Literature DB >> 20435762

Adaptive evolution of Escherichia coli K-12 MG1655 during growth on a Nonnative carbon source, L-1,2-propanediol.

Dae-Hee Lee1, Bernhard Ø Palsson.   

Abstract

Laboratory adaptive evolution studies can provide key information to address a wide range of issues in evolutionary biology. Such studies have been limited thus far by the inability of workers to readily detect mutations in evolved microbial strains on a genome scale. This limitation has now been overcome by recently developed genome sequencing technology that allows workers to identify all accumulated mutations that appear during laboratory adaptive evolution. In this study, we evolved Escherichia coli K-12 MG1655 with a nonnative carbon source, l-1,2-propanediol (l-1,2-PDO), for approximately 700 generations. We found that (i) experimental evolution of E. coli for approximately 700 generations in 1,2-PDO-supplemented minimal medium resulted in acquisition of the ability to use l-1,2-PDO as a sole carbon and energy source so that the organism changed from an organism that did not grow at all initially to an organism that had a growth rate of 0.35 h(-1); (ii) six mutations detected by whole-genome resequencing accumulated in the evolved E. coli mutant over the course of adaptive evolution on l-1,2-PDO; (iii) five of the six mutations were within coding regions, and IS5 was inserted between two fuc regulons; (iv) two major mutations (mutations in fucO and its promoter) involved in l-1,2-PDO catabolism appeared early during adaptive evolution; and (v) multiple defined knock-in mutant strains with all of the mutations had growth rates essentially matching that of the evolved strain. These results provide insight into the genetic basis underlying microbial evolution for growth on a nonnative substrate.

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Year:  2010        PMID: 20435762      PMCID: PMC2897412          DOI: 10.1128/AEM.00373-10

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  55 in total

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Journal:  Mol Microbiol       Date:  1997-05       Impact factor: 3.501

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Journal:  J Bacteriol       Date:  1989-02       Impact factor: 3.490

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  62 in total

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Review 3.  New insights into bacterial adaptation through in vivo and in silico experimental evolution.

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Journal:  Nat Rev Microbiol       Date:  2012-03-27       Impact factor: 60.633

4.  Functional integration of a metabolic network model and expression data without arbitrary thresholding.

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5.  Adaptive Evolution of Thermotoga maritima Reveals Plasticity of the ABC Transporter Network.

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Journal:  Appl Environ Microbiol       Date:  2015-06-05       Impact factor: 4.792

6.  Functional and metabolic effects of adaptive glycerol kinase (GLPK) mutants in Escherichia coli.

Authors:  M Kenyon Applebee; Andrew R Joyce; Tom M Conrad; Donald W Pettigrew; Bernhard Ø Palsson
Journal:  J Biol Chem       Date:  2011-05-06       Impact factor: 5.157

7.  Dispensability of Escherichia coli's latent pathways.

Authors:  Sean P Cornelius; Joo Sang Lee; Adilson E Motter
Journal:  Proc Natl Acad Sci U S A       Date:  2011-02-07       Impact factor: 11.205

8.  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
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9.  A Model for Designing Adaptive Laboratory Evolution Experiments.

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10.  Genetic basis of growth adaptation of Escherichia coli after deletion of pgi, a major metabolic gene.

Authors:  Pep Charusanti; Tom M Conrad; Eric M Knight; Karthik Venkataraman; Nicole L Fong; Bin Xie; Yuan Gao; Bernhard Ø Palsson
Journal:  PLoS Genet       Date:  2010-11-04       Impact factor: 5.917

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