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Inbreeding of Bottlenecked Butterfly Populations: Estimation Using the Likelihood of Changes in Marker Allele Frequencies
Ilik J. Saccheria,d, Ian J. Wilsonb,c, Richard A. Nicholsb, Michael W. Bruforda, and Paul M. Brakefieldda Conservation Genetics Group, Institute of Zoology, London NW1 4RY, United Kingdom,
b School of Biological Sciences, Queen Mary and Westfield College, University of London, London E1 4NS, United Kingdom,
c Department of Applied Statistics, University of Reading, Reading RG6 6FN, United Kingdom
d Section of Evolutionary Biology, Institute of Evolutionary and Ecological Sciences, University of Leiden, 2300 RA Leiden, The Netherlands
Corresponding author: Ilik J. Saccheri, Section of Evolutionary Biology, Institute of Evolutionary and Ecological Sciences, University of Leiden, Kaiserstraat 63, P.O. Box 9516, 2300 RA Leiden, The Netherlands., saccheri{at}rulsfb.leidenuniv.nl (E-mail)
Communicating editor: L. PARTRIDGE
2, the variance in the number of descendants left per gene. In all bottlenecked lines,
2 was significantly larger than in control lines (300 founders). We demonstrate that this excess inbreeding was brought about both by an increase in the variance of reproductive success of individuals, but also by another process. We argue that in bottlenecked lines linkage disequilibrium generated by the small number of haplotypes passing through the bottleneck resulted in hitchhiking of particular marker alleles with those haplotypes favored by selection. In control lines, linkage disequilibrium was minimal. Our result, indicating more inbreeding than expected from demographic parameters, contrasts with the findings of previous (Drosophila) experiments in which the decline in observed heterozygosity was slower than expected and attributed to associative overdominance. The different outcomes may both be explained as a consequence of linkage disequilibrium under different regimes of inbreeding. The likelihood-based method to estimate inbreeding should be of wide applicability. It was, for example, able to resolve small differences in
2 among replicate lines within bottleneck-size treatments, which could be related to the observed variation in reproductive viability.
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