Data from: Are heritability and selection related to population size in nature? Meta-analysis and conservation implications
Wood, Jacquelyn L.A., Concordia University
Yates, Matthew C., Concordia University
Fraser, Dylan J., Concordia University
Wood, Jacquelyn L. A., Concordia University
Published Mar 03, 2016 on Dryad.
Cite this dataset
Wood, Jacquelyn L.A.; Yates, Matthew C.; Fraser, Dylan J.; Wood, Jacquelyn L. A. (2016). Data from: Are heritability and selection related to population size in nature? Meta-analysis and conservation implications [Dataset]. Dryad. https://doi.org/10.5061/dryad.rd5rn
It is widely thought that small populations should have less additive genetic variance and respond less efficiently to natural selection than large populations. Across taxa, we meta-analytically quantified the relationship between adult census population size (N) and additive genetic variance (proxy: h2) and found no reduction in h2 with decreasing N; surveyed populations ranged from four to one million individuals (1735 h2estimates, 146 populations, 83 species). In terms of adaptation, ecological conditions may systematically differ between populations of varying N; the magnitude of selection these populations experience may therefore also differ. We thus also meta-analytically tested whether selection changes with N, and found little evidence for systematic differences in the strength, direction, or form of selection with N across different trait types and taxa (7344 selection estimates, 172 populations, 80 species). Collectively, our results (i) indirectly suggest that genetic drift neither overwhelms selection more in small than in large natural populations, nor weakens adaptive potential/h2 in small populations, and (ii) imply that natural populations of varying sizes experience a variety of environmental conditions, without consistently differing habitat quality at small N. However, we caution that the data are currently insufficient to determine whether some small populations may retain adaptive potential definitively. Further study is required into (i) selection and genetic variation in completely isolated populations of known N, underrepresented taxonomic groups, and non-generalist species, (ii) adaptive potential using multidimensional approaches, and (iii) the nature of selective pressures for specific traits.
Database of selection estimates for four types of selection coefficients with associated estimates of population size.
Database of narrow-sense heritability estimates with associated estimates of population size.
R code for selection analyses
MCMCglmm code used in selection meta-analysis and unweighted analysis.
R code for heritability analyses
MCMCglmm code used for heritability meta-analysis and unweighted analysis.
R code for Variable hypothesis analysis
MCMCglmm code used in Variable hypothesis analysis.