Genetic diversity and structure of Siberian Stone Pine (<i>Pinus sibirica</i> Du Tour) populations-Reference-Cited by-同舟云学术

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

Published:2023-01-01 Issue:1 Volume:72 Page:25-33
ISSN:2509-8934
Container-title:Silvae Genetica
language:en
Short-container-title:

Author:

Sheller Marina¹²^ORCID,Tóth Endre György³,Mikhaylov Pavel¹,Kulakov Sergey¹⁴,Kulakova Nadezhda¹,Shilkina Elena⁵,Ibe Aleksey⁵,Sukhikh Tatyana⁵,Blanc-Jolivet Céline⁶

Affiliation:

1. Reshetnev Siberian State University of Science and Technology , Krasnoyarsk , Russia

2. Faculty of Silviculture and Forest Engineering , Transilvania University of Brasov , Brasov , Romania

3. Forest Research Institute (FRI) , University of Sopron (UOS) , Várkerület 30/a, Sárvár 9600 , Hungary

4. Sukachev Institute of Forest SB RAS, Federal Research Center «Krasnoyarsk Science Center SB RAS» , Krasnoyarsk , Russia

5. Branch of the Russian Centre of Forest Health – Centre of Forest Health of Krasnoyarsk krai , Krasnoyarsk , Russia

6. Thünen Institute of Forest Genetics , Sieker Landstrasse 2, D-22927 Grosshansdorf , Germany

Abstract

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.

Publisher

Walter de Gruyter GmbH

Subject

Genetics,Forestry

Link

https://www.sciendo.com/pdf/10.2478/sg-2023-0003

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