Title: Results using simulated data used to conduct power analyses
Type Dataset Albecker, Molly, Trussell, Geoffrey, Lotterhos, Katie (2022-10-15): Results using simulated data used to conduct power analyses. Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu. Dataset. https://darchive.mblwhoilibrary.org/handle/1912/29430
Links
- Item record in Woods Hole Open Access Server
- Digital object URL
Summary
Spatial covariance between genotypic and environmental influences on phenotypes (CovGE) can result in the nonrandom distribution of genotypes across environmental gradients and is a potentially important factor driving local adaptation. However, a framework to quantify the magnitude and significance of CovGE has been lacking. We develop a novel quantitative/analytical approach to estimate and test the significance of CovGE from reciprocal transplant or common garden experiments, which we validate using simulated data. We demonstrate how power to detect CovGE changes over a range of experimental designs. We confirm an inverse relationship between gene-by-environment interactions (GxE) and CovGE, as predicted by first principles, but show how phenotypes can be influenced by both. The metric provides a way to measure how phenotypic plasticity covaries with genetic differentiation and highlights the importance of understanding the dual influences of CovGE and GxE on phenotypes in studies of local adaptation and species’ responses to environmental change. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/877456
More information
- URI: https://hdl.handle.net/1912/29430
- DOI: 10.26008/1912/bco-dmo.877456.1
- Language: en_US
Subjects
- CovGE, Phenotypic plasticity, Countergradient variation, Cogradient variation
Dates
- accessioned: October 15, 2022
- available: October 15, 2022
- created: October 14, 2022
- Publication date: October 15, 2022
Notes
Dataset: Power output resultsRights
- Creative Commons Attribution 4.0
- https://creativecommons.org/licenses/by/4.0/
Funding Information
Awardnumber | Awarduri | Funderidentifier | Funderidentifiertype | Fundername |
---|---|---|---|---|
NSF Division of Ocean Sciences (NSF OCE) OCE-1764316 |
Format
electronic resource
Locations
Kind | Value | Geopoint |
---|---|---|
United States |
Relateditems
Description | Item type | Relationship | Uri |
---|---|---|---|
Not specified | http://lod.bco-dmo.org/id/dataset/877456 | ||
Not specified | https://doi.org/10.26008/1912/bco-dmo.877456.1 |