Spatial analysis of allozyme and microsatellite DNA polymorphisms in the land snail Helix aspersa (Gastropoda : Helicidae)

Citation
Jf. Arnaud et al., Spatial analysis of allozyme and microsatellite DNA polymorphisms in the land snail Helix aspersa (Gastropoda : Helicidae), MOL ECOL, 10(6), 2001, pp. 1563-1576
Citations number
54
Categorie Soggetti
Environment/Ecology,"Molecular Biology & Genetics
Journal title
MOLECULAR ECOLOGY
ISSN journal
09621083 → ACNP
Volume
10
Issue
6
Year of publication
2001
Pages
1563 - 1576
Database
ISI
SICI code
0962-1083(200106)10:6<1563:SAOAAM>2.0.ZU;2-Q
Abstract
The genetic structure of the land snail Helix aspersa was investigated for 21 populations collected along a road located in the polders of the Bay of Mont-Saint-Michel (Brittany, France), following a sampling scheme the area of which did not exceed 900 m in length. A total of 369 individuals were ge notyped for five enzymatic markers and seven microsatellite loci. We used s equential hierarchical F-statistics at different spatial scales and spatial autocorrelation statistics to explore recent historical patterns involved in the observed genetic distribution. Whatever the statistics used, congrue nt levels of spatial genetic substructuring across loci were demonstrated, excepted for one allozyme locus. Overall spatial genetic arrangement matche d in a substantial fashion theoretical predictions based on the limited dis persal power of land snails. Positive autocorrelation over short-distance c lasses may result from the development of genetically distinct patches of i ndividuals organized in family-structured colonies. Therefore, spatial sign atures of average I correlograms can be viewed as the expression of a stepp ing-stone model of population structure, sometimes involving external migra tional events. Overall, the revealed pattern of population subdivision on a microgeographical scale was suggestive of a neighbourhood structure. Final ly, microsatellite loci are especially suitable for the detection of small genetic clustering, and combining different classes of markers offers the p otential to gain further insight into the description of spatial genetic va riability over short temporal and geographical scales.