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Synthetic Biology as an Engineering Science? Analogical Reasoning, Synthetic Modeling, and Integration

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Part of the book series: The Philosophy of Science in a European Perspective ((PSEP,volume 4))

Abstract

Synthetic biology has typically been understood as a kind of engineering science in which engineering principles are applied to biology. The engineering orientation of synthetic biology has also received a fair deal of criticism. This paper presents an alternative reading of synthetic biology focusing on the basic science oriented branch of synthetic biology. We discuss the practice of synthetic modeling and how it has made synthetic biologists more aware of some fundamental differences between the functioning of engineered artifacts and biological organisms. As the recent work on the concepts of noise and modularity shows, synthetic biology is in the process of becoming more “biology inspired”.

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Notes

  1. 1.

    Church, G. M., “From Systems Biology to Synthetic Biology”, in: Molecular Systems Biology 1, 2005.0032, doi:10.1038/msb4100007, Published online: 29 March 2005.

  2. 2.

    Khalil, S. A. and Collins, J. J., “Synthetic Biology: Applications Come to Age”, in: Nature Reviews Genetics 11, 2010, pp. 367–379.

  3. 3.

    Calvert, J. and Fujimura, J., “Calculating Life? Duelling Discourses in Interdisciplinary Systems Biology”, in: Studies in History and Philosophy of Biological and Biomedical Sciences, 42, 2011, p. 160.

  4. 4.

    One of the authors spent four years in the Elowitz lab at the California Institute of Technology observing the daily research practice in this lab.

  5. 5.

    Ro, D. K., Paradise, E., Quellet, M., Fisher, K., Newman. K., Ndgundu, J., Ho, K., Eachus, R., Ham, T., Kirby, J., Chang M. C. Y., Withers, S., Shiba, Y., Sarpong, R. and Keasling, J., “Production of the Antimalarial Drug Precursor Artemisinic Acid in Engineered Yeast”, in: Nature 440, 2006, pp. 940–943.

  6. 6.

    Bond-Watts, B. B., Bellerose, R. J. and Chang, M. C., “Enzyme Mechanism as a Kinetic Control Element for Designing Synthetic Biofuel Pathways”, in: Nature Chemical Biology 7, 2011, pp. 222–227.

  7. 7.

    Anderson, J. C., Clarke, E. J., Arkin, P. A. and Voigt, C. A., “Environmentally Controlled Invasion of Cancer Cells by Engineered Bacteria”, in: Journal of Molecular Biology, 355, 2006, pp. 619–627.

  8. 8.

    E.g. Elowitz M. B. and Leibler, S., “A Synthetic Oscillatory Network of Transcriptional Regulators”, in: Nature 403, 6767, 2000, pp. 335–358; Gardner, T. S., Cantor, C. R. and Collins, J. J., “Construction of a Toggle Switch in Escherichia coli”, in: Nature 403, 6767, 2000, pp. 339–342.

  9. 9.

    Hartwell, H. L., Hopfield, J. J., Leibler, S. and Murray, W. A., “From Molecular to Modular Cell Biology”, in: Nature 402, 1999, C47–C52.

  10. 10.

    Hartwell, H. L., Hopfield, J. J., Leibler, S. and Murray, W. A., “From Molecular to Modular Cell Biology”, in: Nature 402, 1999, C47.

  11. 11.

    Ibid.

  12. 12.

    Ibid.

  13. 13.

    Ibid.

  14. 14.

    Jacob, F., and Monod, J., “Genetic Regulatory Mechanisms in the Synthesis of Proteins”, in: Journal of Molecular Biology 3, 1961, pp. 318–356.

  15. 15.

    To which extent biological organisms gain control over their functioning by self-organization arising from interacting oscillations is an open question. Living systems do also rely on such decoupled controllers as genes (see Bechtel, W. and Abrahamsen, A., “Complex Biological Mechanisms: Cyclic, Oscillatory, and Autonomous”, in: C. A. Hooker (Ed.), Philosophy of Complex Systems. Handbook of the Philosophy of Science, vol. 10. Oxford: Elsevier 2011, pp. 257–285, for an excellent discussion on the role of different oscillations in biological systems).

  16. 16.

    Goodwin, B., Temporal Organization in Cells. London: Academic Press 1963, p. 5.

  17. 17.

