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Genetic neighbourhood of clone structures in eelgrass meadows quantified by spatial autocorrelation of microsatellite markers

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons56707

Hämmerli,  A.
Department Ecophysiology, Max Planck Institute for Limnology, Max Planck Institute for Evolutionary Biology, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons56884

Reusch,  T. B. H.
Department Ecophysiology, Max Planck Institute for Limnology, Max Planck Institute for Evolutionary Biology, Max Planck Society;
Department Evolutionary Ecology, Max Planck Institute for Evolutionary Biology, Max Planck Society;

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Zitation

Hämmerli, A., & Reusch, T. B. H. (2003). Genetic neighbourhood of clone structures in eelgrass meadows quantified by spatial autocorrelation of microsatellite markers. Heredity, 91, 448-455.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-DC54-D
Zusammenfassung
Limited dispersal distances in plant populations frequently cause local genetic structure, which can be quantified by spatial autocorrelation. In clonal plants, three levels of spatial organization can contribute to positive autocorrelation; namely, the neighbourhood of (a) ramets, (b) clone fragments and (c) entire clones. Here we use data from an exhaustive sampling scheme on a clonal plant to measure the contribution of the neighbourhoods of each distinct clonal structure to total spatial autocorrelation. Four plots (256 grid points each) within dense meadows of the marine clonal plant Zostera marina (eelgrass) were sampled for clone structure with nine microsatellite markers (»80 alleles). We found significant coancestry (fij), at all three levels of spatial organization, even when not allowing for joins between samples of identical genets. In addition, absolute values of fij and the maximum distance with significant positive fij decreased with the progressive exclusion of joins between alike genotypes. The neighbourhood of this clonal plant thus consists of three levels of organization, which are reflected in different kinship structures. Each of these kinship structures may affect the level of biparental inbreeding and the physical distance between flowering shoots and their outcrossing neighbourhood. These results also emphasize the notion that spatial autocorrelation crucially depends on the scale and intensity of sampling