Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/67399
Title: Genome analysis of the monoclonal marbled crayfish reveals genetic separation over a short evolutionary timescale
Authors: Maiakovska, Olena
Andriantsoa, Ranja
Tönges, Sina
Legrand, Carine
Gutekunst, Julian
Hanna, Katharina
Pârvulescu, Lucian
Novitsky, Roman
Weiperth, András
Sciberras, Arnold
Deidun, Alan
Ercoli, Fabio
Kouba, Antonin
Lyko, Frank
Keywords: Evolutionary genetics -- Statistical methods
Introduced organisms -- Europe
Population genetics -- Research
Issue Date: 2021
Publisher: Nature Publishing Group
Citation: Maiakovska, O., Andriantsoa, R., Tönges, S., Legrand, C., Gutekunst, J., Hanna, K.,...Lyko, F. (2021). Genome analysis of the monoclonal marbled crayfish reveals genetic separation over a short evolutionary timescale. Communications Biology, 4(74), 1-7
Abstract: The marbled crayfish (Procambarus virginalis) represents a very recently evolved parthenogenetic freshwater crayfish species that has invaded diverse habitats in Europe and in Madagascar. However, population genetic analyses have been hindered by the homogeneous genetic structure of the population and the lack of suitable tools for data analysis. We have used whole-genome sequencing to characterize reference specimens from various known wild populations. In parallel, we established a whole-genome sequencing data analysis pipeline for the population genetic analysis of nearly monoclonal genomes. Our results provide evidence for systematic genetic differences between geographically separated populations and illustrate the emerging differentiation of the marbled crayfish genome. We also used mark-recapture population size estimation in combination with genetic data to model the growth pattern of marbled crayfish populations. Our findings uncover evolutionary dynamics in the marbled crayfish genome over a very short evolutionary timescale and identify the rapid growth of marbled crayfish populations as an important factor for ecological monitoring.
URI: https://www.um.edu.mt/library/oar/handle/123456789/67399
Appears in Collections:Scholarly Works - FacSciGeo



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