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Dive into the research topics where G. A. Rubtsova is active.

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Featured researches published by G. A. Rubtsova.


Russian Journal of Genetics | 2005

Genetic Divergence of Chars of the Genus Salvelinus from Kronotsky Lake (Kamchatka Peninsula)

E. A. Salmenkova; V. T. Omel’chenko; O. A. Radchenko; N. V. Gordeeva; G. A. Rubtsova; N. S. Romanov

Chars of the genus Salvelinus, inhabiting lakes and lake-river systems, comprise morphological and ecological forms whose taxonomic status is under dispute. In the present work, we have examined genetic variation and divergence in various chars from the Kronotsky lake basin: the lacustrine chars (white, nose, and longhead) and riverine Dolly Varden Salvelinus malma. The study was conducted using analysis of allozyme and microsatellite loci, myogens, RAPD, and restriction analysis of two mtDNA segments. The estimates of heterozygosity at allozyme and microsatellite loci were similar to the corresponding parameters in populations of northern Dolly Varden and Arctic char. Heterozygote deficit was recorded in both samples of separate forms, and in the total sample of all chars from Kronotsky Lake. For allozyme and microsatellite loci, appreciable genetic differentiation among the samples of different char forms was found, which was comparable to that among the spatially isolated populations of northern Dolly Varden. This result indicates reproductive isolation among the char forms examined. However, this isolation is not complete, because no fixed differences between the forms by any of the genetic systems analyzed were found. The genetic differentiation among different forms of lacustrine chars, which corresponds to the interpopulation rather than interspecific level, is thought to be explained by their comparatively recent divergence.


Russian Journal of Marine Biology | 2011

Population Structure of Chum Salmon Oncorhynchus keta in the Russian Far East, as Revealed by Microsatellite Markers

K. I. Afanas’ev; G. A. Rubtsova; M. V. Shitova; T. V. Malinina; T. A. Rakitskaya; V. D. Prokhorovskaya; E. A. Shevlyakov; L. O. Zavarina; L. T. Bachevskaya; I. A. Chereshnev; Vl. A. Brykov; M. Yu. Kovalev; V. A. Shevlyakov; S. V. Sidorova; S. I. Borzov; V. P. Pogodin; L. K. Fedorova; L. A. Zhivotovsky

Chum salmon populations in the Russian Far East have a complex multi-level genetic structure. A total of 53 samples (2446 fish) were grouped into five major regional clusters: the southern Kurils, eastern Sakhalin, southwestern Sakhalin, the Amur River, and a northern cluster. The northern cluster consists of chum salmon populations from a vast geographical region, including Chukotka, Kamchatka, and the continental coast of the Sea of Okhotsk. However, the degree of its genetic differentiation is low, 1.9%. In contrast, the southern population cluster exhibits much higher variation; for example, differentiation between chum salmon groups within Sakhalin Island reaches 4.6%, and the differentiation between Iturup Island and Sakhalin Island chum salmon is 7.7%. This suggests that southern populations of Asian chum salmon have a more ancient evolutionary history than northern populations. In contrast to the available data, our study indicates a great deviation of southwestern Sakhalin populations from other Sakhalin chum salmon. The Russian Far East chum salmon are genetically diverse and show statistically significant differentiation even within small geographic localities. This can be used to assign samples of unknown origins to definite local populations.


Russian Journal of Genetics | 2010

A search for null alleles at the microsatellite locus of chum salmon (Oncorhynchus keta Walbaum)

S. Yu. Kordicheva; G. A. Rubtsova; M. A. Shitova; G. O. Shaikhaev; K. I. Afanasiev

Population studies with the use of microsatellite markers face a problem of null alleles, i.e., the absence of a PCR product, caused by the mutations in the microsatellite flanking regions, which serve as the sites of primer hybridization. In this case, the microsatellite primer associated with such mutation is not amplified, leading to false homozygosity in heterozygous individuals. This, in turn, results in biased population genetic estimates, including the excess of homozygotes at microsatellite loci. Analysis of the population structure of a Pacific salmon species, chum salmon (Oncorhynchus keta Walbaum), revealed the presence of null alleles at the Oke3 microsatellite locus in the population samples, in which an excess of homozygotes was observed. The analysis was performed using different combinations of modified primers chosen to match the Oke3 locus. The use of these primers enabled identification of true heterozygotes among those individuals, which were previously diagnosed as homozygotes with the use of standard primers. Removal of null alleles eliminated the excess homozygotes in the chum salmon samples described. In addition to the exclusion of false homozygosity, the use of modified primers makes it possible to introduce polymorphic primer variants associated with certain microsatellite alleles into population studies.


