Literature DB >> 19403860

Microbial experimental evolution.

Albert F Bennett1, Bradley S Hughes.   

Abstract

Microbes have been widely used in experimental evolutionary studies because they possess a variety of valuable traits that facilitate large-scale experimentation. Many replicated populations can be cultured in the laboratory simultaneously along with appropriate controls. Short generation times and large population sizes make microbes ideal experimental subjects, ensuring that many spontaneous mutations occur every generation and that adaptive variants can spread rapidly through a population. Another highly useful experimental feature is the ability to preserve and store ancestral and evolutionarily derived clones. These can be revived in parallel to allow the direct measurement of the competitive fitness of a descendant compared with its ancestor. The extent of adaptation can thereby be measured quantitatively and compared statistically by direct competition among derived groups and with the ancestor. Thus, fitness and adaptation need not be matters of qualitative speculation, but are quantitatively measurable variables in these systems. Replication allows the quantification of heterogeneity in responses to imposed selection and thereby statistical distinction between changes that are systematic responses to the selective regimen and those that are specific to individual populations.

Entities:  

Mesh:

Year:  2009        PMID: 19403860     DOI: 10.1152/ajpregu.90562.2008

Source DB:  PubMed          Journal:  Am J Physiol Regul Integr Comp Physiol        ISSN: 0363-6119            Impact factor:   3.619


  17 in total

1.  Expanding the Limits of Thermoacidophily in the Archaeon Sulfolobus solfataricus by Adaptive Evolution.

Authors:  Samuel McCarthy; Tyler Johnson; Benjamin J Pavlik; Sophie Payne; Wendy Schackwitz; Joel Martin; Anna Lipzen; Erica Keffeler; Paul Blum
Journal:  Appl Environ Microbiol       Date:  2015-11-20       Impact factor: 4.792

2.  Adaptation and heterogeneity of Escherichia coli MC1000 growing in complex environments.

Authors:  Pilar Eliana Puentes-Téllez; Martin Asser Hansen; Søren Johannes Sørensen; Jan Dirk van Elsas
Journal:  Appl Environ Microbiol       Date:  2012-11-30       Impact factor: 4.792

3.  Metabolomic analysis of the selection response of Drosophila melanogaster to environmental stress: are there links to gene expression and phenotypic traits?

Authors:  Anders Malmendal; Jesper Givskov Sørensen; Johannes Overgaard; Martin Holmstrup; Niels Chr Nielsen; Volker Loeschcke
Journal:  Naturwissenschaften       Date:  2013-04-10

Review 4.  The emergence of adaptive laboratory evolution as an efficient tool for biological discovery and industrial biotechnology.

Authors:  Troy E Sandberg; Michael J Salazar; Liam L Weng; Bernhard O Palsson; Adam M Feist
Journal:  Metab Eng       Date:  2019-08-08       Impact factor: 9.783

5.  Evolutionary perspectives in a mutualism of sepiolid squid and bioluminescent bacteria: combined usage of microbial experimental evolution and temporal population genetics.

Authors:  W Soto; E B Punke; M K Nishiguchi
Journal:  Evolution       Date:  2012-01-12       Impact factor: 3.694

6.  Evolutionary engineering to improve Wickerhamomyces subpelliculosus and Kazachstania gamospora for baking.

Authors:  Thandiwe Semumu; Amparo Gamero; Teun Boekhout; Nerve Zhou
Journal:  World J Microbiol Biotechnol       Date:  2022-01-28       Impact factor: 3.312

Review 7.  The functional basis of adaptive evolution in chemostats.

Authors:  David Gresham; Jungeui Hong
Journal:  FEMS Microbiol Rev       Date:  2014-12-04       Impact factor: 16.408

8.  The FlyCatwalk: a high-throughput feature-based sorting system for artificial selection in Drosophila.

Authors:  Vasco Medici; Sibylle Chantal Vonesch; Steven N Fry; Ernst Hafen
Journal:  G3 (Bethesda)       Date:  2015-01-02       Impact factor: 3.154

9.  Extremely rapid acclimation of Escherichia coli to high temperature over a few generations of a fed-batch culture during slow warming.

Authors:  Stéphane Guyot; Laurence Pottier; Alain Hartmann; Mélanie Ragon; Julia Hauck Tiburski; Paul Molin; Eric Ferret; Patrick Gervais
Journal:  Microbiologyopen       Date:  2013-12-20       Impact factor: 3.139

Review 10.  Adaptive laboratory evolution -- principles and applications for biotechnology.

Authors:  Martin Dragosits; Diethard Mattanovich
Journal:  Microb Cell Fact       Date:  2013-07-01       Impact factor: 5.328

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