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.

  • Review Article
  • Published:

Exploring protein fitness landscapes by directed evolution

Key Points

  • Directed evolution optimizes protein function by the successive generations of random mutation, artificial selection or screening. This simple design algorithm circumvents our ignorance of how sequence encodes function and provides a reliable approach to engineering proteins with new and useful properties.

  • Directed evolution can be envisioned as an uphill walk on a protein fitness landscape, in which regions of higher elevation represent more optimized proteins. The ruggedness of this fitness landscape affects the ability to find uphill paths to fitter sequences and therefore affects the ease of evolutionary searches.

  • Simple adaptive walks effectively optimize many protein functions, despite landscape ruggedness that arises from epistatic interactions between mutations. The many simple uphill routes to higher fitness can circumvent more convoluted paths that involve neutral or deleterious mutations. More-stable proteins can accept a wider ranger of mutations and are more evolvable.

  • Recombination of homologous protein sequences provides access to functional sequences with many mutations. These recombined (chimeric) proteins can exhibit properties outside the range of the parental sequences, such as higher stability or even novel activities.

  • Directed evolution studies have generated a wealth of information on the structure of protein fitness landscapes, mechanisms of adaption, pathways that are accessible under different selection pressures and the nature of trade-offs between properties during evolution.

Abstract

Directed evolution circumvents our profound ignorance of how a protein's sequence encodes its function by using iterative rounds of random mutation and artificial selection to discover new and useful proteins. Proteins can be tunedto adapt to new functions or environments by simple adaptive walks involving small numbers of mutations. Directed evolution studies have shown how rapidly some proteins can evolve under strong selection pressures and, because the entire 'fossil record' of evolutionary intermediates is available for detailed study, they have provided new insight into the relationship between sequence and function. Directed evolution has also shown how mutations that are functionally neutral can set the stage for further adaptation.

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: Protein fitness landscapes.
Figure 2: Overview of directed evolution.
Figure 3: Recombination of homologous sequences.
Figure 4: Directed evolution of a cytochrome P450 propane monooxygenase.
Figure 5: Stability threshold and epistasis.

Similar content being viewed by others

References

  1. Chen, K. & Arnold, F. H. Tuning the activity of an enzyme for unusual environments: sequential random mutagenesis of subtilisin E for catalysis in dimethylformamide. Proc. Natl Acad. Sci. USA 90, 5618–5622 (1993). The first demonstration of directed evolution by successive rounds of mutagenesis and screening — a strategy now widely used to engineer enzymes.

    CAS  PubMed  PubMed Central  Google Scholar 

  2. Reetz, M. T. Combinatorial and evolution-based methods in the creation of enantioselective catalysts. Angew. Chem. Int. Ed. Engl. 40, 284–310 (2001).

    CAS  PubMed  Google Scholar 

  3. Boder, E. T., Midelfort, K. S. & Wittrup, K. D. Directed evolution of antibody fragments with monovalent femtomolar antigen-binding affinity. Proc. Natl Acad. Sci. USA 97, 10701–10705 (2000).

    CAS  PubMed  PubMed Central  Google Scholar 

  4. Campbell, R. E. et al. A monomeric red fluorescent protein. Proc. Natl Acad. Sci. USA 99, 7877–7882 (2002).

    CAS  PubMed  PubMed Central  Google Scholar 

  5. Jiang, L. et al. De novo computational design of retro-aldol enzymes. Science 319, 1387–1391 (2008).

    CAS  PubMed  PubMed Central  Google Scholar 

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

    CAS  PubMed  PubMed Central  Google Scholar 

  7. Rothlisberger, D. et al. Kemp elimination catalysts by computational enzyme design. Nature 453, 190–195 (2008). This study shows how computational design and directed evolution can be combined to create and improve new functions.

