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Quantitative Genetic Effects of Bottlenecks: Experimental Evidence from a Wild Plant Species, Nigella degenii.

Author:
  • Stefan Andersson
  • Maarten Ellmer
  • Tove Jörgensen
  • Anna Palmé
Publishing year: 2010
Language: English
Pages: 298-307
Publication/Series: Journal of Heredity
Volume: 101
Document type: Journal article
Publisher: Oxford University Press

Abstract english

Understanding the genetic consequences of changes in population size is fundamental in a variety of contexts, such as adaptation and conservation biology. In the study presented here, we have performed a replicated experiment with the plant Nigella degenii to explore the quantitative genetic effects of a single-founder bottleneck. In agreement with additive theory, the bottleneck reduced the mean (co)variance within lines and caused stochastic, line-specific changes in the genetic (co)variance structure. However, a significant portion of the (co)variance structure was conserved, and 2 characters-leaf and flower (sepal) size-turned out to be positively correlated in all data sets, indicating a potential for correlated evolution in these characters, even after a severe bottleneck. The hierarchical partitioning of genetic variance for flower size was in good agreement with predictions from additive theory, whereas the remaining characters showed an excess of within-line variance and a deficiency of among-line variance. The latter discrepancies were most likely a result of selection, given the small proportion of lines (23%) that remained viable until the end of the experiment. Our results suggest that bottlenecked populations of N. degenii generally have a lower adaptive potential than the ancestral population but also highlight the idiosyncratic nature of bottleneck effects.

Keywords

  • Ecology

Other

Published
  • ISSN: 0022-1503
Stefan Andersson
E-mail: stefan [dot] andersson [at] biol [dot] lu [dot] se

Professor

Biodiversity

+46 46 222 44 08

E-A322

50

Research group

Plant Biology

Projects

 

Doctoral students and Postdocs

PhD students, main supervisor

Gróa Valgerdur Ingimudardóttir

Downloads & links

CV (pdf; 19 kb)

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