INFORMATION ABOUT PROJECT,
SUPPORTED BY RUSSIAN SCIENCE FOUNDATION

The information is prepared on the basis of data from the information-analytical system RSF, informative part is represented in the author's edition. All rights belong to the authors, the use or reprinting of materials is permitted only with the prior consent of the authors.

 

COMMON PART


Project Number22-24-00665

Project titleGenetic diversity, phylogeography and historical demography of representatives of dark coniferous forests of Siberia and the Far East

Project LeadSemerikov Vladimir

AffiliationInstitute of Plant and Animal Ecology RAS (Ural Div.),

Implementation period 2022 - 2023 

Research area 04 - BIOLOGY AND LIFE SCIENCES, 04-102 - Botanics

KeywordsAbies, Pinus, genetic diversity, microsatellites, mitochondrial DNA, phylogeography, historical demography, Northern Eurasia, Quaternary


 

PROJECT CONTENT


Annotation
Information about the magnitude and structure of genetic variability is a necessary prerequisite for studying the history of a species, its evolution, ways of adaptation in a heterogeneous habitat, as well as for planning measures to preserve biological diversity and ecosystem sustainability. This is fully applied to the Siberian species of conifers, in view of their enormous economic and forest-forming importance. Maternally inherited markers (in conifers, these are mitochondrial DNA markers) are quite effective for studying the spatial structure of genetic variability and identifying geographic groups of populations that are genetically different from each other. In combination with paleontological data, such studies make it possible to substantiate hypotheses about the past of the species - about the extinctions and isolation of individual parts of the range, about the sources and routes of colonization and the causes of these processes. A quantitative assessment of the structure of genetic variability and statistically valid testing of historical hypotheses requires the use of Bayesian methods for analyzing the genetic structure (for example, using the STRUCTURE method) and modeling of historical and demographic processes within the framework of the ABC (Approximate Bayesian Computation) method. These methods assume the use of multiple, highly variable, unlinked markers such as microsatellite loci, sequence data, SNP, or RADseq. Earlier, genetic variability and phylogeography of Siberian and Far Eastern representatives of dark coniferous forests - Siberian fir (Abies sibirica), white fir (A. nephrolepis), Sakhalin (A. sachalinensis), Kamchatka (A. gracilis), Semenov (A. semenovii) firs were studied using nuclear (allozymes and AFLP), chloroplast (cpSSR) and four mitochondrial markers (Semerikova, Semerikov, 2006,2007,2009; Semerikova et al., 2011,2012; Semerikov et al., 2019). The parameters of variability were estimated, and the subdivision of the populations of the studied species was revealed. Siberian fir has several large, fairly genetically homogeneous geographical groups of populations, which presumably formed as a result of dispersal from separate sources - glacial refugia located in the mountain systems of southern Siberia and the Urals (Semerikova, Semerikov, 2006,2007,2009; Semerikov et al. , 2019). Two Far Eastern species - white fir and Sakhalin fir, have formed a hybrid complex on Sakhalin, formed as a result of the displacement of the northern Sakhalin fir, which is closely related to the white bark fir, by the southern forms of fir (Semerikova et al., 2011). Two rare species - Kamchatka fir and Semenov fir - showed low polymorphism and its almost complete absence, respectively, which is presumably a consequence of past extinctions and the current low population size (Semerikova et al, 2011, 2012). At the same time, research experience indicates the advisability of increasing the set of mitochondrial DNA markers for studying the phylogeography of fir species. Studies of the variability of the nuclear genome using multigenic markers throughout the range in Russian fir species have not been carried out. In a previous study (Semerikov et al., 2019), we compared the phylogeography and history in the Late Pleistocene - Holocene of two Siberian taiga ecosystem engineers - Siberian fir and Siberian larch, which have significantly different ecological requirements. It would be interesting additionally to compare the phylogeography of these species with the phylogeography of Siberian pine, a species ecologically closer than larch to Siberian fir. The structure of variability of Siberian pine was previously studied over most of the range using allozyme markers (Krutovsky et al., 1987; 1988; 1989; Politov and Krutovsky, 1990; Politov, 2007). Despite the low level of inter-population divergence, a genetic subdivision of the species' range into several main groups of populations was found (Politov, 2007). Based on nuclear microsatellite loci, the genetic diversity and differentiation of Siberian pine populations were studied at the level of local population groups (Oreshkova et al., 2014; Oreshkova et al., 2020), without taking into account the entire range. Thus, an urgent task for further population studies of these species is the analysis of mitochondrial DNA variability using an expanded set of markers, as well as quantitative estimates of the existing phylogeographic hypotheses and parameters of demographic models, which requires studies of nuclear genome variability using multigene markers, such as microsatellite loci. Within the framework of the proposed project, we are pursuing the following goals: 1. It is necessary to evaluate and compare the parameters of variability in species and main geographic groups within species in A. sibirica, A. nephrolepis, A. sachalinensis, A. gracilis, A. semenovii and Pinus sibirica. 2. Clarify the number of genetic clusters (groups of populations) and their geographic boundaries. 3. Using ABC modeling to estimate the parameters of the model of the most plausible scenarios, such as the time of divergence of groups of populations of Siberian fir and Siberian pine, the time of separation of Kamchatka fir from Sakhalin fir, Semyonov fir from Siberian fir, and the age of the bottleneck that caused the reduced diversity of Kamchatka fir. To achieve these goals, we intend to use an expanded set of mitochondrial DNA markers and microsatellite loci. Recent studies of the phylogeny of fir on the basis of mitochondrial DNA (unpublished) have revealed variable loci in Siberian, white-barked and Sakhalin fir, which can significantly improve the ability to describe the spatial structure. In addition, at present, 19 microsatellite loci (Kwak et al., 2017) have been developed and used in a population study of Korean fir, a close relative of Siberian fir, that can be applied to Russian fir species. To study Siberian pine, 10 microsatellite loci developed for this species and already tested in preliminary studies and loci (about 20) developed for other pine species will be used. The work will use the samples used in previous studies.

