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Biology & Philosophy

, Volume 28, Issue 4, pp 577–592 | Cite as

Selection never dominates drift (nor vice versa)

  • Hayley ClatterbuckEmail author
  • Elliott Sober
  • Richard Lewontin
Article

Abstract

The probability that the fitter of two alleles will increase in frequency in a population goes up as the product of N (the effective population size) and s (the selection coefficient) increases. Discovering the distribution of values for this product across different alleles in different populations is a very important biological task. However, biologists often use the product Ns to define a different concept; they say that drift “dominates” selection or that drift is “stronger than” selection when Ns is much smaller than some threshold quantity (e.g., ½) and that the reverse is true when Ns is much larger than that threshold. We argue that the question of whether drift dominates selection for a single allele in a single population makes no sense. Selection and drift are causes of evolution, but there is no fact of the matter as to which cause is stronger in the evolution of any given allele.

Keywords

Causal strength Drift Evolution Neutrality Selection 

Notes

Acknowledgments

We are grateful to Martin Barrett, David Baum, Michael Goldsby, Daniel Hausman, Trevor Pearce, Reuben Stern, Elena Spitzer, Mike Steel, Naftali Weinberger, and to the anonymous referees of this journal for useful comments on an earlier draft.

References

  1. Abrams M (2007) How do natural selection and random drift interact? Philos Sci 74:666–679CrossRefGoogle Scholar
  2. Beatty J (1984) Chance and natural selection. Philos Sci 51:183–211CrossRefGoogle Scholar
  3. Brandon R. (2008) Natural selection. In Zalta E (ed) Stanford Encycl Philos. http://plato.stanford.edu/entries/natural-selection/#NatSelDri. Accessed 15 Apr 2012
  4. Carnap R (1928) Scheinprobleme in der philosophie. Weltkreis-Verlag, BerlinGoogle Scholar
  5. Charlesworth B (2009) Effective population size and patterns of molecular evolution and variation. Nat Gen Rev 10:195–205CrossRefGoogle Scholar
  6. Crow J, Kimura M (1970) An introduction to population genetics theory. Burgess Publishing Co., MinneapolisGoogle Scholar
  7. Der R, Epstein CL, Plotkin JB (2011) Generalized population models and the nature of genetic drift. Theor Popul Biol 80:80–99CrossRefGoogle Scholar
  8. Filler J (2009) Newtonian forces and evolutionary biology: a problem and solution for extending the force interpretation. Philos Sci 76:774–783Google Scholar
  9. Fitelson B, Hitchcock C (2011) Probabilistic measures of causal strength. In: Illari P, Russo F, Williamson J (eds) Causality in the sciences. Oxford University Press, Oxford, pp 600–627CrossRefGoogle Scholar
  10. Hodge J (1987) Natural selection as a causal, empirical, and probabilistic theory. In: Kruger L, Gigerenzer G, Morgan M (eds) The probabilistic revolution, vol 2., MIT PressCambridge, MA, pp 233–270Google Scholar
  11. Kimura M (1962) On the probability of fixation of mutant genes in a population. Genet 47:713–719Google Scholar
  12. Kimura M (1968) Genetic variability maintained in a finite population due to mutational production of neutral and nearly neutral isoalleles. Genet Res 11:247–269CrossRefGoogle Scholar
  13. Kimura M (1983) The neutral theory of molecular evolution. Cambridge University Press, New YorkCrossRefGoogle Scholar
  14. Li WH (1978) Maintenance of genetic variability under the joint effect of mutation, selection, and random drift. Genet 90:349–382Google Scholar
  15. Lewontin R (1974) The analysis of variance and the analysis of causes. Am J Hum Genet 25:400–441Google Scholar
  16. Matthen M, Ariew A (2002) Two ways of thinking about fitness and natural selection. J Philos 99:55–83CrossRefGoogle Scholar
  17. McShea D, Brandon R (2010) Biology’s first law. University of Chicago Press, ChicagoGoogle Scholar
  18. Millstein R (2002) Are random drift and natural selection conceptually distinct? Biol Philos 171:33–53CrossRefGoogle Scholar
  19. Ohta T (1992) The nearly neutral theory of molecular evolution. Ann Rev Ecol Syst 23:263–286CrossRefGoogle Scholar
  20. Okasha S (2009) Evolution and the levels of selection. Oxford University Press, New YorkGoogle Scholar
  21. Rolls B (2007) The volumetrics eating plan. Harper, New YorkGoogle Scholar
  22. Reisman K, Forber P (2005) Manipulation and the causes of evolution. Philos Sci 72:1115–1125CrossRefGoogle Scholar
  23. Roughgarden J (1979) Theory of population genetics and evolutionary ecology. Prentice-Hall, Upper Saddle RiverGoogle Scholar
  24. Schillinger L (2007, July 22) Diets to, um, satisfy every appetite. New York Times, p ST9Google Scholar
  25. Shapiro L, Sober E (2007) Epiphenomenalism—the do’s and the don’ts. In: Wolters G, Machamer P (eds) Studies in causality: historical and contemporary. University of Pittsburgh Press, Pittsburgh, pp 235–264Google Scholar
  26. Sober E (1984) The nature of selection. MIT Press, CambridgeGoogle Scholar
  27. Sober E (1988) Apportioning casual responsibility. J Philos 85:303–318CrossRefGoogle Scholar
  28. Sober E (2011) Realism, conventionalism, and causal decomposition in units of selection. Philos Phenomenol Res 82:221–231CrossRefGoogle Scholar
  29. Stephens C (2004) Selection, drift, and the ‘forces’ of evolution. Philos Sci 71:550–570CrossRefGoogle Scholar
  30. Walsh D (2000) Chasing shadows—natural selection and adaptation. Stud Hist Philos Biol Biomed Sci 31:135–153Google Scholar
  31. Walsh D, Lewens T, Ariew A (2002) The trials of life—natural selection and random drift. Philos Sci 69:452–473CrossRefGoogle Scholar
  32. Wright E, Levine A, Sober E (1992) Reconstructing Marxism—essays on explanation and the theory of history. Verso, New YorkGoogle Scholar
  33. Wright S (1931) Evolution in Mendelian populations. Genet 16:97–159Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Hayley Clatterbuck
    • 1
    Email author
  • Elliott Sober
    • 1
  • Richard Lewontin
    • 2
  1. 1.University of WisconsinMadisonUSA
  2. 2.Harvard UniversityCambridgeUSA

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