    PubMed  Google Scholar 

  8. Tokuriki, N. & Tawfik, D. Protein dynamism and evolvability. Science 324, 203 (2009).

    CAS  PubMed  Google Scholar 

  9. Shimotohno, A., Oue, S., Yano, T., Kuramitsu, S. & Kagamiyama, R. Demonstration of the importance and usefulness of manipulating non-active-site residues in protein design. J. Biochem. 129, 943–948 (2001).

    CAS  PubMed  Google Scholar 

  10. Spiller, B., Gershenson, A., Arnold, F. & Stevens, R. A structural view of evolutionary divergence. Proc. Natl Acad. Sci. USA 96, 12305–12310 (1999).

    CAS  PubMed  PubMed Central  Google Scholar 

  11. Aharoni, A. et al. The 'evolvability' of promiscuous protein functions. Nature Genetics 37, 73–76 (2005). This work shows that enzymes with promiscuous activities that are improved in directed evolution tend to retain their native activities.

    CAS  PubMed  Google Scholar 

  12. Sarkar, I., Hauber, I., Hauber, J. & Buchholz, F. HIV-1 proviral DNA excision using an evolved recombinase. Science 316, 1912–1915 (2007).

    CAS  PubMed  Google Scholar 

  13. Fasan, R., Chen, M. M., Crook, N. C. & Arnold, F. H. Engineered alkane-hydroxylating cytochrome P450(BM3) exhibiting native-like catalytic properties. Angew. Chem. Int. Ed. Engl. 46, 8414–8418 (2007). An intermediate selective pressure (activity on octane) was used to direct the evolution of a P450 for high activity on propane — an activity which the original enzyme, a fatty acid hydroxylase, does not exhibit.

    CAS  PubMed  Google Scholar 

  14. Reetz, M. T., D Carballeira, J. & Vogel, A. Iterative saturation mutagenesis on the basis of B factors as a strategy for increasing protein thermostability. Angew. Chem. Int. Ed. Engl. 45, 7745–7751 (2006). An alternative directed evolution strategy using structure information to focus mutations achieved a large increase in enzyme stability.

    CAS  PubMed  Google Scholar 

  15. Yoo, T. H., Link, A. J. & Tirrell, D. A. Evolution of a fluorinated green fluorescent protein. Proc. Natl Acad. Sci. USA 104, 13887–13890 (2007).

    CAS  PubMed  PubMed Central  Google Scholar 

  16. Tsien, R. Constructing and exploiting the fluorescent protein paintbox (Nobel Lecture). Angew. Chem. Int. Ed. Engl. 48, 5612–5626 (2009).

    CAS  PubMed  Google Scholar 

  17. Shaner, N. et al. Improved monomeric red, orange and yellow fluorescent proteins derived from Discosoma sp. red fluorescent protein. Nature Biotech. 22, 1567–1572 (2004).

    CAS  Google Scholar 

  18. Yokobayashi, Y., Weiss, R. & Arnold, F. H. Directed evolution of a genetic circuit. Proc. Natl Acad. Sci. USA 99, 16587–16591 (2002).

    CAS  PubMed  PubMed Central  Google Scholar 

  19. Beaudry, A. A. & Joyce, G. F. Directed evolution of an RNA enzyme. Science 257, 635–641 (1992).

    CAS  PubMed  Google Scholar 

  20. Alper, H., Fischer, C., Nevoigt, E. & Stephanopoulos, G. Tuning genetic control through promoter engineering. Proc. Natl Acad. Sci. USA 102, 12678–12683 (2005).

    CAS  PubMed  PubMed Central  Google Scholar 

  21. Arnold, F. H., Wintrode, P. L., Miyazaki, K. & Gershenson, A. How enzymes adapt: lessons from directed evolution. Trends Biochem. Sci. 26, 100–106 (2001).

    CAS  PubMed  Google Scholar 

  22. Wintrode, P. L. & Arnold, F. H. Temperature adaptation of enzymes: lessons from laboratory evolution. Adv. Protein Chem. 55, 161–225 (2000).

