Cascading indirect genetic effects in a clonal vertebrate

Author:

Makowicz Amber M.1ORCID,Bierbach David234,Richardson Christian1,Hughes Kimberly A.1

Affiliation:

1. Department of Biological Sciences, Florida State University, 319 Stadium Drive, Tallahassee, FL 32304, USA

2. Department of Biology and Ecology of Fishes, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, 12587 Berlin, Germany

3. Excellence Cluster ‘Science of Intelligence,’ Technische Universität Berlin, Marchstraße 23, 10587 Berlin, Germany

4. Faculty of Life Sciences, Thaer-Institute, Humboldt-Universität zu Berlin, Invalidenstrasse 42, 10115 Berlin, Germany

Abstract

Understanding how individual differences arise and how their effects propagate through groups are fundamental issues in biology. Individual differences can arise from indirect genetic effects (IGE): genetically based variation in the conspecifics with which an individual interacts. Using a clonal species, the Amazon molly ( Poecilia formosa ), we test the hypothesis that IGE can propagate to influence phenotypes of the individuals that do not experience them firsthand. We tested this by exposing genetically identical Amazon mollies to conspecific social partners of different clonal lineages, and then moving these focal individuals to new social groups in which they were the only member to have experienced the IGE. We found that genetically different social environments resulted in the focal animals experiencing different levels of aggression, and that these IGE carried over into new social groups to influence the behaviour of naive individuals. These data reveal that IGE can cascade beyond the individuals that experience them. Opportunity for cascading IGE is ubiquitous, especially in species with long-distance dispersal or fission–fusion group dynamics. Cascades could amplify (or mitigate) the effects of IGE on trait variation and on evolutionary trajectories. Expansion of the IGE framework to include cascading and other types of carry-over effects will therefore improve understanding of individual variation and social evolution and allow more accurate prediction of population response to changing environments.

Funder

National Science Foundation

Provost Postdoctoral Fellowship Program

Institutional Animal Care and Use Committee

DFG Germany's Excellence Strategy

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Environmental Science,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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