Integration of spatial distribution of genetic variability for aquaculture development and regulations, the European perch case

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12520%2F17%3A43897324" target="_blank" >RIV/60076658:12520/17:43897324 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Integration of spatial distribution of genetic variability for aquaculture development and regulations, the European perch case

Popis výsledku v původním jazyce

Knowledge of spatial genetic variability (i.e. differentiation and diversity) patterns is key information for production and trade strategies of species. It allows improving conservation actions, translocation regulations, and farming productivity. By taking into account lessons from the past, we investigate the genetic variability of Perca fluviatilis, a fish species at a nascent stage of its aquaculture, in order to promote a more sustainable aquaculture. We characterise the genetic variability across 84 West-Palaearctic sampling sites using four mitochondrial sequences and eight microsatellites. By considering this variability, we aim to provide (i) a genetically-based population structure that could act as an impetus for further improvement of P. fluviatilis production and (ii) guidelines for efficient regulations of the translocations of the species within its natural range. Our analyses show an uneven distribution of the genetic variability across the species range. Based on genetic differentiation, we identify five large geographic scale clusters which are further divided into several subgroups. Mapping of genetic diversity highlights several hotspots across the species range. This spatial pattern of intraspecific diversity implies to develop specific and appropriate regulations of translocations. Moreover, we observe similarities between geographic differentiations in genetics and in zootechnical performances previously reported. We ultimately propose intraspecific regulations for further investigations of population-specific performances in aquaculture and potentially efficient regulations for policy-makers.

Název v anglickém jazyce

Integration of spatial distribution of genetic variability for aquaculture development and regulations, the European perch case

Popis výsledku anglicky

Knowledge of spatial genetic variability (i.e. differentiation and diversity) patterns is key information for production and trade strategies of species. It allows improving conservation actions, translocation regulations, and farming productivity. By taking into account lessons from the past, we investigate the genetic variability of Perca fluviatilis, a fish species at a nascent stage of its aquaculture, in order to promote a more sustainable aquaculture. We characterise the genetic variability across 84 West-Palaearctic sampling sites using four mitochondrial sequences and eight microsatellites. By considering this variability, we aim to provide (i) a genetically-based population structure that could act as an impetus for further improvement of P. fluviatilis production and (ii) guidelines for efficient regulations of the translocations of the species within its natural range. Our analyses show an uneven distribution of the genetic variability across the species range. Based on genetic differentiation, we identify five large geographic scale clusters which are further divided into several subgroups. Mapping of genetic diversity highlights several hotspots across the species range. This spatial pattern of intraspecific diversity implies to develop specific and appropriate regulations of translocations. Moreover, we observe similarities between geographic differentiations in genetics and in zootechnical performances previously reported. We ultimately propose intraspecific regulations for further investigations of population-specific performances in aquaculture and potentially efficient regulations for policy-makers.

Druh

V_souhrn - Souhrnná výzkumná zpráva

CEP obor

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OECD FORD obor

10613 - Zoology

Projekt

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Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Počet stran výsledku

20

Místo vydání

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Název nakladatele resp. objednatele

Universite de Lorraine

Verze

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