Genetic variability and level of differentiation in North Sea and Baltic Sea populations of the green alga Cladophora rupestris

Cladophora rupestris is a perennial filamentous macroalga belonging to the Chlorophyta. It is widely distributed on both sides of the northern Atlantic Ocean and penetrates into the brackish Baltic Sea down to ca. 4 psu salinity. In this paper we present evidence for genetic differentiation of a Bal...

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Veröffentlicht in:Marine biology 2003-05, Vol.142 (5), p.1019-1027
Hauptverfasser: Johansson, G, Sosa, P. A, Snoeijs, P
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Sprache:eng
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Zusammenfassung:Cladophora rupestris is a perennial filamentous macroalga belonging to the Chlorophyta. It is widely distributed on both sides of the northern Atlantic Ocean and penetrates into the brackish Baltic Sea down to ca. 4 psu salinity. In this paper we present evidence for genetic differentiation of a Baltic form of this marine alga. We assessed genetic structure within and among 11 populations ranging along a salinity gradient from the Norwegian coast to the northern Baltic Sea proper. Samples of 328 individuals were studied using starch-gel protein electrophoresis to evaluate genetic variability and interpopulation differentiation based on allozymes. Of 11 loci examined, only one was polymorphic. For this locus, encoding superoxide dismutase (SOD-3), a total of seven alleles were distinguished. We found two genetically differentiated groups of populations of C. rupestris, one Baltic Sea group and one North Sea group, with a distinct border in the southern Kattegat near the entrance to the Baltic Sea. The genetic differentiation for SOD-3, expressed as pairwise F ST values between the populations, was generally higher within the Baltic Sea group (0.10–0.43) than within the North Sea group (0.05–0.10); in the latter group also fewer pairs of populations differed significantly. Pairs of populations from different groups had the highest F ST values (0.20–0.60). Hierarchical analysis of variance showed that 29.6% of the total variation in the SOD-3 locus was explained by variation between the two groups, while only 4.2% was explained by variation among the populations within the groups. The remaining variation (66.2%) was found within the populations.
ISSN:0025-3162
1432-1793
DOI:10.1007/s00227-003-1023-x