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.

  • Letter
  • Published:

Selection and evolution of enzymes from a partially randomized non-catalytic scaffold

This article has been updated

Abstract

Enzymes are exceptional catalysts that facilitate a wide variety of reactions under mild conditions, achieving high rate-enhancements with excellent chemo-, regio- and stereoselectivities. There is considerable interest in developing new enzymes for the synthesis of chemicals and pharmaceuticals1,2,3 and as tools for molecular biology. Methods have been developed for modifying and improving existing enzymes through screening, selection and directed evolution4,5. However, the design and evolution of truly novel enzymes has relied on extensive knowledge of the mechanism of the reaction6,7,8,9,10. Here we show that genuinely new enzymatic activities can be created de novo without the need for prior mechanistic information by selection from a naive protein library of very high diversity, with product formation as the sole selection criterion. We used messenger RNA display, in which proteins are covalently linked to their encoding mRNA11, to select for functional proteins from an in vitro translated protein library of >1012independent sequences without the constraints imposed by any in vivo step. This technique has been used to evolve new peptides and proteins that can bind a specific ligand12,13,14,15,16,17,18, from both random-sequence libraries12,14,15,16 and libraries based on a known protein fold17,18. We now describe the isolation of novel RNA ligases from a library that is based on a zinc finger scaffold18,19, followed by in vitro directed evolution to further optimize these enzymes. The resulting ligases exhibit multiple turnover with rate enhancements of more than two-million-fold.

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

Figure 1: In vitro selection of enzymes by mRNA display.
Figure 2: Progress of the selection.
Figure 3: Sequences of the starting library and selected ligases.
Figure 4: Characterization of ligase enzyme.

Similar content being viewed by others

Change history

  • 18 October 2007

    In the PDF and print versions of this manuscript, the vertical arrow indicating the ligation junction was incorrectly placed two letters to the left during production. This was corrected on this HTML version on 18 October 2007.

References

  1. Schmid, A. et al. Industrial biocatalysis today and tomorrow. Nature 409, 258–268 (2001)

    Article  ADS  CAS  Google Scholar 

  2. Cherry, J. R. & Fidantsef, A. L. Directed evolution of industrial enzymes: an update. Curr. Opin. Biotechnol. 14, 438–443 (2003)

    Article  CAS  Google Scholar 

  3. Panke, S., Held, M. & Wubbolts, M. Trends and innovations in industrial biocatalysis for the production of fine chemicals. Curr. Opin. Biotechnol. 15, 272–279 (2004)

    Article  CAS  Google Scholar 

  4. Bloom, J. D. et al. Evolving strategies for enzyme engineering. Curr. Opin. Struct. Biol. 15, 447–452 (2005)

    Article  CAS  Google Scholar 

  5. Aharoni, A., Griffiths, A. D. & Tawfik, D. S. High-throughput screens and selections of enzyme-encoding genes. Curr. Opin. Chem. Biol. 9, 210–216 (2005)

    Article  CAS  Google Scholar 

  6. Bolon, D. N. & Mayo, S. L. Enzyme-like proteins by computational design. Proc. Natl Acad. Sci. USA 98, 14274–14279 (2001)

    Article  ADS  CAS  Google Scholar 

  7. Dwyer, M. A., Looger, L. L. & Hellinga, H. W. Computational design of a biologically active enzyme. Science 304, 1967–1971 (2004)

    Article  ADS  CAS  Google Scholar 

  8. Park, H. S. et al. Design and evolution of new catalytic activity with an existing protein scaffold. Science 311, 535–538 (2006)

    Article  ADS  CAS  Google Scholar 

  9. Cesaro-Tadic, S. et al. Turnover-based in vitro selection and evolution of biocatalysts from a fully synthetic antibody library. Nature Biotechnol. 21, 679–685 (2003)

    Article  CAS  Google Scholar 

  10. Xu, Y., Yamamoto, N. & Janda, K. D. Catalytic antibodies: hapten design strategies and screening methods. Bioorg. Med. Chem. 12, 5247–5268 (2004)

