Skip to main content

Introducing Biomimomics: Combining Biomimetics and Comparative Genomics for Constraining Organismal and Technological Complexity

  • Conference paper
  • First Online:
Biomimetic and Biohybrid Systems (Living Machines 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10384))

Included in the following conference series:

Abstract

Integrated genomics and transcriptomics data, together with the analysis of total protein and metabolite content of a given cell, is providing the basis for complex, multi-scale and dynamic models of cellular metabolism in health and disease. Accordingly, the functional triad of genomics, transcriptomics and metabolomics is regarded as a foundational methodology in systems biology. Opening up a never-before seen vista into the organization and dynamical evolution of cellular life at multiple scales of complexity, Omics-approaches are poised to facilitate discoveries in biomimetic design processes. In the following, the proposed merger of biomimetics with Omics-techniques will be called “Biomimomics”. Focusing on comparative genomics, this paper will outline how ongoing work in the field is revising our understanding of early nervous system and synapse evolution in animals and, at the same time, promises to give insights into truly, i.e. evolutionarily-based, biomimetic neuromorphic computing architectures. We will show how a new kind of modular workflow based on a “Biomimomic Traceability Matrix” (BTM) can structure and facilitate both biomimetic design solutions and the discovery of universal principles underlying complexifying biological and technological systems.

“The burgeoning fields of genomic and metagenomic sequencing and bioinformatics are based on the notion that informational bits are literally vital.”

From Matter to Life [1]

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

References

  1. Walker, S.I., Davies, P.C.W., Ellis, G.F.R. (eds.): From Matter to Life: Information and Causality, p. 1. Cambridge University Press, Cambridge (2017)

    Book  Google Scholar 

  2. Huerta-Cepas, J., et al.: eggNOG 4.5: a hierarchical orthology framework with improved functional annotations for eukaryotic, prokaryotic and viral sequences. Nucleic Acids Res. 44(D1), D286–D293 (2016)

    Article  Google Scholar 

  3. Koonin, E.V.: Comparative genomics, minimal gene-sets and the last universal common ancestor. Nat. Rev. Microbiol. 1(2), 127–136 (2003)

    Article  MathSciNet  Google Scholar 

  4. Csete, M.E., Doyle, J.C.: Reverse engineering of biological complexity. Science 295(5560), 1664–1669 (2002)

    Article  Google Scholar 

  5. Koonin, E.V.: The logic of chance: the nature and origin of biological evolution, xii edn, p. 516. Pearson Education, Upper Saddle River (2012)

    Google Scholar 

  6. Liebeskind, B.J., et al.: Complex homology and the evolution of nervous systems. Trends Ecol. Evol. 31(2), 127–135 (2016)

    Article  Google Scholar 

  7. Weiss, J.R., Smythe, W.D., Wenwen, L.: Science traceability. In: 2005 IEEE Aerospace Conference (2005)

    Google Scholar 

  8. Flores Martinez, C.L.: Convergent evolution and the search for biosignatures within the solar system and beyond. Acta Astronaut. 116, 394–402 (2015)

    Article  Google Scholar 

  9. Konstantinidis, K., et al.: A lander mission to probe subglacial water on Saturn׳s moon enceladus for life. Acta Astronaut. 106, 63–89 (2015)

    Article  Google Scholar 

  10. Moroz, L.L., et al.: The ctenophore genome and the evolutionary origins of neural systems. Nature 510(7503), 109–114 (2014)

    Article  Google Scholar 

  11. Albertin, C.B., et al.: The octopus genome and the evolution of cephalopod neural and morphological novelties. Nature 524(7564), 220–224 (2015)

    Article  Google Scholar 

  12. Kapheim, K.M., et al.: Social evolution. Genomic signatures of evolutionary transitions from solitary to group living. Science 348(6239), 1139–1143 (2015)

    Article  Google Scholar 

  13. Verschure, P.F.: Synthetic consciousness: the distributed adaptive control perspective. Philos. Trans. R. Soc. Lond. B Biol. Sci. 371(1701), 20150448 (2016)

    Article  Google Scholar 

  14. Feinberg, T.E., Mallatt, J.: The evolutionary and genetic origins of consciousness in the Cambrian period over 500 million years ago. Frontiers Psychol. 4, 667 (2013)

    Article  Google Scholar 

  15. Bronfman, Z.Z., Ginsburg, S., Jablonka, E.: The transition to minimal consciousness through the evolution of associative learning. Frontiers Psychol. 7, 1954 (2016)

    Article  Google Scholar 

  16. Petralia, R.S., et al.: The diversity of spine synapses in animals. NeuroMol. Med. 18, 497 (2016)

    Article  Google Scholar 

  17. Greer, D.S.: Neurotransmitter fields. In: Sá, J.M., Alexandre, L.A., Duch, W., Mandic, D. (eds.) ICANN 2007. LNCS, vol. 4669, pp. 19–28. Springer, Heidelberg (2007). doi:10.1007/978-3-540-74695-9_3

    Chapter  Google Scholar 

  18. Greer, D.S., Tuceryan, M.: Neurotransmitter Field Theory: A Composite Continuous and Discrete Model 2010. Department of Computer and Information Science, Purdue University. http://cs.iupui.edu/~tuceryan/tech-reports/TR-CIS-0315-10.pdf

  19. Greer, D.S.: Images as symbols: an associative neurotransmitter-field model of the brodmann areas. In: Gavrilova, M.L., Tan, C.J.K., Wang, Y., Chan, K.C.C. (eds.) Transactions on Computational Science V. LNCS, vol. 5540, pp. 38–68. Springer, Heidelberg (2009). doi:10.1007/978-3-642-02097-1_3

    Chapter  Google Scholar 

  20. Aur, D.: From neuroelectrodynamics to thinking machines. Cogn. Comput. 4(1), 4–12 (2012)

    Article  Google Scholar 

  21. Sole, R.: The major synthetic evolutionary transitions. Philos. Trans. R. Soc. Lond. B Biol. Sci. 371(1701), 20160175 (2016)

    Article  Google Scholar 

  22. Moses, M., et al.: Energy and time determine scaling in biological and computer designs. Philos. Trans. R. Soc. Lond. B Biol. Sci. 371(1701), 20150446 (2016)

    Article  Google Scholar 

  23. Newman, S.A.: Form and function remixed: developmental physiology in the evolution of vertebrate body plans. J. Physiol. 592(11), 2403–2412 (2014)

    Article  Google Scholar 

  24. Baluška, F., Levin, M.: On having no head: cognition throughout biological systems. Frontiers Psychol. 7, 902 (2016)

    Google Scholar 

  25. Vincent, J.F., et al.: Biomimetics: its practice and theory. J. R. Soc. Interface 3(9), 471–482 (2006)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Claudio L. Flores Martinez .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Flores Martinez, C.L. (2017). Introducing Biomimomics: Combining Biomimetics and Comparative Genomics for Constraining Organismal and Technological Complexity. In: Mangan, M., Cutkosky, M., Mura, A., Verschure, P., Prescott, T., Lepora, N. (eds) Biomimetic and Biohybrid Systems. Living Machines 2017. Lecture Notes in Computer Science(), vol 10384. Springer, Cham. https://doi.org/10.1007/978-3-319-63537-8_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-63537-8_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63536-1

  • Online ISBN: 978-3-319-63537-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics