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178 results on '"Rivkina, Elizaveta"'

5. A novel nematode species from the Siberian permafrost shares adaptive mechanisms for cryptobiotic survival with C. elegans dauer larva

Author

Shatilovich, Anastasia, primary, Gade, Vamshidhar R., additional, Pippel, Martin, additional, Hoffmeyer, Tarja T., additional, Tchesunov, Alexei V., additional, Stevens, Lewis, additional, Winkler, Sylke, additional, Hughes, Graham M., additional, Traikov, Sofia, additional, Hiller, Michael, additional, Rivkina, Elizaveta, additional, Schiffer, Philipp H., additional, Myers, Eugene W., additional, and Kurzchalia, Teymuras V., additional

Published
2023
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11. Bacteria in Permafrost

Author

Gilichinsky, David, Vishnivetskaya, Tatiana, Petrova, Mayya, Spirina, Elena, Mamykin, Vladimir, Rivkina, Elizaveta, Margesin, Rosa, editor, Schinner, Franz, editor, Marx, Jean-Claude, editor, and Gerday, Charles, editor

Published
2008
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15. A novel nematode species from the Siberian permafrost shares adaptive mechanisms for cryptobiotic survival withC. elegansdauer larva

Author

Shatilovich, Anastasia, primary, Gade, Vamshidhar R., additional, Pippel, Martin, additional, Hoffmeyer, Tarja T., additional, Tchesunov, Alexei V., additional, Stevens, Lewis, additional, Winkler, Sylke, additional, Hughes, Graham M., additional, Traikov, Sofia, additional, Hiller, Michael, additional, Rivkina, Elizaveta, additional, Schiffer, Philipp H., additional, Myers, Eugene W, additional, and Kurzchalia, Teymuras V., additional

Published
2022
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16. Circum-Arctic Map of the Yedoma Permafrost Domain

Author

Strauss, Jens, primary, Laboor, Sebastian, additional, Schirrmeister, Lutz, additional, Fedorov, Alexander N., additional, Fortier, Daniel, additional, Froese, Duane, additional, Fuchs, Matthias, additional, Günther, Frank, additional, Grigoriev, Mikhail, additional, Harden, Jennifer, additional, Hugelius, Gustaf, additional, Jongejans, Loeka L., additional, Kanevskiy, Mikhail, additional, Kholodov, Alexander, additional, Kunitsky, Viktor, additional, Kraev, Gleb, additional, Lozhkin, Anatoly, additional, Rivkina, Elizaveta, additional, Shur, Yuri, additional, Siegert, Christine, additional, Spektor, Valentin, additional, Streletskaya, Irina, additional, Ulrich, Mathias, additional, Vartanyan, Sergey, additional, Veremeeva, Alexandra, additional, Anthony, Katey Walter, additional, Wetterich, Sebastian, additional, Zimov, Nikita, additional, and Grosse, Guido, additional

Published
2021
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20. Additional file 6 of Genomic reconstruction of fossil and living microorganisms in ancient Siberian permafrost

Author

Liang, Renxing, Li, Zhou, Vetter, Maggie C. Y. Lau, Vishnivetskaya, Tatiana A., Zanina, Oksana G., Lloyd, Karen G., Pfiffner, Susan M., Rivkina, Elizaveta M., Wang, Wei, Wiggins, Jessica, Miller, Jennifer, Hettich, Robert L., and Tullis C. Onstott

Abstract

Additional file 6: Table S5. Summary of identified proteins from ancient permafrost at 3.4, 5.8 and 14.8m.

Published
2021
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21. Additional file 9 of Genomic reconstruction of fossil and living microorganisms in ancient Siberian permafrost

Author

Liang, Renxing, Li, Zhou, Vetter, Maggie C. Y. Lau, Vishnivetskaya, Tatiana A., Zanina, Oksana G., Lloyd, Karen G., Pfiffner, Susan M., Rivkina, Elizaveta M., Wang, Wei, Wiggins, Jessica, Miller, Jennifer, Hettich, Robert L., and Tullis C. Onstott

Subjects
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Data_FILES
Abstract

Additional file 9. The scripts used for the analyses in this study.

