Literature DB >> 30045954

Experimental Design, Population Dynamics, and Diversity in Microbial Experimental Evolution.

Bram Van den Bergh1,2,3, Toon Swings4,2, Maarten Fauvart4,2,5, Jan Michiels1,2.   

Abstract

In experimental evolution, laboratory-controlled conditions select for the adaptation of species, which can be monitored in real time. Despite the current popularity of such experiments, nature's most pervasive biological force was long believed to be observable only on time scales that transcend a researcher's life-span, and studying evolution by natural selection was therefore carried out solely by comparative means. Eventually, microorganisms' propensity for fast evolutionary changes proved us wrong, displaying strong evolutionary adaptations over a limited time, nowadays massively exploited in laboratory evolution experiments. Here, we formulate a guide to experimental evolution with microorganisms, explaining experimental design and discussing evolutionary dynamics and outcomes and how it is used to assess ecoevolutionary theories, improve industrially important traits, and untangle complex phenotypes. Specifically, we give a comprehensive overview of the setups used in experimental evolution. Additionally, we address population dynamics and genetic or phenotypic diversity during evolution experiments and expand upon contributing factors, such as epistasis and the consequences of (a)sexual reproduction. Dynamics and outcomes of evolution are most profoundly affected by the spatiotemporal nature of the selective environment, where changing environments might lead to generalists and structured environments could foster diversity, aided by, for example, clonal interference and negative frequency-dependent selection. We conclude with future perspectives, with an emphasis on possibilities offered by fast-paced technological progress. This work is meant to serve as an introduction to those new to the field of experimental evolution, as a guide to the budding experimentalist, and as a reference work to the seasoned expert.
Copyright © 2018 American Society for Microbiology.

Keywords:  adaptive evolution; evolution experiments; evolutionary biology; experimental evolution; microbial ecology

Mesh:

Year:  2018        PMID: 30045954      PMCID: PMC6094045          DOI: 10.1128/MMBR.00008-18

Source DB:  PubMed          Journal:  Microbiol Mol Biol Rev        ISSN: 1092-2172            Impact factor:   11.056


  489 in total

1.  Harnessing recombination to speed adaptive evolution in Escherichia coli.

Authors:  James Winkler; Katy C Kao
Journal:  Metab Eng       Date:  2012-07-27       Impact factor: 9.783

2.  Escherichia coli populations adapt to complex, unpredictable fluctuations by minimizing trade-offs across environments.

Authors:  S M Karve; D Bhave; D Nevgi; S Dey
Journal:  J Evol Biol       Date:  2016-09-19       Impact factor: 2.411

3.  Diminishing-returns epistasis decreases adaptability along an evolutionary trajectory.

Authors:  Andrea Wünsche; Duy M Dinh; Rebecca S Satterwhite; Carolina Diaz Arenas; Daniel M Stoebel; Tim F Cooper
Journal:  Nat Ecol Evol       Date:  2017-03-01       Impact factor: 15.460

4.  Estimate of the genomic mutation rate deleterious to overall fitness in E. coli.

Authors:  T T Kibota; M Lynch
Journal:  Nature       Date:  1996-06-20       Impact factor: 49.962

5.  Hunger artists: yeast adapted to carbon limitation show trade-offs under carbon sufficiency.

Authors:  Jared W Wenger; Jeffrey Piotrowski; Saisubramanian Nagarajan; Kami Chiotti; Gavin Sherlock; Frank Rosenzweig
Journal:  PLoS Genet       Date:  2011-08-04       Impact factor: 5.917

6.  Sex speeds adaptation by altering the dynamics of molecular evolution.

Authors:  Michael J McDonald; Daniel P Rice; Michael M Desai
Journal:  Nature       Date:  2016-02-24       Impact factor: 49.962

7.  Within Host Evolution Selects for a Dominant Genotype of Mycobacterium tuberculosis while T Cells Increase Pathogen Genetic Diversity.

