Atlantic salmon (Salmo salar) age at maturity is strongly affected by temperature, population and age-at-maturity genotype

Author:

Åsheim Eirik R123ORCID,Debes Paul V14ORCID,House Andrew123ORCID,Liljeström Petra13,Niemelä Petri T1ORCID,Siren Jukka P2ORCID,Erkinaro Jaakko5ORCID,Primmer Craig R12ORCID

Affiliation:

1. University of Helsinki Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, , 00014 Helsinki, Finland

2. University of Helsinki Institute of Biotechnology, Helsinki Institute of Life Science (HiLIFE), , Helsinki 00014, Finland

3. University of Helsinki Lammi Biological Station, Faculty of Biological and Environmental Sciences, , 16900 Lammi, Finland

4. Hólar University Department of Aquaculture and Fish Biology, , Sauðárkrókur 550, Iceland

5. Natural Resources Institute Finland (LUKE) , 90014 Oulu, Finland

Abstract

Abstract Age at maturity is a key life history trait involving a trade-off between survival risk and reproductive investment, and is an important factor for population structures. In ectotherms, a warming environment may have a dramatic influence on development and life history, but this influence may differ between populations. While an increasing number of studies have examined population-dependent reactions with temperature, few have investigated this in the context of maturation timing. Atlantic salmon, a species of high conservation relevance, is a good study species for this topic as it displays considerable variation in age at maturity, of which a large proportion has been associated with a genomic region including the strong candidate gene vgll3. Until now, the effect of this gene in the context of different environments and populations has not been studied. Using a large-scale common-garden experiment, we find strong effects of temperature, population-of-origin, and vgll3 genotype on maturation in 2-year-old male Atlantic salmon (Salmo salar). With a temperature difference of 1.8°C, maturation probability was 4.8 times higher in the warm treatment than the cold treatment. This temperature effect was population-specific and was higher in the southern (60.48°N) compared to the northern (65.01°N) population. The early maturation vgll3*E allele was associated with a significantly higher maturation probability, but there was no vgll3 interaction with temperature or population. Both body condition and body mass associated with maturation. The body mass association was only present in the warm treatment. Our findings demonstrate that (i) populations can vary in their response to temperature change in terms of age at maturity, (ii) high intrinsic growth could be associated with higher thermal sensitivity for life history variation and (iii) vgll3 effects on age at maturity might be similar between populations and different thermal environments.

Publisher

Oxford University Press (OUP)

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Ecological Modeling,Physiology

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