Published
2021
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22. Additional file of Genomic reconstruction of fossil and living microorganisms in ancient Siberian permafrost

Author

Liang, Renxing, Li, Zhou, Vetter, Maggie C. Y. Lau, Vishnivetskaya, Tatiana A., Zanina, Oksana G., Lloyd, Karen G., Pfiffner, Susan M., Rivkina, Elizaveta M., Wang, Wei, Wiggins, Jessica, Miller, Jennifer, Hettich, Robert L., and Tullis C. Onstott

Abstract

Additional file of Genomic reconstruction of fossil and living microorganisms in ancient Siberian permafrost

Published
2021
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23. Additional file 2 of Genomic reconstruction of fossil and living microorganisms in ancient Siberian permafrost

Author

Liang, Renxing, Li, Zhou, Vetter, Maggie C. Y. Lau, Vishnivetskaya, Tatiana A., Zanina, Oksana G., Lloyd, Karen G., Pfiffner, Susan M., Rivkina, Elizaveta M., Wang, Wei, Wiggins, Jessica, Miller, Jennifer, Hettich, Robert L., and Tullis C. Onstott

Abstract

Additional file 2: Table S1. Statistical summary for MAGs recovered from permafrost sediment samples at 3.4, 5.8 and 14.8 m. Note: CDS refers to protein coding sequence.

Published
2021
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24. Additional file 1 of Genomic reconstruction of fossil and living microorganisms in ancient Siberian permafrost

Author

Liang, Renxing, Li, Zhou, Vetter, Maggie C. Y. Lau, Vishnivetskaya, Tatiana A., Zanina, Oksana G., Lloyd, Karen G., Pfiffner, Susan M., Rivkina, Elizaveta M., Wang, Wei, Wiggins, Jessica, Miller, Jennifer, Hettich, Robert L., and Tullis C. Onstott

Abstract

Additional file 1: Figure S1. Geographic location of the sampling site at Cape Chukochii near the East Siberian Sea coast. Figure S2. Image of the drilling site and the schematic of the sediment core (~22 m) from borehole Ch1-17. The red stars indicate the depth of the sediment samples (3.4, 5.8 and 14.8 m, meters below land surface) that were selected for metagenomic sequencing of iDNA and eDNA with and without DNA repair. Figure S3 Temperature and geochemistry profiles of the permafrost sediment collected at various depths from borehole Ch1-17. Figure S4. Concentration of low-molecular-weight organic acids in the permafrost sediment collected at various depths from borehole Ch1-17. Figure S5 Yield of iDNA and eDNA fractions from ancient permafrost sediment at 3.4, 5.8 and 14.8 m. The green bars represent the estimated cell numbers from the intracellular DNA fraction by assuming 2×10-15 g DNA/cell. Figure S6. Size distribution of DNA fragments in iDNA (3.4i, 5.8i and 14.8i) and eDNA (3.4e, 5.8e and 14.8e) fractions from ancient permafrost sediment at 3.4, 5.8 and 14.8 m. The top peaks at 10380 bp for 3.4iDNA and 3.4eDNA sampels were cropped out due to the much higher concentration. Figure S7. Live/Dead cell staining of separated cells from ancient permafrost sediments at 3.4 (top), 5.8 (middle) and 14.8 m (bottom). The green stained live cells by Syto9 are shown in the left panel whereas the red stained dead cells are depicted in the right panel. Figure S8. Relative abundance of MAGs from each metagenome of iDNA and eDNA at 3.4 m with and without PreCR DNA repair. The scale bar indicates the relative abundance of each MAG normalized to the individual sample size as genome copies per million reads. Figure S9. Relative abundance of MAGs from each metagenome of iDNA and eDNA at 5.8 m with and without PreCR DNA repair. The scale bar indicates the relative abundance of each MAG normalized to the individual sample size as genome copies per million reads. Figure S10. Relative abundance of MAGs from each metagenome of iDNA and eDNA at 14.8 m with and without PreCR DNA repair. The scale bar indicates the relative abundance of each MAG normalized to the individual sample size as genome copies per million reads. Figure S11. Percentage of unique reads in each metagenome generated from iDNA and eDNA fractions of the 3.4, 5.8 and 14.8 m samples with and without PreCR DNA repair. Figure S12. Heatmap of the global similarity of each iDNA and eDNA derived metagenomes from the 3.4, 5.8 and 14.8 m samples with and without PreCR DNA repair. The similarity matrix was calculated from the similarity of reads in each metagenome. The scale bar represents the normalized percentage of similarity between two metagenomes with respect to the total number of reads in each metagenome. Figure S13. Principal coordinate analyses (PCoA) of weighted UniFrac distances derived from the microbial community based on the 16S rRNA genes retrieved from each metagenomic dataset of iDNA and eDNA fraction with and without PreCR DNA repair. Figure S14. Number of quality-filtered reads in each metagenome generated from iDNA and eDNA fractions extracted from ancient permafrost sediment at 3.4, 5.8 and 14.8 m with and without PreCR DNA repair. Figure S15. Plot of GC content and contig abundance in each MAG recovered from individual metagenomes of the iDNA and eDNA extracted from the 14.8 m with and without PreCR DNA repair. Figure S16. Groups of carbohydrates active enzymes identified in MAGs recovered from three depths at 3.4, 5.8 and 14.8 m, respectively. The abbreviations for the enzymes classes are as follow: The glycoside hydrolases (GHs), glycosyl transferases (GTs), carbohydrate esterases (CEs) and auxiliary activities (AAs). The relative abundance represents the number of carbohydrates active enzymes identified in each specific subgroup. Figure S17. Relative abundance of proteins identified in the metaproteome from each MAG recovered from the 5.8 m sample. These proteins were involved in carbon and energy metabolism and coping with cold, osmotic and oxidative stresses. The scale bar indicates the balanced spectral counts of proteins. Figure S18. Number of identified proteins in the metaproteomic dataset at 14.8 m when all genes from the metagenome were used as database for search. Figure S19. Number of identified proteins from each MAG recovered from 14.8m. Figure S20 GRiD measurement of bacterial MAGs from the iDNA metagenomic datasets from ancient permafrost sediment at 3.4, 5.8 and 14.8m. The criterion of valid GRiD values (dnaA/ori and ter/dif ratios > 0.8) for each MAGs was selected according to the output results from the GRiD tool.

