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Inferences on genome-wide deleterious mutation rates in inbred populations of Drosophila and mice

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Mutation and Evolution

Part of the book series: Contemporary Issues in Genetics and Evolution ((CIGE,volume 7))

Abstract

A theoretical analysis was carried out on the mutation load observed in long-maintained inbred lines from two experiments with Drosophila and mice. The rate of decline in fitness and its sampling distribution were predicted for both experiments using Monte Carlo simulation with a range of mutational parameters and models. The predicted rates of change in fitness were compared to the empirical observed rates, which were close to zero. The classical hypothesis of many deleterious mutations (about one event per genome per generation) of small effect (1–2%) resulting in a mutation pressure for fitness of about 1% per generation is incompatible with the data. Recent estimates suggesting an overall mutation pressure for fitness traits of about 0.1% are, however, compatible with the observed load.

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Author information

Authors and Affiliations

  1. Dep. Bioquímica, Genética e Inmunología, Facultad de Ciencias, Universidad de Vigo, 36200, Vigo, Spain

    Armando Caballero

  2. Institute of Cell, Animal and Population Biology, University of Edinburgh, West Mains Road, Edinburgh, EH9 3JT, Scotland

    Peter D. Keightley

Authors
  1. Armando Caballero
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  2. Peter D. Keightley
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Editor information

Editors and Affiliations

  1. Bowling Green State University, Bowling Green, Ohio, USA

    Ronny C. Woodruff

  2. University of Oklahoma, Norman, Oklahoma, USA

    James N. Thompson Jr.

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© 1998 Springer Science+Business Media Dordrecht

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Caballero, A., Keightley, P.D. (1998). Inferences on genome-wide deleterious mutation rates in inbred populations of Drosophila and mice. In: Woodruff, R.C., Thompson, J.N. (eds) Mutation and Evolution. Contemporary Issues in Genetics and Evolution, vol 7. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5210-5_19

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  • DOI: https://doi.org/10.1007/978-94-011-5210-5_19

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6193-3

  • Online ISBN: 978-94-011-5210-5

  • eBook Packages: Springer Book Archive

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