期刊
出版社
NATL ACAD SCIENCES
DOI: 10.1073/pnas.2207634119
关键词
evolution; adaptation; vgll3; six6; large-effect
资金
- Statkraft AS
- Norwegian Research Council [275862, 280308]
- NINA
Understanding the potential of natural populations to adapt to altered environments is crucial in evolutionary research. In this study, we investigated how the body mass of Atlantic salmon adapts to river regulation using time series data spanning nearly a century. Our results revealed that the change in body mass followed the change in waterflow, and allele frequency changes at specific loci predicted a significant portion of the observed reduction in body mass. Modeling the adaptive dynamics showed that the population mean lagged behind before catching up after approximately six salmon generations.
Understanding the potential of natural populations to adapt to altered environments is becoming increasingly relevant in evolutionary research. Currently, our understanding of adaptation to human alteration of the environment is hampered by lack of knowledge on the genetic basis of traits, lack of time series, and little or no information on changes in optimal trait values. Here, we used time series data spanning nearly a century to investigate how the body mass of Atlantic salmon (Salmo salar) adapts to river regulation. We found that the change in body mass followed the change in waterflow, both decreasing to similar to 1/3 of their original values. Allele frequency changes at two loci in the regions of vgll3 and six6 predicted more than 80% of the observed body mass reduction. Modeling the adaptive dynamics revealed that the population mean lagged behind its optimum before catching up approximately six salmon generations after the initial waterflow reduction. Our results demonstrate rapid adaptation mediated by large-effect loci and provide insight into the temporal dynamics of evolutionary rescue following human disturbance.
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