# Unveiling population structure in South Pacific albacore: insights from genetics and growth

## TL;DR

This study finds genetic and growth differences between western and eastern South Pacific albacore tuna, suggesting possible subpopulations that could affect management strategies.

## Contribution

The study combines adaptive genomics and growth analysis to reveal population structure in South Pacific albacore tuna.

## Key findings

- Genetic analysis shows differentiation between western and eastern Pacific albacore samples.
- Western albacore grow larger, while eastern individuals grow faster and have different scaling relationships.
- The results suggest spatially structured variation consistent with partially differentiated subpopulations.

## Abstract

Albacore (Thunnus alalunga) is a high-value, highly migratory tuna in the South Pacific that is currently assessed and managed as a single stock. Uncertainty it remains over whether southwestern and southeastern individuals constitute the same biological population, with implications for stock assessment and management. Here, we tested for population structure by combining genome-wide resequencing (from which a panel of putatively adaptive SNPs was derived) with analyses of growth (length-weight relationships and growth parameter estimates). Genetic analyses using adaptive markers revealed differentiation between western (WCPO) and eastern Pacific samples. Growth analyses indicated regional differences: western individuals attain larger asymptotic sizes (L∞), whereas eastern individuals exhibit faster growth (higher k) and different length-weight scaling (b). Together, the results provide moderate genomic evidence and strong phenotypic evidence for spatially structured variation in South Pacific albacore, consistent with a mixture of partially differentiated subpopulations. Further broad-scale sampling and integrative studies (e.g., neutral and adaptive genomics, otolith chemistry, tagging, and age-structured growth models) are needed to disentangle environmental and genetic drivers and to evaluate alternative stock-structure hypotheses for management.

The online version contains supplementary material available at 10.1038/s41598-025-20480-1.