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Predicting mutational routes to new adaptive phenotypes
Predicting evolutionary change poses numerous challenges. Here we take advantage of the model bacterium Pseudomonas fluorescens in which the genotype-to-phenotype map determining evolution of the adaptive ‘wrinkly spreader’ (WS) type is known. We present mathematical descriptions of three necessary...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324874/ https://www.ncbi.nlm.nih.gov/pubmed/30616716 http://dx.doi.org/10.7554/eLife.38822 |
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author | Lind, Peter A Libby, Eric Herzog, Jenny Rainey, Paul B |
author_facet | Lind, Peter A Libby, Eric Herzog, Jenny Rainey, Paul B |
author_sort | Lind, Peter A |
collection | PubMed |
description | Predicting evolutionary change poses numerous challenges. Here we take advantage of the model bacterium Pseudomonas fluorescens in which the genotype-to-phenotype map determining evolution of the adaptive ‘wrinkly spreader’ (WS) type is known. We present mathematical descriptions of three necessary regulatory pathways and use these to predict both the rate at which each mutational route is used and the expected mutational targets. To test predictions, mutation rates and targets were determined for each pathway. Unanticipated mutational hotspots caused experimental observations to depart from predictions but additional data led to refined models. A mismatch was observed between the spectra of WS-causing mutations obtained with and without selection due to low fitness of previously undetected WS-causing mutations. Our findings contribute toward the development of mechanistic models for forecasting evolution, highlight current limitations, and draw attention to challenges in predicting locus-specific mutational biases and fitness effects. |
format | Online Article Text |
id | pubmed-6324874 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-63248742019-01-10 Predicting mutational routes to new adaptive phenotypes Lind, Peter A Libby, Eric Herzog, Jenny Rainey, Paul B eLife Evolutionary Biology Predicting evolutionary change poses numerous challenges. Here we take advantage of the model bacterium Pseudomonas fluorescens in which the genotype-to-phenotype map determining evolution of the adaptive ‘wrinkly spreader’ (WS) type is known. We present mathematical descriptions of three necessary regulatory pathways and use these to predict both the rate at which each mutational route is used and the expected mutational targets. To test predictions, mutation rates and targets were determined for each pathway. Unanticipated mutational hotspots caused experimental observations to depart from predictions but additional data led to refined models. A mismatch was observed between the spectra of WS-causing mutations obtained with and without selection due to low fitness of previously undetected WS-causing mutations. Our findings contribute toward the development of mechanistic models for forecasting evolution, highlight current limitations, and draw attention to challenges in predicting locus-specific mutational biases and fitness effects. eLife Sciences Publications, Ltd 2019-01-08 /pmc/articles/PMC6324874/ /pubmed/30616716 http://dx.doi.org/10.7554/eLife.38822 Text en © 2019, Lind 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 | Evolutionary Biology Lind, Peter A Libby, Eric Herzog, Jenny Rainey, Paul B Predicting mutational routes to new adaptive phenotypes |
title | Predicting mutational routes to new adaptive phenotypes |
title_full | Predicting mutational routes to new adaptive phenotypes |
title_fullStr | Predicting mutational routes to new adaptive phenotypes |
title_full_unstemmed | Predicting mutational routes to new adaptive phenotypes |
title_short | Predicting mutational routes to new adaptive phenotypes |
title_sort | predicting mutational routes to new adaptive phenotypes |
topic | Evolutionary Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324874/ https://www.ncbi.nlm.nih.gov/pubmed/30616716 http://dx.doi.org/10.7554/eLife.38822 |
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