Literature DB >> 22652227

Visualizing evolution in real time to determine the molecular mechanisms of n-butanol tolerance in Escherichia coli.

Luis H Reyes1, Maria P Almario, James Winkler, Margarita M Orozco, Katy C Kao.   

Abstract

Toxicity of products or feedstock components poses a challenge in the biocatalyst-based production of fuels and chemicals. The genetic determinants that are involved in increased resistance to an inhibitor form the adaptive landscape for the phenotype; so in order to engineer more robust biocatalysts, a better understanding of the adaptive landscape is required. Here, we used an adaptive laboratory evolution method called visualizing evolution in real time (VERT) to help map out part of the adaptive landscape of Escherichia coli tolerance to the biofuel n-butanol. VERT enables identification of adaptive events (population expansions triggered by adaptive mutants) via visualization of the relative proportions of different fluorescently-labeled cells. Knowledge of the occurrence of adaptive events allows for a more systematic isolation of adaptive mutants while simultaneously reducing the number of missed adaptive mutants (and the underlying adaptive mechanisms) that result from clonal interference during the course of in vitro evolution. Based on the evolutionary dynamics observed, clonal interference was found to play a significant role in shaping the population structure of E. coli during exposure to n-butanol, and VERT helped to facilitate the isolation of adaptive mutants from the population. We further combined adaptive laboratory evolution with genome shuffling to significantly enhance the desired n-butanol tolerance phenotype. Subsequent transcriptome analysis of the isolated adaptive mutants revealed different mechanisms of n-butanol resistance in different lineages. In one fluorescently-marked subpopulation, members of the Fur regulon were upregulated; which was not observed in the other subpopulation. In addition, genome sequencing of several adaptive mutants revealed the genetic basis for some of the observed transcriptome profiles. We further elucidated the potential role of the iron-related gene in n-butanol tolerance via overexpression and deletion studies and hypothesized that the upregulation of the iron-related genes indirectly led to modifications in the outer membrane, which contributed to enhanced n-butanol tolerance. Published by Elsevier Inc.

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Year:  2012        PMID: 22652227     DOI: 10.1016/j.ymben.2012.05.002

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  36 in total

1.  Stress Resistance Development and Genome-Wide Transcriptional Response of Escherichia coli O157:H7 Adapted to Sublethal Thymol, Carvacrol, and trans-Cinnamaldehyde.

Authors:  Wenqian Yuan; Zi Jing Seng; Gurjeet Singh Kohli; Liang Yang; Hyun-Gyun Yuk
Journal:  Appl Environ Microbiol       Date:  2018-10-30       Impact factor: 4.792

2.  Fast growth phenotype of E. coli K-12 from adaptive laboratory evolution does not require intracellular flux rewiring.

Authors:  Christopher P Long; Jacqueline E Gonzalez; Adam M Feist; Bernhard O Palsson; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2017-09-23       Impact factor: 9.783

Review 3.  Progress and perspectives on improving butanol tolerance.

Authors:  Siqing Liu; Nasib Qureshi; Stephen R Hughes
Journal:  World J Microbiol Biotechnol       Date:  2017-02-11       Impact factor: 3.312

4.  A Model for Designing Adaptive Laboratory Evolution Experiments.

Authors:  Ryan A LaCroix; Bernhard O Palsson; Adam M Feist
Journal:  Appl Environ Microbiol       Date:  2017-03-31       Impact factor: 4.792

Review 5.  Experimental Design, Population Dynamics, and Diversity in Microbial Experimental Evolution.

Authors:  Bram Van den Bergh; Toon Swings; Maarten Fauvart; Jan Michiels
Journal:  Microbiol Mol Biol Rev       Date:  2018-07-25       Impact factor: 11.056

6.  Dissecting the genetic and metabolic mechanisms of adaptation to the knockout of a major metabolic enzyme in Escherichia coli.

Authors:  Christopher P Long; Jacqueline E Gonzalez; Adam M Feist; Bernhard O Palsson; Maciek R Antoniewicz
Journal:  Proc Natl Acad Sci U S A       Date:  2017-12-18       Impact factor: 11.205

Review 7.  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

8.  Reverse engineering of fatty acid-tolerant Escherichia coli identifies design strategies for robust microbial cell factories.

Authors:  Yingxi Chen; Erin E Boggess; Efrain Rodriguez Ocasio; Aric Warner; Lucas Kerns; Victoria Drapal; Chloe Gossling; Wilma Ross; Richard L Gourse; Zengyi Shao; Julie Dickerson; Thomas J Mansell; Laura R Jarboe
Journal:  Metab Eng       Date:  2020-05-28       Impact factor: 9.783

9.  Lessons in Membrane Engineering for Octanoic Acid Production from Environmental Escherichia coli Isolates.

Authors:  Yingxi Chen; Michael Reinhardt; Natalia Neris; Lucas Kerns; Thomas J Mansell; Laura R Jarboe
Journal:  Appl Environ Microbiol       Date:  2018-09-17       Impact factor: 4.792

10.  Benefits of a Recombination-Proficient Escherichia coli System for Adaptive Laboratory Evolution.

Authors:  George Peabody; James Winkler; Weston Fountain; David A Castro; Enzo Leiva-Aravena; Katy C Kao
Journal:  Appl Environ Microbiol       Date:  2016-10-27       Impact factor: 4.792

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