Wright was right: leveraging old data and new methods to illustrate the critical role of epistasis in genetics and evolution

Author:

Burch Jorja1ORCID,Chin Maximos1,Fontenot Brian E2,Mandal Sabyasachi1ORCID,McKnight Thomas D1,Demuth Jeffery P2,Blackmon Heath13ORCID

Affiliation:

1. Department of Biology, Texas A&M University , College Station, TX , United States

2. Department of Biology, University of Texas at Arlington , Arlington, TX , United States

3. Interdisciplinary Program in Ecology and Evolutionary Biology, Texas A&M University , College Station, TX , United States

Abstract

Abstract Much of evolutionary theory is predicated on assumptions about the relative importance of simple additive versus complex epistatic genetic architectures. Previous work suggests traits strongly associated with fitness will lack additive genetic variation, whereas traits less strongly associated with fitness are expected to exhibit more additive genetic variation. We use a quantitative genetics method, line cross analysis, to infer genetic architectures that contribute to trait divergence. By parsing over 1,600 datasets by trait type, clade, and cross divergence, we estimated the relative importance of epistasis across the tree of life. In our comparison between life-history traits and morphological traits, we found greater epistatic contributions to life-history traits. Our comparison between plants and animals showed that animals have more epistatic contribution to trait divergence than plants. In our comparison of within-species versus between-species crosses, we found that only animals exhibit a greater epistatic contribution to trait divergence as divergence increases. While many scientists have argued that epistasis is ultimately of little importance, our results show that epistasis underlies much of trait divergence and must be accounted for in theory and practical applications like domestication, conservation breeding design, and understanding complex diseases.

Funder

National Institute of General Medical Sciences

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,Genetics,Ecology, Evolution, Behavior and Systematics

Reference47 articles.

1. Sewall Wright’s criticism of the gene’s-eye view of evolution;Ågren,2021

2. The genetics of species differences;Allen Orr,2001

3. Inferring the potentially complex genetic architectures of adaptation, sexual dimorphism and genotype by environment interactions by partitioning of mean phenotypes;Armstrong,2019

4. Effects of genetic drift on variance components under a general model of epistasis;Barton,2004

5. An information-theoretic approach to estimating the composite genetic effects contributing to variation among generation means: Moving beyond the joint-scaling test for line cross analysis;Blackmon,2016

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