This is a limited proof of concept to search for research data, not a production system.

Search the MIT Libraries

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

Authors: Albecker, Molly ; Trussell, Geoffrey ; Lotterhos, Katie ;

Links

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 results

Rights


Much of the data past this point we don't have good examples of yet. Please share in #rdi slack if you have good examples for anything that appears below. Thanks!

Funding Information

AwardnumberAwarduriFunderidentifierFunderidentifiertypeFundername
NSF Division of Ocean Sciences (NSF OCE) OCE-1764316

Format

electronic resource

Locations

KindValueGeopoint
United States

Relateditems

DescriptionItem typeRelationshipUri
Not specifiedhttp://lod.bco-dmo.org/id/dataset/877456
Not specifiedhttps://doi.org/10.26008/1912/bco-dmo.877456.1