    CAS  PubMed  Google Scholar 

  23. Smith, J. M. Natural selection and the concept of a protein space. Nature 225, 563–564 (1970). A beautiful description of protein evolution as a walk through sequence space.

    CAS  PubMed  Google Scholar 

  24. Mandecki, W. The game of chess and searches in protein sequence space. Trends Biotechnol. 16, 200–202 (1998).

    CAS  Google Scholar 

  25. Wright, S. Evolution in mendelian populations. Genetics 16, 0097–0159 (1931).

    CAS  Google Scholar 

  26. Wolpert, D. H. & Macready, W. G. No free lunch theorems for optimization. IEEE Trans. Evol. Comp. 1, 67–82 (1997).

    Google Scholar 

  27. Kauffman, S. A. & Weinberger, E. D. The NK model of rugged fitness landscapes and its application to maturation of the immune-response. J. Theor. Biol. 141, 211–245 (1989).

    CAS  PubMed  Google Scholar 

  28. Wagner, A. Robustness and evolvability: a paradox resolved. Proc. Biol. Sci. 275, 91–100 (2008).

    PubMed  Google Scholar 

  29. Bloom, J. D., Labthavikul, S. T., Otey, C. R. & Arnold, F. H. Protein stability promotes evolvability. Proc. Natl Acad. Sci. USA 103, 5869–5874 (2006). This work showed that excess stability provides increased mutational tolerance and allows greater room for adaptation in directed evolution.

    CAS  PubMed  PubMed Central  Google Scholar 

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

    CAS  PubMed  PubMed Central  Google Scholar 

  31. Axe, D. D. Estimating the prevalence of protein sequences adopting functional enzyme folds. J. Mol. Biol. 341, 1295–1315 (2004).

    CAS  PubMed  Google Scholar 

  32. Taverna, D. M. & Goldstein, R. A. Why are proteins marginally stable? Proteins 46, 105–109 (2002).

    CAS  PubMed  Google Scholar 

  33. Govindarajan, S. & Goldstein, R. A. Evolution of model proteins on a foldability landscape. Proteins 29, 461–466 (1997).

    CAS  PubMed  Google Scholar 

  34. Xia, Y. & Levitt, M. Funnel-like organization in sequence space determines the distributions of protein stability and folding rate preferred by evolution. Proteins 55, 107–114 (2004).

    CAS  PubMed  PubMed Central  Google Scholar 

  35. Taverna, D. M. & Goldstein, R. A. Why are proteins so robust to site mutations? J. Mol. Biol. 315, 479–484 (2002).

    CAS  PubMed  Google Scholar 

  36. Bloom, J. D. et al. Thermodynamic prediction of protein neutrality. Proc. Natl Acad. Sci. USA 102, 606–611 (2005).

    CAS  PubMed  PubMed Central  Google Scholar 

  37. Guo, H. H., Choe, J. & Loeb, L. A. Protein tolerance to random amino acid change. Proc. Natl Acad. Sci. USA 101, 9205–9210 (2004).

    CAS  PubMed  PubMed Central  Google Scholar 

  38. Arnold, F. H. Directed evolution: creating biocatalysts for the future. Chem. Eng. Sci. 51, 5091–5102 (1996).

    CAS  Google Scholar 

  39. England, J. L. & Shakhnovich, E. I. Structural determinant of protein designability. Phys. Rev. Lett. 90, 218101 (2003).

    PubMed  Google Scholar 

  40. O'Loughlin, T. L., Patrick, W. M. & Matsumura, I. Natural history as a predictor of protein evolvability. Protein Eng. Des. Sel. 19, 439–442 (2006).

    CAS  PubMed  Google Scholar 

  41. Umeno, D., Tobias, A. V. & Arnold, F. H. Diversifying carotenoid biosynthetic pathways by directed evolution. Microbiol. Mol. Biol. Rev. 69, 51–78 (2005).