Russian Journal of Genetics | 2006

Microsatellite variability and differentiation of hatchery stocks of chum salmon Oncorhynchus keta Walbaum in Sakhalin

K. I. Afanas’ev; G. A. Rubtsova; T. V. Malinina; E. A. Salmenkova; V. T. Omel’chenko; L. A. Zhivotovsky

Variability at eight microsatellite loci was examined in five populations of chum salmon Oncorhynchus keta Walbaum from Sakhalin hatcheries. The population of Kalinino hatchery had the lowest heterozygosity and the lowest average number of alleles per locus. The populations examined exhibited significant differentiation, θST = 0.026 on average per locus. The maximum genetic differences were found between the populations of the Kalinino and the Ado-Tymovo hatcheries; the latter differs from the remaining populations also by the highest number and high frequencies of specific alleles. The genetic features of the Taranai hatchery population, observed at microsatellite loci, reflect its “mixed” origin.


Environmental Biology of Fishes | 2012

Rapid expansion of an enhanced stock of chum salmon and its impacts on wild population components

Ludmila K. Fedorova; G. A. Rubtsova; M. V. Shitova; Tatiana A. Rakitskaya; Valentina D. Prokhorovskaya; Boris P. Smirnov; Alexander M. Kaev; Vladimir M. Chupakhin; Vladimir G. Samarsky; Victor P. Pogodin; Sergey I. Borzov; K. I. Afanasiev

A harvested stock of chum salmon homing to Kurilskiy Bay, Iturup Island, consists of two genetically distinct river populations that reproduce in two rivers that drain into the bay and are characterized by limited gene flow. One of these is small and can be regarded as wild, whereas the other is much larger and, until recently, was composed of naturally reproducing components spawning in the river’s mainstem and tributaries, with almost no hatchery reproduction during the past two decades. The only human impact on reproduction of the chum salmon stock was regulation of the escapement, with officially accepted limits to avoid ‘over-escapement’. Recently the hatchery began to release a large amount of chum salmon juveniles. As confirmed by data on variation in both age composition and microsatellite DNA, first-generation hatchery-origin fish that returned from the first large releases occupied spawning grounds and presumably competed directly with, and potentially displaced wild fish. The most dramatic example is a genetically distinct beach-spawning form of chum salmon that was swamped by much more numerous hatchery-origin fish of the river-spawning form. In order to restore and support naturally reproduced population components, careful estimation of the carrying capacity of natural spawning grounds is necessary with efforts to increase escapement to these habitats. We also recommend concerted efforts to restore and conserve a unique beach-spawning population of chum salmon. We further recommend development of a marking program for direct estimation of straying and evaluation of ecological and genetic impacts of hatchery fish on neighboring wild and natural populations.


Russian Journal of Genetics | 2006

Genetic differentiation of pink salmon oncorhynchus gorbuscha Walbaum in the Asian part of the range

E. A. Salmenkova; N. V. Gordeeva; V. T. Omel’chenko; Yu. P. Altukhov; K. I. Afanas’ev; G. A. Rubtsova; Yu. V. Vasil’eva

Genetic variation at 19 enzyme (including 11 polymorphic) and 10 microsatellite loci was examined in the population samples of odd-and even-broodline pink salmon from the southern part of Sakhalin Island, Southern Kuril Islands, and the northern coast of the Sea of Okhotsk. The estimates of relative interpopulation component of genetic variation for the allozyme loci, per broodline, were on average 0.43% (GST), while over the microsatellite loci it was 0.26% (the ϑST coefficient, F-statistics based on the allele frequency variance), and 0.90% (the ρST coefficient, R-statistics based on the allele size variance). The values of interlinear component constituted 2.34, 0.31, and 1.05% of the total variation, respectively. Using the allozyme loci, statistically significant intralinear heterogeneity was demonstrated among the regions, as well as among the populations of southern Sakhalin. Multidimensional scaling based on the allozyme data demonstrated regional clustering of the sample groups, representing certain populations during the spawning run or in different years. Most of the microsatellite loci examined were found to be highly polymorphic (mean heterozygosity > 0.880). The estimates of interlinear, interregional, and interpopulation variation over these loci in terms of ϑST values were substantially lower than in terms of ρST values. Regional genetic differentiation, mostly expressed at the allozyme loci between the populations from the northern Sea of Okhotsk and the Sakhalin and Kuril group of populations, was less expressed at the microsatellite loci. The differentiation between these regions observed can be considered as the evidence in favor of a large-scale isolation by distance characterizing Asian pink salmon. It is suggested that in pink salmon, low genetic differentiation at neutral microsatellite loci can be explained by extremely high heterozygosity of the loci themselves, as well as by the migration gene exchange among the populations (the estimate of the gene migration coefficient inferred from the “private” allele data constituted 2.6 to 3.4%), specifically, by the ancient migration exchange, which occurred during postglacial colonization of the range


