Genetic diversity and differentiation of Pinus sylvestris L. cenopopulations growing in bog land and upland ecotopes | Vestnik Tomskogo gosudarstvennogo universiteta. Biologiya - Tomsk State University Journal of Biology. 2020. № 50. DOI: 10.17223/19988591/50/5

Genetic diversity and differentiation of Pinus sylvestris L. cenopopulations growing in bog land and upland ecotopes

Scots pine (Pinus sylvestris L.) forming coenopopulations in diverse soil-hydrological conditions is of utmost interest in studying the environmental mechanisms of divergence among populations of tree species. The analysis of protein polymorphism educed the genetic differentiation between bog land and upland coenopopulations of Scots pine, emerging from phenological isolation. Thus, we find it essential to study further the mechanisms of developing the population structure of tree plants with the use of more meaningful methods of molecular genetic analysis that would allow identifying differences at the DNA level. The aim of the research is to study the indicators of genetic diversity and differentiation of coenopopulations of Scots pine growing in contrastive swamp and dry land conditions, using ISSR markers. The polymerase chain reaction (PCR) method with ISSR primers was used to identify the level of genetic polymorphism and differentiation. DNA for analysis was isolated from the cambial layer of the trunk using the CTAB method. Four upland and three bog coenopopulations were studied in total (See Table 1). Within each coenopopulation, 30 trees were analyzed using (CA)6AGCT, (CA)6AG, (CA)6GT, (CA)6AC, (AG)8T and (AG)8GCT primers. We used the following reaction mixture (total volume of 10 pl) to amplify DNA with ISSR primers: 1 pl of PCR buffer; 0.2 pl 10 mM dNTPs; 0.1 pl of 100 pm primer; 1 pl of DNA sample; 0.1 pl of Taq polymerase (2 u / pl); 7.6 pl of water. PCR mode: 5 min. denaturation at 94 °C, 35 cycles: 0.5 min. denaturation at 94 ° C, 45 sec. annealing at 60 ° C, 45 sec elongation at 72 °C, final elongation for 7 min at 72 °C. The PCR results were visualized by electrophoresis in 1.5% agarose gel in TBE buffer. The results were recorded and data were processed using the GelDoc 2000 gel documentation system (Bio-Rad, USA) and the Quantity One® Version 4.6.3 software package. The date analysis was performed by the software tools POPGENE ver. 1.31., POPTREEW, GenAlEx and PAST 3.25. We revealed that out of 215 ISSR-loci elicited in 240 trees out of eight coenopopulations 208 ISSR-loci were polymorphic. The number of elicited ISSR loci in different coenopopulations varied from 162 to 194 (See Table 2). The studied coenopopulations were characterized by different levels of genetic diversity. Indicators of genetic diversity ranged within the following: the proportion of polymorphic loci was 67.9-88.5; the observed number of alleles was 1.679-1.805; effective number of alleles 1.279-1.331; the expected heterozygosity was 0.174-0.207. However, no dependency of genetic diversity indicators on soil-hydrological conditions has been found. Moreover, we considered that dry and bog coenopopulations differed significantly in the ISSR-markers frequency obtained with five of six ISSR-primers, which indicates a different genetic structure (See Table 3). Nei’s genetic distance between different coenopopulations varied from 0.100 to 0.317. The UPGMA dendrogram and analysis of principal coordinates (PCoA) show that the bog forests make up a separate cluster (See Fig. 1 and 2). This may be a sign that there are genetic processes inducing the divergence of dry and bog coenopopulations of Scots pine. The Mantel test shows that genetic distance between populations had a weak positive correlation with geographic distance (R=0.3085, P=0.1728). Analysis of molecular variance (AMOVA) shows that 9% of total variation was accounted for by differences between groups of upland and bog land coenopopulations (See Table 4). The percentage of genetic variation among coenopopulations within compared groups was 13%. The majority of the variation was found within populations (78%). The overall level of genetic subdivision of coenopopulations was 17% (GST=0.17), hence, the main part of genetic variation is inside the coenopopulations (83%) (See Table 5). Thus, we showed a significant impact on the genetic structure formation of P. sylvestris population in this research. The paper contains 5 Tables, 2 Figures and 22 References.

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Keywords

intra- and intercoenopopulational variability, ISSR-markers, Pinus sylvestris L, влажность почвы, внутри- и межценопопуляционная изменчивость, ISSR-маркеры, Pinus sylvestris L, soil moisture

Authors

NameOrganizationE-mail
Sheikina Olga V.Volga State University of Technologyshejkinaov@volgatech.net
Gladkov Yuriy F.Federal Budgetary Institution Russian Center for Forest Protectiondladkov-yuriy@yandex.ru
Всего: 2

