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Chloroplast DNA Diversity in Populations of P. sylvestris L. from Middle Siberia and the Romanian Carpathians. FORESTS 2021. [DOI: 10.3390/f12121757] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Scots pine is one of the dominant conifer species in forest ecosystems of the boreal zone in Eurasia. Knowledge of the genetic structure and the level of genetic variability of Scots pine populations is relevant for the development of measures aimed at conservation of species’ diversity. In this study, we used ten paternally inherited chloroplast microsatellite loci to investigate the genetic diversity of nineteen Scots pine populations from Middle Siberia and the Romanian Carpathians. The results of the study showed high genetic diversity (HCP = 0.91–1.00) in all of the investigated populations. The cpSSR analysis yielded a total of 158 haplotypes. The majority of the haplotypes (85%) were detected only once (unique haplotypes). Three common haplotypes were found between the Carpathian and the Siberian populations of Scots pine. Analysis of molecular variance (AMOVA) showed that only 3% of the variation occurred among populations from Middle Siberia and 6% of the variation existed among populations from the Carpathian Mountains. Overall, we found a weak geographic population structure in Scots pine from Middle Siberia and the Romanian Carpathians. The present study on genetic diversity in the Siberian and the Carpathian populations of Scots pine may contribute to the sustainable management and conservation of Scots pine genetic resources in Middle Siberia and the Romanian Carpathians.
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Genetic resources of relict populations of Pinus sylvestris (L.) in Western Carpathians assessed by chloroplast microsatellites. Biologia (Bratisl) 2019. [DOI: 10.2478/s11756-019-00255-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
AbstractThe relict character of the Scots pine populations from the Tatra Mts. (Western Carpathians) was formed on scarcely accessible, ecologically extreme habitats, in areas which were not under human activity. An exhaustive genetic analysis of the Scots pine populations from the refugial locations in the Tatra Mts. (Poland) had not yet been. In this study, we characterize the genetic variation and differentiation of the relict Scots pine populations from the Tatra Mts., to provide information on their genetic resources and the conservation implications. Eight paternally inherited chloroplast microsatellite loci were used to investigate the genetic structure of 4 relict populations, which were compared with the natural populations from the Baltic region (5 populations from Lithuania, Latvia and Estonia) and to a northern range from Russia (5 populations from the Kola Peninsula and Arkhangelsk Oblast). The four relict pine populations were characterized by a lower level of genetic variation when compared to the Baltic and northern populations, which was expressed in lower values of particular genetic parameters: numbers of alleles and haplotypes, haplotype genetic diversity, haplotype differentiation, and mean genetic distance between individuals in the population. Our results revealed a very high and significant genetic differentiation between all the analyzed populations, as well as between the three analyzed regions (PhiPT = 8%). Furthermore, the relict populations within a close geographic location showed higher differentiation (PhiPT = 5%) compared to the northern Russian and Baltic populations that were separated by tens and hundreds of kilometers. The relict populations of P. sylvestris from the Tatra Mts. deserve conservation efforts due to the fact that they are an important component if the species-poor Tatra forests.
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Genetic Diversity and Its Spatial Distribution in Self-Regenerating Norway Spruce and Scots Pine Stands. FORESTS 2017. [DOI: 10.3390/f8120470] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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