Genome analysis of the monoclonal marbled crayfish reveals genetic separation over a short evolutionary timescale
Maiakovska, O., Andriantsoa, R., Tönges, S., Legrand, C., Gutekunst, J., Hanna, K., Pârvulescu, L., Novitsky, R., Weiperth, A., Sciberras, A., Deidun, A., Ercoli, F., Kouba, A., & Lyko, F. (2021). Genome analysis of the monoclonal marbled crayfish reveals genetic separation over a short evolutionary timescale. Communications Biology, 4, Article 74. https://doi.org/10.1038/s42003-020-01588-8
Published inCommunications Biology
DisciplineAkvaattiset tieteetAquatic Sciences
© 2021 the Authors
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. ...
PublisherNature Publishing Group
ISSN Search the Publication Forum2399-3642
Publication in research information system
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Additional information about fundingF.E. acknowledges funding from the Estonian Ministry of Education and Research (institutional research funding project IUT 21-2 to Tiina Nõges) and from the Estonian Research Council (Mobilitas Pluss research project MOBJD29). This work was supported by funding from the Czech Science Foundation (project no. 19-04431S to A.K.).
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