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1.
Genes (Basel) ; 13(8)2022 08 20.
Article in English | MEDLINE | ID: mdl-36011398

ABSTRACT

The main objective of this study was to determine the impact of increased demand for peregrine falcons via breeding (mainly Polish, Czech, German and Slovak) on the genetic structure of the birds. In the analysis, 374 specimens from six countries were sampled in 2008-2019 (omitting 2009), and all the birds analyzed were released into the wild as part of the Polish reintroduction program. The assessment of genetic variation was based on a well-known panel of 10 microsatellite markers described for the species. We calculated a fixation index for the samples from each year, and based on this, we determined the level of inbreeding. We also performed an analysis using the Bayesian cluster method, assuming that 1-19 hypothetical populations would define the division that best fit the samples. The most probable division was into two groups; in the first group, the samples from individuals delivered in 2013 were most often segregated; moreover, in this year, a jump in inbreeding, expressed by the fixation index, was observed.


Subject(s)
Falconiformes , Animals , Bayes Theorem , Breeding , Falconiformes/genetics , Humans , Microsatellite Repeats/genetics
2.
Genes (Basel) ; 12(5)2021 04 29.
Article in English | MEDLINE | ID: mdl-33946707

ABSTRACT

Microsatellite DNA analysis is a powerful tool for assessing population genetics. The main aim of this study was to assess the genetic potential of the peregrine falcon population covered by the restitution program. We characterized individuals from breeders that set their birds for release into the wild and birds that have been reintroduced in previous years. This was done using a well-known microsatellite panel designed for the peregrine falcon containing 10 markers. We calculated the genetic distance between individuals and populations using the UPGMA (unweighted pair group method with arithmetic mean) method and then performed a Principal Coordinates Analysis (PCoA) and constructed phylogenetic trees, to visualize the results. In addition, we used the Bayesian clustering method, assuming 1-15 hypothetical populations, to find the model that best fit the data. Units were segregated into groups regardless of the country of origin, and the number of alleles and observed heterozygosity were different in different breeding groups. The wild and captive populations were grouped independent of the original population.


Subject(s)
Falconiformes/genetics , Genotype , Microsatellite Repeats , Animals , Ecosystem , Endangered Species , Falconiformes/classification , Falconiformes/physiology , Genotyping Techniques/methods , Genotyping Techniques/standards , Phylogeny , Poland , Polymorphism, Genetic , Reference Standards
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