    CAS  PubMed  PubMed Central  Google Scholar 

  42. Glasner, M. E., Gerlt, J. A. & Babbitt, P. C. Evolution of enzyme superfamilies. Curr. Opin. Chem. Biol. 10, 492–497 (2006).

    CAS  PubMed  Google Scholar 

  43. Bershtein, S., Segal, M., Bekerman, R., Tokuriki, N. & Tawfik, D. S. Robustness-epistasis link shapes the fitness landscape of a randomly drifting protein. Nature 444, 929–932 (2006). This study shows the role of protein stability in epistasis.

    CAS  PubMed  Google Scholar 

  44. Claren, J., Malisi, C., Hocker, B. & Sterner, R. Establishing wild-type levels of catalytic activity on natural and artificial (βα)8-barrel protein scaffolds. Proc. Natl Acad. Sci. USA 106, 3704–3709 (2009).

    CAS  PubMed  PubMed Central  Google Scholar 

  45. Drummond, D. A., Iverson, B. L., Georgiou, G. & Arnold, F. H. Why high-error-rate random mutagenesis libraries are enriched in functional and improved proteins. J. Mol. Biol. 350, 806–816 (2005).

    CAS  PubMed  Google Scholar 

  46. Reetz, M. T., Bocola, M., Carballeira, J. D., Zha, D. X. & Vogel, A. Expanding the range of substrate acceptance of enzymes: combinatorial active-site saturation test. Angew. Chem. Int. Ed. Engl. 44, 4192–4196 (2005).

    CAS  PubMed  Google Scholar 

  47. Treynor, T. P., Vizcarra, C. L., Nedelcu, D. & Mayo, S. L. Computationally designed libraries of fluorescent proteins evaluated by preservation and diversity of function. Proc. Natl Acad. Sci. USA 104, 48–53 (2007).

    CAS  PubMed  Google Scholar 

  48. Yoshikuni, Y., Ferrin, T. E. & Keasling, J. D. Designed divergent evolution of enzyme function. Nature 440, 1078–1082 (2006).

    CAS  PubMed  Google Scholar 

  49. You, L. & Arnold, F. Directed evolution of subtilisin E in Bacillus subtilis to enhance total activity in aqueous dimethylformamide. Protein Eng. 9, 77–83 (1996).

    CAS  PubMed  Google Scholar 

  50. Fujii, R., Kitaoka, M. & Hayashi, K. RAISE: a simple and novel method of generating random insertion and deletion mutations. Nucl. Acids Res. 34, e30 (2006).

    PubMed  PubMed Central  Google Scholar 

  51. Qian, Z. & Lutz, S. Improving the catalytic activity of Candida antarctica lipase B by circular permutation. J. Am. Chem. Soc. 127, 13466–13467 (2005).

    CAS  PubMed  Google Scholar 

  52. Neylon, C. Chemical and biochemical strategies for the randomization of protein encoding DNA sequences: library construction methods for directed evolution. Nucl. Acids Res. 32, 1448–1459 (2004).

    CAS  PubMed  PubMed Central  Google Scholar 

  53. Rennell, D., Bouvier, S. E., Hardy, L. W. & Poteete, A. R. Systematic mutation of bacteriophage-T4 lysozyme. J. Mol. Biol. 222, 67–87 (1991).

    CAS  PubMed  Google Scholar 

  54. Axe, D. D., Foster, N. W. & Fersht, A. R. A search for single substitutions that eliminate enzymatic function in a bacterial ribonuclease. Biochemistry 37, 7157–7166 (1998).

    CAS  PubMed  Google Scholar 

  55. Shafikhani, S., Siegel, R. A., Ferrari, E. & Schellenberger, V. Generation of large libraries of random mutants in Bacillus subtilis by PCR-based plasmid multimerization. Biotechniques 23, 304–310 (1997).

