Population Genetics Of Norway Lobster Nephrops Norvegicus

ATLAS work package 4 presentation at ATLAS 3rd General Assembly Dublin Bay prawn Nephrops norvegicus is a commercially valuable demersal species. Its distribution ranges from around Iceland and northern Norway, in the North Atlantic, to Morocco and the Mediterranean in the south. Commonly known as N...

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Main Authors: Gallagher, Jeanne, Carlsson, Jeanette EL, Carlsson, Jens
Format: Conference Object
Language:English
Published: Zenodo 2018
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.1252350
https://zenodo.org/record/1252350
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spelling ftdatacite:10.5281/zenodo.1252350 2023-05-15T16:51:17+02:00 Population Genetics Of Norway Lobster Nephrops Norvegicus Gallagher, Jeanne Carlsson, Jeanette EL Carlsson, Jens 2018 https://dx.doi.org/10.5281/zenodo.1252350 https://zenodo.org/record/1252350 en eng Zenodo https://dx.doi.org/10.5281/zenodo.1252351 Open Access Creative Commons Attribution 4.0 https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess CC-BY Text Presentation article-journal ScholarlyArticle 2018 ftdatacite https://doi.org/10.5281/zenodo.1252350 https://doi.org/10.5281/zenodo.1252351 2021-11-05T12:55:41Z ATLAS work package 4 presentation at ATLAS 3rd General Assembly Dublin Bay prawn Nephrops norvegicus is a commercially valuable demersal species. Its distribution ranges from around Iceland and northern Norway, in the North Atlantic, to Morocco and the Mediterranean in the south. Commonly known as Norway lobster, langoustine or scampi, it is commercially fished all year round. Relatively little is understood about this species’ population dynamics across its distribution while effective management relies on accurate information on how species are distributed over time and space. Our research focuses on assessing population genetic structure of N. norvegicus in both deep and shallow, current, timescales. Mitochondrial DNA as a maternally-inherited, haploid marker is ideal for studying deep historical population dynamics and has been employed in my research to reveal a population structure separating Atlantic and Mediterranean samples for the first time in this species. Next generation sequencing technologies allows the rapid generation of vast amounts of sequence data with unprecedented precision and breadth. We will employ Genotyping By Sequencing which will provide an insight into current population dynamics of N. norvegicus. This approach allows for the in-depth analysis of the populations genetic structure and demographic parameters. This will be used to identify intra- and inter population genetic variability with a view to examine the connectivity of N. norvegicus across its range. Revealing the population structure of N. norvegicus may prove invaluable to the fisheries management of these highly valued populations by identifying structure within the species, and possible larval dispersal routes. Conference Object Iceland North Atlantic Northern Norway DataCite Metadata Store (German National Library of Science and Technology) Norway
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
description ATLAS work package 4 presentation at ATLAS 3rd General Assembly Dublin Bay prawn Nephrops norvegicus is a commercially valuable demersal species. Its distribution ranges from around Iceland and northern Norway, in the North Atlantic, to Morocco and the Mediterranean in the south. Commonly known as Norway lobster, langoustine or scampi, it is commercially fished all year round. Relatively little is understood about this species’ population dynamics across its distribution while effective management relies on accurate information on how species are distributed over time and space. Our research focuses on assessing population genetic structure of N. norvegicus in both deep and shallow, current, timescales. Mitochondrial DNA as a maternally-inherited, haploid marker is ideal for studying deep historical population dynamics and has been employed in my research to reveal a population structure separating Atlantic and Mediterranean samples for the first time in this species. Next generation sequencing technologies allows the rapid generation of vast amounts of sequence data with unprecedented precision and breadth. We will employ Genotyping By Sequencing which will provide an insight into current population dynamics of N. norvegicus. This approach allows for the in-depth analysis of the populations genetic structure and demographic parameters. This will be used to identify intra- and inter population genetic variability with a view to examine the connectivity of N. norvegicus across its range. Revealing the population structure of N. norvegicus may prove invaluable to the fisheries management of these highly valued populations by identifying structure within the species, and possible larval dispersal routes.
format Conference Object
author Gallagher, Jeanne
Carlsson, Jeanette EL
Carlsson, Jens
spellingShingle Gallagher, Jeanne
Carlsson, Jeanette EL
Carlsson, Jens
Population Genetics Of Norway Lobster Nephrops Norvegicus
author_facet Gallagher, Jeanne
Carlsson, Jeanette EL
Carlsson, Jens
author_sort Gallagher, Jeanne
title Population Genetics Of Norway Lobster Nephrops Norvegicus
title_short Population Genetics Of Norway Lobster Nephrops Norvegicus
title_full Population Genetics Of Norway Lobster Nephrops Norvegicus
title_fullStr Population Genetics Of Norway Lobster Nephrops Norvegicus
title_full_unstemmed Population Genetics Of Norway Lobster Nephrops Norvegicus
title_sort population genetics of norway lobster nephrops norvegicus
publisher Zenodo
publishDate 2018
url https://dx.doi.org/10.5281/zenodo.1252350
https://zenodo.org/record/1252350
geographic Norway
geographic_facet Norway
genre Iceland
North Atlantic
Northern Norway
genre_facet Iceland
North Atlantic
Northern Norway
op_relation https://dx.doi.org/10.5281/zenodo.1252351
op_rights Open Access
Creative Commons Attribution 4.0
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.1252350
https://doi.org/10.5281/zenodo.1252351
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