Dataset: Metadata from meta-analysis on CovGE in phenotypic results
Data Citation:
Albecker, M., Trussell, G., Lotterhos, K. (2022) Metadata for studies from meta-analysis investigating covariance between genetic and environmental (CovGE) effects in phenotypic results. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-08-09 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.877414.1 [access date]
Terms of Use
This dataset is licensed under Creative Commons Attribution 4.0.
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.
DOI:10.26008/1912/bco-dmo.877414.1
Project:
RCN: Evolution in Changing Seas
(RCN ECS)
Principal Investigator:
Katie Lotterhos (Northeastern University)
Co-Principal Investigator:
Geoffrey C. Trussell (Northeastern University)
Contact:
Molly Albecker (Northeastern University)
BCO-DMO Data Manager:
Taylor Heyl (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Shannon Rauch (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Version:
1
Version Date:
2022-08-09
Restricted:
No
Validated:
Yes
Current State:
Final no updates expected
Metadata for studies from meta-analysis investigating covariance between genetic and environmental (CovGE) effects in phenotypic results
Abstract:
Covariance can exist between the genetic and environmental influences on phenotype (CovGE)
and can have an important role in ecological and evolutionary processes in nature and population responses to environmental change. CovGE is commonly called countergradient variation (CnGV; negative CovGE)or cogradient variation (CoGV; positive CovGE)and has been recognized in classic studies that have established several long-standing hypotheses about CnGV and CoGV. For instance, it is hypothesized that CnGV is more prevalent in nature than CoGV, that CnGV is more prevalent in fish, amphibian, and invertebrate taxa, across latitudinal or altitudinal environmental gradients, and more frequently occurs in metabolic compensation traits, including development, growth, feeding, metabolism, and activity, while CoGV is more commonly observed in morphological traits. The recent development of a standardized method to measure CovGE allows for the first rigorous quantitative exploration of these hypotheses. We use meta-analysis and apply the novel quantitative method to test whether the above hypotheses are supported in the literature. We found no differences in frequency of CnGV and CoGV, and no systematic patterns relative to taxa, environmental gradient, or trait type. However, our analyses suggest that CovGE may be as common as gene by environment (GxE) interactions. Given that CovGE is likely to have a strong impact on future outcomes for organisms experiencing environmental change, that significant CovGE occurred frequently, and the lack of systematic patterns in the occurrence of CovGE, we encourage a more widespread application of measuring CovGE.