This Article Full Text Full Text (PDF) Supplemental Research Data Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Fong, S. S. Articles by Palsson, B. O. Search for Related Content PubMed PubMed Citation Articles by Fong, S. S. Articles by Palsson, B. O. Social Bookmarking                   What's this?

Letter

Parallel adaptive evolution cultures of Escherichia coli lead to convergent growth phenotypes with different gene expression states

¹ Department of Bioengineering, University of California, San Diego, La Jolla, California 92093-0412, USA ² Bioinformatics Program, University of California, San Diego, La Jolla, California 92093-0412, USA

Laboratory evolution can be used to address fundamental questions about adaptation to selection pressures and, ultimately, the process of evolution. In this study, we investigated the reproducibility of growth phenotypes and global gene expression states during adaptive evolution. The results from parallel, replicate adaptive evolution experiments of Escherichia coli K-12 MG1655 grown on either lactate or glycerol minimal media showed that (1) growth phenotypes at the endpoint of evolution are convergent and reproducible; (2) endpoints of evolution have different underlying gene expression states; and (3) the evolutionary gene expression response involves a large number of compensatory expression changes and a smaller number of adaptively beneficial expression changes common across evolution strains. Gene expression changes initially showed a large number of differentially expressed genes in response to an environmental change followed by a return of most genes to a baseline expression level, leaving a relatively small set of differentially expressed genes at the endpoint that varied between evolved populations.

³ Corresponding author.
E-mail palsson{at}ucsd.edu; fax (858) 822-3120.

[Supplemental material is available online at www.genome.org.]

CiteULike    Connotea    Del.icio.us    Digg    Reddit    Technorati    What's this?

This article has been cited by other articles:

				Q. Hua, A. R. Joyce, B. O. Palsson, and S. S. Fong Metabolic Characterization of Escherichia coli Strains Adapted to Growth on Lactate Appl. Envir. Microbiol., July 15, 2007; 73(14): 4639 - 4647. [Abstract] [Full Text] [PDF]

				R. P. Maharjan, S. Seeto, and T. Ferenci Divergence and Redundancy of Transport and Metabolic Rate-Yield Strategies in a Single Escherichia coli Population J. Bacteriol., March 15, 2007; 189(6): 2350 - 2358. [Abstract] [Full Text] [PDF]

				N. C. Duarte, S. A. Becker, N. Jamshidi, I. Thiele, M. L. Mo, T. D. Vo, R. Srivas, and B. O. Palsson Global reconstruction of the human metabolic network based on genomic and bibliomic data PNAS, February 6, 2007; 104(6): 1777 - 1782. [Abstract] [Full Text] [PDF]

				J. M. Lee, E. P. Gianchandani, and J. A. Papin Flux balance analysis in the era of metabolomics Brief Bioinform, June 1, 2006; 7(2): 140 - 150. [Abstract] [Full Text] [PDF]

				C. L. Barrett, C. D. Herring, J. L. Reed, and B. O. Palsson The global transcriptional regulatory network for metabolism in Escherichia coli exhibits few dominant functional states PNAS, December 27, 2005; 102(52): 19103 - 19108. [Abstract] [Full Text] [PDF]