Santa Fe Institute Collaboration Platform

COMPLEX TIME: Adaptation, Aging, & Arrow of Time

Get Involved!
Contact: Amy P. Chen, Program Manager, amypchen@santafe.edu

Fisher's geometrical model and the mutational patterns of antibiotic resistance across dose gradients

From Complex Time
Revision as of 21:52, April 9, 2019 by OphelieRonce (talk | contribs) (Created page with "{{Reference Material |Meeting=Hallmarks of Biological Failure |Added by=OphelieRonce |title=Fisher's geometrical model and the mutational patterns of antibiotic resistance acr...")

(diff) ← Older revision | Approved revision (diff) | Latest revision (diff) | Newer revision → (diff)
Category
General Reference
author-supplied keywords
keywords
authors
title
Fisher's geometrical model and the mutational patterns of antibiotic resistance across dose gradients
type
journal
year
2017
source
Evolution
pages
23-37
volume
71
issue
1
publisher
Society for the Study of Evolution

Abstract

Fisher's geometrical model (FGM) has been widely used to depict the fitness effects of mutations. It is a general model with few underlying assumptions that gives a large and comprehensive view of adaptive processes. It is thus attractive in several situations, for example adaptation to antibiotics, but comes with limitations, so that more mechanistic approaches are often preferred to interpret experimental data. It might be possible however to extend FGM assumptions to better account for mutational data. This is theoretically challenging in the context of antibiotic resistance because resistance mutations are assumed to be rare. In this article, we show with Escherichia coli how the fitness effects of resistance mutations screened at different doses of nalidixic acid vary across a dose-gradient. We found experimental patterns qualitatively consistent with the basic FGM (rate of resistance across doses, gamma distributed costs) but also unexpected patterns such as a decreasing mean cost of resistance with increasing screen dose. We show how different extensions involving mutational modules and variations in trait covariance across environments, can be discriminated based on these data. Overall, simple extensions of the FGM accounted well for complex mutational effects of resistance mutations across antibiotic doses.

Counts

Citation count From Scopus. Refreshed every 5 days.
Page views
Error!Error!"Error!Error!" is not a number.

Identifiers

  • doi: 10.1111/evo.13111 (Google search)
  • issn: 15585646
  • sgr: 85006263447
  • scopus: 2-s2.0-85006263447
  • pui: 613762171

Add a file