Literature DB >> 22023573

Adaptive landscapes in evolving populations of Pseudomonas fluorescens.

Anita H Melnyk1, Rees Kassen.   

Abstract

The repeatability of adaptive evolution depends on the ruggedness of the underlying adaptive landscape. We contrasted the relative ruggedness of two adaptive landscapes by measuring the variance in fitness and metabolic phenotype within and among genetically distinct strains of Pseudomonas fluorescens in two environments differing only in the carbon source provided (glucose vs. xylose). Fitness increased in all lines, plateauing in one environment but not the other. The pattern of variance in fitness among replicate lines was unique to the selection environment; it increased over the course of the experiment in xylose but not in glucose. Metabolic phenotypes displayed two results: (1) populations adapted via changes that were distinctive to their selection environment, and (2) endpoint phenotypes were less variable in glucose than in xylose. These results indicate that although the response to selection is highly repeatable at the level of fitness, the underlying genetic routes taken were different for each environment and more variable in xylose. We suggest that this reflects a more rugged adaptive landscape in xylose compared to glucose. Our study demonstrates the utility of using replicate selection lines with different evolutionary starting points to try and quantify the relative ruggedness of adaptive landscapes.
© 2011 The Author(s). Evolution© 2011 The Society for the Study of Evolution.

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Year:  2011        PMID: 22023573     DOI: 10.1111/j.1558-5646.2011.01333.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  16 in total

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Authors:  André Pellerin; Luke Anderson-Trocmé; Lyle G Whyte; Grant M Zane; Judy D Wall; Boswell A Wing
Journal:  Appl Environ Microbiol       Date:  2015-02-06       Impact factor: 4.792

2.  A tortoise-hare pattern seen in adapting structured and unstructured populations suggests a rugged fitness landscape in bacteria.

Authors:  Joshua R Nahum; Peter Godfrey-Smith; Brittany N Harding; Joseph H Marcus; Jared Carlson-Stevermer; Benjamin Kerr
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-11       Impact factor: 11.205

3.  Repeatability of adaptation in experimental populations of different sizes.

Authors:  Josianne Lachapelle; Joshua Reid; Nick Colegrave
Journal:  Proc Biol Sci       Date:  2015-04-22       Impact factor: 5.349

4.  A bayesian MCMC approach to assess the complete distribution of fitness effects of new mutations: uncovering the potential for adaptive walks in challenging environments.

Authors:  Claudia Bank; Ryan T Hietpas; Alex Wong; Daniel N Bolon; Jeffrey D Jensen
Journal:  Genetics       Date:  2014-01-07       Impact factor: 4.562

5.  Laboratory selection quickly erases historical differentiation.

Authors:  Inês Fragata; Pedro Simões; Miguel Lopes-Cunha; Margarida Lima; Bárbara Kellen; Margarida Bárbaro; Josiane Santos; Michael R Rose; Mauro Santos; Margarida Matos
Journal:  PLoS One       Date:  2014-05-02       Impact factor: 3.240

6.  Complete Genome Sequences of Three Novel Pseudomonas fluorescens SBW25 Bacteriophages, Noxifer, Phabio, and Skulduggery.

Authors:  Joanna K Wojtus; Jess L Fitch; Eli Christian; Tara Dalefield; Jacob K Lawes; Kirtana Kumar; Craig L Peebles; Eric Altermann; Heather L Hendrickson
Journal:  Genome Announc       Date:  2017-08-03

7.  Compensatory adaptation and diversification subsequent to evolutionary rescue in a model adaptive radiation.

Authors:  Dong-Hao Zhou; Quan-Guo Zhang
Journal:  Ecol Evol       Date:  2021-06-16       Impact factor: 2.912

8.  Multivariate phenotypic divergence due to the fixation of beneficial mutations in experimentally evolved lineages of a filamentous fungus.

Authors:  Sijmen E Schoustra; David Punzalan; Rola Dali; Howard D Rundle; Rees Kassen
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

Review 9.  Can the experimental evolution programme help us elucidate the genetic basis of adaptation in nature?

Authors:  Susan F Bailey; Thomas Bataillon
Journal:  Mol Ecol       Date:  2015-10-14       Impact factor: 6.185

10.  Evolution by flight and fight: diverse mechanisms of adaptation by actively motile microbes.

Authors:  Olaya Rendueles; Gregory J Velicer
Journal:  ISME J       Date:  2016-09-23       Impact factor: 10.302

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