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The cost of inbreeding in Arabidopsis

Author

Listed:
  • Carlos D. Bustamante

    (Harvard University
    University of Oxford)

  • Rasmus Nielsen

    (Cornell University)

  • Stanley A. Sawyer

    (Washington University)

  • Kenneth M. Olsen

    (North Carolina State University)

  • Michael D. Purugganan

    (North Carolina State University)

  • Daniel L. Hartl

    (Harvard University)

Abstract

Population geneticists have long sought to estimate the distribution of selection intensities among genes of diverse function across the genome. Only recently have DNA sequencing and analytical techniques converged to make this possible. Important advances have come from comparing genetic variation within species (polymorphism) with fixed differences between species (divergence)1,2. These approaches have been used to examine individual genes for evidence of selection. Here we use the fact that the time since species divergence allows combination of data across genes. In a comparison of amino-acid replacements among species of the mustard weed Arabidopsis with those among species of the fruitfly Drosophila, we find evidence for predominantly beneficial gene substitutions in Drosophila but predominantly detrimental substitutions in Arabidopsis. We attribute this difference to the Arabidopsis mating system of partial self-fertilization, which corroborates a prediction of population genetics theory3,4,5,6 that species with a high frequency of inbreeding are less efficient in eliminating deleterious mutations owing to their reduced effective population size.

Suggested Citation

  • Carlos D. Bustamante & Rasmus Nielsen & Stanley A. Sawyer & Kenneth M. Olsen & Michael D. Purugganan & Daniel L. Hartl, 2002. "The cost of inbreeding in Arabidopsis," Nature, Nature, vol. 416(6880), pages 531-534, April.
  • Handle: RePEc:nat:nature:v:416:y:2002:i:6880:d:10.1038_416531a
    DOI: 10.1038/416531a
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    Cited by:

    1. Benger, Etam & Sella, Guy, 2013. "Modeling the effect of changing selective pressures on polymorphism and divergence," Theoretical Population Biology, Elsevier, vol. 85(C), pages 73-85.
    2. RoyChoudhury, Arindam & Wakeley, John, 2010. "Sufficiency of the number of segregating sites in the limit under finite-sites mutation," Theoretical Population Biology, Elsevier, vol. 78(2), pages 118-122.
    3. Amei Amei & Stanley Sawyer, 2012. "Statistical Inference of Selection and Divergence from a Time-Dependent Poisson Random Field Model," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-7, April.
    4. Kirsten E Eilertson & James G Booth & Carlos D Bustamante, 2012. "SnIPRE: Selection Inference Using a Poisson Random Effects Model," PLOS Computational Biology, Public Library of Science, vol. 8(12), pages 1-14, December.
    5. Rachel A Myers & Ferran Casals & Julie Gauthier & Fadi F Hamdan & Jon Keebler & Adam R Boyko & Carlos D Bustamante & Amelie M Piton & Dan Spiegelman & Edouard Henrion & Martine Zilversmit & Julie Huss, 2011. "A Population Genetic Approach to Mapping Neurological Disorder Genes Using Deep Resequencing," PLOS Genetics, Public Library of Science, vol. 7(2), pages 1-10, February.

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