Skip to main content

Biologically Realistic Primitives for Engineered Morphogenesis

  • Conference paper
Book cover Swarm Intelligence (ANTS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6234))

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 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)

    Chapter  Google Scholar 

  2. 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)

    Google Scholar 

  3. 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)

    Article  Google Scholar 

  4. 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)

    Google Scholar 

  5. Federici, D., Downing, K.: Evolution and development of a multicellular organism: Scalability, resilience, and neutral complexification. Artificial Life 12, 381–409 (2006)

    Article  Google Scholar 

  6. Gilcrease, M.Z.: Integrin signaling in epithelial cells. Cancer Lett. 247, 1–25 (2007)

    Article  Google Scholar 

  7. 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)

    Article  Google Scholar 

  8. Klavins, E., Ghrist, R., Lipsky, D.: A grammatical approach to self-organizing robotic systems. IEEE Trans. Autom. Control 51(6), 949–962 (2006)

    Article  MathSciNet  Google Scholar 

  9. Lander, A.D.: Morpheus unbound: Reimagining the morphogen gradient. Cell 128, 245–256 (2007)

    Article  Google Scholar 

  10. Lander, A.D., Nie, Q., Wan, F.Y.M.: Do morphogen gradients arise by diffusion? Developmental Cell 2, 785–796 (2002)

    Article  Google Scholar 

  11. Lawrence, P.A.: The Making of a Fly. Blackwell Science Ltd., Malden (1992)

    Google Scholar 

  12. 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)

    Article  Google Scholar 

  13. Nagpal, R.: Programmable Self-Assembly: Constructing Global Shape Using Biologically-Inspired Local Interactions and Origami Mathematics. Ph.D. thesis, Massachusetts Institute of Technology (2001)

    Google Scholar 

  14. 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)

    Google Scholar 

  15. Strutt, D.: Organ shape: Controlling oriented cell division. Current Biology 15, R758–R759 (2005)

    Google Scholar 

  16. Werfel, J.: Anthills Built to Order: Automating Construction with Artificial Swarms. Ph.D. thesis, Massachusetts Institute of Technology (2006)

    Google Scholar 

  17. Wolpert, L.: Positional information and the spatial pattern of cellular differentiation. J. Theol. Biol. 25(1), 1–47 (1969)

    Article  Google Scholar 

  18. 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)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

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

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15461-4_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15460-7

  • Online ISBN: 978-3-642-15461-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics