<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Siberian stone pine (<italic>Pinus sibirica</italic> Du Tour) is a key component of the Eurasian boreal forest ecosystems. However, due to the ongoing climatic changes and anthropogenic activities, the habitats of the species are constantly degrading and reducing. To these reasons, exploring the genetic resources of the species and determining the genetic diversity and structure of today’s populations is essential. In this study, we assessed genetic diversity and differentiation in six Siberian stone pine populations from different forest zones in Middle Siberia. Based on seven microsatellite nuclear markers (nSSR), moderate level of genetic diversity (<italic>He</italic>=0.455) was detected. A population structure analysis divided the six Siberian stone pine populations into two groups. Southernmost populations were distinguished from the others. Analysis of molecular variance (AMOVA) showed that only 2 % of the genetic variation occurred among populations. Our findings suggest that extensive gene flow may prevent genetic differentiation among Siberian stone pine populations. Hence, further genetic diversity estimation with additional loci is needed for crucial insight into the gene pool of Siberian stone pine populations.</p>
</abstract>

Siberian stone pine (Pinus sibirica Du Tour) is a key component of the Eurasian boreal forest ecosystems. However, due to the ongoing climatic changes and anthropogenic activities, the habitats of the species are constantly degrading and reducing. To these reasons, exploring the genetic resources of the species and determining the genetic diversity and structure of today’s populations is essential. In this study, we assessed genetic diversity and differentiation in six Siberian stone pine populations from different forest zones in Middle Siberia. Based on seven microsatellite nuclear markers (nSSR), moderate level of genetic diversity (He=0.455) was detected. A population structure analysis divided the six Siberian stone pine populations into two groups. Southernmost populations were distinguished from the others. Analysis of molecular variance (AMOVA) showed that only 2 % of the genetic variation occurred among populations. Our findings suggest that extensive gene flow may prevent genetic differentiation among Siberian stone pine populations. Hence, further genetic diversity estimation with additional loci is needed for crucial insight into the gene pool of Siberian stone pine populations.

Genetic diversity and structure of Siberian Stone Pine (<italic>Pinus sibirica</italic> Du Tour) populations

Reshetnev Siberian State University of Science and Technology

Silvae Genetica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Genetic diversity and structure of Siberian Stone Pine ( Du Tour) populations

Siberian stone pine (Pinus sibirica Du Tour) is a key component of the Eurasian boreal forest ecosystems. However, due to the ongoing climatic changes and...

Genetic diversity and structure of Siberian Stone Pine (Pinus sibirica Du Tour) populations

Publié en ligne: 17 avr. 2023

Pages: 25 - 33

DOI: https://doi.org/10.2478/sg-2023-0003

Mots clés
Siberian stone pine, nuclear microsatellite markers (nSSR), genetic diversity, genetic structure, Siberia

© 2023 Marina Sheller et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Genetic diversity and structure of Siberian Stone Pine (Pinus sibirica Du Tour) populations

Publié en ligne: 17 avr. 2023

Pages: 25 - 33

DOI: https://doi.org/10.2478/sg-2023-0003

Mots clésSiberian stone pine, nuclear microsatellite markers (nSSR), genetic diversity, genetic structure, Siberia

© 2023 Marina Sheller et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Siberian stone pine, nuclear microsatellite markers (nSSR), genetic diversity, genetic structure, Siberia