Abstract
Finding ways to engineer morphogenesis in biological systems, to direct the development of a multicellular organism according to desired specifications, will require both high-level understanding of organizing principles in such systems and low-level understanding of how basic tools can be reliably implemented in real cells. Past work has assumed low-level capabilities appropriate to computing agents but not necessarily to biology. Here I discuss potential ways of implementing low-level primitives based on capabilities for which evidence exists in biological systems, with the goal of developing a basis for engineering developmental processes that will be realizable in wetware. I focus on the use of biologically realistic morphogen gradients to produce structures of desired size, provide positional information, and trigger genetic cascades that lead to the growth of more complex structures.
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References
Doursat, R.: Organically grown architectures: Creating decentralized, autonomous systems by embryomorphic engineering. In: Würtz, R.P. (ed.) Organic Computing, pp. 167–200. Springer, Heidelberg (2008)
Doursat, R.: Facilitating evolutionary innovation by developmental modularity and variability. In: Generative & Developmental Systems Workshop at 18th Genetic & Evolutionary Computation Conference, Montreal, Canada (July 2009)
Dyson, S., Gurdon, J.B.: The interpretation of position in a morphogen gradient as revealed by occupancy of activin receptors. Cell 93, 557–568 (1998)
Eggenberger, P.: Evolving morphologies of simulated 3d organisms based on differential gene expression. In: Husbands, P., Harvey, I. (eds.) Proc. 4th European Conference on Artificial Life (1997)
Federici, D., Downing, K.: Evolution and development of a multicellular organism: Scalability, resilience, and neutral complexification. Artificial Life 12, 381–409 (2006)
Gilcrease, M.Z.: Integrin signaling in epithelial cells. Cancer Lett. 247, 1–25 (2007)
Jiang, J., Levine, M.: Binding affinities and cooperative interactions with bHLH activators delimit threshold responses to the dorsal gradient morphogen. Cell 72, 741–752 (1993)
Klavins, E., Ghrist, R., Lipsky, D.: A grammatical approach to self-organizing robotic systems. IEEE Trans. Autom. Control 51(6), 949–962 (2006)
Lander, A.D.: Morpheus unbound: Reimagining the morphogen gradient. Cell 128, 245–256 (2007)
Lander, A.D., Nie, Q., Wan, F.Y.M.: Do morphogen gradients arise by diffusion? Developmental Cell 2, 785–796 (2002)
Lawrence, P.A.: The Making of a Fly. Blackwell Science Ltd., Malden (1992)
Martz, E., Steinberg, M.S.: The role of cell-cell contact in “contact” inhibition of cell division: A review and new evidence. J. Cell. Physiol. 79, 189–210 (1971)
Nagpal, R.: Programmable Self-Assembly: Constructing Global Shape Using Biologically-Inspired Local Interactions and Origami Mathematics. Ph.D. thesis, Massachusetts Institute of Technology (2001)
Spirov, A., Fahmy, K., Schneider, M., Frei, E., Noll, M., Baumgartner, S.: Formation of the bicoid morphogen gradient: an mRNA gradient dictates the protein gradient. Develoment 136, 605–614 (2009)
Strutt, D.: Organ shape: Controlling oriented cell division. Current Biology 15, R758–R759 (2005)
Werfel, J.: Anthills Built to Order: Automating Construction with Artificial Swarms. Ph.D. thesis, Massachusetts Institute of Technology (2006)
Wolpert, L.: Positional information and the spatial pattern of cellular differentiation. J. Theol. Biol. 25(1), 1–47 (1969)
Yim, M., Shen, W.M., Salemi, B., Rus, D., Moll, M., Lipson, H., Klavins, E., Chirikjian, G.S.: Modular self-reconfigurable robot systems. IEEE Robotics & Automation Magazine, 2–11 (March 2007)
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Werfel, J. (2010). Biologically Realistic Primitives for Engineered Morphogenesis. In: Dorigo, M., et al. Swarm Intelligence. ANTS 2010. Lecture Notes in Computer Science, vol 6234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15461-4_12
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DOI: https://doi.org/10.1007/978-3-642-15461-4_12
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