Published
2021
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28. Structural and Biochemical Characterization of a Cold-Active PMGL3 Esterase with Unusual Oligomeric Structure

Author

Boyko, Konstantin M., primary, Kryukova, Mariya V., additional, Petrovskaya, Lada E., additional, Kryukova, Elena A., additional, Nikolaeva, Alena Y., additional, Korzhenevsky, Dmitry A., additional, Lomakina, Galina Yu., additional, Novototskaya-Vlasova, Ksenia A., additional, Rivkina, Elizaveta M., additional, Dolgikh, Dmitry A., additional, Kirpichnikov, Mikhail P., additional, and Popov, Vladimir O., additional

Published
2021
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36. Crystal structure of PMGL2 esterase from the hormone-sensitive lipase family with GCSAG motif around the catalytic serine

Author

Boyko, Konstantin M., primary, Kryukova, Marya V., additional, Petrovskaya, Lada E., additional, Nikolaeva, Alena Y., additional, Korzhenevsky, Dmitry A., additional, Novototskaya-Vlasova, Ksenia A., additional, Rivkina, Elizaveta M., additional, Dolgikh, Dmitry A., additional, Kirpichnikov, Mikhail P., additional, and Popov, Vladimir O., additional

Published
2020
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40. Phylogenetic diversity of a bacterial community determined from Siberian tundra soil DNA

Author

Zhou, Jizhong, Davey, Mary Ellen, Figueras, Jordi B., Rivkina, Elizaveta, Gilichinsky, David, and Tiedje, James M.

Subjects
Phylogeny -- Research, DNA -- Research, Bacterial genetics -- Research, Biological sciences
Abstract

A study was conducted on the isolation from genomic DNA from the active layer of tundra soil collected from the Siberian tundra. The findings indicate that these tundra-derived clones have very diverse phylogeny and that several of them probably reflect new genera or families. Thus, the isolation of most of the tundra soil bacterial community has never been done. Consequently, the physiology and function of its dominant members remains unknown.

Published
1997

41. Active layer monitoring in Antarctica: an overview of results from 2006 to 2015.

Author

Hrbáček, Filip, Vieira, Goncalo, Oliva, Marc, Balks, Megan, Guglielmin, Mauro, de Pablo, Miguel Ángel, Molina, Antonio, Ramos, Miguel, Goyanes, Gabriel, Meiklejohn, Ian, Abramov, Andrey, Demidov, Nikita, Fedorov-Davydov, Dmitry, Lupachev, Alexey, Rivkina, Elizaveta, Láska, Kamil, Kňažková, Michaela, Nývlt, Daniel, Raffi, Rossana, and Strelin, Jorge

Subjects
DATA logging, BOREHOLES, SOIL thermal conductivity measurement, THERMAL properties
Abstract

Monitoring of active layer thawing depth and active layer thickness (ALT), using mechanical pronging and continuous temperature data logging, has been undertaken under the Circumpolar Active Layer Monitoring – South (CALM-S) program at a range of sites across Antarctica. The objective of this study was to summarize key data from sites in different Antarctic regions from 2006 to 2015 to review the state of the active layer in Antarctica and the effectiveness of the CALM-S program. The data from 16 sites involving 8 CALM-S and another 8 boreholes across the Antarctic have been used in the study. Probing for thaw depth, while giving information on local spatial variability, often underestimates the maximum ALT of Antarctic soils compared to that determined using continuous temperature monitoring. The differences are likely to be caused by stones limiting probe penetration and the timing of probing not coinciding with the timing of maximum thaw, which varies between seasons. The information on the active layer depth is still sparse in many regions and the monitoring needs to be extended and continued to provide a better understanding of both spatial and temporal variability in Antarctic soil thermal properties. [ABSTRACT FROM AUTHOR]

Published
2021
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42. Two decades of active layer thickness monitoring in northeastern Asia.

