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Mol Ecol ; 13(9): 2679-90, 2004 Sep.
Article in English | MEDLINE | ID: mdl-15315680

ABSTRACT

Medicago citrina is an endangered western Mediterranean endemic that grows only on small islets of the Balearic archipelago and off the eastern Spanish coast. Only 10 isolated subpopulations are currently known (four from Ibiza, three from Cabrera, two from Columbretes and one from an offshore islet in northern Alicante province), constituting a severely fragmented genetic system. Data were analysed with the unweighted pair-group method using arithmetic averages (UPGMA) and principle coordinates analysis (PCOA), revealing several distinct groups. Genetic diversity indices indicated that Ibizan subpopulations had the highest genetic variability (Nei's index: 0.1463; Shannon's index: 0.228), whereas the lowest variability was found in Alicante (Nei's index: 0.035; Shannon's index: 0.050) and Cabrera (Nei's index: 0.068; Shannon's index: 0.104). These latter populations show the highest FST values (FST = 0.548) revealing high differentiation between them. Columbretes subpopulations formed a defined single group, although it also included some Ibizan samples. The smallest FST values, obtained between Ibiza and Columbretes (FST = 0.185), are not correlated with geographical proximity, but appear to be related to the geologically recent volcanic origin of the Columbretes islands (300,000 years ago). According to the distribution of the Ibizan samples in the dendrogram and the FST values, the best hypothesis is to regard the Ibizan subpopulations as the centre of genetic diversity of the currently known subpopulations. Our results suggest migratory scenarios from Ibiza to Columbretes based mainly on zoochory probably by seabirds. Finally, recommendations are provided for management strategies to facilitate the conservation of this endangered species.


Subject(s)
Genetic Variation , Genetics, Population , Medicago/genetics , Cluster Analysis , Conservation of Natural Resources , Geography , Polymorphism, Restriction Fragment Length , Population Dynamics , Principal Component Analysis , Spain
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