Authors:  Richard Copin; Xueying Wang; Eddie Louie; Vincent Escuyer; Mireia Coscolla; Sebastien Gagneux; Guy H Palmer; Joel D Ernst
Journal:  PLoS Pathog       Date:  2016-12-14       Impact factor: 6.823

8.  Design and use of multiplexed chemostat arrays.

Authors:  Aaron W Miller; Corrie Befort; Emily O Kerr; Maitreya J Dunham
Journal:  J Vis Exp       Date:  2013-02-23       Impact factor: 1.355

9.  Evolution of stress response in the face of unreliable environmental signals.

Authors:  Markus Arnoldini; Rafal Mostowy; Sebastian Bonhoeffer; Martin Ackermann
Journal:  PLoS Comput Biol       Date:  2012-08-16       Impact factor: 4.475

10.  Niche occupation limits adaptive radiation in experimental microcosms.

Authors:  Michael A Brockhurst; Nick Colegrave; David J Hodgson; Angus Buckling
Journal:  PLoS One       Date:  2007-02-07       Impact factor: 3.240

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  35 in total

1.  Various Evolutionary Trajectories Lead to Loss of the Tobramycin-Potentiating Activity of the Quorum-Sensing Inhibitor Baicalin Hydrate in Burkholderia cenocepacia Biofilms.

Authors:  Andrea Sass; Lisa Slachmuylders; Heleen Van Acker; Ian Vandenbussche; Lisa Ostyn; Mona Bové; Aurélie Crabbé; Laurent R Chiarelli; Silvia Buroni; Filip Van Nieuwerburgh; Emmanuel Abatih; Tom Coenye
Journal:  Antimicrob Agents Chemother       Date:  2019-03-27       Impact factor: 5.191

Review 2.  Evolutionary Repair Experiments as a Window to the Molecular Diversity of Life.

Authors:  Thomas LaBar; Yu-Ying Phoebe Hsieh; Marco Fumasoni; Andrew W Murray
Journal:  Curr Biol       Date:  2020-05-18       Impact factor: 10.834

3.  Increased genetic diversity loss and genetic differentiation in a model marine diatom adapted to ocean warming compared to high CO2.

Authors:  Peng Jin; Jiaofeng Wan; Yunyue Zhou; Kunshan Gao; John Beardall; Jiamin Lin; Jiali Huang; Yucong Lu; Shiman Liang; Kaiqiang Wang; Zengling Ma; Jianrong Xia
Journal:  ISME J       Date:  2022-08-10       Impact factor: 11.217

Review 4.  Biofilm antimicrobial susceptibility through an experimental evolutionary lens.

Authors:  Tom Coenye; Mona Bové; Thomas Bjarnsholt
Journal:  NPJ Biofilms Microbiomes       Date:  2022-10-18       Impact factor: 8.462

5.  Adaptation reduces competitive dominance and alters community assembly.

Authors:  Christopher P Nadeau; Timothy E Farkas; Andrea M Makkay; R Thane Papke; Mark C Urban
Journal:  Proc Biol Sci       Date:  2021-02-17       Impact factor: 5.349

Review 6.  Evolving Perspective on the Origin and Diversification of Cellular Life and the Virosphere.

Authors:  Anja Spang; Tara A Mahendrarajah; Pierre Offre; Courtney W Stairs
Journal:  Genome Biol Evol       Date:  2022-05-31       Impact factor: 4.065

7.  Inference of population genetic parameters from an irregular time series of seasonal influenza virus sequences.

Authors:  Myriam Croze; Yuseob Kim
Journal:  Genetics       Date:  2021-02-09       Impact factor: 4.562

8.  Biotransformation of Daidzein, Genistein, and Naringenin by Streptomyces Species Isolated from High-Altitude Soil of Nepal.

Authors:  Lasata Shrestha; Bishnu P Marasini; Suman Prakash Pradhan; Rajib Kumar Shrestha; Suraj Shrestha; Kamal Prasad Regmi; Bishnu Prasad Pandey
Journal:  Int J Microbiol       Date:  2021-06-19

9.  Cryopreservation of clonal and polyclonal populations of Chlamydomonas reinhardtii.

Authors:  Jacob Boswell; Charles Ross Lindsey; Emily Cook; Frank Rosenzweig; Matthew Herron
Journal:  Biol Methods Protoc       Date:  2021-06-21

10.  Myriocin-induced adaptive laboratory evolution of an industrial strain of Saccharomyces cerevisiae reveals its potential to remodel lipid composition and heat tolerance.

Authors:  Francisca Randez-Gil; Jose A Prieto; Alejandro Rodríguez-Puchades; Josefina Casas; Vicente Sentandreu; Francisco Estruch
Journal:  Microb Biotechnol       Date:  2020-03-25       Impact factor: 5.813

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