Data from: Genes that affect Atlantic salmon growth in hatchery do not have the same effect in the wild

Dissecting the genetic mechanisms of phenotypic traits that influence fitness in diverse environments provides the important first step towards understanding the robustness of the observed genotype–phenotype associations, the role of genotype-by-environment interaction (GEI) shaping fitness trade-of...

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Main Authors: Vasemägi, Anti, Kahar, Siim, Ozerov, Mikhail Y.
Language:unknown
Published: 2016
Subjects:
Online Access:http://nbn-resolving.org/urn:nbn:nl:ui:13-cv-c3py
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:92245
id ftdans:oai:easy.dans.knaw.nl:easy-dataset:92245
record_format openpolar
spelling ftdans:oai:easy.dans.knaw.nl:easy-dataset:92245 2023-07-02T03:31:42+02:00 Data from: Genes that affect Atlantic salmon growth in hatchery do not have the same effect in the wild Vasemägi, Anti Kahar, Siim Ozerov, Mikhail Y. 2016-01-26T20:00:32.000+01:00 http://nbn-resolving.org/urn:nbn:nl:ui:13-cv-c3py https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:92245 unknown doi:10.5061/dryad.gd809/1 doi:10.1111/1365-2435.12635 http://nbn-resolving.org/urn:nbn:nl:ui:13-cv-c3py doi:10.5061/dryad.gd809 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:92245 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Life sciences medicine and health care 2016 ftdans https://doi.org/10.5061/dryad.gd809/110.1111/1365-2435.1263510.5061/dryad.gd809 2023-06-13T13:21:06Z Dissecting the genetic mechanisms of phenotypic traits that influence fitness in diverse environments provides the important first step towards understanding the robustness of the observed genotype–phenotype associations, the role of genotype-by-environment interaction (GEI) shaping fitness trade-offs and maintaining genetic variation of quantitative traits. However, the molecular basis of complex traits in vertebrates has rarely, if ever, been studied simultaneously in natural and controlled laboratory environments. To evaluate whether the same genomic regions affect the growth of juvenile Atlantic salmon in wild and hatchery conditions, we mapped QTLs affecting the size-at-age of juvenile parr after the first summer utilizing the same mapping (family) material to avoid confounding effects of different genetic background. We identified three significant QTLs for fork length in the hatchery that were undetectable in the natural environment, while two QTLs detected in the wild were not observed when fish were reared in hatchery conditions. Altogether, four individual markers showed significant (P < 0·05) genotype-by-environment interactions. The allelic effects for three QTLs observed in the hatchery were in the same direction in both environments, while for two QTLs the alleles associated with a larger body size in the wild showed the opposite (albeit non-significant) trend in the hatchery environment. Our results indicate that the growth of juvenile salmon in two contrasting environments is controlled by different genetic mechanisms that are most likely influenced by multiple processes, including food availability, inter- and intraspecific competition, and trade-offs between the costs and benefits of individual movement in the wild. Furthermore, the findings of the study imply that a substantial proportion of growth-related QTLs reported by earlier studies in a hatchery environment may represent QTLs specific to farmed conditions and hence have no effect on fish growth in the wild. For comprehensive ... Other/Unknown Material Atlantic salmon Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen)
institution Open Polar
collection Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen)
op_collection_id ftdans
language unknown
topic Life sciences
medicine and health care
spellingShingle Life sciences
medicine and health care
Vasemägi, Anti
Kahar, Siim
Ozerov, Mikhail Y.
Data from: Genes that affect Atlantic salmon growth in hatchery do not have the same effect in the wild
topic_facet Life sciences
medicine and health care
description Dissecting the genetic mechanisms of phenotypic traits that influence fitness in diverse environments provides the important first step towards understanding the robustness of the observed genotype–phenotype associations, the role of genotype-by-environment interaction (GEI) shaping fitness trade-offs and maintaining genetic variation of quantitative traits. However, the molecular basis of complex traits in vertebrates has rarely, if ever, been studied simultaneously in natural and controlled laboratory environments. To evaluate whether the same genomic regions affect the growth of juvenile Atlantic salmon in wild and hatchery conditions, we mapped QTLs affecting the size-at-age of juvenile parr after the first summer utilizing the same mapping (family) material to avoid confounding effects of different genetic background. We identified three significant QTLs for fork length in the hatchery that were undetectable in the natural environment, while two QTLs detected in the wild were not observed when fish were reared in hatchery conditions. Altogether, four individual markers showed significant (P < 0·05) genotype-by-environment interactions. The allelic effects for three QTLs observed in the hatchery were in the same direction in both environments, while for two QTLs the alleles associated with a larger body size in the wild showed the opposite (albeit non-significant) trend in the hatchery environment. Our results indicate that the growth of juvenile salmon in two contrasting environments is controlled by different genetic mechanisms that are most likely influenced by multiple processes, including food availability, inter- and intraspecific competition, and trade-offs between the costs and benefits of individual movement in the wild. Furthermore, the findings of the study imply that a substantial proportion of growth-related QTLs reported by earlier studies in a hatchery environment may represent QTLs specific to farmed conditions and hence have no effect on fish growth in the wild. For comprehensive ...
author Vasemägi, Anti
Kahar, Siim
Ozerov, Mikhail Y.
author_facet Vasemägi, Anti
Kahar, Siim
Ozerov, Mikhail Y.
author_sort Vasemägi, Anti
title Data from: Genes that affect Atlantic salmon growth in hatchery do not have the same effect in the wild
title_short Data from: Genes that affect Atlantic salmon growth in hatchery do not have the same effect in the wild
title_full Data from: Genes that affect Atlantic salmon growth in hatchery do not have the same effect in the wild
title_fullStr Data from: Genes that affect Atlantic salmon growth in hatchery do not have the same effect in the wild
title_full_unstemmed Data from: Genes that affect Atlantic salmon growth in hatchery do not have the same effect in the wild
title_sort data from: genes that affect atlantic salmon growth in hatchery do not have the same effect in the wild
publishDate 2016
url http://nbn-resolving.org/urn:nbn:nl:ui:13-cv-c3py
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:92245
genre Atlantic salmon
genre_facet Atlantic salmon
op_relation doi:10.5061/dryad.gd809/1
doi:10.1111/1365-2435.12635
http://nbn-resolving.org/urn:nbn:nl:ui:13-cv-c3py
doi:10.5061/dryad.gd809
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:92245
op_rights OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI
https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
op_doi https://doi.org/10.5061/dryad.gd809/110.1111/1365-2435.1263510.5061/dryad.gd809
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