Galya V. Klink

Dr. Galya V. Klink

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Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 February 2020 in Environmental Geochemistry and Health
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Journal Article
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Vishnu D. RajputVishnu D. Rajput
Vishnu D. Rajput
Tatiana MinkinaTatiana Minkina
Tatiana Minkina
ISIvan Semenkov
Ivan Semenkov
GKGalya V. Klink
Galya V. Klink
STSarieh Tarigholizadeh
Sarieh Tarigholizadeh
Svetlana SushkovaSvetlana Sushkova
Svetlana Sushkova

14 February 2017 in Genome Biology and Evolution
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GKGalya V. Klink
Galya V. Klink
GBGeorgii A. Bazykin
Georgii A. Bazykin
Amino acid propensities at amino acid sites change with time due to epistatic interactions or changing environment, affecting the probabilities of fixation of different amino acids. Such changes should lead to an increased rate of homoplasies (reversals, parallelisms, and convergences) at closely related species. Here, we reconstruct the phylogeny of twelve mitochondrial proteins from several thousand metazoan species, and measure the phylogenetic distances between branches at which either the same allele originated repeatedly due to homoplasies, or different alleles originated due to divergent substitutions. The mean phylogenetic distance between parallel substitutions is ∼20% lower than the mean phylogenetic distance between divergent substitutions, indicating that a variant fixed in a species is more likely to be deleterious in a more phylogenetically remote species, compared with a more closely related species. These findings are robust to artefacts of phylogenetic reconstruction or of pooling of sites from different conservation classes or functional groups, and imply that single-position fitness landscapes change at rates similar to rates of amino acid changes.

1 November 2015 in Experimental Cell Research
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Journal Article
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NKNatalia I. Kalinina
Natalia I. Kalinina
GKGalya V. Klink
Galya V. Klink
EGEugeniy Glukhanyuk
Eugeniy Glukhanyuk
TLTatiana Lopatina
Tatiana Lopatina
AEAnastasia Efimenko
Anastasia Efimenko
Vsevolod A. TkachukVsevolod A. Tkachuk
Vsevolod A. Tkachuk

1 June 2019 in Ecological Indicators
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Journal Article
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SLSergey A. Lednev
Sergey A. Lednev
Tatiana KorolevaTatiana Koroleva
Tatiana Koroleva
Ivan SemenkovIvan Semenkov
Ivan Semenkov
GKGalya V. Klink
Galya V. Klink
PKPavel P. Krechetov
Pavel P. Krechetov
AKAndrey Karpachevskiy
Andrey Karpachevskiy

5 January 2022 in Water
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Ivan SemenkovIvan Semenkov
Ivan Semenkov
ASAnna Sharapova
Anna Sharapova
SLSergey A. Lednev
Sergey A. Lednev
NYNatalia Yudina
Natalia Yudina
AKAndrey Karpachevskiy
Andrey Karpachevskiy
Tatiana KorolevaTatiana Koroleva
Tatiana Koroleva
Significant environmental impacts of mining activities connected with high-sulfur materials result from the production of acid mine drainage and potentially toxic elements, which easily migrate to adjacent ecosystems due to the typical absence of vegetation on spoil heaps and toeslope talus mantle. In this paper, we present the results of the first comprehensive study of the ecosystems affected by acidic and metal-enriched (Al, Ca, Co, Cu, Fe, Mg, Mn, Ni, and Zn) mine drainage conducted at spoil heaps and adjacent talus mantle under semihumid climate conditions within the Moscow Brown Coal Basin (Central Russian Upland, Tula Region, Russia). A total of 162 samples were collected, including 98 soil samples, 42 surface water samples, and 22 plant samples (aerial tissues of birch). Coal talus mantle materials of Regosols were characterized by the increased concentration of water-soluble Ca, K, Mg, and S, and all mobile fractions of Al, Co, S, and Zn. The chemical composition of birch samples within the zones affected by acid mine drainage differed insignificantly from those in the unpolluted ecosystems with black soils, due to the high tolerance of birch to such conditions. Differences between the affected and undisturbed sites in terms of the chemical composition decreased in the following order: waters > soils > plants. The geochemical characterization of plants and soils in coal mining areas is essential for the mitigation of negative consequences of mining activities.

20 July 2022 in PLOS ONE
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GKGalya V. Klink
Galya V. Klink
KSKsenia R. Safina
Ksenia R. Safina
SGSofya K. Garushyants
Sofya K. Garushyants
MMMikhail Moldovan
Mikhail Moldovan
ENElena Nabieva
Elena Nabieva
TCThe CoRGI (Coronavirus Russian Genetic Initiative) Consortium
The CoRGI (Coronavirus Russian Genetic Initiative) Consortium
In 2021, the COVID-19 pandemic was characterized by global spread of several lineages with evidence for increased transmissibility. Throughout the pandemic, Russia has remained among the countries with the highest number of confirmed COVID-19 cases, making it a potential hotspot for emergence of novel variants. Here, we show that among the globally significant variants of concern that have spread globally by late 2020, alpha (B.1.1.7), beta (B.1.351) or gamma (P.1), none have been sampled in Russia before the end of 2020. Instead, between summer 2020 and spring 2021, the epidemic in Russia has been characterized by the spread of two lineages that were rare in most other countries: B.1.1.317 and a sublineage of B.1.1 including B.1.1.397 (hereafter, B.1.1.397+). Their frequency has increased concordantly in different parts of Russia. On top of these lineages, in late December 2020, alpha (B.1.1.7) emerged in Russia, reaching a frequency of 17.4% (95% C.I.: 12.0%-24.4%) in March 2021. Additionally, we identify three novel distinct lineages, AT.1, B.1.1.524 and B.1.1.525, that have started to spread, together reaching the frequency of 11.8% (95% C.I.: 7.5%-18.1%) in March 2021. These lineages carry combinations of several notable mutations, including the S:E484K mutation of concern, deletions at a recurrent deletion region of the spike glycoprotein (S:Δ140–142, S:Δ144 or S:Δ136–144), and nsp6:Δ106–108 (also known as ORF1a:Δ3675–3677). Community-based PCR testing indicates that these variants have continued to spread in April 2021, with the frequency of B.1.1.7 reaching 21.7% (95% C.I.: 12.3%-35.6%), and the joint frequency of B.1.1.524 and B.1.1.525, 15.2% (95% C.I.: 7.6%-28.2%). Although these variants have been displaced by the onset of delta variant in May-June 2021, lineages B.1.1.317, B.1.1.397+, AT.1, B.1.1.524 and B.1.1.525 and the combinations of mutations comprising them that are found in other lineages merit monitoring.