---
OA_place: publisher
OA_type: hybrid
_id: '9799'
abstract:
- lang: eng
  text: Fitness interactions between mutations can influence a population’s evolution
    in many different ways. While epistatic effects are difficult to measure precisely,
    important information is captured by the mean and variance of log fitnesses for
    individuals carrying different numbers of mutations. We derive predictions for
    these quantities from a class of simple fitness landscapes, based on models of
    optimizing selection on quantitative traits. We also explore extensions to the
    models, including modular pleiotropy, variable effect sizes, mutational bias and
    maladaptation of the wild type. We illustrate our approach by reanalysing a large
    dataset of mutant effects in a yeast snoRNA. Though characterized by some large
    epistatic effects, these data give a good overall fit to the non-epistatic null
    model, suggesting that epistasis might have limited influence on the evolutionary
    dynamics in this system. We also show how the amount of epistasis depends on both
    the underlying fitness landscape and the distribution of mutations, and so is
    expected to vary in consistent ways between new mutations, standing variation
    and fixed mutations.
article_processing_charge: No
author:
- first_name: Christelle
  full_name: Fraisse, Christelle
  id: 32DF5794-F248-11E8-B48F-1D18A9856A87
  last_name: Fraisse
  orcid: 0000-0001-8441-5075
- first_name: John J.
  full_name: Welch, John J.
  last_name: Welch
citation:
  ama: Fraisse C, Welch JJ. Simulation code for Fig S1 from the distribution of epistasis
    on simple fitness landscapes. 2020. doi:<a href="https://doi.org/10.6084/m9.figshare.7957469.v1">10.6084/m9.figshare.7957469.v1</a>
  apa: Fraisse, C., &#38; Welch, J. J. (2020). Simulation code for Fig S1 from the
    distribution of epistasis on simple fitness landscapes. Royal Society of London.
    <a href="https://doi.org/10.6084/m9.figshare.7957469.v1">https://doi.org/10.6084/m9.figshare.7957469.v1</a>
  chicago: Fraisse, Christelle, and John J. Welch. “Simulation Code for Fig S1 from
    the Distribution of Epistasis on Simple Fitness Landscapes.” Royal Society of
    London, 2020. <a href="https://doi.org/10.6084/m9.figshare.7957469.v1">https://doi.org/10.6084/m9.figshare.7957469.v1</a>.
  ieee: C. Fraisse and J. J. Welch, “Simulation code for Fig S1 from the distribution
    of epistasis on simple fitness landscapes.” Royal Society of London, 2020.
  ista: Fraisse C, Welch JJ. 2020. Simulation code for Fig S1 from the distribution
    of epistasis on simple fitness landscapes, Royal Society of London, <a href="https://doi.org/10.6084/m9.figshare.7957469.v1">10.6084/m9.figshare.7957469.v1</a>.
  mla: Fraisse, Christelle, and John J. Welch. <i>Simulation Code for Fig S1 from
    the Distribution of Epistasis on Simple Fitness Landscapes</i>. Royal Society
    of London, 2020, doi:<a href="https://doi.org/10.6084/m9.figshare.7957469.v1">10.6084/m9.figshare.7957469.v1</a>.
  short: C. Fraisse, J.J. Welch, (2020).
date_created: 2021-08-06T11:26:57Z
date_published: 2020-10-15T00:00:00Z
date_updated: 2026-06-18T19:05:02Z
day: '15'
department:
- _id: BeVi
- _id: NiBa
doi: 10.6084/m9.figshare.7957469.v1
main_file_link:
- open_access: '1'
  url: https://doi.org/10.6084/m9.figshare.7957469.v1
month: '10'
oa: 1
oa_version: Published Version
publisher: Royal Society of London
related_material:
  record:
  - id: '6467'
    relation: used_in_publication
    status: public
status: public
title: Simulation code for Fig S1 from the distribution of epistasis on simple fitness
  landscapes
type: research_data_reference
user_id: 0043cee0-e5fc-11ee-9736-f83bc23afbf0
year: '2020'
...