    Article  CAS  Google Scholar 

  11. Roberts, R. W. & Szostak, J. W. RNA–peptide fusions for the in vitro selection of peptides and proteins. Proc. Natl Acad. Sci. USA 94, 12297–12302 (1997)

    Article  ADS  CAS  Google Scholar 

  12. Keefe, A. D. & Szostak, J. W. Functional proteins from a random-sequence library. Nature 410, 715–718 (2001)

    Article  ADS  CAS  Google Scholar 

  13. Wilson, D. S., Keefe, A. D. & Szostak, J. W. The use of mRNA display to select high-affinity protein-binding peptides. Proc. Natl Acad. Sci. USA 98, 3750–3755 (2001)

    Article  ADS  CAS  Google Scholar 

  14. Baggio, R. et al. Identification of epitope-like consensus motifs using mRNA display. J. Mol. Recognit. 15, 126–134 (2002)

    Article  CAS  Google Scholar 

  15. Cujec, T. P., Medeiros, P. F., Hammond, P., Rise, C. & Kreider, B. L. Selection of v-abl tyrosine kinase substrate sequences from randomized peptide and cellular proteomic libraries using mRNA display. Chem. Biol. 9, 253–264 (2002)

    Article  CAS  Google Scholar 

  16. Raffler, N. A., Schneider-Mergener, J. & Famulok, M. A novel class of small functional peptides that bind and inhibit human alpha-thrombin isolated by mRNA display. Chem. Biol. 10, 69–79 (2003)

    Article  CAS  Google Scholar 

  17. Xu, L. H. et al. Directed evolution of high-affinity antibody mimics using mRNA display. Chem. Biol. 9, 933–942 (2002)

    Article  CAS  Google Scholar 

  18. Cho, G. S. & Szostak, J. W. Directed evolution of ATP binding proteins from a zinc finger domain by using mRNA display. Chem. Biol. 13, 139–147 (2006)

    Article  CAS  Google Scholar 

  19. Holmbeck, S. M. A. et al. High-resolution solution structure of the retinoid X receptor DNA-binding domain. J. Mol. Biol. 281, 271–284 (1998)

    Article  CAS  Google Scholar 

  20. Cadwell, R. C. & Joyce, G. F. Randomization of genes by PCR mutagenesis. PCR Methods Appl. 2, 28–33 (1992)

    Article  CAS  Google Scholar 

  21. Wilson, D. S. & Keefe, A. D. in Current Protocols in Molecular Biology (eds Ausubel, F. et al.) Suppl. 51, unit 8.3 (Wiley, New York, 2000)

    Google Scholar 

  22. Slootstra, J. W., Kuperus, D., Pluckthun, A. & Meloen, R. H. Identification of new tag sequences with differential and selective recognition properties for the anti-FLAG monoclonal antibodies M1, M2 and M5. Mol. Divers. 2, 156–164 (1997)

    Article  CAS  Google Scholar 

  23. Rohatgi, R., Bartel, D. P. & Szostak, J. W. Kinetic and mechanistic analysis of nonenzymatic, template-directed oligoribonucleotide ligation. J. Am. Chem. Soc. 118, 3332–3339 (1996)

    Article  CAS  Google Scholar 

  24. Griffiths, A. D. & Tawfik, D. S. Man-made enzymes — from design to in vitro compartmentalisation. Curr. Opin. Biotechnol. 11, 338–353 (2000)

    Article  CAS  Google Scholar 

  25. Bryant, F. R. & Benkovic, S. J. On the mechanism of T4 RNA ligase. J. Am. Chem. Soc. 103, 696–697 (1981)

    Article  CAS  Google Scholar 

  26. Bonner, G., Lafer, E. M. & Sousa, R. Characterization of a set of T7 RNA-polymerase active site mutants. J. Biol. Chem. 269, 25120–25128 (1994)

    Article  CAS  Google Scholar 

  27. Bartel, D. P. & Szostak, J. W. Isolation of new ribozymes from a large pool of random sequences. Science 261, 1411–1418 (1993)