    CAS  PubMed  Google Scholar 

  56. Drummond, D. A., Silberg, J. J., Meyer, M. M., Wilke, C. O. & Arnold, F. H. On the conservative nature of intragenic recombination. Proc. Natl Acad. Sci. USA 102, 5380–5385 (2005).

    CAS  PubMed  PubMed Central  Google Scholar 

  57. Moore, J. C., Jin, H.-M., Kuchner, O. & Arnold, F. H. Strategies for the in vitro evolution of protein function: Enzyme evolution by random recombination of improved sequences. J. Mol. Biol. 272, 336–347 (1997).

    CAS  PubMed  Google Scholar 

  58. Stemmer, W. P. Rapid evolution of a protein in vitro by DNA shuffling. Nature 370, 389–391 (1994).

    CAS  PubMed  Google Scholar 

  59. Poelwijk, F. J., Kiviet, D. J., Weinreich, D. M. & Tans, S. J. Empirical fitness landscapes reveal accessible evolutionary paths. Nature 445, 383–386 (2007).

    CAS  PubMed  Google Scholar 

  60. Aita, T. et al. Surveying a local fitness landscape of a protein with epistatic sites for the study of directed evolution. Biopolymers 64, 95–105 (2002).

    CAS  PubMed  Google Scholar 

  61. Hayashi, Y. et al. Experimental rugged fitness landscape in protein sequence space. PLoS ONE 1, e96 (2006).

    PubMed  PubMed Central  Google Scholar 

  62. Bloom, J. D. & Arnold, F. H. In the light of directed evolution: pathways of adaptive protein evolution. Proc. Natl Acad. Sci. USA 106, 9995–10000 (2009).

    CAS  PubMed  PubMed Central  Google Scholar 

  63. Weinreich, D. M., Delaney, N. F., DePristo, M. A. & Hartl, D. L. Darwinian evolution can follow only very few mutational paths to fitter proteins. Science 312, 111–114 (2006). In this study, the authors construct every evolutionary intermediate between two sequences and evaluate the probability of all possible adaptive pathways.

    CAS  PubMed  Google Scholar 

  64. Reetz, M. T. & Sanchis, J. Constructing and analyzing the fitness landscape of an experimental evolutionary process. Chembiochem 9, 2260–2267 (2008).

    CAS  PubMed  Google Scholar 

  65. Bernath, K., Magdassi, S. & Tawfik, D. S. Directed evolution of protein inhibitors of DNA-nucleases by in vitro compartmentalization (IVC) and nano-droplet delivery. J. Mol. Biol. 345, 1015–1026 (2005).

    CAS  PubMed  Google Scholar 

  66. Liu, L., Li, Y., Liotta, D. & Lutz, S. Directed evolution of an orthogonal nucleoside analog kinase via fluorescence-activated cell sorting. Nucl. Acids Res. 37, 4472–4481 (2009).

    CAS  PubMed  PubMed Central  Google Scholar 

  67. Fischbach, M. A., Lai, J. R., Roche, E. D., Walsh, C. T. & Liu, D. R. Directed evolution can rapidly improve the activity of chimeric assembly-line enzymes. Proc. Natl Acad. Sci. USA 104, 11951–11956 (2007).

    CAS  PubMed  PubMed Central  Google Scholar 

  68. Halabi, N., Rivoire, O., Leibler, S. & Ranganathan, R. Protein sectors: evolutionary units of three-dimensional structure. Cell 138, 774–786 (2009).

    CAS  PubMed  PubMed Central  Google Scholar 

  69. Matsumura, I. & Ellington, A. D. In vitro evolution of β-glucuronidase into a β-galactosidase proceeds through non-specific intermediates. J. Mol. Biol. 305, 331–339 (2001).

    CAS  PubMed  Google Scholar 

  70. Park, S. et al. Focusing mutations into the P. fluorescens esterase binding site increases enantioselectivity more effectively than distant mutations. Chem. Biol. 12, 45–54 (2005).

