Skip to main content
Log in

Approximating Mexican highways with slime mould

  • Published:
Natural Computing Aims and scope Submit manuscript

Abstract

Plasmodium of Physarum polycephalum is a single cell visible by unaided eye. During its foraging behavior the cell spans spatially distributed sources of nutrients with a protoplasmic network. The geometrical structure of the protoplasmic networks allows the plasmodium to optimize transport of nutrients between remote parts of its body. Assuming major Mexican cities are sources of nutrients that need to be distributed across Mexico, how much does the structure of the Physarum protoplasmic network correspond to the structure of Mexican Federal highway network? To address the issue we undertook a series of laboratory experiments with living P. polycephalum. We represent geographical locations of major cities (19 locations) by oat flakes, place a piece of plasmodium in the area corresponding to Mexico city, record the plasmodium’s foraging behavior and extract topology of the resulting nutrient transport networks. Results of our experiments show that the protoplasmic network formed by Physarum is isomorphic, subject to limitations imposed, to a network of principal highways. Ideas and results in the paper may contribute towards future developments in bio-inspired road planning.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Notes

  1. Order: Physarales, subclass: Myxogastromycetidae, class: Myxomecetes.

  2. http://www.publicpurpose.com/hwy-worldmotorway.htm.

  3. National Institute of Statistical and Geographic (INEGI Spanish abbreviation). http://inegi.org.mx/.

  4. Asda’s Smart Price Porridge Oats.

  5. Source: Guía Roji “Por las Carreteras de México 2011”, 17a. Edition. Web site: http://www.guiaroji.com.mx.

  6. You can see an approximation of these simulations from http://www.youtube.com/watch?v=OmwtPR2cV-4.

References

  • Achenbach F, Weisenseel MH (1981) Ionic currents traverse the slime mould Physarum. Cell Biol Int Rep 5:375–379

    Google Scholar 

  • Adamatzky A (2007) From reaction-diffusion to Physarum computing. Invited talk at Los Alamos Lab workshop “Unconventional Computing: Quo Vadis?” March 2007, Santa Fe, NM

  • Adamatzky A (2009a) Developing proximity graphs by Physarum polycephalum: does the plasmodium follow the Toussaint hierarchy? Parallel Process Lett 19:105–127

    Google Scholar 

  • Adamatzky A (2009b) If BZ medium did spanning trees these would be the same trees as Physarum built. Phys Lett A 373:952–956

    Google Scholar 

  • Adamatzky A (2009c) Hot ice computer. Phys Lett A 374:264–271

    Article  Google Scholar 

  • Adamatzky A (2010a) Physarum machines: making computers from slime mould. World Scientific, Hackensack

    Book  Google Scholar 

  • Adamatzky A (2010b) Routing Physarum with repellents. Eur Phys J E Soft Matter Biol Phys 31:403–410

    Article  Google Scholar 

  • Adamatzky A, Jones J (2010) Road planning with slime mould: if Physarum built motorways it would route M6/M74 through Newcastle. Int J Bifurcat Chaos (in print). http://arxiv.org/abs/0912.3967

  • Adamatzky A, De Lacy Costello B, Asai T (2005) Reaction-diffusion computers. Elsevier, Amsterdam

    Google Scholar 

  • Billiot JM, Corset F, Fontenas E (2010) Continuum percolation in the relative neighborhood graph. arXiv:1004.5292

  • Carlile MJ (1970) Nutrition and chemotaxis in the myxomycete Physarum polycephalum: the effect of carbohydrates on plasmodium. J Gen Microbiol 63:221–226

    Google Scholar 

  • Chet I, Naveh A, Henis Y (1977) Chemotaxis of Physarum polycephalum towards carbohydrates, amino acids and nucleotides. J Gen Microbiol 102:145–148

    Google Scholar 

  • Coman RD (1940) Additional observations on positive and negative chemotaxis. Experiments with a myxomycete. Arch Pathol 29:220–228

    Google Scholar 

  • Dorigo M, Stutzle T (2004) Ant colony optimization. MIT Press, Cambridge

    Book  MATH  Google Scholar 

  • Gabriel KR, Sokal RR (1969) A new statistical approach to geographic variation analysis. Syst Zool 18:259–278

    Article  Google Scholar 

  • Jaromczyk JW, Toussaint GT (1992) Relative neighborhood graphs and their relatives. Proc IEEE 80:1502–1517

    Article  Google Scholar 

  • Jarrett TC, Ashton DJ, Fricker M, Johnson NF (2006) Interplay between function and structure in complex networks. Phys Rev E 74:026116

    Article  MathSciNet  Google Scholar 

  • Kincaid RL, Mansour E (1978) Chemotaxis toward carbohydrates and amino acids in Physarum polycephalum. Exp Cell Res 116:377–385

    Article  Google Scholar 

  • Kirkpatrick DG, Radke JD (1985) A framework for computational morphology. In: Toussaint G (ed) Computational geometry. Elsevier, Amsterdam, pp 217–248

