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ZENODO
Dataset . 2023
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ZENODO
Dataset . 2023
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Non-additive interaction between genotypes: implications for competitive fitness assays

Authors: Changyi Xiao; Sara Duarri-Redondo; Dagny A. V. Thorholludottir; Yiwen Chen; Christian Schlötterer;

Non-additive interaction between genotypes: implications for competitive fitness assays

Abstract

Competitive fitness assays are widely used in evolutionary biology and typically rely on a reference strain to compare different focal genotypes. This approach implicitly relies on the absence of interaction between the competing genotypes. In other words, the performance of the reference strain must not depend on the competitor. This report scrutinized this assumption by competing diverged Drosophila simulans populations against a common reference strain. We detected strong evidence for interaction between the competing genotypes: 1) Frequency-dependent selection was common with opposite effects in genetically diverged populations. 2) Temporal heterogeneity of fitness estimates, which can be partially attributed to a competitor-specific delay in the eclosion of the reference strain. We propose that this inconsistent behavior of the reference strain can be considered a specific case of a genotype x environment interaction. Focal populations could modify the environment of the reference strain, either indirectly by altering the microbiome composition and food availability or directly by genotype-specific cannibalism. Our results provide new insights into the interaction of diverged genotypes and have important implications for the interpretation of competitive fitness assays.

Keywords

competitive fitness, experimental evolution, Drosophila, frequency-dependent selection

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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