Landscape genetic analyses of Cervus elaphus and Sus scrofa: comparative study and analytical developments.

Autor: Dellicour S; Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Brussels, Belgium. simon.dellicour@ulb.ac.be.; Rega Institute, Clinical and Epidemiological Virology, KU Leuven, Minderbroedersstaat 10, Leuven, 3000, Belgium. simon.dellicour@ulb.ac.be., Prunier JG; Station d'Ecologie Théorique et Expérimentale (UMR 5321), Centre National de la Recherche Scientifique (CNRS), Université Paul Sabatier (UPS), 2 route du CNRS, Moulis, 09200, France., Piry S; CBGP, INRA, CIRAD, IRD, Montpellier SupAgro, Univ Montpellier, Montpellier, France., Eloy MC; Institut des Sciences de la Vie, University of Louvain, Croix du Sud, 4-15, Bte7.07.14, Louvain-la-Neuve, B-1348, Belgium., Bertouille S; Département de l'Etude du Milieu Naturel et Agricole, Service Public de Wallonie, Avenue Marechal Juin 23, Gembloux, B-5030, Belgium., Licoppe A; Département de l'Etude du Milieu Naturel et Agricole, Service Public de Wallonie, Avenue Marechal Juin 23, Gembloux, B-5030, Belgium., Frantz AC; Musée National d'Histoire Naturelle, Luxembourg, Luxembourg.; Fondation Faune-Flore, Luxembourg, Luxembourg., Flamand MC; Institut des Sciences de la Vie, University of Louvain, Croix du Sud, 4-15, Bte7.07.14, Louvain-la-Neuve, B-1348, Belgium.
Jazyk: angličtina
Zdroj: Heredity [Heredity (Edinb)] 2019 Aug; Vol. 123 (2), pp. 228-241. Date of Electronic Publication: 2019 Feb 01.
DOI: 10.1038/s41437-019-0183-5
Abstrakt: Red deer and wild boar are two major game species whose populations are managed and live in areas impacted by human activities. Measuring and understanding the impact of landscape features on individual movements and spatial patterns of genetic variability in these species is thus of importance for managers. A large number of individuals sampled across Wallonia (Belgium) for both species have been genotyped using microsatellite markers (respectively > 1700 and > 1200 genotyped individuals) and some individuals have also been followed using a capture-mark-recapture (CMR) protocol. The combined data set represents an unprecedented opportunity to study and compare the environmental factors impacting the interconnectivity of these large mammals. The present study describes and uses a landscape genetic workflow to compare spatial patterns of genetic variability and the impact of environmental factors on genetic differentiation. For the latter analyses, we investigate the correlation between genetic and environmental distances (pairwise approach) and also between local genetic dissimilarity and environmental conditions (point approach). Preliminary analyses of CMR data confirm that motorways act as significant barriers to dispersal. However, analyses performed with the pairwise approach do not highlight any evidence of an impact of motorways on genetic differentiation, which is presumably due to their recent establishment. Complementary analyses performed with the point approach reveal that low altitude tends to be associated with higher genetic dissimilarity. From a methodological point of view, the present workflow illustrates the complementary application of both pairwise and point approaches, as well as univariate and multivariate analyses.
Databáze: MEDLINE
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