Interacting Phenotypes and the Evolutionary Process: I. Direct and Indirect Genetic Effects of Social Interactions

Evolution ◽  
1997 ◽  
Vol 51 (5) ◽  
pp. 1352 ◽  
Author(s):  
Allen J. Moore ◽  
Edmund D. Brodie ◽  
Jason B. Wolf
2021 ◽  
Author(s):  
Stephen P. De Lisle ◽  
Daniel I. Bolnick ◽  
Edmund D. Brodie ◽  
Allen J. Moore ◽  
Joel W. McGlothlin

AbstractCoevolution occurs when species interact to influence one another’s fitness, resulting in reciprocal evolutionary change. In many coevolving lineages, trait expression in one species is modified by the genotypes and phenotypes of the other, forming feedback loops reminiscent of models of intraspecific social evolution. Here, we adapt the theory of within-species social evolution, characterized by indirect genetic effects and social selection imposed by interacting individuals, to the case of interspecific interactions. In a trait-based model, we derive general expressions for multivariate evolutionary change in two species and the expected between-species covariance in evolutionary change across a selection mosaic. We show that reciprocal interspecific indirect genetic effects can dominate the coevolutionary process and drive patterns of correlated evolution beyond what is expected from direct selection alone. In extreme cases, interspecific indirect genetic effects can lead to coevolution when selection does not covary between species or even when one species lacks genetic variance. Moreover, our model indicates that interspecific indirect genetic effects may interact in complex ways with cross-species selection to determine the course of coevolution. Importantly, our model makes empirically testable predictions for how different forms of reciprocal interactions contribute to the coevolutionary process and influence the geographic mosaic of coevolution.


Evolution ◽  
2022 ◽  
Author(s):  
Stephen P. De Lisle ◽  
Daniel I. Bolnick ◽  
Edmund D. Brodie ◽  
Allen J. Moore ◽  
Joel W. McGlothlin

PLoS ONE ◽  
2015 ◽  
Vol 10 (5) ◽  
pp. e0126907 ◽  
Author(s):  
Barbora Trubenová ◽  
Sebastian Novak ◽  
Reinmar Hager

1999 ◽  
Vol 153 (3) ◽  
pp. 254-266 ◽  
Author(s):  
Jason B. Wolf ◽  
Edmund D. Brodie III ◽  
Allen J. Moore

2018 ◽  
Author(s):  
Amelie Baud ◽  
Francesco Paolo Casale ◽  
Jerome Nicod ◽  
Oliver Stegle

AbstractThe phenotype of an individual can be affected not only by the individual’s own genotypes (direct genetic effects, DGE) but also by genotypes of other, interacting individuals (indirect genetic effects, IGE). IGE have been detected, using polygenic models, for a broad range of biomedical phenotypes. However, little is known about the loci, genes and traits of interacting partners mediating the effects, especially where non-familial IGE are concerned. To address this question, we studied IGE arising in cages of unrelated, adult laboratory mice. We leveraged a dataset of 170 behavioural, physiological and morphological phenotypes measured in 1,812 genetically heterogeneous mice and developed two approaches. First, we used variance components models to estimate, for each phenotype, the correlation between DGE and IGE. Our results demonstrate some overlap but also differences between the mechanisms of DGE and IGE for a given phenotype. Second, we developed and applied methods for the genome-wide association study of IGE (igeGWAS) in order to identify loci, genes and traits of cage mates mediating IGE. We identified 24 genomewide significant IGE loci for 17 phenotypes (FDR < 10%), none of which overlapped with genome-wide significant DGE loci for the same phenotype. Using an exhaustive list of single nucleotide polymorphisms at each locus, we fine-mapped each association. At six loci this pointed to a single candidate gene, which we used to formulate specific hypotheses as to the mechanisms of IGE. The empirical insights from our study and the analytical strategies we have developed pave the way for using igeGWAS to unravel mechanisms of phenotypic variation that are expressed only in the context of social interactions.


2013 ◽  
Vol 3 (6) ◽  
pp. 1692-1701 ◽  
Author(s):  
Mark A. Genung ◽  
Joseph K. Bailey ◽  
Jennifer A. Schweitzer

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