The Genomic Basis of Evolutionary Innovation in Pseudomonas aeruginosa
Novel traits play a key role in evolution, but their origins remain poorly understood. Here we address this problem by using experimental evolution to study bacterial innovation in real time. We allowed 380 populations of Pseudomonas aeruginosa to adapt to 95 different carbon sources that challenged...
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Public Library of Science
2016
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4858143/ |
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pubmed-48581432016-05-13 The Genomic Basis of Evolutionary Innovation in Pseudomonas aeruginosa Toll-Riera, Macarena San Millan, Alvaro Wagner, Andreas MacLean, R. Craig Research Article Novel traits play a key role in evolution, but their origins remain poorly understood. Here we address this problem by using experimental evolution to study bacterial innovation in real time. We allowed 380 populations of Pseudomonas aeruginosa to adapt to 95 different carbon sources that challenged bacteria with either evolving novel metabolic traits or optimizing existing traits. Whole genome sequencing of more than 80 clones revealed profound differences in the genetic basis of innovation and optimization. Innovation was associated with the rapid acquisition of mutations in genes involved in transcription and metabolism. Mutations in pre-existing duplicate genes in the P. aeruginosa genome were common during innovation, but not optimization. These duplicate genes may have been acquired by P. aeruginosa due to either spontaneous gene amplification or horizontal gene transfer. High throughput phenotype assays revealed that novelty was associated with increased pleiotropic costs that are likely to constrain innovation. However, mutations in duplicate genes with close homologs in the P. aeruginosa genome were associated with low pleiotropic costs compared to mutations in duplicate genes with distant homologs in the P. aeruginosa genome, suggesting that functional redundancy between duplicates facilitates innovation by buffering pleiotropic costs. Public Library of Science 2016-05-05 /pmc/articles/PMC4858143/ /pubmed/27149698 http://dx.doi.org/10.1371/journal.pgen.1006005 Text en © 2016 Toll-Riera et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
repository_type |
Open Access Journal |
institution_category |
Foreign Institution |
institution |
US National Center for Biotechnology Information |
building |
NCBI PubMed |
collection |
Online Access |
language |
English |
format |
Online |
author |
Toll-Riera, Macarena San Millan, Alvaro Wagner, Andreas MacLean, R. Craig |
spellingShingle |
Toll-Riera, Macarena San Millan, Alvaro Wagner, Andreas MacLean, R. Craig The Genomic Basis of Evolutionary Innovation in Pseudomonas aeruginosa |
author_facet |
Toll-Riera, Macarena San Millan, Alvaro Wagner, Andreas MacLean, R. Craig |
author_sort |
Toll-Riera, Macarena |
title |
The Genomic Basis of Evolutionary Innovation in Pseudomonas aeruginosa |
title_short |
The Genomic Basis of Evolutionary Innovation in Pseudomonas aeruginosa |
title_full |
The Genomic Basis of Evolutionary Innovation in Pseudomonas aeruginosa |
title_fullStr |
The Genomic Basis of Evolutionary Innovation in Pseudomonas aeruginosa |
title_full_unstemmed |
The Genomic Basis of Evolutionary Innovation in Pseudomonas aeruginosa |
title_sort |
genomic basis of evolutionary innovation in pseudomonas aeruginosa |
description |
Novel traits play a key role in evolution, but their origins remain poorly understood. Here we address this problem by using experimental evolution to study bacterial innovation in real time. We allowed 380 populations of Pseudomonas aeruginosa to adapt to 95 different carbon sources that challenged bacteria with either evolving novel metabolic traits or optimizing existing traits. Whole genome sequencing of more than 80 clones revealed profound differences in the genetic basis of innovation and optimization. Innovation was associated with the rapid acquisition of mutations in genes involved in transcription and metabolism. Mutations in pre-existing duplicate genes in the P. aeruginosa genome were common during innovation, but not optimization. These duplicate genes may have been acquired by P. aeruginosa due to either spontaneous gene amplification or horizontal gene transfer. High throughput phenotype assays revealed that novelty was associated with increased pleiotropic costs that are likely to constrain innovation. However, mutations in duplicate genes with close homologs in the P. aeruginosa genome were associated with low pleiotropic costs compared to mutations in duplicate genes with distant homologs in the P. aeruginosa genome, suggesting that functional redundancy between duplicates facilitates innovation by buffering pleiotropic costs. |
publisher |
Public Library of Science |
publishDate |
2016 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4858143/ |
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1613576032987643904 |