Life-history genomic regions explain differences in Atlantic salmon marine diet specialization
1. Animals employ various foraging strategies along their ontogeny to acquire energy, and with varying degree of efficiencies, to support growth, maturation and subsequent reproduction events. Individuals that can efficiently acquire energy early are more likely to mature at an earlier age, as a res...
Published in: | Journal of Animal Ecology |
---|---|
Main Authors: | , , , , , , , , , , |
Other Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
John Wiley & Sons, Ltd (10.1111)
2021
|
Subjects: | |
Online Access: | http://hdl.handle.net/10138/335870 |
id |
ftunivhelsihelda:oai:helda.helsinki.fi:10138/335870 |
---|---|
record_format |
openpolar |
spelling |
ftunivhelsihelda:oai:helda.helsinki.fi:10138/335870 2024-01-07T09:42:11+01:00 Life-history genomic regions explain differences in Atlantic salmon marine diet specialization Aykanat, Tutku Rasmussen, Martin Ozerov, Mikhail Niemelä, Eero Paulin, Lars Vähä, Juha-Pekka Hindar, Kjetil Wennevik, Vidar Pedersen, Torstein Svenning, Martin-A. Primmer, Craig R. Evolution, Conservation, and Genomics Organismal and Evolutionary Biology Research Programme Institute of Biotechnology Helsinki Institute of Sustainability Science (HELSUS) 2021-10-31T23:43:23Z 15 application/pdf http://hdl.handle.net/10138/335870 eng eng John Wiley & Sons, Ltd (10.1111) 10.1111/1365-2656.13324 Acedemy of Finland, Grant/Award Number: 314254, 314255, 318939 and 325964; Atlantic salmon in the Barents Region, Grant/Award Number: KO197; Research Council of Norway, Grant/Award Number: 244086 and 280308 Aykanat , T , Rasmussen , M , Ozerov , M , Niemelä , E , Paulin , L , Vähä , J-P , Hindar , K , Wennevik , V , Pedersen , T , Svenning , M-A & Primmer , C R 2020 , ' Life-history genomic regions explain differences in Atlantic salmon marine diet specialization ' , Journal of Animal Ecology , vol. 89 , no. 11 , pp. 2677-2691 . https://doi.org/10.1111/1365-2656.13324 ORCID: /0000-0002-3687-8435/work/83843241 4e971e6b-82f4-42f4-8b41-69943414d664 http://hdl.handle.net/10138/335870 000573020500001 openAccess info:eu-repo/semantics/openAccess Atlantic salmon diet specialization life-history evolution ontogenetic diet shift ontogenetic foraging variation GENETIC STOCK IDENTIFICATION HOMEOBOX GENE POST-SMOLTS SALAR L ONTOGENIC NICHE GROWTH-RATE FOOD-WEB AGE FISH PREDATION 1181 Ecology evolutionary biology Article acceptedVersion 2021 ftunivhelsihelda 2023-12-14T00:13:59Z 1. Animals employ various foraging strategies along their ontogeny to acquire energy, and with varying degree of efficiencies, to support growth, maturation and subsequent reproduction events. Individuals that can efficiently acquire energy early are more likely to mature at an earlier age, as a result of faster energy gain which can fuel maturation and reproduction. 2. We aimed to test the hypothesis that heritable resource acquisition variation that covaries with efficiency along the ontogeny would influence maturation timing of individuals. 3. To test this hypothesis, we utilized Atlantic salmon as a model which exhibits a simple, hence trackable, genetic control of maturation age. We then monitored the variation in diet acquisition (quantified as stomach fullness and composition) of individuals with different ages, and linked it with genomic regions (haploblocks) that were previously identified to be associated with age-at-maturity. 4. Consistent with the hypothesis, we demonstrated that one of the life-history genomic regions tested (six6) was indeed associated with age-dependent differences in stomach fullness. Prey composition was marginally linked tosix6, and suggestively (but non-significantly) tovgll3genomic regions. We further showed Atlantic salmon switched to the so-called 'feast and famine' strategy along the ontogeny, where older age groups exhibited heavier stomach content, but that came at the expense of running on empty more often. 5. These results suggest genetic variation underlying resource utilization may explain the genetic basis of age structure in Atlantic salmon. Given that ontogenetic diet has a genetic component and the strong spatial diversity associated with these genomic regions, we predict populations with diverse maturation age will have diverse evolutionary responses to future changes in marine food web structures. Peer reviewed Article in Journal/Newspaper Atlantic salmon HELDA – University of Helsinki Open Repository Journal of Animal Ecology 89 11 2677 2691 |
institution |
Open Polar |
collection |
HELDA – University of Helsinki Open Repository |
op_collection_id |
ftunivhelsihelda |
language |
English |
topic |
Atlantic salmon diet specialization life-history evolution ontogenetic diet shift ontogenetic foraging variation GENETIC STOCK IDENTIFICATION HOMEOBOX GENE POST-SMOLTS SALAR L ONTOGENIC NICHE GROWTH-RATE FOOD-WEB AGE FISH PREDATION 1181 Ecology evolutionary biology |
spellingShingle |
