# Early life exploration behaviour and life‐history loci are colocalized in an adaptive genomic hotspot in Atlantic salmon

**Authors:** Tutku Aykanat, Jaakko Erkinaro

PMC · DOI: 10.1111/1365-2656.70197 · The Journal of Animal Ecology · 2025-12-05

## TL;DR

Atlantic salmon's early exploration behavior and age at maturity are genetically linked but not directly caused by the same genes, suggesting a complex adaptation mechanism.

## Contribution

Identifies a genomic hotspot where exploration and maturity traits are genetically associated but not pleiotropically linked in wild salmon populations.

## Key findings

- Exploration behavior was genetically linked to a genomic region in one population but not the other.
- A missense SNP in the akap11 gene showed strong association with exploration behavior.
- SNPs in vgll3 and akap11 showed marginal interaction, indicating complex genetic architecture.

## Abstract

The traits that are important for adaptation may exhibit genetic correlation due to pleiotropy or as a result of linkage. Understanding the genetic architecture of such correlations is important for predicting the selection response of populations. Exploration in fishes is a behavioural trait by which individuals may find habitats with better foraging and growth opportunities that subsequently improve their fitness. For example, in Atlantic salmon (Salmo salar), all individuals originate in spawning rivers where females lay eggs, but some juveniles migrate to small tributaries which are not spawning areas but provide favourable habitat patches for young salmon. The increased growth in these nursery streams may facilitate earlier sexual maturation, implying a potential pleiotropy between exploration and maturation traits.In this study, by sampling juveniles from two wild populations in the large Teno River catchment in northernmost Fennoscandia, we tested the genetic association between exploration behaviour in nursery streams across four SNPs that span a 70‐kb long genomic region with a major effect on age at maturity variation. Three of these SNPs are missense mutations in the vgll3 and akap11 genes, and one SNP tags a putative regulatory region with the strongest association with the age‐at‐maturity trait.We show that the exploration behaviour was linked to the genomic region in one of the two studied populations. However, the genetic association was substantial in the missense SNP located in the akap11 gene, which is farthest away from the vgll3 SNPs and previously ruled out as being causally linked to the age at maturity. We also detected a marginal interaction effect between SNPs in the vgll3 gene and akap11, indicating a potentially complex genetic architecture underlying the trait variation.Our results suggest that exploration and age at maturity are co‐inherited within the same haplotype block, but we find no evidence for direct causality via pleiotropy in the region. These two traits may form a coadapted trait complex that may be instrumental in local adaptation processes.

The traits that are important for adaptation may exhibit genetic correlation due to pleiotropy or as a result of linkage. Understanding the genetic architecture of such correlations is important for predicting the selection response of populations. Exploration in fishes is a behavioural trait by which individuals may find habitats with better foraging and growth opportunities that subsequently improve their fitness. For example, in Atlantic salmon (Salmo salar), all individuals originate in spawning rivers where females lay eggs, but some juveniles migrate to small tributaries which are not spawning areas but provide favourable habitat patches for young salmon. The increased growth in these nursery streams may facilitate earlier sexual maturation, implying a potential pleiotropy between exploration and maturation traits.

In this study, by sampling juveniles from two wild populations in the large Teno River catchment in northernmost Fennoscandia, we tested the genetic association between exploration behaviour in nursery streams across four SNPs that span a 70‐kb long genomic region with a major effect on age at maturity variation. Three of these SNPs are missense mutations in the vgll3 and akap11 genes, and one SNP tags a putative regulatory region with the strongest association with the age‐at‐maturity trait.

We show that the exploration behaviour was linked to the genomic region in one of the two studied populations. However, the genetic association was substantial in the missense SNP located in the akap11 gene, which is farthest away from the vgll3 SNPs and previously ruled out as being causally linked to the age at maturity. We also detected a marginal interaction effect between SNPs in the vgll3 gene and akap11, indicating a potentially complex genetic architecture underlying the trait variation.

Our results suggest that exploration and age at maturity are co‐inherited within the same haplotype block, but we find no evidence for direct causality via pleiotropy in the region. These two traits may form a coadapted trait complex that may be instrumental in local adaptation processes.

The genetic architecture of phenotypic correlations offers insights into how natural selection operates in the wild. Two functional phenotypes in Atlantic salmon, early life exploration and age‐at‐maturity, are correlated at an adaptive genomic hotspot, but through distinct genetic markers (SNPs), ruling out causality. Functional traits forming a coadapted trait complex may be instrumental in maintaining local adaptation.

## Linked entities

- **Genes:** VGLL3 (vestigial like family member 3) [NCBI Gene 389136], AKAP11 (A-kinase anchoring protein 11) [NCBI Gene 11215]
- **Species:** Salmo salar (taxon 8030)

## Full-text entities

- **Genes:** akap11 [NCBI Gene 106586515]
- **Species:** Rubroshorea almon (species) [taxon 292004], Salmo salar (Atlantic salmon, species) [taxon 8030]

## Full text

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## Figures

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## References

90 references — full list in the complete paper: https://tomesphere.com/paper/PMC12957736/full.md

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Source: https://tomesphere.com/paper/PMC12957736