using GPUs in RELION-2. Elife 5, e18722 (2016).

  38. Reboul, C. F., Eager, M., Elmlund, D. & Elmlund, H. Single-particle cryo-EM-improved ab initio 3D reconstruction with SIMPLE/PRIME. Protein Sci. 27, 51–61 (2018).

    Article  CAS  Google Scholar 

  39. Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. Features and development of Coot. Acta Crystallogr. D 66, 486–501 (2010).

    Article  CAS  Google Scholar 

  40. Afonine, P. V. et al. Real-space refinement in PHENIX for cryo-EM and crystallography. Acta Crystallogr. D 74, 531–544 (2018).

    Article  CAS  Google Scholar 

  41. Smart, O. S., Neduvelil, J. G., Wang, X., Wallace, B. A. & Sansom, M. S. HOLE: a program for the analysis of the pore dimensions of ion channel structural models. J. Mol. Graph. 14, 354–360 (1996).

    Article  CAS  Google Scholar 

  42. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2017); https://www.R-project.org/

  43. Corpet, F. Multiple sequence alignment with hierarchical clustering. Nucleic Acids Res. 16, 10881–10890 (1988).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We are grateful to R. Thompson and J. van Rooyen for assistance during cryo-EM data collection on Titan Krios 1 at the Astbury Biostructure Laboratory, Leeds and Krios m02 at Diamond - eBIC, Harwell Science and Innovation Campus, UK, respectively. We thank R. Efremov for advice on cryo-EM image processing, and are grateful to S. Young at ONT for helpful discussion and advice on MinION data analysis. This work received funding from the European Research Council under the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 649082 (BAS-SBBT). S.E.V.d.V. is a recipient of a PhD fellowship of the Flanders Research Foundation (FWO).

Author information

Authors and Affiliations

Authors

Contributions

S.E.V.d.V. produced and characterized CsgG–CsgF complexes and determined their cryo-EM structure, supervised by H.R. N.V.G. and W.J. produced and analysed CsgG, CsgF and CsgG–FCP constructs and protein. P.S., R.H., J.K., M.J. and E.J.W. produced CsgG–FCP pores, and recorded and analysed electrophysiology data. L.J. and H.R. supervised the study and analysed data. S.E.V.d.V., E.J.W., L.J. and H.R. wrote the paper, with contributions of all authors.

Corresponding author

Correspondence to Han Remaut.

Ethics declarations

Competing interests

VIB and ONT have jointly filed two provisional patent applications on the construction and use of dual-constriction pores in nanopore sensing applications (PCT/GB2018/051858 and PCT/GB2018/051191). VIB has a funded research collaboration agreement with ONT related to CsgG-derived nanopores. ONT uses CsgG-derived nanopores in its MinION, GridION and PromethION nanopore sequencing devices. As inventors on VIB intellectual property, S.E.V.d.V., N.V.G. and H.R. receive a share in royalty payments. R.H., P.S., J.K., M.J., E.J.W. and L.J. are employees of ONT and own company share options.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data

Extended Data Fig. 1 Electron cryo-microscopy of the CsgG:CsgF complex.

a, SDS PAGE of CsgG or CsgG:CsgF complex obtained by tandem affinity purification of the outer membrane proteins extracted from cells expressing CsgG-Strep II (pPG1) or CsgG-Strep II and CsgF-His (pNA62), respectively. Gel representative for n>10 experiments. b, Representative 2D class averages for the CsgG:CsgF dataset enriched for single pores (that is C9 CsgG:CsgF complexes), generated using SIMPLE and used for 3D reconstruction using Relion-2.0. c, Off-axis top view and cross-sectional side view of the CsgG:CsgF cryo-EM 3D electron potential map reconstructed to 3.4 Å. d, Representative region of electron potential map of the CsgG:CsgF complex. Region of focus is the constriction helix of FCP, stacking against the lumen of the CsgG β-barrel. One CsgF protomer is highlighted in purple, the others in grey; CsgG is depicted in gold. Heteroatoms are in blue (nitrogens) and red (oxygens). The electron potential map is cut-off at a contour of 0.5, shown in stick and mesh representation, rendered using UCSF Chimera 1.10.2. (e) Fourier Shell Correlation (FSC) curves of the final 3D reconstruction (black: FSC corrected map, green: FSC unmasked map, blue: FSC masked map, red: FSC phase randomized unmasked map).

Source data

Extended Data Fig. 2 Production and thermal stability of CsgG:CsgF and CsgG:FCP pores.

a, Production and temperature stability assessment of the CsgG:CsgF pore complex. Incubation of purified CsgG and CsgF in a 1:1 ratio results in the formation of a SDS stable CsgG:CsgF pore complex that is heat stable up to 70 °C. b, The N-terminal residues of CsgF insert into the CsgG channel and form a second region of constriction, whilst the remaining ~ 100 residues form a cap like head structure (Fig. 1e, f). For nanopore sensing purposes, we sought to produce a complex of CsgG with the CsgF constriction peptide (FCP), lacking the neck and head domains. To do so, CsgG was complexed with CsgF mutants modified to insert a TEV cleavage site at position 30, 35 or 45. The reconstituted CsgG:CsgF pore complexes were digested with TEV protease and analysed by SDS-PAGE (c). M: molecular mass marker, Lane 1, 2: Strep II-tag affinity purified CsgG:CsgF complex and excess CsgG, Lane 3: isolation of CsgG:CsgF complex by size exclusion chromatography, Lane 4: CsgG:CsgF35-TEV cleaved with TEV protease to generate CsgG:FCP complex, Lane 5: flow through of CsgG:FCP after Strep purification, Lane 6: CsgG:FCP heated to 60 °C for 10 minutes. Lane 7: Eluted CsgG:FCP complex from Strep column, Lane 8: CsgG pore as the control, Lane 9: TEV protease as the control.