Russian Journal of Genetics | 2013

Analysis of Microsatellite Loci Variations in Herring (Clupea pallasii marisalbi) from the White Sea

A. V. Semenova; A. P. Andreeva; A. K. Karpov; A. N. Stroganov; G. A. Rubtsova; K. I. Afanas’ev

The genetic diversity among spawning groups of herring from different parts of the White Sea was assessed using ten microsatellite loci. All loci were polymorphic with the expected heterozygosity estimates varying in the range of 12.7–94.1% (mean was 59.5%). The degree of genetic differentiation displayed by White Sea herring was statistically significant (θ = 2.03%). The level of pairwise genetic differentiation FST was 0–0.085, and it was statistically significant in most of the comparison pairs between the herring samples. A hierarchical analysis of molecular variance (AMOVA) revealed the statistically significant differentiation of White Sea herring. 96.59% genetic variation was found within the samples and 3.41% variation was found among the populations. The main component of interpopulation diversity (1.85%) falls at the differences between two ecological forms of herring, spring- and summer-spawning. Within the spring-spawning form, the presence of local stocks in Kandalaksha Bay, Onega Bay, and Dvina Bay was demonstrated.


Russian Journal of Genetics | 2014

Genetic variations in Clupea pallasii herring from Sea of Okhotsk based on microsatellite markers

A. V. Semenova; A. N. Stroganov; A. A. Smirnov; K. I. Afanas’ev; G. A. Rubtsova

The genetic variations among spawning groups of herrings from different spawning grounds of the northwestern part of the Sea of Okhotsk was assessed using ten microsatellite loci. All loci were polymorphic with the expected heterozygosity estimates varying at different loci in the range of 0.7–95.0% (with a mean of 68.5%). The degree of genetic differentiation displayed by the herrings from the Sea of Okhotsk was not statistically significant (θ = 0.74%). The level of pairwise genetic differentiation FST varied in the range of 0.002–0.014, nor was it statistically significant in all comparison pairs between the herring samples.


Russian Journal of Genetics | 2008

Interregional differentiation of chum salmon from Sakhalin and South Kurils inferred from microsatellite markers

K. I. Afanasiev; G. A. Rubtsova; M. V. Shitova; T. V. Malinina

Variability at ten microsatellite loci was examined in wild and hatchery populations of chum salmon (Oncorhynchus keta Walbaum) from the Sakhalin Island and Southern Kuril Islands, Iturup and Kunashir. Substantial genetic differences between Sakhalin and South Kurils chum salmon (the differentiation reached 6.0%) were revealed. Statistically significant differences between chum salmon from Iturup and those from Kunashir were demonstrated, as well as between the chum salmon populations from different rivers within the islands. It was shown that in different types of population comparisons, different marker sets were most informative.


Russian Journal of Genetics | 2008

Differentiation of chum salmon Oncorhynchus keta Wallbaum populations as revealed with microsatellite and allozyme markers: A comparative study

G. A. Rubtsova; K. I. Afanasiev; T. V. Malinina; M. V. Shitova; T. A. Rakitskaya; V. D. Prokhorovskaya

The features and extent of population differentiation in chum salmon Oncorhynchus keta from Sakhalin and Iturup Islands were studied with 10 microsatellite and 12 allozyme markers. It was demonstrated with the example of allozyme polymorphism at the EstD locus that the effect of an individual locus with one major allele is capable of distorting the total picture of population differentiation. Multiallelic microsatellites were more efficient in revealing the genetic structure of chum salmon populations at the levels of differences between regional populations and between the stocks of individual rivers of the same region.

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K. I. Afanasiev

Russian Academy of Sciences

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K. I. Afanas’ev

Russian Academy of Sciences

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E. A. Salmenkova

Russian Academy of Sciences

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M. V. Shitova

Russian Academy of Sciences

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T. A. Rakitskaya

Russian Academy of Sciences

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L. A. Zhivotovsky

Russian Academy of Sciences

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M. Yu. Kovalev

Russian Academy of Sciences

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