Detecting bottlenecks using BOTTLENECK 1.2.02 in wild populations: the importance of the microsatellite structure

Reduced, or bottlenecked, populations are more prone to adverse events. Thus, the detection of genetic bottleneck signatures in wildlife is an important issue for conservation. BOTTLENECK 1.2.02 is a software commonly used for detecting genetic characteristics of past bottlenecks. Here we test the e...

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Bibliographic Details
Published in:Conservation genetics 2010-06, Vol.11 (3), p.1043-1049
Main Authors: Cristescu, Romane, Sherwin, William Bruce, Handasyde, Kathrine, Cahill, Valma, Cooper, Desmond W
Format: Article
Language:English
Subjects:
Animal Genetics and Genomics
Animal populations
Biodiversity
Biomedical and Life Sciences
Bottleneck
Conservation Biology/Ecology
Ecology
Evolutionary Biology
Frequency distribution
Genetic markers
Infinite alleles model
Life Sciences
Marsupialia
Marsupials
Mutation
Perfect and imperfect repeat microsatellites
Plant Genetics and Genomics
Population genetics
Research Article
Software
Wildlife
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Summary:Reduced, or bottlenecked, populations are more prone to adverse events. Thus, the detection of genetic bottleneck signatures in wildlife is an important issue for conservation. BOTTLENECK 1.2.02 is a software commonly used for detecting genetic characteristics of past bottlenecks. Here we test the efficiency with which this software detects bottlenecks in two koala populations of known history. The sign test performed well for both populations, particularly under the infinite alleles model for mutation. This suggests this model could be the more realistic for marsupial microsatellites than other mutation models. Under the allele frequency distribution test, the two populations falsely appeared to be at mutation/drift equilibrium. However, this test could detect the bottleneck when only imperfect repeat microsatellites were included in the analysis. We thus recommend further investigation of imperfect repeat microsatellites, which could be more powerful for bottleneck detection. These results underline the cautious approach researchers and conservationists should take when studying the past of unknown populations.
ISSN:1566-0621
1572-9737
DOI:10.1007/s10592-009-9949-2