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Effects of spontaneous mutation accumulation on sex ratio traits in a parasitoid wasp

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Author(s)

BA Pannebakker, DL Halligan, KT Reynolds, GA Ballantyne, David Michael Shuker, NH Barton, SA West

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Abstract

Sex allocation theory has proved extremely successful at predicting when individuals should adjust the sex of their offspring in response to environmental conditions. However, we know rather little about the underlying genetics of sex ratio or how genetic architecture might constrain adaptive sex-ratio behavior. We examined how mutation influenced genetic variation in the sex ratios produced by the parasitoid wasp Nasonia vitripennis. In a mutation accumulation experiment, we determined the mutability of sex ratio, and compared this with the amount of genetic variation observed in natural populations. We found that the mutability (h(m)(2)) ranges from 0.001 to 0.002, similar to estimates for life-history traits in other organisms. These estimates suggest one mutation every 5-60 generations, which shift the sex ratio by approximately 0.01 (proportion males). in this and other studies, the genetic variation in N. vitripennis sex ratio ranged from 0.02 to 0.17 (broad-sense heritability, H-2). If sex ratio is maintained by mutation-selection balance, a higher genetic variance would be expected given our mutational parameters. Instead, the observed genetic variance perhaps suggests additional selection against sex-ratio mutations with deleterious effects on other fitness traits as well as sex ratio (i.e., pleiotropy), as has been argued to be the case more generally.

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Details

Original languageEnglish
Pages (from-to)1921-1935
Number of pages15
JournalEvolution
Volume62
Issue number8
DOIs
Publication statusPublished - Aug 2008

    Research areas

  • mutation effect, mutation rate, Nasonia vitripennis, parasitoid wasp, sex allocation, LOCAL MATE COMPETITION, SPONTANEOUS DELETERIOUS MUTATION, LIFE-HISTORY TRAITS, NASONIA-VITRIPENNIS, DROSOPHILA-MELANOGASTER, GENETIC-VARIATION, NATURAL-POPULATION, CAENORHABDITIS-ELEGANS, QUANTITATIVE VARIATION, CONTROLLING VIABILITY

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