Genomic regions and signaling pathways associated with indicator traits for feed efficiency in juvenile Atlantic salmon (Salmo salar)

Abstract Background One objective of this study was to identify putative quantitative trait loci (QTL) that affect indicator phenotypes for growth, nitrogen, and carbon metabolism in muscle, liver, and adipose tissue, and for feed efficiency. Another objective was to perform an RNAseq analysis (184...

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Main Authors: Hanne Dvergedal, Thomas Nelson Harvey, Yang Jin, Jørgen Ødegård, Lars Grønvold, Simen Rød Sandve, Dag Inge Våge, Thomas Moen, Gunnar Klemetsdal
Format: Article
Language:deu
Published: BMC 2020-11-01
Series:Genetics Selection Evolution
Online Access:http://link.springer.com/article/10.1186/s12711-020-00587-x
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spelling doaj-ba174ed5290a492d8aa8f9317fad72aa2020-11-25T03:59:14ZdeuBMCGenetics Selection Evolution1297-96862020-11-0152111510.1186/s12711-020-00587-xGenomic regions and signaling pathways associated with indicator traits for feed efficiency in juvenile Atlantic salmon (Salmo salar)Hanne Dvergedal0Thomas Nelson Harvey1Yang Jin2Jørgen Ødegård3Lars Grønvold4Simen Rød Sandve5Dag Inge Våge6Thomas Moen7Gunnar Klemetsdal8Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life SciencesDepartment of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life SciencesDepartment of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life SciencesDepartment of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life SciencesDepartment of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life SciencesDepartment of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life SciencesDepartment of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life SciencesAquaGen ASDepartment of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life SciencesAbstract Background One objective of this study was to identify putative quantitative trait loci (QTL) that affect indicator phenotypes for growth, nitrogen, and carbon metabolism in muscle, liver, and adipose tissue, and for feed efficiency. Another objective was to perform an RNAseq analysis (184 fish from all families), to identify genes that are associated with carbon and nitrogen metabolism in the liver. The material consisted of a family experiment that was performed in freshwater and included 2281 individuals from 23 full-sib families. During the 12-day feed conversion test, families were randomly allocated to family tanks (50 fish per tank and 2 tanks per family) and fed a fishmeal-based diet labeled with the stable isotopes 15N and 13C at inclusion levels of 2 and 1%, respectively. Results Using a linear mixed-model algorithm, a QTL for pre-smolt growth was identified on chromosome 9 and a QTL for carbon metabolism in the liver was identified on chromosome 12 that was closely related to feed conversion ratio on a tank level. For the indicators of feed efficiency traits that were derived from the stable isotope ratios (15N and 13C) of muscle tissue and growth, no convincing QTL was detected, which suggests that these traits are polygenic. The transcriptomic analysis showed that high carbon and nitrogen metabolism was associated with individuals that convert protein from the feed more efficiently, primarily due to higher expression of the proteasome, lipid, and carbon metabolic pathways in liver. In addition, we identified seven transcription factors that were associated with carbon and nitrogen metabolism and located in the identified QTL regions. Conclusions Analyses revealed one QTL associated with pre-smolt growth and one QTL for carbon metabolism in the liver. Both of these traits are associated with feed efficiency. However, more accurate mapping of the putative QTL will require a more diverse family material. In this experiment, fish that have a high carbon and nitrogen metabolism in the liver converted protein from the feed more efficiently, potentially because of a higher expression of the proteasome, lipid, and carbon metabolic pathways in liver. Within the QTL regions, we detected seven transcription factors that were associated with carbon and nitrogen metabolism.http://link.springer.com/article/10.1186/s12711-020-00587-x
collection DOAJ
language deu
format Article
sources DOAJ
author Hanne Dvergedal
Thomas Nelson Harvey
Yang Jin
Jørgen Ødegård
Lars Grønvold
Simen Rød Sandve
Dag Inge Våge
Thomas Moen
Gunnar Klemetsdal
spellingShingle Hanne Dvergedal
Thomas Nelson Harvey
Yang Jin
Jørgen Ødegård
Lars Grønvold
Simen Rød Sandve
Dag Inge Våge
Thomas Moen
Gunnar Klemetsdal
Genomic regions and signaling pathways associated with indicator traits for feed efficiency in juvenile Atlantic salmon (Salmo salar)
Genetics Selection Evolution
author_facet Hanne Dvergedal
Thomas Nelson Harvey
Yang Jin
Jørgen Ødegård
Lars Grønvold
Simen Rød Sandve
Dag Inge Våge
Thomas Moen
Gunnar Klemetsdal
author_sort Hanne Dvergedal
title Genomic regions and signaling pathways associated with indicator traits for feed efficiency in juvenile Atlantic salmon (Salmo salar)
title_short Genomic regions and signaling pathways associated with indicator traits for feed efficiency in juvenile Atlantic salmon (Salmo salar)
title_full Genomic regions and signaling pathways associated with indicator traits for feed efficiency in juvenile Atlantic salmon (Salmo salar)
title_fullStr Genomic regions and signaling pathways associated with indicator traits for feed efficiency in juvenile Atlantic salmon (Salmo salar)
title_full_unstemmed Genomic regions and signaling pathways associated with indicator traits for feed efficiency in juvenile Atlantic salmon (Salmo salar)
title_sort genomic regions and signaling pathways associated with indicator traits for feed efficiency in juvenile atlantic salmon (salmo salar)
publisher BMC
series Genetics Selection Evolution
issn 1297-9686
publishDate 2020-11-01
description Abstract Background One objective of this study was to identify putative quantitative trait loci (QTL) that affect indicator phenotypes for growth, nitrogen, and carbon metabolism in muscle, liver, and adipose tissue, and for feed efficiency. Another objective was to perform an RNAseq analysis (184 fish from all families), to identify genes that are associated with carbon and nitrogen metabolism in the liver. The material consisted of a family experiment that was performed in freshwater and included 2281 individuals from 23 full-sib families. During the 12-day feed conversion test, families were randomly allocated to family tanks (50 fish per tank and 2 tanks per family) and fed a fishmeal-based diet labeled with the stable isotopes 15N and 13C at inclusion levels of 2 and 1%, respectively. Results Using a linear mixed-model algorithm, a QTL for pre-smolt growth was identified on chromosome 9 and a QTL for carbon metabolism in the liver was identified on chromosome 12 that was closely related to feed conversion ratio on a tank level. For the indicators of feed efficiency traits that were derived from the stable isotope ratios (15N and 13C) of muscle tissue and growth, no convincing QTL was detected, which suggests that these traits are polygenic. The transcriptomic analysis showed that high carbon and nitrogen metabolism was associated with individuals that convert protein from the feed more efficiently, primarily due to higher expression of the proteasome, lipid, and carbon metabolic pathways in liver. In addition, we identified seven transcription factors that were associated with carbon and nitrogen metabolism and located in the identified QTL regions. Conclusions Analyses revealed one QTL associated with pre-smolt growth and one QTL for carbon metabolism in the liver. Both of these traits are associated with feed efficiency. However, more accurate mapping of the putative QTL will require a more diverse family material. In this experiment, fish that have a high carbon and nitrogen metabolism in the liver converted protein from the feed more efficiently, potentially because of a higher expression of the proteasome, lipid, and carbon metabolic pathways in liver. Within the QTL regions, we detected seven transcription factors that were associated with carbon and nitrogen metabolism.
url http://link.springer.com/article/10.1186/s12711-020-00587-x
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