Genetic individualization of sable (Martes zibellina L. 1758) using microsatellites

Autor: Bo Li, Dan Wu, Yingying Cai, Monakhov Vladimir G, Wei Zhang, Yanchun Xu
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Animal Cells and Systems, Vol 22, Iss 4, Pp 253-258 (2018)
Druh dokumentu: article
ISSN: 1976-8354
2151-2485
19768354
DOI: 10.1080/19768354.2018.1494039
Popis: Genetic individualization based on non-invasive sampling is crucial for estimating the numbers of individuals in endangered mammalian populations. In sable (Martes zibellina)-poaching cases, identifying the number of animals involved is critical for determining the penalty. In addition, investigating animal numbers for wild sable populations requires genetic individualization when collecting several samples in neighboring regions. Microsatellites have been demonstrated to be reliable markers for individual identification. Thirty-three microsatellite loci derived from Mustelidae were selected to develop a genetic individualization method for sable. Three reference populations containing 54 unrelated sables were used to calculate allele number, allelic frequencies, and the polymorphic information content of each locus. The data were subsequently used to assess the validity of a combination of twelve loci for sable individualization. We defined twelve polymorphic loci that were easy to be amplified and genotyped. Four significant deviations from Hardy-Weinberg equilibrium were observed among the 12 loci in the three populations. The match probability of an individual from the reference populations with a random individual based on the 12 loci was 1.37 × 10−13. Using the combination of the twelve loci provides sufficient power to individualize sables considering the levels of microsatellite polymorphism observed. These loci were successfully applied to a case of sable poaching and provided valid evidence to determine the penalty. The genetic individualization of sable based on these loci might also be useful to investigate the numbers of animals in wild populations.
Databáze: Directory of Open Access Journals
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