10.5061/DRYAD.7T4N0
Aykanat, Tutku
University of Turku
Johnston, Susan E.
University of Edinburgh
University of Turku
Niemelä, Eero
Natural Resources Institute Finland
Orell, Panu
Natural Resources Institute Finland
Erkinaro, Jaakko
Natural Resources Institute Finland
Primmer, Craig R.
University of Turku
Data from: Low but significant genetic differentiation underlies
biologically meaningful phenotypic divergence in a large Atlantic salmon
population
Dryad
dataset
2015
life-history variation
Salmo salar
Cryptic population structure
SNPs
2015-09-10T14:02:02Z
2015-09-10T14:02:02Z
en
https://doi.org/10.1111/mec.13383
9078955 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Despite decades of research assessing the genetic structure of natural
populations, the biological meaning of low yet significant genetic
divergence often remains unclear due to a lack of associated phenotypic
and ecological information. At the same time, structured populations with
low genetic divergence and overlapping boundaries can potentially provide
excellent models to study adaptation and reproductive isolation in cases
where high-resolution genetic markers and relevant phenotypic and life
history information are available. Here, we combined single nucleotide
polymorphism (SNP)-based population inference with extensive phenotypic
and life history data to identify potential biological mechanisms driving
fine-scale subpopulation differentiation in Atlantic salmon (Salmo salar)
from the Teno River, a major salmon river in Europe. Two sympatrically
occurring subpopulations had low but significant genetic differentiation
(FST = 0.018) and displayed marked differences in the distribution of life
history strategies, including variation in juvenile growth rate, age at
maturity and size within age classes. Large, late-maturing individuals
were virtually absent from one of the two subpopulations, and there were
significant differences in juvenile growth rates and size at age after
oceanic migration between individuals in the respective subpopulations.
Our findings suggest that different evolutionary processes affect each
subpopulation and that hybridization and subsequent selection may maintain
low genetic differentiation without hindering adaptive divergence.
Aykanat_et_al_Dryad_filesFILES IN THE BUNDLE: mainparams: parameter file
for the structure runs. NOTE that k and n are "number of
populations" and "number of replicate", respectively and
appropriate number should be used instead of these letters when running
the software. teno_MS = The GenABEL format main file. The file includes
genotype (n= 2874 SNPs), phenotype as well as location information from
662 individuals, which is sufficient to replicate the main results.
Structure raw files.zip = Includes raw results from the structure analysis
which is sufficient to replicate all structure related results.
Norway
Finland