Assessment of the state of gene pools of Pinus sylvestris L. populations in the east and northeast of the East European plain
Автор: Sboeva Ya.V.
Журнал: Вестник Пермского университета. Серия: Биология @vestnik-psu-bio
Рубрика: Генетика
Статья в выпуске: 4, 2023 года.
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A molecular genetic analysis of horologically related populations of Pinus sylvestris L. was carried out. In the east and northeast of the East European Plain using intermicrosatellite analysis of DNA polymorphism. Data on the genetic diversity of populations were obtained and the state of their gene pools was assessed. The studied populations of Scots pine have a high genetic diversity (P95= 0.938, HE= 0.170, ne= 1.540). Of the 144 DNA fragments, only 3 (0.021%) are rare. The analysis of the share of rare alleles showed that the genetic structure is less balanced in the populations of Verkhnevetluzhskaya (h= 0.254) and Vetluzhsko-Vyatka (h= 0.273). The most balanced genetic structure was observed in the Moloma population (h=0.112) and in the North Vyatka-Uvala population (h=0.127). When assessing the state of gene pools, it was found that the highest values of the coefficient of genetic originality (CSR) were found in the populations of Sysolo-Vychegodskaya (1,164) and Volga-Vetluzhskaya (1.140). This indicates the high specificity of the gene pools of these populations. The lowest values of CLO were determined in the Vetluzhsko-Vyatskaya (0.857) and Volzhsko-Surinskaya (0.875) populations. Analysis of all three groups of indicators of the state of gene pools of populations showed that, taking into account the genetic structure and genetic originality, 6 populations of P. sylvestris have a satisfactory state of gene pools, and two populations (Verkhnevetluzhskaya and Vetluzhsko-Vyatka) have depleted gene pools. When selecting trees for conservation and reforestation, it is necessary to preserve populations with both typical and specific gene pools.
Dna polymorphism, genetic diversity, population gene pool, pinus sylvestris l., east european plain
Короткий адрес: https://sciup.org/147242771
IDR: 147242771 | DOI: 10.17072/1994-9952-2023-4-375-384