References

Захарова К.В., Сейц К.С. Роль экологических факторов в формировании генетической структуры популяций P abies (L.) Karst // Экологическая генетика. 2017. Т. 15, № 2. С. 11-20. doi: 10.17816/ecogen15211-20
Oreshkova N.V., Sedel’nikova T.S., Pimenov A.V., Efremov S.P. Analysis of genetic structure and differentiation of the bog and dry land populations of Pinus sibirica Du Tour based on nuclear microsatellite loci // Russian Journal of Genetic. 2014. Vol. 50 (9). PP. 934-941. doi: 10.1134/S1022795414090105
Криворотова Т.Н., Шейкина О.В. Генетическая структура лесосеменных плантаций и насаждений сосны обыкновенной в Среднем Поволжье // Вестник Поволжского государственного технологического университета. Сер.: Лес. Экология. Природопользование. 2014. № 1 (21). С. 77-86.
O’reilly G.J., Parker W.H., Cheliak W.M. Isozyme differentiation of upland and lowland Picea mariana stands in northern Ontario // Silvae Genetica. 1985. Vol. 34. РР 214-220.
Mosca E., Eckert A.J., Di Pierro E.A., Rocchini D., La Porta N., Belletti P, Neal D.B. The geographical and environmental determinants of genetic diversity for four alpine conifers of the European Alps // Molecular Ecology. 2012. Vol. 21 (22). РР. 5530-5545. doi: 10.1111/mec.12043
Boyle. T., Liengsiri C., Piewluang C. Genetic structure of black spruce on two contrasting sites // Heredity. 1990. Vol. 65. РР. 393-399.
Vidyakin A.I., Boronnikovab S.V., Nechayeva Y.S., Pryshnivskaya Y.V., Boboshina I.V Genetic variation, population structure, and differentiation in scots pine (Pinus sylvestris L.) from the northeast of the Russian Plain as inferred from the molecular genetic analysis data // Russian Journal of Genetic. 2015. Vol. 51 (12). PP. 1213-1220. doi: 10.1134/ S1022795415120133
Hammer O., Harper D.A.T., Ryan P.D. PAST: Paleontological Statistics software package for education and data analysis // Paleontologia Electronica. 2001. Vol. 4 (1). PP. 1-9.
Peakall R., Smouse P.E. GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research an update // Bioinformatics. 2012 Vol. 28 (19). PP. 2537-2539. doi: 10.1093/bioinformatics/bts460
Nei M. Genetic distance between populations // The American Naturalist. 1972. Vol. 106 (949). PP. 283-292.
Nei M. Molecular Population Genetics and Evolution. Amsterdam : North-Holland Publ. Co, 1975. 288 p.
Takezaki N., Nei M, Tamura K. POPTREEW: Web Version of POPTREE for Constructing Population Trees from Allele Frequency Data and Computing Some Other Quantities // Molecular Biology and Evolution. 2014. Vol. 31 (6). PP. 1622-1624. doi: 10.1093/molbev/ msu093
Hui-yu L., Jing J., Gui-feng L., Xu-jun M., Jing-xiang D., Shi-jie L. Genetic variation and division of Pinus sylvestris provenances by ISSR markers // Journal of Forest Research. 2005. Vol. 16 (3). РР. 216-218.
Yeh F.C., Yang R., Boyle T.J., Ye Z., Xiyan J.M. POPGENE 32, Microsoft Window-based Freeware for Population Genetic Analysis, Version 1.32; Molecular Biology and Biotechnology Centre, University of Alberta: Edmonton, Canada. 2000. URL: https://sites. ualberta.ca/~fyeh/popgene.pdf (accessed 15.04.2019).
Doyle J.J., Doyle J.L. A rapid DNA isolation procedure for small quantities of fresh leaf tissue // Phytochemical Bulletin. 1987. Vol. 19. РР. 11-15.
Петрова И.В., Санников С.Н., Черепанова О.Е. Репродуктивная изоляция и генетическая дифференциация суходольных и болотных популяций Pinus sylvestris L. Западной Сибири и Русской равнины // Сибирский лесной журнал. 2017. № 4. С. 2837.
Petrova I.V, Sannikov S.N., Cherepanova O.E., Sannikova N.S. Reproductive isolation and disruptive selection as factors of genetic divergence between Pinus sylvestris L. populations // Russian Journal of Ecology. 2013. № 4. РР 296-302. doi: 10.1134/S1067413613040103
Ларионова А. Я., Экарт А. К. Генетическое разнообразие и дифференциация болотных популяций сосны // Хвойные бореальной зоны. 2010. Т 27, № 1-2. С. 120-126.
Седельникова Т.С., Муратова Е.Н., Пименов А.В. Экологическая обусловленность дифференциации кариотипов болотных и суходольных популяций видов Pinaceae // Ботанический журнал. 2010. Т 95, № 11. С. 1543-1520.
Седельникова Т.С., Пименов А.В., Ефремов С.П., Муратова Е.Н. Особенности генеративной сферы сосны обыкновенной болотных и суходольных популяций // Лесоведение. 2007. № 4. С. 44-50.
Пименов А.В., Седельникова Т.С. Качественная оценка формового разнообразия сосны обыкновенной в лесоболотных комплексах Западной Сибири // Хвойные бореальной зоны. 2012. Т 30, № 1-2. С. 157-161.
Седельникова Т.С., Пименов А.В., Ефремов С.П. Морфология пьшьцы сосны обыкновенной на болотах и суходолах // Лесоведение. 2004. № 6. С. 58-75.
 Genetic diversity and differentiation of <i>Pinus sylvestris</i> L. cenopopulations growing in bog land and upland ecotopes | Vestnik Tomskogo gosudarstvennogo universiteta. Biologiya - Tomsk State University Journal of Biology. 2020. №  50. DOI: 10.17223/19988591/50/5

Genetic diversity and differentiation of Pinus sylvestris L. cenopopulations growing in bog land and upland ecotopes | Vestnik Tomskogo gosudarstvennogo universiteta. Biologiya - Tomsk State University Journal of Biology. 2020. № 50. DOI: 10.17223/19988591/50/5

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