Genetic composition of four marginally located Anatolian black pine (Pinus nigra subsp. pallasiana) populations determined by SSR markers

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2018
Aygün, Sıla
Anatolian black pine (Pinus nigra Arnold subsp. pallasiana (Lamb.) Holmboe) is one of the most economically and ecologically important coniferous tree species of Turkey. Global climate change is obviously going to affect distribution and development of forest tree species and the marginal populations will be the most vulnerable ones. Since these populations are located in outer borders of their natural distribution area, they are expected to have original genetic makeup shaped by unsuitable living conditions. To predict the future of forest ecosystems, it is important to determine the genetic composition and adaptation processes on lifecycle of these populations. In this thesis, genetic makeup of 4 Anatolian black pine marginal populations were studied in 3 different life stages (seed, seedling and mature stages). Totally 720 genotypes were investigated by means of 10 microsatellite DNA (SSR: single sequence repeats) markers. It was found that, heterozygosity values were low (Ho: 0.22±0.01) and level of genetic differentiation was high (FST: 0.13±0.03) among populations. In addition, it was determined how natural selection and fitness affect these populations’ genetic diversity in different life stages. Obtained data showed that genetic diversity gradually diminished after natural selection from seed to mature stages. Among populations in different life stages, seed stage of Beynam population possessed the highest diversity level (Ho: 0.26±.0.04). Hence, it is advised that when afforestation or conservation activities dealing with marginal black pine populations , genetic diversity patterns at the three stages of marginal populations should be considered to improve adaptation of plantations to changing adverse environmental conditions
Citation Formats
S. Aygün, “Genetic composition of four marginally located Anatolian black pine (Pinus nigra subsp. pallasiana) populations determined by SSR markers,” M.S. - Master of Science, 2018.