ALBERT

Description: Behavior is rapidly flexible and highly context-dependent, which poses obvious challenges to researchers attempting to dissect its causes. However, over a century of unresolved debate has also focused on whether the very flexibility and context-dependence of behavior lends it a unique role in the evolutionary origins and patterns of diversity in the Animal Kingdom. Here, we propose that both challenges can benefit from studying how indirect genetic effects (IGEs: the effects of genes expressed in one individual on traits in another individual) shape behavioral phenotypes. We provide a sketch of the theoretical framework that grounds IGEs in behavioral ecology research and focus on recent advances made from studies of IGEs in areas of behavioral ecology such as sexual selection, sexual conflict, social dominance, and parent–offspring interactions. There is mounting evidence that IGEs have important influences on behavioral phenotypes associated with these processes, such as sexual signals and preferences and behaviors which function to manipulate interacting partners. IGEs can also influence both responses to selection and selection itself, and considering IGEs refines evolutionary predictions and provides new perspectives on the origins of seemingly perplexing behavioral traits. A key unresolved question, but one that has dominated the behavioral sciences for over a century, is whether behavior is more likely than other types of traits to contribute to evolutionary change and diversification. We advocate taking advantage of an IGE approach to outline falsifiable hypotheses and a general methodology to rigorously test this frequently proposed, yet still contentious, special role of behavior in evolution.

Description: We propose that indirect genetic effects (IGEs) represent an appealing way to dissect the genetics and evolutionary dynamics of complex phenotypes studied in behavioral ecology. IGEs are complementary to inclusive fitness approaches, but as Kruuk and Wilson (2018) observe, are distinct because they do not require assumptions about relatedness (see also McGlothlin et al. 2014 and McDonald et al. 2017 ). Thus, IGEs open up the opportunity to study any social interaction and any trait expressed in a social interaction (See Roff 2018 ). These features of IGEs have enabled behavioral ecologists to study behavior from a slightly different perspective, as an evolutionary feedback process that links individuals and their environments through genes.