title: Geographical distance and physical barriers shape the genetic structure of Eurasian red squirrels (Sciurus vulgaris) in the Italian Alps.
abstract: Red squirrels (Sciurus vulgaris) are widely distributed throughout Eurasia, occurring in many types of coniferous and mixed-deciduous forests. In fragmented landscapes, small and partly isolated populations with low immigration rates show reduced genetic diversity, but reforestation can increase gene flow and restore levels of genetic variation in a few decades. No studies have so far investigated the genetic structure of red squirrel in large, continuous forests. The Italian Alps are presently characterized by almost continuous, recently reconnected forest habitats, that were affected by deep landscape changes during last glaciations but remained mostly unchanged between 10 000 and 200 years bp, when forest cover was heavily reduced. In this study we analyse patterns of genetic variability of red squirrels in and between seven sites distributed over 250 km of Alpine habitat, using mitochondrial DNA (mtDNA) and microsatellites. We use isolation-by-distance (IBD) models to investigate the relative importance that past (Pleistocene glaciations) and recent (fragmentation, bottlenecks) events had on the present genetic situation. Both nuclear and mtDNA data indicate a significant differentiation among study sites and a significant correlation between genetic and geographical distance only over a large scale. No recent bottlenecks are recorded through microsatellites and demographic models strongly support equilibrium between gene flow and drift; however, mtDNA suggests that there may have been local demographic crashes, probably in correspondence with the 19th-century forest fragmentation. These findings indicate that local landscape factors other than geographical distance per se, such as barriers of unsuitable habitat, affect gene flow and determine differentiation.
authors.affiliation: Department Environment-Health-Security, University of Insubria, Varese, Via J.H. Dunant 3, I-21100 Varese, Italy.
authors.forename: I
authors.initials: I
authors.lastname: Trizio
authors.forename: B
authors.initials: B
authors.lastname: Crestanello
authors.forename: P
authors.initials: P
authors.lastname: Galbusera
authors.forename: L A
authors.initials: LA
authors.lastname: Wauters
authors.forename: G
authors.initials: G
authors.lastname: Tosi
authors.forename: E
authors.initials: E
authors.lastname: Matthysen
authors.forename: H C
authors.initials: HC
authors.lastname: Hauffe
mesh_terms: D000818:Animals; D001483:Base Sequence; D016000:Cluster Analysis; D017931:DNA Primers; D004272:DNA, Mitochondrial / Q000235:genetics; D003710:Demography; D005787:Gene Frequency; D014644:Genetic Variation; D005828:Genetics, Population; D005843:Geography; D007558:Italy; D018895:Microsatellite Repeats / Q000235:genetics; D008957:Models, Genetic; D008969:Molecular Sequence Data; D012589:Sciuridae / Q000235:genetics*; D017422:Sequence Analysis, DNA; D014197:Trees
chemical_list: D017931:DNA Primers; D004272:DNA, Mitochondrial