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Population genetics models of transposable elements

J F Brookfield1, R M Badge

  • 1Department of Genetics, University of Nottingham, Queens Medical Centre, UK.

Genetica
|January 1, 1997
PubMed
Summary

Controlling transposable element copy number is crucial. Mechanisms like selection and reduced transposition rates prevent unlimited increase, especially in finite populations where natural selection is less effective.

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Area of Science:

  • Genetics
  • Evolutionary Biology
  • Molecular Biology

Background:

  • Transposable elements (TEs) are mobile genetic sequences.
  • Their copy number control is vital for genome stability and organismal fitness.
  • Simple models predict unlimited TE proliferation, necessitating regulatory mechanisms.

Purpose of the Study:

  • To explore mechanisms controlling transposable element copy number.
  • To investigate the impact of finite population sizes on TE copy number regulation.
  • To understand how selection, transposition rates, and functional heterogeneity influence TE dynamics.

Main Methods:

  • Theoretical modeling of TE copy number dynamics.
  • Analysis of selection pressures acting on TEs.
  • Examination of transposition rate dependencies on TE copy number.
  • Consideration of functional heterogeneity within TE families.
  • Evaluation of population size effects on natural selection's efficacy.

Main Results:

  • Mechanisms preventing unlimited TE increase include increased selection with copy number, decreased transposition rates with copy number, and functional heterogeneity.
  • Finite population sizes, particularly small ones, can reduce natural selection's power to control TE copy number.
  • Small populations may exhibit diminished variance in TE copy number, leading to less effective selection.
  • Ectopic exchange, exacerbated by heterozygosity in small populations, can significantly limit TE copy number.

Conclusions:

  • TE copy number is regulated by multiple factors, including host genetic mechanisms and population dynamics.
  • Natural selection's effectiveness in controlling TEs is significantly influenced by host population size.
  • Understanding TE dynamics in finite populations is critical for explaining genome evolution and stability.

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