Literature DB >> 19545267

Asymmetric, bimodal trade-offs during adaptation of Methylobacterium to distinct growth substrates.

Ming-Chun Lee1, Hsin-Hung Chou, Christopher J Marx.   

Abstract

Trade-offs between selected and nonselected environments are often assumed to exist during adaptation. This phenomenon is prevalent in microbial metabolism, where many organisms have come to specialize on a narrow breadth of substrates. One well-studied example is methylotrophic bacteria that can use single-carbon (C(1)) compounds as their sole source of carbon and energy, but generally use few, if any, multi-C compounds. Here, we use adaptation of experimental populations of the model methylotroph, Methylobacterium extorquens AM1, to C(1) (methanol) or multi-C (succinate) compounds to investigate specialization and trade-offs between these two metabolic lifestyles. We found a general trend toward trade-offs during adaptation to succinate, but this was neither universal nor showed a quantitative relationship with the extent of adaptation. After 1500 generations, succinate-evolved strains had a remarkably bimodal distribution of fitness values on methanol: either an improvement comparable to the strains adapted on methanol or the complete loss of the ability to grow on C(1) compounds. In contrast, adaptation to methanol resulted in no such trade-offs. Based on the substantial, asymmetric loss of C(1) growth during growth on succinate, we suggest that the long-term maintenance of C(1) metabolism across the genus Methylobacterium requires relatively frequent use of C(1) compounds to prevent rapid loss.

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Year:  2009        PMID: 19545267     DOI: 10.1111/j.1558-5646.2009.00757.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  44 in total

1.  Measuring selection coefficients below 10(-3): method, questions, and prospects.

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2.  Phylogeny poorly predicts the utility of a challenging horizontally transferred gene in Methylobacterium strains.

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3.  Sulfur isotope fractionation during the evolutionary adaptation of a sulfate-reducing bacterium.

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Journal:  Appl Environ Microbiol       Date:  2015-02-06       Impact factor: 4.792

Review 4.  Methylotrophy in a lake: from metagenomics to single-organism physiology.

Authors:  Ludmila Chistoserdova
Journal:  Appl Environ Microbiol       Date:  2011-05-27       Impact factor: 4.792

5.  Erosion of functional independence early in the evolution of a microbial mutualism.

Authors:  Kristina L Hillesland; Sujung Lim; Jason J Flowers; Serdar Turkarslan; Nicolas Pinel; Grant M Zane; Nicholas Elliott; Yujia Qin; Liyou Wu; Nitin S Baliga; Jizhong Zhou; Judy D Wall; David A Stahl
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-29       Impact factor: 11.205

6.  Synchronous waves of failed soft sweeps in the laboratory: remarkably rampant clonal interference of alleles at a single locus.

Authors:  Ming-Chun Lee; Christopher J Marx
Journal:  Genetics       Date:  2013-01-10       Impact factor: 4.562

7.  Clarity: an open-source manager for laboratory automation.

Authors:  Nigel F Delaney; José I Rojas Echenique; Christopher J Marx
Journal:  J Lab Autom       Date:  2012-10-02

8.  Signatures of arithmetic simplicity in metabolic network architecture.

Authors:  William J Riehl; Paul L Krapivsky; Sidney Redner; Daniel Segrè
Journal:  PLoS Comput Biol       Date:  2010-04-01       Impact factor: 4.475

9.  Methanol assimilation in Methylobacterium extorquens AM1: demonstration of all enzymes and their regulation.

Authors:  Hana Smejkalová; Tobias J Erb; Georg Fuchs
Journal:  PLoS One       Date:  2010-10-01       Impact factor: 3.240

10.  Fast growth increases the selective advantage of a mutation arising recurrently during evolution under metal limitation.

Authors:  Hsin-Hung Chou; Julia Berthet; Christopher J Marx
Journal:  PLoS Genet       Date:  2009-09-18       Impact factor: 5.917

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