scholarly journals Partitioning drivers of spatial genetic variation for a continuously distributed population of boreal caribou: Implications for management unit delineation

2018 ◽  
Vol 9 (1) ◽  
pp. 141-153 ◽  
Author(s):  
Pauline Priadka ◽  
Micheline Manseau ◽  
Tim Trottier ◽  
Dave Hervieux ◽  
Paul Galpern ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Management Unit ◽  
Spatial Genetic Variation ◽  
Boreal Caribou

Palaeoclimate-induced range shifts may explain current patterns of spatial genetic variation in renosterbos (Elytropappus rhinocerotis, Asteraceae)

Taxon ◽  
2007 ◽  
Vol 56 (2) ◽  
pp. 393-408 ◽  
Author(s):  
Nicola G. Bergh ◽  
Terry A. Hedderson ◽  
H. Peter Linder ◽  
William J. Bond
Keyword(s):  
Genetic Variation ◽  
Range Shifts ◽  
Spatial Genetic Variation

scholarly journals Lack of spatial genetic variation in the edible crab (Cancer pagurus) in the Kattegat–Skagerrak area

2009 ◽  
Vol 66 (3) ◽  
pp. 462-469 ◽  
Author(s):  
Anette Ungfors ◽  
Niall J. McKeown ◽  
Paul W. Shaw ◽  
Carl André
Keyword(s):  
Genetic Variation ◽  
Gene Flow ◽  
Larval Dispersal ◽  
Power Analysis ◽  
Norwegian Sea ◽  
Cancer Pagurus ◽  
Genotype Frequencies ◽  
Contemporary Gene Flow ◽  
Large Populations ◽  
Spatial Genetic Variation

Abstract Ungfors, A., McKeown, N. J., Shaw, P. W., and André, C. 2009. Lack of spatial genetic variation in the edible crab (Cancer pagurus) in the Kattegat–Skagerrak area. – ICES Journal of Marine Science, 66: 462–469. The stock structure of the edible crab (Cancer pagurus L.) in the Kattegat and Skagerrak was investigated using eight microsatellite DNA loci. Replicate samples, collected 4–6 years apart, were derived from the Kattegat (Grove Bank, 57°N) and the Skagerrak (Lunneviken, 59°N), plus a geographical outgroup sample from the Norwegian Sea (Midsund, 62°N). Genetic differentiation among samples, estimated as global FST = 0.002, was significant (p = 0.03) when the statistical test was based on allele frequencies, but not when based on genotype frequencies. Moreover, all single- and multilocus pairwise tests between samples were non-significant. An analysis of molecular variance, AMOVA, did not reveal significant differentiation between spatial (Kattegat vs. Skagerrak) or temporal (2001/2002 vs. 2006/2007) groups of samples. Power analysis suggested that the loci and sample sizes employed conferred a power of >90% of detecting even low (true FST = 0.002) levels of population structure. Low spatial and temporal genetic structure might be explained by either or both of (i) high levels of contemporary gene flow in the area attributable to adult migration or larval dispersal or both factors taken together, and (ii) patterns of historical gene flow persisting among recently founded large populations.

scholarly journals Networks of spatial genetic variation across species

2009 ◽  
Vol 106 (45) ◽  
pp. 19044-19049 ◽  
Author(s):  
Miguel A. Fortuna ◽  
Rafael G. Albaladejo ◽  
Laura Fernández ◽  
Abelardo Aparicio ◽  
Jordi Bascompte
Keyword(s):  
Genetic Variation ◽  
Spatial Genetic Variation

scholarly journals Assessing the robustness of networks of spatial genetic variation

2013 ◽  
Vol 16 ◽  
pp. 86-93 ◽  
Author(s):  
Eva M. Albert ◽  
Miguel A. Fortuna ◽  
José A. Godoy ◽  
Jordi Bascompte
Keyword(s):  
Genetic Variation ◽  
Spatial Genetic Variation

scholarly journals Assessment of drivers of spatial genetic variation of a ground‐dwelling bird species and its implications for conservation

2021 ◽  
Author(s):  
Florian Kunz ◽  
Peter Klinga ◽  
Marcia Sittenthaler ◽  
Martin Schebeck ◽  
Christian Stauffer ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Bird Species ◽  
Spatial Genetic Variation
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