Genetic and Selection Assessment of the Scots Pine (Pinus Sylvestris L.) in Forest Seed Orchards

Khanova, Elvira; Konovalov, V. F.; Timer'yanov, A. Sh.; Isyanyulova, Regina; Rafikova, Dina

doi:10.37763/wr.1336-4561/65.2.283292

Cited by 9 publications

(5 citation statements)

References 8 publications

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“…Thus, the values of the number of effective alleles and expected heterozygosity for plus trees were 1.31-1.48 and 0.205-0.298, respectively, while for natural populations these were 1.27-1.39 and 0.174-0.241 (Sheikina, 2022a). A similar value of the expected heterozygosity of ISSR loci (He = 0.239) was identified for plus Scots pine trees from the Republic of Bashkortostan (Khanova et al, 2020). Lower values of expected heterozygosity were determined for Scots pine populations on the Russian Plain (He = 0.046-0.239) (Vidyakin et al, 2015;Prishnivskaya et al, 2019;Vasilyeva et al, 2021;Sboeva et al, 2022) and in the Urals (He = 0.149-0.185) (Chertov et al, 2022).…”

Section: Discussionsupporting

confidence: 55%

“…Molecular markers have become an effective tool that solves a wide range of issues in the field of forest selection and seed production, as well as estimates the genetic diversity of plus trees (Sheikina, 2022b). To assess the variability of Scots pine plus trees and tree gene banks established by their offspring, different researchers used isoenzymes (Shigapov, 1995), ISSR markers (Milyutina et al, 2013;Khanova et al, 2020) and microsatellites (Ilinov, Raevsky, 2021;Kamalov et al, 2022). The results of comparative studies of the genetic diversity of the plus gene pool of tree species and natural populations showed contradictory results.…”

Section: Introductionmentioning

confidence: 99%

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Variability of Scots pine (<i>Pinus sylvestris</i> L.) plus trees in the Middle and Upper Volga Region with the use of ISSR markers

Sheikina,

Romanov

2024

Vestn. VOGiS

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One of the serious issues in forest breeding is how to reduce the variability level in breeding populations of forest tree species that is a set of selected plus trees. The problem is that variability is jeopardized by the risk of losing the genetic diversity of future artificial forests, as well as emerging inbreeding depression in the seed plus trees progeny. DNA markers are an effective tool to study variability, identify features of the genetic structure and degree of plant differentiation. The research focuses on assessing the level of the genetic diversity and the degree of differentiation of plus trees of various geographic origin with the use of ISSR markers. We used six ISSR primers to study 270 plus trees grown in the Penza region, the Chuvash Republic, the Republic of Tatarstan and the Mari El Republic. The samples of plus trees under study were characterized by different levels of genetic diversity. Two hundred fifteen PCR fragments were identified for six ISSR primers in total, while the number of amplified fragments varied from 186 to 201 in different plus trees samples. The genetic variabil ity varied within the following limits: 95.7–96.9 %, polymorphic loci; 1.96–1.97, the number of alleles per locus; 1.31–1.48, the number of effective alleles per locus: finally, 0.291–0.429, Shannon’s index; 0.205–0.298, the expected heterozygosity. According to the analysis of molecular variance (AMOVA), 82 % of the variability of ISSR markers is typical for the plus tree samples, while only 18 % is variability among the compared groups of trees from different geographical zones. The dendrogram generated by UPGMA showed that the plus trees grown in the Penza region, the Chuvash Republic and the Republic of Tatarstan are similar in term of the genetic structure of plus trees, while the plus gene pool of Scots pine from the Mari El Republic stands alone. The results of the research prove that the level of genetic diversity, the structure of genetic variability, and the nature of differentiation of plus trees are consistent with those previously elicited for natural populations of Scots pine in the Middle and Upper Volga region.