Expected results
New microsatellite and mitochondrial markers will be tested and methods of analysis will be developed both for further research and for applied purposes. The magnitude and structure of variability of microsatellite loci and markers of mitochondrial DNA in Siberian fir, other species of fir and Siberian pine will be estimated. The main phylogeographic groups will be identified, location of glacial refugia, areas of recent colonization and secondary contacts of phylogeographic groups will be clarified. Based on ABC modeling, the most plausible demographic scenarios will be selected and estimates of the age of separation of the main population groups will be made. The results obtained will significantly expand the understanding of the history of dark coniferous woods, the paleogeography of the study area and the evolution of the studied species. The developed methodology and the resulting database of allele frequencies of microsatellite loci and mitochondrial haplotypes obtained as a result of the study will serve as a basis for developing strategies for the conservation of genetic diversity of species (forest seed regions, genetic reserves, revision of "selection zones", certification of seed and planting material, etc.).


 

REPORTS


Annotation of the results obtained in 2023
1 A study was conducted of the structure of genetic variability of 17 nuclear microsatellite loci and one newly developed mitochondrial marker in fir species from the Balsamea section of the Russian Far East. Using the STRUCTURE method, differentiation of the Sakhalin fir Abies sachalinensis into four groups in the latitudinal direction was revealed (Fig. 1). These groups were distinguished from the continental fir populations of A. nephrolepis and Kamchatka fir A. gracilis. The presence of A. sachalinensis genes has been noted in populations on the western shore of the Strait of Tatar, indicating genetic flow between Sakhalin and the continent. 2 Polymorphism of two SNPs in the mitochondrial genome of Far Eastern firs was confirmed. One of them differentiates Sakhalin fir into a southern and northern cluster, and the presence of the South Sakhalin mitotype on the western side of the Tatar Strait confirms the transfer of seeds across the strait. 3 A demographic study of Far Eastern species based on microsatellite data and using ABC modeling identified the most supported demographic scenario, in which the Kamchatka fir A. gracilis diverged from the North Sakhalin populations rather than from A. nephrolepis or the South Sakhalin A. sachalinensis. According to ABC estimates, the split of the ancestor of the continental A. nephrolepis and the ancestor of the southern form of A. sachalinensis occurred about 600 thousand years ago; A. nephrolepis and the northern form of A. sachalinensis separated around 300 thousand years ago; Kamchatka fir A. gracilis separated from the northern form of A. sachalinensis 37 thousand years ago; the populations of the central part of Sakhalin arose as a result of admixture of the North Sakhalin and South Sakhalin populations 18 thousand years ago; fir in the Kuril Islands and Hokkaido separated from the South Sakhalin populations about 118 thousand years ago. n. 4 ABC study of Siberian fir using 17 microsatellite loci estimated the separation of the Yenisei populations of Siberian fir from the Baikal ones occurred about 28 thousand years ago, and the hybrid origin of the North Ural populations as a result of admixture of the South Ural and Baikal populations about 35 thousand years ago, i.e. around the last glacial maximum. 