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Predictable properties of fitness landscapes induced by adaptational tradeoffs
Fitness effects of mutations depend on environmental parameters. For example, mutations that increase fitness of bacteria at high antibiotic concentration often decrease fitness in the absence of antibiotic, exemplifying a tradeoff between adaptation to environmental extremes. We develop a mathemati...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297540/ https://www.ncbi.nlm.nih.gov/pubmed/32423531 http://dx.doi.org/10.7554/eLife.55155 |
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author | Das, Suman G Direito, Susana OL Waclaw, Bartlomiej Allen, Rosalind J Krug, Joachim |
author_facet | Das, Suman G Direito, Susana OL Waclaw, Bartlomiej Allen, Rosalind J Krug, Joachim |
author_sort | Das, Suman G |
collection | PubMed |
description | Fitness effects of mutations depend on environmental parameters. For example, mutations that increase fitness of bacteria at high antibiotic concentration often decrease fitness in the absence of antibiotic, exemplifying a tradeoff between adaptation to environmental extremes. We develop a mathematical model for fitness landscapes generated by such tradeoffs, based on experiments that determine the antibiotic dose-response curves of Escherichia coli strains, and previous observations on antibiotic resistance mutations. Our model generates a succession of landscapes with predictable properties as antibiotic concentration is varied. The landscape is nearly smooth at low and high concentrations, but the tradeoff induces a high ruggedness at intermediate antibiotic concentrations. Despite this high ruggedness, however, all the fitness maxima in the landscapes are evolutionarily accessible from the wild type. This implies that selection for antibiotic resistance in multiple mutational steps is relatively facile despite the complexity of the underlying landscape. |
format | Online Article Text |
id | pubmed-7297540 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-72975402020-06-18 Predictable properties of fitness landscapes induced by adaptational tradeoffs Das, Suman G Direito, Susana OL Waclaw, Bartlomiej Allen, Rosalind J Krug, Joachim eLife Computational and Systems Biology Fitness effects of mutations depend on environmental parameters. For example, mutations that increase fitness of bacteria at high antibiotic concentration often decrease fitness in the absence of antibiotic, exemplifying a tradeoff between adaptation to environmental extremes. We develop a mathematical model for fitness landscapes generated by such tradeoffs, based on experiments that determine the antibiotic dose-response curves of Escherichia coli strains, and previous observations on antibiotic resistance mutations. Our model generates a succession of landscapes with predictable properties as antibiotic concentration is varied. The landscape is nearly smooth at low and high concentrations, but the tradeoff induces a high ruggedness at intermediate antibiotic concentrations. Despite this high ruggedness, however, all the fitness maxima in the landscapes are evolutionarily accessible from the wild type. This implies that selection for antibiotic resistance in multiple mutational steps is relatively facile despite the complexity of the underlying landscape. eLife Sciences Publications, Ltd 2020-05-19 /pmc/articles/PMC7297540/ /pubmed/32423531 http://dx.doi.org/10.7554/eLife.55155 Text en © 2020, Das et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Das, Suman G Direito, Susana OL Waclaw, Bartlomiej Allen, Rosalind J Krug, Joachim Predictable properties of fitness landscapes induced by adaptational tradeoffs |
title | Predictable properties of fitness landscapes induced by adaptational tradeoffs |
title_full | Predictable properties of fitness landscapes induced by adaptational tradeoffs |
title_fullStr | Predictable properties of fitness landscapes induced by adaptational tradeoffs |
title_full_unstemmed | Predictable properties of fitness landscapes induced by adaptational tradeoffs |
title_short | Predictable properties of fitness landscapes induced by adaptational tradeoffs |
title_sort | predictable properties of fitness landscapes induced by adaptational tradeoffs |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297540/ https://www.ncbi.nlm.nih.gov/pubmed/32423531 http://dx.doi.org/10.7554/eLife.55155 |
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