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Microsatellites in the sand lizard (Lacerta agilis): description, variation, inheritance, and applicability
A Gullberg1, H Tegelström, M Olsson
1Department of Genetics, Uppsala University, Sweden.
Biochemical Genetics
|August 1, 1997
Summary
New microsatellite markers reveal genetic variability in Swedish sand lizard (Lacerta agilis) populations. While substantial, this variability is lower than in a Hungarian population, highlighting the need for careful genetic analysis.
Area of Science:
- * Evolutionary biology
- * Population genetics
Background:
- * The sand lizard (Lacerta agilis) exhibits a heterogeneous spatial distribution in Sweden.
- * Previous studies using allozymes or mitochondrial DNA could not adequately characterize genetic variability in these populations.
Purpose of the Study:
- * To develop and utilize microsatellite markers for investigating genetic variability within and among Swedish sand lizard populations.
- * To compare genetic diversity in Swedish populations with a larger, outbred population.
Main Methods:
- * Development of novel microsatellite markers for Lacerta agilis.
- * Analysis of genetic variability using these microsatellite loci.
- * Comparison of genetic data between Swedish and Hungarian populations.
Main Results:
- * Microsatellite loci revealed substantial genetic variability in Swedish sand lizard populations, which was not detected by other methods.
- * Genetic variability in Swedish populations was found to be limited compared to a large, outbred Hungarian population.
- * The frequency and number of (GT/CA)n repeats were higher than (CT/GA)n repeats, consistent with other species.
- * Microsatellite "null alleles" were observed in three of nine loci, necessitating caution in analyses.
Conclusions:
- * Microsatellite markers are effective tools for assessing genetic variability in Lacerta agilis, particularly in spatially structured populations.
- * Swedish sand lizard populations exhibit lower genetic diversity than expected, suggesting potential conservation concerns.
- * The presence of null alleles requires careful consideration when interpreting population genetic data and calculating genetic differentiation.
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