5 For Siberian pine, 2 multiplex sets of nuclear microsatellite markers (20 loci) have been developed for analysis on a sequencer. 6 It has been established that in the north of the Urals, Siberian pine populations are of mixed origin from the descendants of the populations from the Kuznetsk Alatau and the Middle Urals. According to ABC modeling, the formation of mixed North Ural populations occurred during the early-mid Holocene (about 10 thousand years ago). In addition, the increased number of microsatellite loci (20) and greater sampling of material once again confirmed the previously obtained estimates of the time of separation of the Siberian pine populations of the Urals and Kuznetsk Alatau (37-20 thousand years ago), which coincided with the time of sharp climatic changes in MIS 2 period (marine isotope stage). 7. During the analysis of genetic differentiation using the STRUCTURE method of Siberian pine from the Middle Urals, Northern Urals and Cis-Urals, it was discovered that the populations of the Cis-Urals have a secondary mixed origin from populations of the Middle Urals and “admixture” populations of the Northern Urals. Also, according to ABC estimates, the age of the “admixture” event for the westernmost population of pine in the Cis-Urals is estimated at 4 thousand years ago. 8. The hypothesis about the presence of a Yenisei cluster of populations in the Siberian pine, similar to that of the Siberian fir, was not confirmed. Siberian pine, growing on the Yenisei Plain and in neighboring geographical areas (Chulym-Yenisei Basin, Minusinsk Basin, Chulym Plain), has a mixed origin from clusters of populations of the Western Sayan and Kuznetsk Alatau. 9. Checking the hybridogenic status of the origin of Siberian pine populations from Western Sayan using population structure analysis and modeling demographic scenarios as descendants of Altai and Eastern Sayan populations established that a group of pine populations from Western Sayan descended from Altai populations approximately 8 thousand years ago. Thus, the mixed status of pine pine populations from the Western Sayan was not confirmed. However, the pine populations of the Western Sayan subsequently experienced, in the Holocene, the influence of gene flow from the pine populations of the Eastern Sayan, increasing to the east. 10. The results of research within the framework of this RSF project are posted on the network: https://ipae.uran.ru/node/1295

 

Publications

1. Semerikov V.L., Semerikova S.A. Variability of Nuclear Microsatellite Loci and Population History of the Widespread Siberian fir Abies sibirica and the Tien Shan Endemic Semenov’s fir A. semenovii Russian Journal of Ecology, ISSN 1067-4136, Russian Journal of Ecology, 2023, Vol. 54, No. 4, pp. 297–306. © Pleiades Publishing, Ltd., 2023. (year - 2023) https://doi.org/10.1134/S1067413623040094

2. Semerikov V.L., Semerikova S.A. Genetic variation and population history of three related fir species Abies sachalinensis, A. nephrolepis and A. gracilis (Pinaceae) revealed by nuclear microsatellites Botanica Pacifica, Botanica Pacifica. A journal of plant science and conservation. 2023. 12(2): 145–154 (year - 2023) https://doi.org/10.17581/bp.2023.12203

3. Shuvaev D.N., Semerikov V.L., Kuznetsova G.V., Putintseva Y.A. Late Quaternary history of Siberian stone pine as revealed by genetic and paleoecological data Tree Genetics & Genomes, Tree Genetics & Genomes (2023) 19:16 (year - 2023) https://doi.org/10.1007/s11295-023-01592-z


