Effects of environmental pollution on microsatellite DNA diversity in wood mouse (Apodemus sylvaticus) populations

  • Berckmoes V
  • Scheirs J
  • Jordaens K
 et al. 
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Ten microsatellite DNA loci were surveyed to investigate the effects of heavy metal pollution on the genetic diversity and population genetic structure of seven wood mouse (Apodemus sylvaticus) populations along a heavy metal pollution gradient away from a nonferrous smelter in the south of Antwerp (Flanders, Belgium). Analysis of soil heavy metal concentrations showed that soil Ag, As, Cd, Cu, and Pb decreased with increasing distance from the smelter. Genetic analyses revealed high levels of genetic variation in all populations, but populations from the most polluted sites in the gradient did not differ from those of less-polluted sites in terms of mean observed and expected heterozygosity level and mean allefic richness. No correlation was found between measures of genetic diversity and the degree of heavy metal pollution. However, an analysis of molecular variance and a neighbor-joining tree suggested a contamination-related pattern of genetic structuring between the most polluted and less polluted sites. Pairwise F-ST values indicated that populations were significantly genetically differentiated, and assignment tests and direct estimates of recent migration rates suggested restricted gene flow among populations. Additionally, genetic differentiation increased significantly with geographical distance, which is consistent with an isolation-by-distance model. We conclude that, at least for our microsatellite DNA markers, genetic diversity in the studied wood mouse populations is not affected greatly by the heavy metal pollution.

Author-supplied keywords

  • apodemus sylvaticus
  • bank voles
  • clethrionomys-glareolus
  • contamination
  • ecotoxicology
  • environmental pollution
  • f-statistics
  • flow
  • fragmentation
  • genetic diversity
  • heavy metals
  • mice
  • microsatellite DNA markers
  • multilocus genotypes
  • population genetics

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  • V Berckmoes

  • J Scheirs

  • K Jordaens

  • R Blust

  • T Backeljau

  • R Verhagen

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