Atlantic salmon diet specialization life-history evolution ontogenetic diet shift ontogenetic foraging variation GENETIC STOCK IDENTIFICATION HOMEOBOX GENE POST-SMOLTS SALAR L ONTOGENIC NICHE GROWTH-RATE FOOD-WEB AGE FISH PREDATION 1181 Ecology evolutionary biology Aykanat, Tutku Rasmussen, Martin Ozerov, Mikhail Niemelä, Eero Paulin, Lars Vähä, Juha-Pekka Hindar, Kjetil Wennevik, Vidar Pedersen, Torstein Svenning, Martin-A. Primmer, Craig R. Life-history genomic regions explain differences in Atlantic salmon marine diet specialization |
topic_facet |
Atlantic salmon diet specialization life-history evolution ontogenetic diet shift ontogenetic foraging variation GENETIC STOCK IDENTIFICATION HOMEOBOX GENE POST-SMOLTS SALAR L ONTOGENIC NICHE GROWTH-RATE FOOD-WEB AGE FISH PREDATION 1181 Ecology evolutionary biology |
description |
1. Animals employ various foraging strategies along their ontogeny to acquire energy, and with varying degree of efficiencies, to support growth, maturation and subsequent reproduction events. Individuals that can efficiently acquire energy early are more likely to mature at an earlier age, as a result of faster energy gain which can fuel maturation and reproduction. 2. We aimed to test the hypothesis that heritable resource acquisition variation that covaries with efficiency along the ontogeny would influence maturation timing of individuals. 3. To test this hypothesis, we utilized Atlantic salmon as a model which exhibits a simple, hence trackable, genetic control of maturation age. We then monitored the variation in diet acquisition (quantified as stomach fullness and composition) of individuals with different ages, and linked it with genomic regions (haploblocks) that were previously identified to be associated with age-at-maturity. 4. Consistent with the hypothesis, we demonstrated that one of the life-history genomic regions tested (six6) was indeed associated with age-dependent differences in stomach fullness. Prey composition was marginally linked tosix6, and suggestively (but non-significantly) tovgll3genomic regions. We further showed Atlantic salmon switched to the so-called 'feast and famine' strategy along the ontogeny, where older age groups exhibited heavier stomach content, but that came at the expense of running on empty more often. 5. These results suggest genetic variation underlying resource utilization may explain the genetic basis of age structure in Atlantic salmon. Given that ontogenetic diet has a genetic component and the strong spatial diversity associated with these genomic regions, we predict populations with diverse maturation age will have diverse evolutionary responses to future changes in marine food web structures. Peer reviewed |
author2 |
Evolution, Conservation, and Genomics Organismal and Evolutionary Biology Research Programme Institute of Biotechnology Helsinki Institute of Sustainability Science (HELSUS) |
format |
Article in Journal/Newspaper |
author |
Aykanat, Tutku Rasmussen, Martin Ozerov, Mikhail Niemelä, Eero Paulin, Lars Vähä, Juha-Pekka Hindar, Kjetil Wennevik, Vidar Pedersen, Torstein Svenning, Martin-A. Primmer, Craig R. |
author_facet |
Aykanat, Tutku Rasmussen, Martin Ozerov, Mikhail Niemelä, Eero Paulin, Lars Vähä, Juha-Pekka Hindar, Kjetil Wennevik, Vidar Pedersen, Torstein Svenning, Martin-A. Primmer, Craig R. |
author_sort |
Aykanat, Tutku |
title |
Life-history genomic regions explain differences in Atlantic salmon marine diet specialization |
title_short |
Life-history genomic regions explain differences in Atlantic salmon marine diet specialization |
title_full |
Life-history genomic regions explain differences in Atlantic salmon marine diet specialization |
title_fullStr |
Life-history genomic regions explain differences in Atlantic salmon marine diet specialization |
title_full_unstemmed |
Life-history genomic regions explain differences in Atlantic salmon marine diet specialization |
title_sort |
life-history genomic regions explain differences in atlantic salmon marine diet specialization |
publisher |
John Wiley & Sons, Ltd (10.1111) |
publishDate |
2021 |
url |
http://hdl.handle.net/10138/335870 |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_relation |
10.1111/1365-2656.13324 Acedemy of Finland, Grant/Award Number: 314254, 314255, 318939 and 325964; Atlantic salmon in the Barents Region, Grant/Award Number: KO197; Research Council of Norway, Grant/Award Number: 244086 and 280308 Aykanat , T , Rasmussen , M , Ozerov , M , Niemelä , E , Paulin , L , Vähä , J-P , Hindar , K , Wennevik , V , Pedersen , T , Svenning , M-A & Primmer , C R 2020 , ' Life-history genomic regions explain differences in Atlantic salmon marine diet specialization ' , Journal of Animal Ecology , vol. 89 , no. 11 , pp. 2677-2691 . https://doi.org/10.1111/1365-2656.13324 ORCID: /0000-0002-3687-8435/work/83843241 4e971e6b-82f4-42f4-8b41-69943414d664 http://hdl.handle.net/10138/335870 000573020500001 |
op_rights |
openAccess info:eu-repo/semantics/openAccess |
container_title |
Journal of Animal Ecology |
container_volume |
89 |
container_issue |
11 |
container_start_page |
2677 |
op_container_end_page |
2691 |
_version_ |
1787423118389673984 |