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The simplicity of metazoan cell lineages

Abstract

Developmental processes are thought to be highly complex, but there have been few attempts to measure and compare such complexity across different groups of organisms1,2,3,4,5. Here we introduce a measure of biological complexity based on the similarity between developmental and computer programs6,7,8,9. We define the algorithmic complexity of a cell lineage as the length of the shortest description of the lineage based on its constituent sublineages9,10,11,12,13. We then use this measure to estimate the complexity of the embryonic lineages of four metazoan species from two different phyla. We find that these cell lineages are significantly simpler than would be expected by chance. Furthermore, evolutionary simulations show that the complexity of the embryonic lineages surveyed is near that of the simplest lineages evolvable, assuming strong developmental constraints on the spatial positions of cells and stabilizing selection on cell number. We propose that selection for decreased complexity has played a major role in moulding metazoan cell lineages.

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Figure 1: Example of the calculation of cell lineage complexity.
Figure 2: Metazoan embryonic cell lineages are simpler than expected by chance.
Figure 3: The simplicity of the ascidian cell lineage.
Figure 4: Metazoan cell lineages are not as simple as they could be.

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References

  1. Bonner, J. T. The Evolution of Complexity (Princeton Univ. Press, Princeton, 1988)

    MATH  Google Scholar 

  2. McShea, D. W. Metazoan complexity and evolution: Is there a trend? Evolution 50, 477–492 (1996)

    PubMed  Google Scholar 

  3. Carroll, S. B. Chance and necessity: The evolution of morphological complexity and diversity. Nature 409, 1102–1109 (2001)

    Article  ADS  CAS  Google Scholar 

  4. Arthur, W. The emerging conceptual framework of evolutionary developmental biology. Nature 415, 757–764 (2002)

    Article  ADS  CAS  Google Scholar 

  5. Minelli, A. The Development of Animal Form: Ontogeny, Morphology, and Evolution (Cambridge Univ. Press, Cambridge, UK, 2003)

    Book  Google Scholar 

  6. Apter, M. J. & Wolpert, L. Cybernetics and development. I. Information theory. J. Theor. Biol. 8, 244–257 (1965)

    Article  CAS  Google Scholar 

  7. Atlan, H. & Koppel, M. The cellular computer DNA: Program or data. Bull. Math. Biol. 52, 335–348 (1990)

    Article  CAS  Google Scholar 

  8. Szathmary, E., Jordan, F. & Pal, C. Molecular biology and evolution: Can genes explain biological complexity? Science 292, 1315–1316 (2001)

    Article  CAS  Google Scholar 

  9. Braun, V. et al. ALES: Cell lineage analysis and mapping of developmental events. Bioinformatics 19, 851–858 (2003)

    Article  CAS  Google Scholar 

  10. Papentin, F. On order and complexity. I. General considerations. J. Theor. Biol. 87, 421–456 (1980)

    Article  MathSciNet  Google Scholar 

  11. Sulston, J. E. & Horvitz, H. R. Post-embryonic cell lineages of the nematode Caenorhabditis elegans . Dev. Biol. 56, 110–156 (1977)

    Article  CAS  Google Scholar 

  12. Sternberg, P. W. & Horvitz, H. R. Postembryonic nongonadal cell lineages of the nematode Panagrellus redivivus: Description and comparison with those of Caenorhabditis elegans . Dev. Biol. 93, 181–205 (1982)

    Article  CAS  Google Scholar 

  13. Sulston, J. E., Schierenberg, E., White, J. G. & Thomson, J. N. The embryonic cell lineage of the nematode Caenorhabditis elegans . Dev. Biol. 100, 64–119 (1983)

    Article  CAS  Google Scholar 

  14. Brooks, D. R. & Wiley, E. O. Evolution as Entropy 2nd edn (Univ. Chicago Press, Chicago, 1988)

    Google Scholar 

  15. Schnabel, R., Hutter, H., Moerman, D. & Schnabel, H. Assessing normal embryogenesis in Caenorhabditis elegans using a 4D microscope: Variability of development and regional specification. Dev. Biol. 184, 234–265 (1997)

    Article  CAS  Google Scholar 

  16. Goodwin, B. C., Kauffman, S. & Murray, J. D. Is morphogenesis an intrinsically robust process? J. Theor. Biol. 163, 135–144 (1993)

    Article  CAS  Google Scholar 

  17. Raff, R. A. The Shape of Life (Univ. Chicago Press, Chicago, 1996)

    Book  Google Scholar 

  18. Bennett, C. H. in Complexity, Entropy and the Physics of Information (ed. Zurek, W. H.) 137–148 (Addison-Wesley, Redwood City, 1990)

    Google Scholar 

  19. Kauffman, S. A. The Origins of Order (Oxford Univ. Press, Oxford, 1993)

    Google Scholar 

  20. Geard, N. & Wiles, J. A gene network model for developing cell lineages. Artif. Life (in the press)

  21. Wagner, G. P. & Mezey, J. G. in Modularity in Development and Evolution (eds Schlosser, G. & Wagner, G. P.) 338–358 (Univ. Chicago Press, Chicago, 2004)

    Google Scholar 

  22. Nishida, H. Cell lineage analysis in ascidian embryos by intracellular injection of a tracer enzyme. III. Up to the tissue restricted stage. Dev. Biol. 121, 526–541 (1987)

    Article  CAS  Google Scholar 

  23. Houthoofd, W. et al. Embryonic cell lineage of the marine nematode Pellioditis marina . Dev. Biol. 258, 57–69 (2003)

    Article  CAS  Google Scholar 

  24. Goldstein, B. Induction of gut in Caenorhabditis elegans embryos. Nature 357, 255–257 (1992)

    Article  ADS  CAS  Google Scholar 

  25. Richardson, M. K. & Chipman, A. D. Developmental constraints in a comparative framework: a test case using variations in phalanx number during amniote evolution. J. Exp. Zool. B (Mol. Dev. Evol.) 296, 8–22 (2003)

    Article  Google Scholar 

  26. Fontana, W. & Schuster, P. Continuity in evolution: On the nature of transitions. Science 280, 1451–1455 (1998)

    Article  ADS  CAS  Google Scholar 

  27. Borgonie, G., Jacobsen, K. & Coomans, A. Embryonic lineage evolution in nematodes. Nematology 2, 65–69 (2000)

    Article  Google Scholar 

  28. Stadler, B. M., Stadler, P. F., Wagner, G. P. & Fontana, W. The topology of the possible: formal spaces underlying patterns of evolutionary change. J. Theor. Biol. 213, 241–274 (2001)

    Article  MathSciNet  CAS  Google Scholar 

  29. Sommer, R. J., Carta, L. K. & Sternberg, P. W. The evolution of cell lineage in nematodes. Development(Suppl.), 85–95 (1994)

  30. Valentine, J. W., Collins, A. G. & Meyer, C. P. Morphological complexity increase in metazoans. Paleobiology 20, 131–142 (1994)

    Article  Google Scholar 

Download references

Acknowledgements

We thank S. Emmons, Y. Fofanov, D. Graur, D. Portman, T. Shin, S. Srinivasan and M. Travisano for discussions. Z. Altun and D. Hall gave advice on the classification of C. elegans cells. The Sun Microsystems Center of Excellence in the Geosciences at the University of Houston provided access to high-performance computing resources. The Foundation for Science and Technology (Portugal), European Molecular Biology Organization, Biotechnology and Biological Sciences Research Council (UK), and the University of Houston provided financial support.

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Correspondence to Ricardo B. R. Azevedo.

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Supplementary information

Supplementary Movie

The spatial positions of cells in the Pellioditis marina embryo are largely determined by the cell lineage. The movie shows a simulation of the embryonic development of P. marina based on 4D microscopy data (Supplementary Methods). Development runs for approximately 530 minutes from shortly after the third cell division (4-cell stage) until the onset of muscle contraction (571-cell stage). Initially, the embryo is viewed from the ventral side, with anterior to the left, and then rotates to a left lateral position during elongation. Cells are coloured in a gradient from red to blue corresponding to their position in the lineage diagram from left to right (Supplementary Fig. S3). Cells undergoing programmed cell death turn white and become increasingly transparent before vanishing. (MOV 2568 kb)

Supplementary Methods

Details on cell lineage data, lineage complexity metric, and software. Additional references are included. (PDF 67 kb)

Supplementary Figures S1–6

Legends and references to accompany the below figures are also included in this file. Supplementary Fig. S1: our conclusions are robust to the way in which cells are classified. Supplementary Fig. S2: distributions of the effects of mutations on the complexity and lineage positions of cells for each of the metazoan lineages. Supplementary Fig. S3: the spatial positions of cells in the P. marina embryo are determined by the cell lineage. Supplementary Fig. S4: an extremely simple lineage capable of generating the terminal cells of the Caenorhabditis elegans embryo. Supplementary Fig. S5: the constraint on cell position is modeled as a selective constraint. Supplementary Fig. S6: the spatial constraint on the evolution of lineage complexity is not caused by an indirect reduction of population size. (PDF 155 kb)

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Azevedo, R., Lohaus, R., Braun, V. et al. The simplicity of metazoan cell lineages. Nature 433, 152–156 (2005). https://doi.org/10.1038/nature03178

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