Annotation of the results obtained in 2022
Studies of the population structure and genetic variability of northern Eurasian firs, carried out using allozyme markers, cpSSRs, AFLP, and mitochondrial DNA, have expanded our understanding of the origin and history of these species. Nevertheless, the data obtained were clearly insufficient to judge with certainty about past demographic processes within species in their connection with Pleistocene climatic oscillations and, as a result, changes in the paleogeographic situation in the territory of Northern Eurasia. For another important component of the dark coniferous taiga formation, the Siberian pine, no data that would allow drawing conclusions about its historical biogeography have yet been presented. Modeling demographic events of the past (changes in population size, time of divergence-hybridization of populations, etc.) requires the use of unlinked autosomal loci with a sufficiently high level of variability. Therefore, we used nuclear microsatellite markers, which are well suited for analyzing genetic variation and establishing genetic relationships between populations (Selkoe and Toonen 2006). In this project, we investigate the demographic models of Siberian fir, Semenov fir, and Siberian pine by estimating the parameters of past demographic events based on data on the variability of nuclear microsatellite loci. The construction of demographic models of the considered species was based on a number of prerequisites. To reveal the ancient migration history, we used data on the variability of mitochondrial DNA loci. Information on past species ranges was obtained from a survey of pollen and macrofossil databases (Binney et al. 2009; 2017). We also applied the maximum entropy (MaxEnt) method to model the distribution of species in past climatic periods. Using these approaches, a number of demographic history models were formally validated to determine the most likely scenarios and parameters of demographic models, such as the age of key divergence-hybridization events, effective population size, hybridization parameters, etc. The following results were obtained: 1. 1135 individuals of five species of fir were genotyped based on 15-18 nuclear microsatellite loci, depending on the species. 2. Estimates of intraspecific variability have been obtained. In Siberian fir, the average number of alleles (Na), observed and expected heterozygosities (Ho and He) were 5.212, 0.565, and 0.569, respectively. In Semenov fir, these parameters were much smaller: 1.600, 0.054, and 0.097, respectively, which obviously reflects the long-term isolation of this species from Siberian fir and the small size of the population. 3. The study of the structure of variability of Siberian fir using the STRUCTURE method with the number of groups K = 5 revealed the following groups: Altai, Salair and Kuznetsk Alatau (i), Southern and Middle Urals (ii), Northern and Subpolar Urals (iii), Baikal and Eastern Sayan (iv), Lower Yenisei (v) (Fig. 1). 4. As a result of demographic modeling of Siberian fir populations based on genotypic data on nuclear microsatellite loci, the most likely scenario was chosen (includes the separation of the Altai and Baikal groups with further separation from the Baikal group of the South Urals and finally the emergence of the North Ural group as a result of admixure of Baikal and South Ural groups, Fig. 2) and the posterior distributions of the model parameters were calculated: the effective population size of the groups (median) varied from 3000 in the Northern Urals to 15000 in Altai. The time of formation of the North Ural group (median) was 34,000 years, assuming a generation time of 100 years, and a hybridization coefficient r1 = 0.8, meaning that the Northern Urals was mainly populated by migrants from the Southern Urals and, to a lesser extent, by migrants from the Baikal region. The southern Urals population arose as a result of settlement from the Baikal region about 90,000 years ago, and the Altai and Baikal groups diverged about 165,000 years ago. The contribution of the Altai group to the genetic pool of the South Ural group, if we consider an alternative scenario with a hybrid origin of the latter, turns out to be less than 0.1. This looks strange if we take into account the presence of the Altai mitotype in the south of the Urals. Perhaps this discrepancy is due to the fact that during migrations in the source of colonization in Southern Siberia, both mitotypes, now segregated in the Altai-Western Sayan region and in the Eastern Sayan-Baikal region, respectively, coexisted together and penetrated to the Urals together. It is also possible that the colonization of the Southern Urals occurred both from the Altai group and from the Baikal group, but not simultaneously, and the adaptation of these groups to different ecological conditions determined the selective advantage of the Baikal group, which basically