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Section: Discussionsupporting

confidence: 55%

Section: Introductionmentioning

confidence: 99%

Variability of Scots pine (<i>Pinus sylvestris</i> L.) plus trees in the Middle and Upper Volga Region with the use of ISSR markers

Sheikina,

Romanov

2024

Vestn. VOGiS

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“…As a result of the study, a medium level of genetic diversity in P. sylvestris populations was revealed (I = 0.183; H e = 0.119; n e = 1.195), it is common for populations from the Southern part of the East European Plain, but less than the level of genetic diversity of the South Urals populations [41]. The greatest genetic diversity was revealed in the central populations, PS_DARO, PS_YURY and PS_BELO.…”

Section: Genetic Diversity Of P Sylvestrismentioning

confidence: 81%

Genetic Diversity, Structure, and Differentiation of Pinus sylvestris L. Populations in the East European Plain and the Middle Urals

Sboeva

Chertov

Nechaeva

et al. 2022

Forests

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Genetic diversity is important for the long-term survival of species and plays a critical role in their conservation. To manifest the adaptive potential, it is necessary to preserve the allelic diversity of populations, including both typical and region-specific alleles. Molecular genetic analysis of 22 populations of Scotch pine (Pinus sylvestris L.; Pinaceae) in 10 subjects of the Russian Federation in the East European Plain and the Middle Urals was carried out. Molecular genetic analysis of 22 populations of P. sylvestris revealed 182 polymorphic PCR fragments. The studied populations are characterized by a medium level of genetic diversity. A high subdivision coefficient (GST) of the studied populations was established; the intensity was 0.559. At the same time, the level of subdivision differed for different regions; for the populations from the Middle Urals, it was 15.5% (GST = 0.155), and for the populations from the East European Plain, it was 55.8% (GST = 0.558). The dendrogram of genetic similarity shows five clusters of the studied populations of P. sylvestris according to their geographical location. The populations from the East European Plain are mostly characterized by typicality, while the populations from the Middle Urals, on the contrary, are more specific in gene pools. The use of the coefficient of genetic originality to identify populations with typical and specific alleles allows for solving the problem of selecting populations for the conservation of forest genetic resources. The data obtained on genetic diversity, and the structure of populations growing in areas of active logging, are important for determining the geographical origin of plant samples, which is an integral part of the control of illegal logging.

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“…Scientifically-based use of existing and creating new breeding facilities for the main forest-forming tree species, providing the production of seeds and planting material with improved hereditary properties, is the basis for higher forest productivity, quality and sustainability [35][36][37][38]. Currently, forest seed production in the Bashkortostan Republic is ineffective in providing forest regeneration and reforestation with high-quality planting material.…”

Section: Resultsmentioning

confidence: 99%

Forest Stand Reproduction in the Changing Climate Conditions on the Example of the Bashkortostan Republic

Baiturina¹,

Коновалов²,

Gabdelkhakov³

et al. 2022

IJDNE

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The paper considers the issues of forest reproduction by plantation type based on selection and genetic approaches in forest cultivation and forest seed production. The research explores the growth condition and regularities of common pine plus-trees, the best individuals with high-quality genetically determined traits for creating seed and vegetative seed plantations and further conducting breeding work are identified. There are findings on the genetic variability of trees on forest-seed plantations by ISSR markers on the example of common pine, identifying the existing gene pool of this species. Studies of forest reproduction by plantation type conducted throughout one republic or the planet as a whole provide preconditions for its improvement and higher efficiency of silvicultural works. Scientific and environmental institutions and authorities should join their efforts to develop effective measures to compensate for reforestation forest management.

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Genetic and Selection Assessment of the Scots Pine (Pinus Sylvestris L.) in Forest Seed Orchards

Cited by 9 publications

References 8 publications

Variability of Scots pine (<i>Pinus sylvestris</i> L.) plus trees in the Middle and Upper Volga Region with the use of ISSR markers

Variability of Scots pine (<i>Pinus sylvestris</i> L.) plus trees in the Middle and Upper Volga Region with the use of ISSR markers

Genetic Diversity, Structure, and Differentiation of Pinus sylvestris L. Populations in the East European Plain and the Middle Urals

Forest Stand Reproduction in the Changing Climate Conditions on the Example of the Bashkortostan Republic

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