Literature DB >> 24033913

Comparative genomics and transcriptomics analysis of experimentally evolved Escherichia coli MC1000 in complex environments.

Pilar Eliana Puentes-Téllez1, Ákos T Kovács, Oscar P Kuipers, Jan Dirk van Elsas.   

Abstract

It has recently become feasible to study the basis and nature of evolutionary changes in bacteria in an experimental setting using defined media. However, assessment of adaptive changes in complex environments has been scarce. In an effort to describe the responses in such environments, we unravel, in a comparative approach, the transcriptional and genetic profiles of 19 Escherichia coli strains that evolved in Luria Bertani medium under three different oxygen regimes over 1000 generations. A positive relationship between upregulation of gene expression and the number of mutations was observed, suggesting that a number of metabolic pathways were activated. Phenotypic polymorphisms were observed in parallel cultures, of which some were related with mutations at the regulatory level. Non-parallel responses were observed at the intrapopulational level, which is indicative of diversifying selection. Parallel responses encompassed transcriptome diversity, and their effects were directly affected by differing genomic backgrounds. A fluctuating selective force produced higher phenotypic diversity compared with constant forces. This study demonstrates how phenotypic innovations may depend on the relationship between genomic changes and local ecological conditions. Using both comparative genomics and transcriptomics approaches, the results help elucidating various adaptive responses in cultures in unexplored complex environments.
© 2013 John Wiley & Sons Ltd and Society for Applied Microbiology.

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Year:  2013        PMID: 24033913     DOI: 10.1111/1462-2920.12239

Source DB:  PubMed          Journal:  Environ Microbiol        ISSN: 1462-2912            Impact factor:   5.491


  4 in total

Review 1.  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

Review 2.  Metabolism at evolutionary optimal States.

Authors:  Iraes Rabbers; Johan H van Heerden; Niclas Nordholt; Herwig Bachmann; Bas Teusink; Frank J Bruggeman
Journal:  Metabolites       Date:  2015-06-02

3.  Mutations in global regulators lead to metabolic selection during adaptation to complex environments.

Authors:  Gerda Saxer; Michael D Krepps; Eric D Merkley; Charles Ansong; Brooke L Deatherage Kaiser; Marie-Thérèse Valovska; Nikola Ristic; Ping T Yeh; Vittal P Prakash; Owen P Leiser; Luay Nakhleh; Henry S Gibbons; Helen W Kreuzer; Yousif Shamoo
Journal:  PLoS Genet       Date:  2014-12-11       Impact factor: 5.917

4.  Bacterial transcriptome reorganization in thermal adaptive evolution.

Authors:  Bei-Wen Ying; Yuki Matsumoto; Kazuki Kitahara; Shingo Suzuki; Naoaki Ono; Chikara Furusawa; Toshihiko Kishimoto; Tetsuya Yomo
Journal:  BMC Genomics       Date:  2015-10-16       Impact factor: 3.969

  4 in total

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