Author

Abramov, Andrey, Davydov, Sergey, Ivashchenko, Andrey, Karelin, Dmitry, Kholodov, Alexandr, Kraev, Gleb, Lupachev, Alexey, Maslakov, Alexey, Ostroumov, Vladimir, Rivkina, Elizaveta, Shmelev, Denis, Sorokovikov, Victor, Tregubov, Oleg, Veremeeva, Alexandra, Zamolodchikov, Dmitry, and Zimov, Sergey

Subjects
THAWING, ACQUISITION of data, CLIMATE change, ATMOSPHERIC temperature
Abstract

This study summarizes seasonal thawing data collected in different permafrost regions of northeast Asia over the 1995–2018 period. Empirical observations were undertaken under the Circumpolar Active Layer Monitoring (CALM) program at a range of sites across the permafrost landscapes of the Yana-Indigirka and Kolyma lowlands and the Chukotka Peninsula, and supplemented with 10 years of observations from volcanic mountainous areas of the Kamchatka Peninsula. Thaw depth observations, taken using mechanical probing at the end of the thawing season, and ground temperature measurements, were analyzed with respect to air temperatures trends. The data from 24 sites (16 in the Indigirka-Kolyma region, 5 in Chukotka and 3 in Kamchatka) reveal different reactions of the active layer thickness (ALT) to recent changes in atmospheric climate. In general, there is a positive relation between ALT and summer air temperatures. Since the early 2000s positive ALT anomalies (compared with mean data from all sites) prevail in the Kolyma and Chukotka area, with only one alas site showing a negative ALT trend. The only active site in the Kamchatka Mountains shows no significant thaw depth changes over the period of observation. Two other Kamchatka sites were affected during a volcanic eruption in 2012. [ABSTRACT FROM AUTHOR]

Published
2021
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43. H4K44 Acetylation Facilitates Chromatin Accessibility during Meiosis

Author

Legendre, Matthieu, Lartigue, Audrey, Bertaux, Lionel, Jeudy, Sandra, Bartoli, Julia, Lescot, Magali, Alempic, Jean-Marie, Ramus, Claire, Bruley, Christophe, Labadie, Karine, Shmakova, Lyubov, Rivkina, Elizaveta, Coute, Yohann, Abergel, Chantal, Claverie, Jean-Michel, Institut d'oncologie/développement Albert Bonniot de Grenoble (INSERM U823), Université Joseph Fourier - Grenoble 1 (UJF)-CHU Grenoble-EFS-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de génétique et embryologie médicales [CHU Trousseau], Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Trousseau [APHP], Information génomique et structurale (IGS), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Équipe Services et Architectures pour Réseaux Avancés (LAAS-SARA), Laboratoire d'analyse et d'architecture des systèmes [Toulouse] (LAAS), Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UPS), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UPS), Université Fédérale Toulouse Midi-Pyrénées, Institut méditerranéen d'océanologie (MIO), Centre National de la Recherche Scientifique (CNRS)-Université de Toulon (UTLN)-Aix Marseille Université (AMU)-Institut de Recherche pour le Développement (IRD), Laboratoire d'étude de la dynamique des protéomes (LEDyP), Université Joseph Fourier - Grenoble 1 (UJF)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire de Biologie à Grande Échelle (BGE - UMR S1038), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA)-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Institute of Physicochemical and Biological Problems in Soil Science, RAS, CHU Trousseau [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Etude de la dynamique des protéomes (EDyP ), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Toulon (UTLN), Institut de Recherche Interdisciplinaire de Grenoble (IRIG), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])

Subjects
sporulation, Saccharomyces cerevisiae Proteins, [SDV]Life Sciences [q-bio], genetic processes, Saccharomyces cerevisiae, histone, Biology, General Biochemistry, Genetics and Molecular Biology, Article, Histone H4, Histones, 03 medical and health sciences, 0302 clinical medicine, Meiosis, DNA Breaks, Double-Stranded, lcsh:QH301-705.5, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, Genetics, Recombination, Genetic, meiotic recombination, 0303 health sciences, fungi, Acetylation, Spores, Fungal, biology.organism_classification, Chromatin, Cell biology, Histone, lcsh:Biology (General), biology.protein, Homologous recombination, 030217 neurology & neurosurgery, Recombination
Abstract

