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Data from: Meta-analytical evidence for frequency-dependent selection across the tree of life

Cite this dataset

Gomez, Miguel; Bassar, Ronald; Svensson, Erik; Siepielski, Adam (2024). Data from: Meta-analytical evidence for frequency-dependent selection across the tree of life [Dataset]. Dryad. https://doi.org/10.5061/dryad.73n5tb357

Abstract

Explaining the maintenance of genetic variation in fitness related traits within populations is a fundamental challenge in ecology and evolutionary biology. Frequency-dependent selection (FDS) is one mechanism that can maintain such variation, especially when selection favours rare variants (negative FDS). However, our general knowledge about the occurrence of FDS, its strength and direction remain fragmented, limiting general inferences about this important evolutionary process. We systematically reviewed the published literature on FDS and assembled a database of 747 effect sizes from 101 studies to analyse the occurrence, strength, and direction of FDS, and the factors that could explain heterogeneity in FDS. Using a meta-analysis, we found that overall, FDS is more commonly negative, although not significantly when accounting for phylogeny. An analysis of absolute values of effect sizes, however, revealed the widespread occurrence of modest FDS. However, negative FDS was only significant in laboratory experiments and non-significant in mesocosms and field-based studies. Moreover, negative FDS was stronger in studies measuring fecundity and involving resource competition over studies using other fitness components or focused on other ecological interactions. Our study unveils key general patterns of FDS and points in future promising research directions that can help us understand a long-standing fundamental problem in evolutionary biology and its consequences for demography and ecological dynamics.

README: Data from: Meta-analytical evidence for frequency-dependent selection across the tree of life

https://doi.org/10.5061/dryad.73n5tb357

All the analyses and functions to replicate the study are in Code.R

Data is found in Data_FDS.csv

Description of the data and file structure

metadata with the description of every variable is Metadata.csv

NA = Not available

Funding

National Science Foundation, Award: DEB 1748945

National Science Foundation, Award: DEB 2306183

National Science Foundation, Award: DEB 2100163

Swedish Research Council, Award: 2020- 03123