    See e.g. Bechtel, W. and Abrahamsen, A., “Dynamic Mechanistic Explanation: Computational Modeling of Circadian Rhythms as an Exemplar for Cognitive Science”, in: Studies in History and Philosophy of Science 41, 2010, pp. 321–333; Bechtel, W. and Abrahamsen, A., “Complex Biological Mechanisms: Cyclic, Oscillatory, and Autonomous”, in: C. A. Hooker (Ed.), Philosophy of Complex Systems. Handbook of the Philosophy of Science, vol. 10. Oxford: Elsevier 2011, pp. 257–285.

  18. 18.

    See e.g. Strogatz, S., Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering. Cambridge (Mass.): Perseus Books, 1994.

  19. 19.

    Sprinzak, D. and Elowitz, M. B., “Reconstruction of Genetic Circuits”, in: Nature 438, 7067, 2005, pp. 443–438.

  20. 20.

    Elowitz M. B. and Leibler, S., “A Synthetic Oscillatory Network of Transcriptional Regulators”, in: Nature 403, 6767, 2000, pp. 335–358.

  21. 21.

    Ibid., p. 336.

  22. 22.

    In the case of the Repressilator the order in which the genes are connected to each other, turned out to be crucial, too.

  23. 23.

    Neildez-Nguyen, T. M. A., Parisot, A., Vignal, C., Rameau, P., Stockholm, D., Picot, J., Allo, V., Le Bec, C., Laplace, C. and Paldi, A., “Epigenetic Gene Expression Noise and Phenotypic Diversification of Clonal Cell Populations”, in: Differentiation 76, 1, 2008, pp. 33–40.

  24. 24.

    Çagatay, T., Turcotte. M., Elowitz M. B., Garcia-Ojalvo. J. and Süel, G. M., “Architecture-Dependent Noise Discriminates Functionally Analogous Differentiation Circuits”, in: Cell 139, 3, 2009, pp. 512–522.

  25. 25.

    Eldar, A. and Elowitz, M. B., “Functional Roles for Noise in Genetic Circuits”, in: Nature 467, 2010, pp. 167–173.

  26. 26.

    Nandagopal, N. and Elowitz, M. B., “Synthetic Biology: Integrated Gene Circuits”, in: Science 333, 2011, pp. 1244–1248.

  27. 27.

    Stricker, J., Cookson, S., Bennet, M. R., Mather, W. H., Tsimring, L. S. and Hasty, J., “A Fast, Robust and Tunable Synthetic Gene Oscillator”, in: Nature 456, 2008, pp. 516-519.

  28. 28.

    Nandagopal, N. and Elowitz, M. B., “Synthetic Biology: Integrated Gene Circuits”, in: Science 333, 2011, pp. 1244–1248.

  29. 29.

    Ibid. p. 1244.

  30. 30.

    Ibid. p. 1244.

  31. 31.

    See e.g. Çagatay, T., Turcotte. M., Elowitz M. B., Garcia-Ojalvo. J. and Süel, G. M., “Architecture-Dependent Noise Discriminates Functionally Analogous Differentiation Circuits”, in: Cell 139, 3, 2009, pp. 512–522.

  32. 32.

    See e.g. http://wyss.harvard/edu/viewpage/264/a-new-model. Accessed at 5 January 2012.

  33. 33.

    Ruder, W. C., Lu, T. and Collins, J. J., “Synthetic Biology Moving into the Clinic”, in: Science 333, 2011, p. 1251.

  34. 34.

    O’Malley and Soyer argue that systems and synthetic biology provide good examples of the various kinds of integrative pursuits taking place in contemporary science, see O’Malley, M. A. and Soyer, O. S., “The Roles of Integration in Molecular Systems Biology”, in: Studies in History and Philosophy of Biological and Biomedical Sciences, 2011, pp. 58-68.

  35. 35.

    Ruder et al., ibid. p. 1249.

  36. 36.

    Ibid.

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Correspondence to Tarja Knuuttila .

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Knuuttila, T., Loettgers, A. (2013). Synthetic Biology as an Engineering Science? Analogical Reasoning, Synthetic Modeling, and Integration. In: Andersen, H., Dieks, D., Gonzalez, W., Uebel, T., Wheeler, G. (eds) New Challenges to Philosophy of Science. The Philosophy of Science in a European Perspective, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5845-2_14

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