Summary Meiotic recombination hotspots are associated with histone post-translational modifications and open chromatin. However, it remains unclear how histone modifications and chromatin structure regulate meiotic recombination. Here, we identify acetylation of histone H4 at Lys44 (H4K44ac) occurring on the nucleosomal lateral surface. We show that H4K44 is acetylated at pre-meiosis and meiosis and displays genome-wide enrichment at recombination hotspots in meiosis. Acetylation at H4K44 is required for normal meiotic recombination, normal levels of double-strand breaks (DSBs) during meiosis, and optimal sporulation. Non-modifiable H4K44R results in increased nucleosomal occupancy around DSB hotspots. Our results indicate that H4K44ac functions to facilitate chromatin accessibility favorable for normal DSB formation and meiotic recombination.

Published
2015
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44. Past and present thermokarst lake dynamics in the Yedoma Ice Complex region of North-Eastern Yakutia

Author

Veremeeva, Alexandra, Günther, Frank, Nitze, Ingmar, Grosse, Guido, Glushkova, Nadezhda, Rivkina, Elizaveta, Deline, Philip, Bodin, Xavier, and Ravanel, Ludovic

Subjects
parasitic diseases
Abstract

Thermokarst lakes are typical components of the yedoma-alas dominated relief in the coastal lowlands of North- Eastern Yakutia and formed as a result of thawing Late Pleistocene ice-rich Yedoma Ice Complex (IC) deposits. The aim of our study is to estimate thermokarst lake area changes from the early Holocene onwards based on RS data. The decrease of thermokarst lake area from the early Holocene, taking into account total alas depression areas, is as much as 81-83 %. Modern climate warming has led to a general trend of thermokarst lake area decrease. Lake drainage occurs mostly on elevated sites with high Yedoma IC fraction while lake area increase is typical for low-lying areas with a small Yedoma IC fraction. The area increase of thermokarst ponds on flat, boggy yedoma surfaces indicates ice wedge degradation in response to rising summer air temperatures and precipitation.

Published
2018

45. Two decades of active layer thickness monitoring in northeastern Asia

Author

Abramov, Andrey, primary, Davydov, Sergey, additional, Ivashchenko, Andrey, additional, Karelin, Dmitry, additional, Kholodov, Alexandr, additional, Kraev, Gleb, additional, Lupachev, Alexey, additional, Maslakov, Alexey, additional, Ostroumov, Vladimir, additional, Rivkina, Elizaveta, additional, Shmelev, Denis, additional, Sorokovikov, Victor, additional, Tregubov, Oleg, additional, Veremeeva, Alexandra, additional, Zamolodchikov, Dmitry, additional, and Zimov, Sergey, additional

Published
2019
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49. Methanogens in the Antarctic Dry Valley permafrost

Author

Vishnivetskaya, Tatiana A, primary, Buongiorno, Joy, additional, Bird, Jordan, additional, Krivushin, Kirill, additional, Spirina, Elena V, additional, Oshurkova, Victoria, additional, Shcherbakova, Victoria A, additional, Wilson, Gary, additional, Lloyd, Karen G, additional, and Rivkina, Elizaveta M, additional

Published
2018
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50. Active layer monitoring in Antarctica: an overview of results from 2006 to 2015

Author

Hrbáček, Filip, primary, Vieira, Goncalo, additional, Oliva, Marc, additional, Balks, Megan, additional, Guglielmin, Mauro, additional, de Pablo, Miguel Ángel, additional, Molina, Antonio, additional, Ramos, Miguel, additional, Goyanes, Gabriel, additional, Meiklejohn, Ian, additional, Abramov, Andrey, additional, Demidov, Nikita, additional, Fedorov-Davydov, Dmitry, additional, Lupachev, Alexey, additional, Rivkina, Elizaveta, additional, Láska, Kamil, additional, Kňažková, Michaela, additional, Nývlt, Daniel, additional, Raffi, Rossana, additional, Strelin, Jorge, additional, Sone, Toshio, additional, Fukui, Kotaro, additional, Dolgikh, Andrey, additional, Zazovskaya, Elya, additional, Mergelov, Nikita, additional, Osokin, Nikolay, additional, and Miamin, Vladislav, additional

Published
2018
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