Spatial genetic structure of a small rodent in a heterogeneous landscape.
Gene flow in natural populations may be strongly influenced by landscape features. The integration of landscape characteristics in population genetic studies may thus improve our understanding of population functioning. In this study, we investigated the population genetic structure and gene flow pattern for the common vole, Microtus arvalis, in a heterogeneous landscape characterised by strong spatial and temporal variation. The studied area is an intensive agricultural zone of approximately 500 km(2) crossed by a motorway. We used individual-based Bayesian methods to define the number of population units and their spatial borders without prior delimitation of such units. Unexpectedly, we determined a single genetic unit that covered the entire area studied. In particular, the motorway considered as a likely barrier to dispersal was not associated with any spatial genetic discontinuity. Using computer simulations, we demonstrated that recent anthropogenic barriers to effective dispersal are difficult to detect through analysis of genetic variation for species with large effective population sizes. We observed a slight, but significant, pattern of isolation by distance over the whole study site. Spatial autocorrelation analyses detected genetic structuring on a local scale, most probably due to the social organisation of the study species. Overall, our analysis suggests intense small-scale dispersal associated with a large effective population size. High dispersal rates may be imposed by the strong spatio-temporal heterogeneity of habitat quality, which characterises intensive agroecosystems.
Gauffre
B
B
INRA, UMR CBGP (INRA/IRD/Cirad/Montpellier SupAgro), Campus international de Baillarguet, CS 30016, F-34988 Montferrier-sur-Lez cedex, France. gauffre@supagro.inra.fr
Estoup
A
A
Bretagnolle
V
V
Cosson
J F
JF
D000483:Alleles; D000818:Animals; D003411:Arvicolinae / Q000235:genetics*; D001499:Bayes Theorem; D016000:Cluster Analysis; D003198:Computer Simulation; D017753:Ecosystem; D005602:France; D051456:Gene Flow; D014644:Genetic Variation; D005828:Genetics, Population; D008957:Models, Genetic; D011157:Population Dynamics; D017422:Sequence Analysis, DNA