Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lind, Peter A, Libby, Eric, Herzog, Jenny, Rainey, Paul B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2019
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
_version_ 1783386046646452224
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
work_keys_str_mv AT lindpetera predictingmutationalroutestonewadaptivephenotypes
AT libbyeric predictingmutationalroutestonewadaptivephenotypes
AT herzogjenny predictingmutationalroutestonewadaptivephenotypes
AT raineypaulb predictingmutationalroutestonewadaptivephenotypes