DOI: 10.5061/dryad.51c59zw6x
title: Data From: Evaluating the correlation between genome-wide diversity and the release of plastic phenotypic variation in experimental translocations to novel natural environments

description: Phenotypic reaction norms are often shaped and constrained by selection
 and are important for allowing organisms to respond to environmental
 change. However, selection cannot constrain reaction norms for
 environmental conditions that populations have not experienced. This may
 allow cryptic neutral genetic variation for the reaction norm to
 accumulate such that a release of phenotypic variation occurs when it is
 exposed to novel conditions. Most genomic diversity behaves as if
 functionally neutral. Genome-wide diversity metrics may therefore
 correlate with levels of cryptic genetic variation and, as a result, could
 exhibit a positive relationship with a release of phenotypic variation in
 novel environments. To test this hypothesis, we conducted translocations
 of juvenile brook trout (Salvelinus fontinalis) from 12 populations to
 novel uninhabited ponds that represented a gradient of environmental
 conditions. We assessed reaction norms for morphological traits (body size
 and four morphometric relative warps) across pond environmental gradients
 and evaluated the effect of genome-wide heterozygosity on phenotypic
 variability. All traits displayed plastic reaction norms. Overall, we
 found some evidence that a release of phenotypic variation consistent with
 cryptic genetic variation can occur in novel environmental conditions.
 However, the extent to which this release was correlated with average
 genome-wide diversity was limited to only one of five morphological traits
 examined. Our results suggest that the link between genomic diversity and
 the accumulation of cryptic genetic variation in reaction norms may be
 limited. Similarly, reaction norms were constrained for many of the
 morphological traits examined. Past conditions may have constrained
 reaction norms in the putatively novel environments despite significant
 deviations from contemporary source population habitat. Additionally, as a
 generalist colonizing species brook trout may exhibit plastic phenotypes
 across a wide range of environmental conditions.
description: Environmental data was collected from novel ponds Brook Trout
 were transplanted to. Relative warp data was collected from photographs
 taken of surviving trout using the program ImageJ. Relative Warp analysis
 was conducted using the program TPSdig. Genomic data was derived from
 Yates et al. 2019, <em>Proc R Soc B, </em>286:20191989. All
 other statistical analyses were conducted using the program R using the
 package lme4.
description: Individual-level dataset: Contains relative
 warp and centroid size data for each individual fish in the dataset
 (variables RW1-RW24, 'centroid.size). Also contains population of
 origin, year of translocation, specific pond the individual was
 translocated to ('pond'), heterozygosity data
 ('He.genomic'), and relevant environmental variables:
 DO = Dissolved Oxygen Temperature.C = average
 pond temperature in Celsius Silt.prop = proportion of
 substrate that is silt Depth.cm = average pond depth in
 cm Initial.Density = initial density of stocked
 fish Pond-level dataset: Variables
 as above, except: Centroid.Size.CoV.unbiased = unbiased
 estimate of the variance in centroid size of surviving fish from a pond
 translocation event RW1-RW4.sd.unbiased = unbiased
 estimate of the variance in Relative warps of surviving fish from a pond
 translocation event Mean.Centroid.Size = mean centroid
 size of surviving fish from a pond translocation event
 Stream.sd.('Centroid', 'RW1'-'RW4')
 = variance in centroid size/relative warp of fish inhabiting stream of
 origin of stocked population