    CAS  PubMed  Google Scholar 

  71. Paramesvaran, J., Hibbert, E. G., Russell, A. J. & Dalby, P. A. Distributions of enzyme residues yielding mutants with improved substrate specificities from two different directed evolution strategies. Protein Eng. Des. Sel. 22, 401–411 (2009).

    CAS  PubMed  Google Scholar 

  72. Fasan, R., Meharenna, Y. T., Snow, C. D., Poulos, T. L. & Arnold, F. H. Evolutionary history of a specialized P450 propane monooxygenase. J. Mol. Biol. 383, 1069–1080 (2008).

    CAS  PubMed  PubMed Central  Google Scholar 

  73. Voigt, C. A., Martinez, C., Wang, Z. G., Mayo, S. L. & Arnold, F. H. Protein building blocks preserved by recombination. Nature Struct. Biol. 9, 553–558 (2002).

    CAS  PubMed  Google Scholar 

  74. Hansson, L. O., Bolton-Grob, R., Massoud, T. & Mannervik, B. Evolution of differential substrate specificities in μ class glutathione transferases probed by DNA shuffling. J. Mol. Biol. 287, 265–276 (1999).

    CAS  PubMed  Google Scholar 

  75. Crameri, A., Raillard, S., Bermudez, E. & Stemmer, W. DNA shuffling of a family of genes from diverse species accelerates directed evolution. Nature 391, 288–291 (1998).

    CAS  PubMed  Google Scholar 

  76. Ostermeier, M., Shim, J. H. & Benkovic, S. J. A combinatorial approach to hybrid enzymes independent of DNA homology. Nature Biotech. 17, 1205–1209 (1999).

    CAS  Google Scholar 

  77. Lutz, S., Ostermeier, M., Moore, G. L., Maranas, C. D. & Benkovic, S. J. Creating multiple-crossover DNA libraries independent of sequence identity. Proc. Natl Acad. Sci. USA 98, 11248–11253 (2001).

    CAS  PubMed  PubMed Central  Google Scholar 

  78. Hiraga, K. & Arnold, F. H. General method for sequence-independent site-directed chimeragenesis. J. Mol. Biol. 330, 287–296 (2003).

    CAS  PubMed  Google Scholar 

  79. Heinzelman, P. et al. A family of thermostable fungal cellulases created by structure-guided recombination. Proc. Natl Acad. Sci. USA 106, 5610–5615 (2009).

    CAS  PubMed  PubMed Central  Google Scholar 

  80. Otey, C. R. et al. Structure-guided recombination creates an artificial family of cytochromes P450. PLoS Biol. 4, e112 (2006). An example of the use of recombination to create thousands of chimeric enzymes with numerous mutations and new properties that are not exhibited by the parent enzymes.

    PubMed  PubMed Central  Google Scholar 

  81. Campbell, R. K., Bergert, E. R., Wang, Y. H., Morris, J. C. & Moyle, W. R. Chimeric proteins can exceed the sum of their parts: implications for evolution and protein design. Nature Biotech. 15, 439–443 (1997).

    CAS  Google Scholar 

  82. Bloom, J. D., Romero, P. A., Lu, Z. & Arnold, F. H. Neutral genetic drift can alter promiscuous protein functions, potentially aiding functional evolution. Biol. Direct 2, 17 (2007).

    PubMed  PubMed Central  Google Scholar 

  83. Amitai, G., Gupta, R. D. & Tawfik, D. S. Latent evolutionary potentials under the neutral mutational drift of an enzyme. HFSP J. 1, 67–78 (2007).

    CAS  PubMed  PubMed Central  Google Scholar 

  84. Bershtein, S., Goldin, K. & Tawfik, D. S. Intense neutral drifts yield robust and evolvable consensus proteins. J. Mol. Biol. 379, 1029–1044 (2008).

