Journal article
Detecting bottlenecks using BOTTLENECK 1.2.02 in wild populations: The importance of the microsatellite structure
Conservation Genetics, Vol.11(3), pp.1043-1049
2010
Abstract
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. © 2009 Springer Science+Business Media B.V.
Details
- Title
- Detecting bottlenecks using BOTTLENECK 1.2.02 in wild populations: The importance of the microsatellite structure
- Authors
- Romane H Cristescu (Author) - University of New South WalesW B Sherwin (Author) - University of New South WalesK Handasyde (Author) - University of MelbourneV Cahill (Author) - Dubbo CollegeD W Cooper (Author) - University of New South Wales
- Publication details
- Conservation Genetics, Vol.11(3), pp.1043-1049
- Publisher
- Springer Netherlands
- Date published
- 2010
- DOI
- 10.1007/s10592-009-9949-2
- ISSN
- 1566-0621
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99449271102621
- Output Type
- Journal article
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- Collaboration types
- Domestic collaboration
- Web Of Science research areas
- Biodiversity Conservation
- Genetics & Heredity