PATTERNS OF EXTENSIVE GENETIC DIFFERENTIATION AND VARIATION AMONG EUROPEAN HARBOR SEALS (PHOCA-VITULINA VITULINA) REVEALED USING MICROSATELLITE DNA POLYMORPHISMS
Sj. Goodman, PATTERNS OF EXTENSIVE GENETIC DIFFERENTIATION AND VARIATION AMONG EUROPEAN HARBOR SEALS (PHOCA-VITULINA VITULINA) REVEALED USING MICROSATELLITE DNA POLYMORPHISMS, Molecular biology and evolution, 15(2), 1998, pp. 104-118
The harbor seal (Phoca vitulina) has the most extensive distribution o
f any phocid seal species. An analysis of population structure in this
species across its European range was made using 7 phocid derived mic
rosatellites in a sample of 1,029 individuals from 12 separate geograp
hic areas. Despite the species potential for long-distance movement, s
ignificant genetic differentiation between areas was observed using an
unbiased estimator of R-ST. Six distinct population units were identi
fied: Ireland-Scotland, English east coast, Waddensea, western Scandin
avia (Norway-Kattegat-Skagerrak-west Baltic), east Baltic, and Iceland
. Little local substructuring is present along coastlines with a conti
nuous distribution of breeding animals, but differentiation does incre
ase with geographic distance. The degree of differentiation is greater
over equivalent distances where the distribution is discontinuous, su
ch as along coasts where breeding colonies are separated by large dist
ances or by stretches of open sea. Patterns of population differentiat
ion derived from microsatellites are very similar to those obtained fr
om previous mitochondrial DNA analysis and suggest that philopatry in
harbor seals operates over 300-500 km. In Europe, harbor seals have ex
perienced a complex demographic history and patterns of population str
ucture are likely to have been affected by natural environmental influ
ences such as Pleistocene glaciations and epizootics. Comparison of Nm
values from an unbiased estimator of R-ST, G(ST), and theta are consi
stent and, in some cases, may indicate populations where conditions de
viate from the expectations of the R-ST model.