    CAS  PubMed  Google Scholar 

  85. Bloom, J. D. et al. Evolution favors protein mutational robustness in sufficiently large populations. BMC Biol. 5, 29 (2007).

    PubMed  PubMed Central  Google Scholar 

  86. Landwehr, M., Carbone, M., Otey, C. R., Li, Y. & Arnold, F. H. Diversification of catalytic function in a synthetic family of chimeric cytochrome P450s. Chem. Biol. 14, 269–278 (2007).

    CAS  PubMed  PubMed Central  Google Scholar 

  87. Li, Y. et al. A diverse family of thermostable cytochrome P450s created by recombination of stabilizing fragments. Nature Biotech. 25, 1051–1056 (2007).

    CAS  Google Scholar 

  88. Counago, R., Chen, S. & Shamoo, Y. In vivo molecular evolution reveals biophysical origins of organismal fitness. Mol. Cell 22, 441–449 (2006).

    CAS  PubMed  Google Scholar 

  89. Wang, X., Minasov, G. & Shoichet, B. K. Evolution of an antibiotic resistance enzyme constrained by stability and activity trade-offs. J. Mol. Biol. 320, 85–95 (2002). An excellent example of stability-mediated epistasis.

    CAS  PubMed  Google Scholar 

  90. Tokuriki, N. & Tawfik, D. S. Stability effects of mutations and protein evolvability. Curr. Opin. Struct. Biol. 19, 596–604 (2009).

    CAS  PubMed  Google Scholar 

  91. Bloom, J. D., Arnold, F. H. & Wilke, C. O. Breaking proteins with mutations: threads and thresholds in evolution. Mol. Syst. Biol. 3, 76 (2007).

    PubMed  PubMed Central  Google Scholar 

  92. Gupta, R. D. & Tawfik, D. S. Directed enzyme evolution via small and effective neutral drift libraries. Nature Methods 5, 939–942 (2008).

    CAS  PubMed  Google Scholar 

  93. Somero, G. N. Proteins and temperature. Annu. Rev. Physiol. 57, 43–68 (1995).

    CAS  PubMed  Google Scholar 

  94. Fields, P. A. Protein function at thermal extremes: balancing stability and flexibility. Comp. Biochem. Physiol. A. 129, 417–431 (2001).

    CAS  Google Scholar 

  95. Giver, L., Gershenson, A., Freskgard, P. O. & Arnold, F. H. Directed evolution of a thermostable esterase. Proc. Natl Acad. Sci. USA 95, 12809–12813 (1998).

    CAS  PubMed  PubMed Central  Google Scholar 

  96. Tokuriki, N., Stricher, F., Serrano, L. & Tawfik, D. S. How protein stability and new functions trade off. PLoS Comput. Biol. 4, e1000002 (2008).

    PubMed  PubMed Central  Google Scholar 

  97. Peisajovich, S. G. & Tawfik, D. S. Protein engineers turned evolutionists. Nature Methods 4, 991–994 (2007).

    CAS  PubMed  Google Scholar 

  98. Dean, A. M. & Thornton, J. W. Mechanistic approaches to the study of evolution: the functional synthesis. Nature Rev. Genet. 8, 675–688 (2007).

    CAS  PubMed  Google Scholar 

  99. Miller, S. P., Lunzer, M. & Dean, A. M. Direct demonstration of an adaptive constraint. Science 314, 458–461 (2006).

    CAS  PubMed  Google Scholar 

  100. Earl, D. J. & Deem, M. W. Evolvability is a selectable trait. Proc. Natl Acad. Sci. USA 101, 11531–11536 (2004).

    CAS  PubMed  PubMed Central  Google Scholar 

  101. Ellington, A. D. & Szostak, J. W. In vitro selection of RNA molecules that bind specific ligands. Nature 346, 818–822 (1990).