    Article  ADS  CAS  Google Scholar 

  28. Purtha, W. E., Coppins, R. L., Smalley, M. K. & Silverman, S. K. General deoxyribozyme-catalyzed synthesis of native 3′–5′ RNA linkages. J. Am. Chem. Soc. 127, 13124–13125 (2005)

    Article  CAS  Google Scholar 

  29. Ekland, E. H., Szostak, J. W. & Bartel, D. P. Structurally complex and highly-active RNA ligases derived from random RNA sequences. Science 269, 364–370 (1995)

    Article  ADS  CAS  Google Scholar 

  30. Volckaert, G. & Fiers, W. Micro thin-layer techniques for rapid sequence-analysis of P-32-Labeled RNA - double digestion and pancreatic ribonuclease analyses. Anal. Biochem. 83, 228–239 (1977)

    Article  CAS  Google Scholar 

  31. Moore, M. J. & Sharp, P. A. Site-specific modification of pre-messenger-RNA — the 2'-hydroxyl groups at the splice sites. Science 256, 992–997 (1992)

    Article  ADS  CAS  Google Scholar 

  32. Kurz, M., Gu, K. & Lohse, P. A. Psoralen photo-crosslinked mRNA-puromycin conjugates: a novel template for the rapid and facile preparation of mRNA–protein fusions. Nucleic Acids Res. 28, e83 (2000)

    Article  CAS  Google Scholar 

  33. Cho, G., Keefe, A. D., Liu, R. H., Wilson, D. S. & Szostak, J. W. Constructing high complexity synthetic libraries of long ORFs using in vitro selection. J. Mol. Biol. 297, 309–319 (2000)

    Article  CAS  Google Scholar 

  34. Liu, R. H., Barrick, J. E., Szostak, J. W. & Roberts, R. W. Optimized synthesis of RNA–protein fusions for in vitro protein selection. Methods Enzymol. 318, 268–293 (2000)

    Article  CAS  Google Scholar 

  35. McCafferty, D. G., Lessard, I. A. D. & Walsh, C. T. Mutational analysis of potential zinc-binding residues in the active site of the enterococcal D-Ala-D-Ala dipeptidase VanX. Biochemistry 36, 10498–10505 (1997)

    Article  CAS  Google Scholar 

  36. Hall, T. A. BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucl. Acids Symp. Ser. 41, 95–98 (1999)

    CAS  Google Scholar 

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

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We thank G. S. Cho for providing the RXR library before its publication along with valuable advice; A. D. Keefe for critical input during the initiation of this project; C. Mueller-Vahl for help with protein expression and purification; G.-P. Zhou and J. J. Chou for NMR measurements; A. D. Keefe, G. S. Cho, G. F. Short, R. Larralde, J. M. Carothers, J. K. Ichida, F. P. Seebeck, S. S. Mansy, C. Del Bianco, D. A. Treco, D. S. Wilson, A. J. Bell, A. Luptak, R. Bruckner and Z. Sachs for helpful discussions. This work was supported by a grant from the NASA Astrobiology Institute. B.S. was supported in part by the Emmy Noether-Programm of the Deutsche Forschungsgemeinschaft. J.W.S. is an Investigator of the Howard Hughes Medical Institute.

Author Contributions All experiments were performed by B.S. Both authors designed the experiments, discussed the results and wrote the paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jack W. Szostak.

Ethics declarations

Competing interests

The DNA sequences encoding the ligase enzymes 1-7 have been deposited in GenBank under the accession numbers EU019543 to EU019549, respectively. Reprints and permissions information is available at www.nature.com/reprints. The authors declare no competing financial interests.

Supplementary information

Supplementary Figures

This file contains Supplementary Figures 1-2 with Legends and sequences of oligonucleotides, DNA library, selected clones. (PDF 173 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Seelig, B., Szostak, J. Selection and evolution of enzymes from a partially randomized non-catalytic scaffold. Nature 448, 828–831 (2007). https://doi.org/10.1038/nature06032

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nature06032

This article is cited by

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

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