Abstract

Event Abstract Back to Event Comparative population genetic analysis of brackish- and freshwater populations of Eurasian perch (Perca fluviatilis L.): implication for fish forensics. Lilian Pukk1*, Riho Gross1, Markus Vetemaa2 and Anti Vasemägi1, 3 1 Estonian University of Life Sciences, Department of Aquaculture, Estonia 2 University of Tartu, Estonian Marine Institute, Estonia 3 University of Turku, Department of Biology, Finland Understanding the genetic population structure of commercially important fish species is crucial for developing biologically sound management and conservation strategies. Genetic information can be also useful for fighting against illegal fishing and fish trade. Here, we studied commercially important brackish and freshwater populations of Eurasian perch (Perca fluviatilis L.) in Estonia, to describe the genetic divergence among populations and evaluate the power of 16 microsatellite markers to assign individual fish and group of fish to their population of origin. To do so, a total of 785 individuals caught from 13 different sites in the Baltic Sea and four locations in Lake Peipus were analyzed. We found significant differences in genetic diversity between brackish and freshwater populations with Baltic Sea samples showing slightly lower allelic richness and heterozygosity compared to Lake Peipus. We also observed moderate genetic differentiation among populations (overall FST=0.034). Individual self-assignment tests assigned large proportion of individuals correctly back to freshwater or coastal origin (Lake Peipus: 87.1%; Baltic Sea: 89.4%). Also, when evaluating the origin of group of individuals, it was possible to identify the origin of the brackish and freshwater fish groups with very high confidence (log 10 LR > 2) when sample size was larger than 15. Our results demonstrate the power of highly variable genetic markers separating two commercially most important Eurasian perch stocks in Estonia and the usefulness of assignment tests to successfully identify the genetic origin of fish. Keywords: Eurasian perch (Perca fluviatilis L.), population differentiation, Population assignment, Fish identification, forensics Conference: XV European Congress of Ichthyology, Porto, Portugal, 7 Sep - 11 Sep, 2015. Presentation Type: Oral Presentation Topic: Phylogeny, Systematics and Genetics Citation: Pukk L, Gross R, Vetemaa M and Vasemägi A (2015). Comparative population genetic analysis of brackish- and freshwater populations of Eurasian perch (Perca fluviatilis L.): implication for fish forensics.. Front. Mar. Sci. Conference Abstract: XV European Congress of Ichthyology. doi: 10.3389/conf.fmars.2015.03.00004 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 03 Nov 2015; Published Online: 04 Nov 2015. * Correspondence: Miss. Lilian Pukk, Estonian University of Life Sciences, Department of Aquaculture, Tartu, 51006, Estonia, lilian.pukk@emu.ee Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Lilian Pukk Riho Gross Markus Vetemaa Anti Vasemägi Google Lilian Pukk Riho Gross Markus Vetemaa Anti Vasemägi Google Scholar Lilian Pukk Riho Gross Markus Vetemaa Anti Vasemägi PubMed Lilian Pukk Riho Gross Markus Vetemaa Anti Vasemägi Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.

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