    CAS  PubMed  Google Scholar 

  102. Robertson, D. & Joyce, G. Selection in vitro of an RNA enzyme that specifically cleaves single-stranded DNA. Nature 344, 467–468 (1990).

    CAS  PubMed  Google Scholar 

  103. Tuerk, C. & Gold, L. Systematic evolution of ligands by exponential enrichment: RNA ligands to bacteriophage T4 DNA polymerase. Science 249, 505–510 (1990).

    CAS  PubMed  Google Scholar 

  104. Lincoln, T. & Joyce, G. Self-sustained replication of an RNA enzyme. Science 323, 1229–1232 (2009).

    CAS  PubMed  PubMed Central  Google Scholar 

  105. Chatterjee, R. & Yuan, L. Directed evolution of metabolic pathways. Trends Biotech. 24, 28–38 (2006).

    CAS  Google Scholar 

  106. Schmidt-Dannert, C. Directed evolution of single proteins, metabolic pathways, and viruses. Biochemistry 40, 13125–13136 (2001).

    CAS  PubMed  Google Scholar 

  107. Collins, C. H., Leadbetter, J. R. & Arnold, F. H. Dual selection enhances the signaling specificity of a variant of the quorum-sensing transcriptional activator LuxR. Nature Biotech. 24, 708–712 (2006).

    CAS  Google Scholar 

  108. Haseltine, E. L. & Arnold, F. H. Synthetic gene circuits: design with directed evolution. Annu. Rev. Biophys. Biomol. Struct. 36, 1–19 (2007).

    CAS  PubMed  Google Scholar 

  109. Feng, X. et al. Optimizing genetic circuits by global sensitivity analysis. Biophys. J. 87, 2195–2202 (2004).

    CAS  PubMed  PubMed Central  Google Scholar 

  110. Gavrilets, S. Evolution and speciation on holey adaptive landscapes. Trends Ecol. Evol. 12, 307–312 (1997).

    CAS  PubMed  Google Scholar 

  111. Glieder, A., Farinas, E. T. & Arnold, F. H. Laboratory evolution of a soluble, self-sufficient, highly active alkane hydroxylase. Nature Biotech. 20, 1135–1139 (2002).

    CAS  Google Scholar 

  112. Peters, M. W., Meinhold, P., Glieder, A. & Arnold, F. H. Regio- and enantioselective alkane hydroxylation with engineered cytochromes P450 BM-3. J. Am. Chem. Soc. 125, 13442–13450 (2003).

    CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The authors acknowledge support from the U.S. Army Research Office, Department of Energy, National Science Foundation and the National Institutes of Health.

Author information

Authors and Affiliations

Authors

Related links

Related links

DATABASES

PDB

 3CBD

FURTHER INFORMATION

Frances H. Arnold's homepage

Glossary

Evolvability

A measure of the ability of a protein to adapt in response to mutation and selective pressure; for example, the frequency of beneficial mutations.

Directed evolution

The application of iterative rounds of mutation and artificial selection or screening to alter the properties of biological molecules and systems

Fitness landscape

The mapping from genotype (target sequence) to phenotype (fitness; as measured in the experiment). Directed evolution is an optimization on the fitness landscape.

Recombination

A procedure whereby chimeric proteins are created by recombining sequence fragments from different (usually evolutionarily, and therefore structurally, related) parent proteins.

Protein sequence space

The space of all possible protein sequences arranged such that sequences that differ by single mutations are neighbours.

Adaptive walk

An uphill trajectory on the fitness landscape, in which no deleterious mutations are accepted.

Neutral drift

The accumulation of mutations that have little or no effect on a particular protein function. These mutations, however, might affect other properties.

Neutral network

An interconnected network of functionally neutral sequences.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Romero, P., Arnold, F. Exploring protein fitness landscapes by directed evolution. Nat Rev Mol Cell Biol 10, 866–876 (2009). https://doi.org/10.1038/nrm2805

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1038/nrm2805

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