Date

2008

Author

Kayım, Mehmet

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Reintroduction of Anatolian mouflon population at Bozdağ Protection & Breeding Station to its former habitats(Emremsultan Wildlife Development Area in Ankara-Nallıhan, and Karadağ in Karaman) started in 2004. The magnitude of genetic change among Bozdağ and reintroduced populations was evaluated by 11 microsatellite loci. Study populations revealed close results (±st.dev.) Bozdağ population: nk = 2.9091 (±1.1362), AE = 2.0250 (±0.9537), Ho = 0.3830 (±0.2717), He = 0.3956 (±0.2746); Nallıhan population: nk = 2.9091 (±1.1362), AE = 2.0592 (±0.9451), Ho = 0.4086 (±0.2977), He = 0.4052 (±0.2767); and Karadağ population: nk = 2.5455 (±1.1282), AE = 1.8809 (±0.8758), Ho = 0.3388 (±0.2775), He = 0.3607 (±0.2716). Population differences for major genetic parameters were not significant (p > 0.05) by comparisons with paired t-test. Also, temporal change in genetic diversity for Bozdağ population was investigated by comparison with temporal data. Temporal changes in genetic parameters were found to be not significant and possible causes for differences were argued. Additionally, genetic diversity and PI computations for different traps were verified and compared to uncover any potential bias due to the catching method. Comparisons did not reveal significant differences illustrating the homogeneity among traps. On the other hand, simulations detected the higher sensitivity of allelic diversity (A) to founder events than P and heterozygosity (Ho & He) levels which supports heterozygosity excess method for bottleneck analysis. With the same simulation analysis, observed genetic diversity within reintroduced samples were found to be in the ranges of expectation (99% CI) indicating that translocated individuals were chosen randomly. Bottleneck analysis based on heterozygosity excess method (one-tailed test for heterozygosity excess: pSMM = 0.28515, pTPM = 0.06445, pIAM = 0.02441) and allele frequency distributions method (normal L-shaped) could not detect a recent genetic bottleneck for Bozdağ population. However, simulations determined that these two methods are prone to type II error. Bottleneck detection failure for the study population is probably due to type II error instead of other sources of error like violations of model assumptions.

Subject Keywords

Biology.

URI

http://etd.lib.metu.edu.tr/upload/3/12610015/index.pdf
https://hdl.handle.net/11511/17799

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Graduate School of Natural and Applied Sciences, Thesis