Abstract

As studies move into deeper characterization of the impact of selection through non-neutral mutations in whole genome population genetics, modeling for selection becomes crucial. Moreover, epistasis has long been recognized as a significant component in understanding the evolution of complex genetic systems. We present a backward coalescent model, EpiSimRA, that accommodates multiple loci selection, with multi-way (k-way) epistasis for any arbitrary k. Starting from arbitrary extant populations with epistatic sites, we trace the Ancestral Recombination Graph (ARG), sampling relevant recombination and coalescent events. Our framework allows for studying different complex evolutionary scenarios in the presence of selective sweeps, positive and negative selection with multiway epistasis. We also present a forward counterpart of the coalescent model based on a Wright-Fisher (WF) process, which we use as a validation framework, comparing the hallmarks of the ARG between the two. We provide the first framework that allows a nose-to-nose comparison of multiway epistasis in a coalescent simulator with its forward counterpart with respect to the hallmarks of the ARG. We demonstrate, through extensive experiments, that EpiSimRA is consistently superior in terms of performance (seconds vs. hours) in comparison to the forward model without compromising on its accuracy.

Highlights

  • IntroductionNothing in Biology Makes Sense Except in the Light of Evolution [1], and simulating the evolution process, whether of multi-cellular humans, unicellular micro-organisms or even cancer-tumors, continues to be an important device in understanding the observed molecular profiles of populations

  • EpiSimRA source, executable, user manuals are available at: https://github.com/ComputationalGenomics/SimRA.Nothing in Biology Makes Sense Except in the Light of Evolution [1], and simulating the evolution process, whether of multi-cellular humans, unicellular micro-organisms or even cancer-tumors, continues to be an important device in understanding the observed molecular profiles of populations

  • Thereafter, we show the concordance between the coalescent and forward models for complex evolutionary scenarios and conclude by discussing multiway epistasis in simulating real world scenarios of admixture, cryptic relatedness and viral phylodynamics

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Summary

Introduction

Nothing in Biology Makes Sense Except in the Light of Evolution [1], and simulating the evolution process, whether of multi-cellular humans, unicellular micro-organisms or even cancer-tumors, continues to be an important device in understanding the observed molecular profiles of populations. These profiles are an attribute of the genetic variability due to mutations and the change in frequency of alleles within populations over time. There are mainly two types of simulation algorithms: backward-time or coalescent and forward-time. The coalescent simulation [5]

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