  • Knowles DJC, Carlile MJ (1978) The chemotactic response of plasmodia of the myxomycete Physarum polycephalum to sugars and related compounds. J Gen Microbiol 108:17–25

    Google Scholar 

  • Li X-Y (2004) Application of computation geometry in wireless networks. In: Cheng X, Huang X, Du D-Z (eds) Ad hoc wireless networking. Kluwer Academic Publishers, Dordrecht, pp 197–264

    Google Scholar 

  • Matula DW, Sokal RR (1984) Properties of Gabriel graphs relevant to geographical variation research and the clustering of points in the same plane. Geogr Anal 12:205–222

    Article  Google Scholar 

  • McClory A, Coote JG (1985) The chemotactic response of the myxomycete Physarum polyhcepalum to amino acids, cyclic nucleotides and folic acid. FEMS Microbiol Lett 26:195–200

    Article  Google Scholar 

  • Muhammad RB (2007) A distributed graph algorithm for geometric routing in ad hoc wireless networks. J Netw 2:49–57

    Google Scholar 

  • Nakagaki T, Yamada H, Ueda T (1999) Modulation of cellular rhythm and photoavoidance by oscillatory irradiation in the Physarum plasmodium. Biophys Chem 82:23–28

    Article  Google Scholar 

  • Nakagaki T, Yamada H, Toth A (2001) Path finding by tube morphogenesis in an amoeboid organism. Biophys Chem 92:47–52

    Article  Google Scholar 

  • Reyes DR, Ghanem MG, George M (2002) Glow discharge in micro fluidic chips for visible analog computing. Lab Chip 1:113–116

    Article  Google Scholar 

  • Saigusa T, Tero A, Nakagaki T, Kuramoto Y (2008) Amoebae anticipate periodic events. Phys Rev Lett 100:018101

    Google Scholar 

  • Santi P (2005) Topology control in wireless ad hoc and sensor networks. Wiley, New York

    Book  Google Scholar 

  • Schumann A, Adamatzky A (2009) Physarum spatial logic. In: Proceedings of the first international symposium on symbolic and numeric algorithms for scientific computing, September 26–29, 2009. Timisoara, Romania

  • Shirakawa T, Adamatzky A, Gunji Y-P, Miyake Y (2009) On simultaneous construction of Voronoi diagram and Delaunay triangulation by Physarum polycephalum. Int J Bifurcat Chaos 19:3109–3117

    Google Scholar 

  • Song W-Z, Wang Y, Li X-Y (2004) Localized algorithms for energy efficient topology in wireless ad hoc networks. In: Proceedings of the MobiHoc, May 24–26, 2004. Roppongi, Japan

  • Sridharan M, Ramasamy AMS (2010) Gabriel graph of geomagnetic Sq variations. Acta Geophys. doi:10.2478/s11600-010-0004-y

  • Tero A, Kobayashi R, Nakagaki T (2006) Physarum solver: a biologically inspired method of road-network navigation. Physica A 363:115–119

    Article  Google Scholar 

  • Toussaint GT (1980) The relative neighborhood graph of a finite planar set. Pattern Recognit 12:261–268

    Article  MathSciNet  MATH  Google Scholar 

  • Tsuda S, Aono M, Gunji Y-P (2004) Robust and emergent Physarum logical-computing. Biosystems 73:45–55

    Article  Google Scholar 

  • Tsuda S, Zauner K-P, Gunji Y-P (2007) Robot control with bio-logical cells. BioSystems 87:215–223

    Article  Google Scholar 

  • Ueda T, Muratsugu M, Kurihara K, Kobatake Y (1976) Chemotaxis in Physarum polycephalum: effects of chemicals on isometric tension of the plasmodial strand in relation to chemotactic movement. Exp Cell Res 100:337–344

    Article  Google Scholar 

  • Wan P-J, Yi C-W (2007) On the longest edge of Gabriel graphs in wireless ad hoc networks. IEEE Trans Parallel Distrib Syst 18:111–125

    Article  Google Scholar 

  • Watanabe D (2005) A study on analyzing the road network pattern using proximity graphs. J City Plan Inst Jpn 40:133–138

    Google Scholar 

  • Watanabe D (2008) Evaluating the configuration and the travel efficiency on proximity graphs as transportation networks. Forma 23:81–87

    MathSciNet  Google Scholar 

Download references

Acknowledgments

We are grateful to referees for their helpful comments and extensive editing of the text. Genaro J. Martínez thanks DGAPA-UNAM and EPSRC for support. Authors express their gratitude to Mexican government and INEGI for providing the last census information and to Natalia Volkow Fernández, and Guía Roji for permission to use additional road maps.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andrew Adamatzky.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Adamatzky, A., Martínez, G.J., Chapa-Vergara, S.V. et al. Approximating Mexican highways with slime mould. Nat Comput 10, 1195–1214 (2011). https://doi.org/10.1007/s11047-011-9255-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11047-011-9255-z

Keywords

Navigation