replaced the genes of the Altai group in the Urals in the process of hybridization. At the same time, the Altai mitotype was preserved due to maternal inheritance of mitochondrial DNA. 6. Modeling the demography of Semenov fir gave estimates of the effective population size of Semenov fir and two South Siberian groups of Siberian fir (Altai and Baikal) as 200 individuals, 15,000 and 10,000 individuals, respectively. The time of separation of the Semenov and Siberian firs is estimated as 1.0 – 2.5 Ma. These estimates explain the extremely low level of variability of Semenov fir. They are quite consistent with the existing ideas about the steady trend towards aridization of Central Asia throughout the Pleistocene, due to both global climatic processes and regional factors - the continued growth of the mountain ranges of Central Asia - the Himalayas, Hindu Kush, Kun-Lun, Tien Shan (Fortuna et al., 2018; Song et al., 2021). 7. Siberian stone pine (Pinus sibirica Du Tour) is one of the key components of the dark coniferous taiga formation, the biogeographic history of which has remained poorly understood until recently. In this study, we carried out a comprehensive reconstruction of the late Quaternary history of Siberian pine. To do this, we used data from genetic variability, paleobotany, and ecological niche modeling to penetrate into the past of the species and identify refugia and dispersal patterns of Siberian pine from the last interglacial to the Holocene. In total, 42 natural populations of Siberian pine (1130 trees) were studied, representing a large part of the species range. The mitochondrial pattern of variation was revealed using two loci by single-stranded conformational polymorphism (SSCP). Demographic scenarios and population structure were examined using 8 nuclear microsatellite DNA loci. For the paleobotanical review, we used published works on pollen and macrofossils of Siberian pine using the database of Binney et al. (2009; 2017). Ecological modeling of the range of Siberian pine was carried out using the MaxEnt 3.4.1 program for the present, the Middle Holocene (8-4 ka), the last glacial maximum (LGM) (21 ka) and the last interglacial (130 t . l. n.). During the study, it was found that the populations of Siberian pine from the Western Sayan and Altai, Eastern Sayan, Kuznetsk Alatau and the Urals represent four genetically isolated clusters (Fig. 3, 4), preserved in mountain refugia during the last glacial maximum (22 thousand years ago). However, the results of the analysis of the variability of mitochondrial and nuclear DNA showed that the processes of the spread of Siberian pine in the subsequent Holocene epoch (last 10000 years) were heterogeneous. Thus, Siberian stone pine populations from Altai and Western Sayan did not participate in the recolonization of the West Siberian Plain, since they had a common mitotype, which was not found outside the Altai-Sayan mountainous country. Eastern populations of Siberian pine dispersed in the Holocene from the Eastern Sayan and / or the coast of Lake. Baikal. In the Holocene, Siberian pine populated the West Siberian Plain from two centers – the Urals and the Kuznetsk Alatau. At the same time, two groups of populations were formed, separated approximately along the middle of the West Siberian Plain. However, the populations of the Urals and Kuznetsk Alatau have a common mitotype and probably diverged relatively recently during the early Zyryanka glaciation (71-57 thousand years ago) and/or Sartan glaciation (29-14 thousand years ago). To estimate the time of divergence, ABC modeling was carried out on the basis of microsatellite data which regards the demographic scenarios for the separation of the Ural group and the Kuznetsk Alatau group. One demographic scenario was tested (Fig. 5), where: t2 is the time of divergence of the populations in Southern Siberia (Altai, Kuznetsk Alatau, Eastern Sayan); t1 is the time of separation of the Ural group of populations from the Kuznetsk Alatau group. The ABC simulations determined the distribution mode of the time of this divergence to be approximately 37.8 kyr with a confidence interval of 10-100 thousand y. a. 37.8 thousand y. a. corresponds to the end of Karginskii interstadial and the beginning of the Sartan glaciation, but the confidence interval did not exclude the possibility of the first divergence of the Ural group during the early Zyryanka glaciation. P. sibirica could have penetrated into the Urals from the Kuznetsk Alatau during the last interglacial (Kazantsevo: 130-71 thousand years ago). Ecological niche modeling and paleodata indicated favorable conditions for Siberian pine in Western Siberia during the Kazantsevo Interglacial. Lately, two disjunctions between the Urals and the Kuznetsk Alatau could have occurred during two successive glaciations - Early Zyryanka (71-57 thousand years ago) and Sartan (29-14 thousand years ago).

 

Publications