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Selection

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Part of the Lecture Notes in Mathematics book series (LNMECOLE,volume 2012)

Abstract

In Remark 2.18 we introduced the notion of nucleotide diversity – the proportion of nucleotides that differ between two randomly chosen sequences. Its expected value is θ = 4Neμ (for a diploid population) where μ is the mutation probability per base pair per individual per generation and N e is the effective population size. The mutation rate can be estimated directly (or from the divergence between species with a known divergence time) and this gives an estimate of N e (Barton et al. (2007), p.426). This approach yields N e ~ 106 for Drosophila melanogaster, far lower than the actual (census) population size or indeed than the population size is likely to have been in the past. Moreover, although genetic variation is certainly higher in more abundant organisms, the relationship is rather weak. For example there’s only about a factor of ten difference between Drosophila melanogaster and humans. Abundant species have much less genetic diversity than expected from the neutral theory, something else is going on.

Keywords

  • Selective Sweep
  • Instantaneous Rate
  • Poisson Point Process
  • Crossover Event
  • Fisher Model

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Correspondence to Alison Etheridge .

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© 2011 Springer-Verlag Berlin Heidelberg

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Etheridge, A. (2011). Selection. In: Some Mathematical Models from Population Genetics. Lecture Notes in Mathematics(), vol 2012. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16632-7_5

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