1. Life-history genomic regions explain differences in Atlantic salmon marine diet specialization
- Author
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Martin Rasmussen, Craig R. Primmer, Torstein Pedersen, Eero Niemelä, Lars Paulin, Tutku Aykanat, Kjetil Hindar, Mikhail Ozerov, Martin-A. Svenning, Juha-Pekka Vähä, Vidar Wennevik, Evolution, Conservation, and Genomics, Organismal and Evolutionary Biology Research Programme, Institute of Biotechnology, Helsinki Institute of Sustainability Science (HELSUS), University of Helsinki, Evolution, Conservation, and Genomics, University of Helsinki, Institute of Biotechnology, and University of Helsinki, Helsinki Institute of Sustainability Science (HELSUS)
- Subjects
0106 biological sciences ,Ontogeny ,Generalist and specialist species ,01 natural sciences ,Predation ,diet specialization ,Resource Acquisition Is Initialization ,HOMEOBOX GENE ,VDP::Mathematics and natural science: 400::Zoology and botany: 480::Marine biology: 497 ,Salmo ,Life history ,media_common ,2. Zero hunger ,0303 health sciences ,GENETIC STOCK IDENTIFICATION ,PREDATION ,Reproduction ,Genomics ,Biological Evolution ,SALAR L ,Food web ,ontogenetic foraging variation ,1181 Ecology, evolutionary biology ,FOOD-WEB ,POST-SMOLTS ,Atlantic salmon ,media_common.quotation_subject ,Salmo salar ,Foraging ,Climate change ,Zoology ,Biology ,010603 evolutionary biology ,ONTOGENIC NICHE ,03 medical and health sciences ,AGE ,FISH ,Genetic variation ,Specialization (functional) ,Animals ,life-history evolution ,14. Life underwater ,Ecology, Evolution, Behavior and Systematics ,030304 developmental biology ,010604 marine biology & hydrobiology ,ontogenetic diet shift ,GROWTH-RATE ,VDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Marinbiologi: 497 ,biology.organism_classification ,Diet ,Evolutionary biology ,Animal Science and Zoology - Abstract
This is the peer reviewed version of the following article: Aykanat, T., Rasmussen, M., Ozerov, M., Niemelä, E., Paulin, L., Vähä, J.-P., ...Primmer, C. R. (2020). Life‐history genomic regions explain differences in Atlantic salmon marine diet specialization. Journal of Animal Ecology, ?(?), 1-15., which has been published in final form at https://doi.org/10.1111/1365-2656.13324. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. 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 to six6, and suggestively (but non‐significantly) to vgll3 genomic 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.
- Published
- 2020