Extended Data Fig. 3 Multiple sequence alignment of CsgF-homologues.

a, Multiple sequence alignment (Multalin43) of 22 representative CsgF sequences. Aligned sequences are shown as mature proteins (that is lacking their N-terminal signal peptide). The N-terminal 33 residues of the mature protein form a continuous stretch of high sequence conservation (48% average pairwise sequence identity) encompassing the region interacting with CsgG and forming the CsgF constriction peptide. CsgF homologues included in the multiple sequence alignment are UniProt entries Q88H88; A0A143HJA0; Q5E245; Q084E5; F0LZU2; A0A136HQR0; A0A0W1SRL3; B0UH01; Q6NAU5; G8PUY5; A0A0S2ETP7; E3I1Z1; F3Z094; A0A176T7M2; D2QPP8; N2IYT1; W7QHV5; D4ZLW2; D2QT92; A0A167UJA2. b, Schematic diagram of CsgF protein architecture. (SP) signal peptide, cleaved upon secretion; (FCP) CsgF constriction peptide, CsgF neck and head region are coloured green.

Extended Data Fig. 4 Sequencing setup and channel characteristics of CsgG and CsgG:FCP nanopores.

a, Schematic representation of the electrophysiology setup of CsgG-based nanopores as used for polynucleotide sequencing. CsgG-based channels (G) are reconstituted into artificial membranes with the periplasmic vestibule and β-barrel exposed to the cis and trans sides, respectively. Polynucleotide – enzyme (E) complexes are added to the cis side and current reads are recorded under an electric potential (Δψ) of 100 to 300 mV. b, c, Representative single channel traces (b) and current - voltage (IV) curves (c) for wildtype CsgG, CsgGF56Q and CsgGR9 and their FCP complexes: CsgG:FCP, CsgGF56Q:FCP and CsgGR9:FCP. I-V curves show mean ± 95% confidence interval of at least 60 single channels per pore, with the exception of wildtype CsgG (36 single channels) and CsgG:FCP (14 single channels).

Extended Data Fig. 5 Single channel stability of CsgGR9:FCP complexes.

a, b, Single channel conductance trace of two representative CsgGR9:FCP nanopores during a 24 hour sequencing run, recorded at -180 mV. The data show both CsgGR9 and CsgGR9:FCP are predominantly in a sequencing, DNA-occupied state, with apo pores capturing new DNA strands within seconds. The two traces show a CsgGR9:FCP pore complex that stays intact of the 24h sequencing run (a), as well as a pore complex that shows dissociation of the FCP peptides during the sequencing run (at ~ 19h; b). Upon FCP dissociation, the channel continues sequencing now as a CsgGR9 apo pore (labeled CsgGR9). Arrows indicate the average conductance levels of the open pore and the DNA-occupied pore during sequencing intervals. The zoomed in panels show two representative 30s time windows of the sequencing run of the intact CsgGR9:FCP channel (left) and the CsgGR9 channel following dissociation of FCP (right). The full and zoomed in sequencing runs show high DNA capture rates for CsgGR9:FCP channels throughout the 24h sequencing run. c, Scatter plot of the open pore current of 25 CsgGR9:FCP channels during 24h sequencing runs, recorded at -180 mV. Open pore plots for CsgGR9:FCP pores that stay intact throughout the 24h run (n=22), and pores that lose FCP (n=3) are coloured blue and red, respectively.

Extended Data Fig. 6 Constriction mapping oligos and single read basecalls for CsgGR9 and CsgGR9:FCP nanopores.

a, Set of static polyA ssDNA oligonucleotides in which one base is missing from the DNA backbone (iSpc3). These oligos that have differing location of the abasic nucleotide, dubbed SS20 to SS38, were used to map the constriction position in CsgGF56Q or CsgGF56Q:FCP (Fig. 3d). Biotin modification at the 3’ end of each strand is complexed with monovalent streptavidin to block translocation of the oligo and give a defined distance marker between the pore entrance (block site) and pore constriction (site of increased conductance when occupied by the abasic nucleotide; Fig. 3c). SS27-SS28 and SS32 (highlighted red) have their abasic nucleotide located at the CsgG and FCP constriction, respectively (Fig. 3d, e). b, Comparison of errors in single read (n=26) basecalls from CsgGR9 and CsgGR9:FCP pores that have been aligned to a representative region of the E. coli reference genome sequence. The region displayed corresponds to the locus 14,098 to 14,115. The figure is plotted using the Integrative Genomics Viewer software31. Pink/purple bars correspond to single reads in the forward and reverse directions respectively. Black horizontal bars correspond to deletions in the basecalls, where the number corresponds to the number of deletions at the specific loci. Individual substitutions are labeled with the miscalled nucleotide (C in blue, T in red, G in orange and A in green). Insertions are labeled ‘I’ (purple). Grey bars on top of the list of single reads of the CsgGR9 and CsgGR9:FCP pores correspond to the consensus accuracy per position.

Supplementary information

Supplementary Information

Supplementary Tables 1 and 2.

Reporting Summary

Source data

Source Data Fig. 1

SDS-PAGE and native PAGE gels uncropped; uncropped EM micrograph as example.

Source Data Extended Data Fig. 1

Uncropped SDS-PAGE gel.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Van der Verren, S.E., Van Gerven, N., Jonckheere, W. et al. A dual-constriction biological nanopore resolves homonucleotide sequences with high fidelity. Nat Biotechnol 38, 1415–1420 (2020). https://doi.org/10.1038/s41587-020-0570-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41587-020-0570-8

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing