Skip to main content
Log in

Character identification in evolutionary biology: The role of the organism

  • Published:
Theory in Biosciences Aims and scope Submit manuscript

Summary

In this article we argue that an organismic perspective in character identification can alleviate a structural deficiency of mathematical models in biology relative to the ones in the physical sciences. The problem with many biological theories is that they do not contain the conditions of their validity or a method of identifying objects that are appropriate instances of the models. Here functionally important biological characters are introduced as conceptual abstractions derived within the context of an ontologically prior object, such as a cell or an organism. To illustrate this approach, we present an analytical method of character decomposition based on the notion of the quasi-independence of traits. Two cases are analyzed: context dependent units of inheritance and a model of character identification in adaptive evolution. We demonstrate that in each case the biological process as represented by a mathematical theory entails the conditions for the individualization of characters. Our approach also requires a conceptual re-orientation in the way we build biological models. Rather than defining a set of biological characters a priori, functionally relevant characters are identified in the context of a higher level biological process.

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.

Similar content being viewed by others

References

  • Altenberg, L. and M. W. Feldmann (1987). “Selection, generalized transmission, and the evolution of modifier genes. I. The reduction principle.” Genetics 117: 559–572.

    PubMed  CAS  Google Scholar 

  • Baatz, M. and G. P. Wagner (1997). “Adaptive Inertia Caused by Hidden Pleiotropic Effects.” Theoretical Population Biology 51: 49–66.

    Article  Google Scholar 

  • Bailey, V. A. and et al. (1962). “Interaction between hosts and parasites when some host individuals are more difficult to find than others.” Journal of Theoretical Biology 3: 1–18.

    Google Scholar 

  • Berryman, A. A. (1981). Population systems: a general introduction. New York, Academic Press.

    Google Scholar 

  • Brandon, R. (1982). The Levels of Selection. PSA 1982: 315–323.

    Google Scholar 

  • Brandon, R. N. (1990). Adaptation and Environment. Princeton, Princeton University Press.

    Google Scholar 

  • Brandon, R. N. (1995). Concepts and Methods in Evolutionary Biology. Cambridge, Cambridge University Press.

    Google Scholar 

  • Bulmer, M. G. (1980). The Mathematical Theory of Quantitative Genetics. Oxford, Calderon Press.

    Google Scholar 

  • Buss, L. (1987). The Evolution of Individuality. Princeton, Princeton University Press.

    Google Scholar 

  • Crow, J. F. and M. Kimura (1970). An Introduction to Population Genetics Theory. New York, Harper and Row.

    Google Scholar 

  • Darwin, C. (1859). The Origin of Species. London, John Murray.

    Google Scholar 

  • Dawkins, R. (1976). The selfish gene. Oxford, Oxford University Press.

    Google Scholar 

  • Dawkins, R. (1982). The extended phenotype. Oxford, Oxford University Press.

    Google Scholar 

  • Endler, J. A. (1986). Natural Selection in the Wild. Princeton, Princeton University Press.

    Google Scholar 

  • Falconer, D. S. and T. F. C. Mackay (1996). Introduction to Quantitative Genetics. Edinburgh, Longman.

    Google Scholar 

  • Fisher, R. A. (1930). The Genetical Theory of Natural Selection. Oxford, Calderon Press.

    Google Scholar 

  • Gesteland, R. F., T. R. Cech, et al., Eds. (1999). The RNA world: the nature of modern RNA suggests a prebiotic RNA. Cold Spring Harbor, Cold Spring Harbor Laboratory Press.

    Google Scholar 

  • Gilpin, M. and I. Hanski, Eds. (1991). Metapopulation dynamics: empirical and theoretical investigations. London, Academic Press.

    Google Scholar 

  • Grant, P. (1989). Ecology and Evolution of Darwin’s finches. Princeton, Princeton University Press.

    Google Scholar 

  • Griffiths, P. (1997). What Emotions Really Are? The Problem of Psychological Categories. Chicago, University of Chicago Press.

    Google Scholar 

  • Grisemer, J. (1999). “Reproduction and the Reduction of Genetics in Development.” unpublished manuscript.

  • Hanski, I. and M. Gilpin, Eds. (1997). Metapopulation biology: ecology, genetics, and evolution. San Diego, Academic Press.

    Google Scholar 

  • Hartl, D. L. (1997). Principles of Population Genetics. Sunderland, MA, Sinauer.

    Google Scholar 

  • Hofbauer, J. and K. Sigmund (1988). The theory of evolution and dynamical systems: mathematical aspects of selection. Cambridge, Cambridge University Press.

    Google Scholar 

  • Hofbauer, J. and K. Sigmund (1998). Evolutionary games and population dynamics. Cambridge, Cambridge University Press.

    Google Scholar 

  • Hull, D. (1980). “Individuality and Selection.” Annu. Rev. Ecol. Syst. 1: 311–332.

    Article  Google Scholar 

  • Kim, J. and M. Kim (2000). The mathematical Structure of Characters and Modularity: The Character Concept in Evolutionary Biology. G. P. Wagner, Academic Press: in press.

  • Klir, G. (1985). The Architecture of Systems Problem Solving. New York, Plenum Press.

    Google Scholar 

  • Laubichler, M. D. (1997). Identifying Units of selection: Conceptual and Methodological Issues. Biology. PhD thesis, Yale University: vii+197.

  • Laubichler, M. D. (1997). “The Nature of Biological Concepts.” European Journal for Semiotic Studies 9(2): 251–276.

    Google Scholar 

  • Laubichler, M. D. and G. P. Wagner (2000 a). “Levels of Selection in a two locus two allele system.” in preparation.

  • Laubichler, M. D. and G. P. Wagner (2000 b). “Organisms and Character Decomposition: Steps towards an Integrative Theory of Biology.” Philosophy of Science, Supplement 66: in press.

  • Lewontin, R. (1970). “The units of selection”. Ann. Rev. Ecol. System. 1: 1–14.

    Article  Google Scholar 

  • Lewontin, R. (1978). “Adaptation.” Scientific American 239: 156–169.

    Article  Google Scholar 

  • Lloyd, E. (1988). The Structure and Confirmation of Evolutionary Theory. New York, Greenwood Press.

    Google Scholar 

  • Lynch, M. and B. Walsh (1998). Genetics and Analysis of Quantitative Traits. Sunderland, MA, Sinauer.

    Google Scholar 

  • Margulis, L. (1970). The Origin of Eucaryotic Cells. New Haven, Yale University Press.

    Google Scholar 

  • Margulis, L. (1981). Symbiosis in Cell Evolution. New York, W. H. Freeman.

    Google Scholar 

  • Margulis, L. and R. Fester, Eds. (1991). Symbiosis as a Source of Evolutionary Innovation. Cambridge, MA, MIT Press.

    Google Scholar 

  • Maynard-Smith, J. (1989). Evolutionary Genetics. Oxford, Oxford University Press.

    Google Scholar 

  • Maynard-Smith, J. and E. Szathmary (1995). The Major Transitions in Evolution. Oxford, Oxford University Press.

    Google Scholar 

  • Miller, S. L. and L. E. Orgel (1974). The origins of life on earth. Englewood Cliffs, Prentice-Hall.

    Google Scholar 

  • Mitton, J. (1997). Selection in natural populations. Oxford, Oxford University Press.

    Google Scholar 

  • Murdoch, W. W. and et al. (1996). “Refuge Dynamics and Metapopulation Dynamics: An experimental Test.” The American Naturalist 147(3): 424–444.

    Article  Google Scholar 

  • Nagylaki, T. (1992). Introduction to theoretical population genetics. Berlin, Springer.

    Google Scholar 

  • Rosen, R. (1962). “Church’s Thesis and its Relation to the Concept of Realizability in Biology and Physics.” Bulletin of Mathematical Biophysics 24: 375–393.

    Article  PubMed  CAS  Google Scholar 

  • Rosen, R. (1978). Fundamentals of Measurement and Representation of Natural Systems. New York, North Holland.

    Google Scholar 

  • Sober, E. (1984). The nature of selection. Cambridge, MA, MIT Press.

    Google Scholar 

  • Sokal, R. R. and J. F. Rohlf (1981). Biometry. The Principles and Practice of Statistics in Biological Research. New York, W. H. Freeman.

    Google Scholar 

  • Stearns, S. C. (1992). The Evolution of Life Histories. Oxford, Oxford University Press.

    Google Scholar 

  • Wagner, G. P. (1988). “The influence of variation and of developmental constraints on the rate of multivariate phenotypic evolution.” J. evol. Biol. 1: 45–66.

    Article  Google Scholar 

  • Wagner, G. P. (1989). “Multivariate mutation-selection balance with constrained pleiotropic effects.” Genetics 122: 223–234.

    PubMed  CAS  Google Scholar 

  • Wagner, G. P. (1997). “The Structure of Biological Concepts and its Relation to the Dynamics of Biological Organizations.” European Journal for Semiotic Studies 9: 299–320.

    Google Scholar 

  • Wagner, G. P. and L. Altenberg (1996). “Complex adaptations and the evolution of evolvability.” Evolution 50: 967–976.

    Article  Google Scholar 

  • Wagner, G. P., M. D. Laubichler, et al. (1998). “Genetic measurement theory of epistatic effects.” Genetica 102/103: 569–580.

    Article  Google Scholar 

  • Weinberg, R. A. (1998). One Renegade Cell: How Cancer begins. New York, Basic Books.

    Google Scholar 

  • Weismann, A. (1892). Das Keimplasma: Eine Theorie der Vererbung. Jena, Gustav Fischer.

    Google Scholar 

  • Williams, G. C. (1966). Adaptation and Natural Selection. Princeton, Princeton University Press.

    Google Scholar 

  • Wimsatt, W. (1980). The Unit of Selection and the Structure of the Multi-level Genome. PSA 1980: 122–186.

    Google Scholar 

  • Wimsatt, W. C. (1999). Emergence as Non-aggregativity and the Biases of Reductionism. Natural Contradictions: Perspectives on Ecology and Change. P. J. Taylor and J. Haila: forthcoming.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Günter P. Wagner.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wagner, G.P., Laubichler, M.D. Character identification in evolutionary biology: The role of the organism. Theory Biosci. 119, 20–40 (2000). https://doi.org/10.1007/s12064-000-0003-7

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12064-000-0003-7

Key words

Navigation