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Measuring spontaneous deleterious mutation process

A S Kondrashov1

  • 1Section of Ecology and Systematics, Cornell University, Ithaca, NY 14853, USA. ask3@cornell.edu

Genetica
|August 28, 1998
PubMed
Summary

Estimating deleterious mutation rates (U) and mutational pressure (P) is crucial but challenging. Current data suggest U > 1 in mammals and U ≈ 1 in plants, though P remains uncertain due to environmental influences.

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Area of Science:

  • Evolutionary biology
  • Genetics
  • Population genetics

Background:

  • Estimating mutation parameters is vital for understanding evolutionary processes.
  • Key parameters like total deleterious mutation rate (U) and mutational pressure (P) are poorly understood.
  • Data sources include genotypes, phenotypes, fitness, long-term evolution, short-term changes, and equilibrium populations.

Purpose of the Study:

  • To review and synthesize current knowledge on estimating deleterious mutation parameters.
  • To highlight the challenges and uncertainties in quantifying U and P.
  • To discuss the implications of these parameters for evolutionary and genetic studies.

Main Methods:

  • Analysis of existing data on genotypes, phenotypes, and fitness.
  • Review of studies on long-term evolution, short-term changes, and population equilibria.
  • Examination of inbreeding depression magnitudes in selfing populations.
  • Assessment of fitness decline under relaxed selection.

Main Results:

  • Mammalian U likely exceeds 1, based on neutral evolution rates and estimates of functional genome fraction.
  • Flowering plant U is approximately 1, inferred from inbreeding depression in selfers.
  • Estimates of P are contradictory, likely due to strong environmental dependencies in fitness measurements.

Conclusions:

  • Accurate estimation of deleterious mutation parameters (U and P) remains a significant challenge in evolutionary genetics.
  • While U can be reasonably estimated for certain taxa, P is highly context-dependent.
  • Further research is needed to refine methods for quantifying mutational pressure across diverse conditions.

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