Search

Your search keyword '"Kijewski, Tomasz"' showing total 13 results
Start Over Author "Kijewski, Tomasz"
13 results on '"Kijewski, Tomasz"'

2. Molluscs—A ticking microbial bomb

Author

Kijewska, Agnieszka, primary, Koroza, Aleksandra, additional, Grudlewska-Buda, Katarzyna, additional, Kijewski, Tomasz, additional, Wiktorczyk-Kapischke, Natalia, additional, Zorena, Katarzyna, additional, and Skowron, Krzysztof, additional

Published
2023
Full Text
View/download PDF

6. Abundance of Environmental Data vs. Low Public Interest in Climate and Ocean Issues. Where Is the Missing Link?

Author

Zielinski, Tymon, primary, Bolzacchini, Ezio, additional, Evans, Karen, additional, Ferrero, Luca, additional, Gregorczyk, Klaudia, additional, Kijewski, Tomasz, additional, Kotynska-Zielinska, Izabela, additional, Mrowiec, Patrycja, additional, Oleszczuk, Barbara, additional, Pakszys, Paulina, additional, Piechowska, Ewa, additional, Piwowarczyk, Joanna, additional, Sobieszczanski, Jan, additional, and Wichorowski, Marcin, additional

Published
2021
Full Text
View/download PDF

7. Trans-Atlantic Distribution and Introgression as Inferred from Single Nucleotide Polymorphism: Mussels Mytilus and Environmental Factors

Author

Wenne, Roman, primary, Zbawicka, Małgorzata, additional, Bach, Lis, additional, Strelkov, Petr, additional, Gantsevich, Mikhail, additional, Kukliński, Piotr, additional, Kijewski, Tomasz, additional, McDonald, John H., additional, Sundsaasen, Kristil Kindem, additional, Árnyasi, Mariann, additional, Lien, Sigbjørn, additional, Kaasik, Ants, additional, Herkül, Kristjan, additional, and Kotta, Jonne, additional

Published
2020
Full Text
View/download PDF

8. Random forest assessment of correlation between environmental factors and genetic differentiation of populations : Case of marine mussels Mytilus

Author

Kijewski, Tomasz, Zbawicka, Malgorzata, Strand, Jakob, Kautsky, Hans, Kotta, Jonne, Rätsep, Merli, Wenne, Roman, Kijewski, Tomasz, Zbawicka, Malgorzata, Strand, Jakob, Kautsky, Hans, Kotta, Jonne, Rätsep, Merli, and Wenne, Roman

Abstract

The novel machine learning technique Random Forest (RF) was used to test if the genetic differentiation of populations of marine species may be related to any of the key environmental variables known to shape species distributions. The study was performed in North and Baltic Sea characterized by strong gradients of environmental factors and almost continuous distributions of Mytilus mussel populations. Assessment of the species identity was performed using four nuclear DNA markers, and previously published single nucleotide polymorphism (SNP) data. A general pattern of cline variation was observed with increasing Mytilus trossulus share towards the eastern Baltic Sea. Average allele share rose to 61% in Hoga Kusten, Gulf of Bothnia. All Baltic Sea samples revealed a strong introgression of Mytilus edulis and a limited introgression of M. trossulus through the Danish Straits. The studied environmental variables described 67 and 68% of the variability in the allele frequencies of M. edulis and M. trossulus. Salinity defined over 50% of the variability in the gene frequencies of the studied Mytilus spp. populations. Changes along this environmental gradient were not gradual but instead a significant shift from gene dominance was found at a salinity of 12 PSU. Water temperature and the trophic status of the sea area had only moderate association with the gene frequencies. The obtained results showed that the novel machine learning technique can be successfully used for finding correlations between genetic differentiation of populations and environmental variables and for defining the functional form of these linkages.

Published
2019
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results