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Genetics of Interactive Behavior in Silver Foxes (Vulpes vulpes)
Ronald M Nelson1,2, Svetlana V Temnykh3, Jennifer L Johnson4
1Division of Computational Genetics, Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Behavior Genetics
|October 21, 2016
Summary
Researchers mapped the genetic basis of behavioral differences in silver foxes (Vulpes vulpes). They identified quantitative trait loci (QTL) and epistatic interactions, revealing complex genetic architecture underlying tame and aggressive behaviors.
Area of Science:
- Genetics
- Animal Behavior
- Evolutionary Biology
Background:
- Selectively bred silver fox strains exhibit distinct behavioral responses to humans.
- Understanding the genetic underpinnings of behavior is crucial for evolutionary and behavioral studies.
Purpose of the Study:
- To identify the genetic basis of behavioral differences between tame and aggressive silver fox strains.
- To investigate the genetic architecture of behavioral traits in a large F2 population.
Main Methods:
- Cross-breeding of tame and aggressive silver fox strains to create an F2 population of 537 individuals.
- Recording of 98 behavioral traits during social interaction tests with a human experimenter.
- Quantitative trait loci (QTL) mapping and principal component (PC) analysis of behavioral data.
Main Results:
- Eight significant and suggestive QTL were identified for behavioral traits.
- Little overlap in QTL was observed across different behavioral contexts (test steps), suggesting context-specific genetic regulation.
- Many individual behavioral traits mapped to the same genomic regions as PC phenotypes, providing locus-specific behavioral information.
- Three pairs of epistatic loci were identified for PC phenotypes, indicating complex genetic interactions.
Conclusions:
- The study reveals a complex genetic architecture underlying behavioral differences between silver fox strains.
- Context-specific QTL regulate distinct behavioral responses in different social interaction scenarios.
- Epistatic interactions contribute significantly to the observed behavioral variation.
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