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

• Autorzy: Kijewski Tomasz , Zbawicka Malgorzata , Strand Jakob , Kautsky Hans , Kotta Jonne , Rätsep Merli , Wenne Roman

Identyfikatory

DOI

10.1016/j.oceano.2018.08.002

• Języki publikacji: EN

Abstrakty

EN

The novelmachine learning technique Random Forest (RF) was used to test if the genetic differentiation of populations of marine species maybe 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 Höga 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.

Słowa kluczowe

EN

marine environment; spatial distribution; seascape genetics; nuclear DNA markers; EFbis; Glu-5ʹ; ITS; M7 nucleotide; single nucleotide; polymorphism; Baltic Sea

• Wydawca: Polish Academy of Sciences, Institute of Oceanology ; Elsevier
• Czasopismo: Oceanologia
• Rocznik: 2019
• Tom: No. 61 (1)
• Strony: 131--142
• Opis fizyczny: Bibliogr. 97 poz., mapa, rys., tab., wykr.

Twórcy

autor

Kijewski Tomasz

• Institute of Oceanology, Polish Academy of Sciences, Sopot, Poland

autor

Zbawicka Malgorzata

• Institute of Oceanology, Polish Academy of Sciences, Sopot, Poland

autor

Strand Jakob

• Arctic Research Centre, Department of Bioscience, Aarhus University, Aarhus, Denmark

autor

Kautsky Hans

• Department of Ecology, Environment and Plant Sciences, Stockholm University, Sweden

autor

Kotta Jonne

• Estonian Marine Institute, University of Tartu, Tallinn, Estonia

autor

Rätsep Merli

• Estonian Marine Institute, University of Tartu, Tallinn, Estonia

autor

Wenne Roman

• Institute of Oceanology, Polish Academy of Sciences, Sopot, Poland

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).