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      Transhydrogenase Promotes the Robustness and Evolvability of E. coli Deficient in NADPH Production

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      1 , 2 , * , 3 , 1
      PLoS Genetics
      Public Library of Science

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          Abstract

          Metabolic networks revolve around few metabolites recognized by diverse enzymes and involved in myriad reactions. Though hub metabolites are considered as stepping stones to facilitate the evolutionary expansion of biochemical pathways, changes in their production or consumption often impair cellular physiology through their system-wide connections. How does metabolism endure perturbations brought immediately by pathway modification and restore hub homeostasis in the long run? To address this question we studied laboratory evolution of pathway-engineered Escherichia coli that underproduces the redox cofactor NADPH on glucose. Literature suggests multiple possibilities to restore NADPH homeostasis. Surprisingly, genetic dissection of isolates from our twelve evolved populations revealed merely two solutions: (1) modulating the expression of membrane-bound transhydrogenase (mTH) in every population; (2) simultaneously consuming glucose with acetate, an unfavored byproduct normally excreted during glucose catabolism, in two subpopulations. Notably, mTH displays broad phylogenetic distribution and has also played a predominant role in laboratory evolution of Methylobacterium extorquens deficient in NADPH production. Convergent evolution of two phylogenetically and metabolically distinct species suggests mTH as a conserved buffering mechanism that promotes the robustness and evolvability of metabolism. Moreover, adaptive diversification via evolving dual substrate consumption highlights the flexibility of physiological systems to exploit ecological opportunities.

          Author Summary

          The structure of biological networks, like traffic systems or the Internet, features few hubs connected by numerous components. Though the conservation and high connectivity of hubs serve as key junctions to promote network expansion, addition or removal of connections surrounding hubs may disturb the whole system through their global linkage. How do biological networks mitigate hub perturbations during evolution? Using metabolism as an example, we studied the physiological and evolutionary consequences of genetically perturbed production of a hub metabolite NADPH in E. coli. We found that the expression of mTH, a phylogenetically conserved enzyme, was immediately upregulated and essential to counteract the hub perturbation. Moreover, long-term evolution of this pathway-modified E. coli in glucose growth media recurrently selected for mTH-upregulating mutations to restore the NADPH balance in all twelve replicate populations, regardless of several alternative solutions suggested in the literature. Corroborated by similar findings from laboratory evolution of a highly diverged species M. extorquens, our study suggests that mechanisms dedicated to mitigating hub perturbations promote both the robustness and evolvability of biological networks.

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          Gene splicing and mutagenesis by PCR-driven overlap extension.

          Extension of overlapping gene segments by PCR is a simple, versatile technique for site-directed mutagenesis and gene splicing. Initial PCRs generate overlapping gene segments that are then used as template DNA for another PCR to create a full-length product. Internal primers generate overlapping, complementary 3' ends on the intermediate segments and introduce nucleotide substitutions, insertions or deletions for site-directed mutagenesis, or for gene splicing, encode the nucleotides found at the junction of adjoining gene segments. Overlapping strands of these intermediate products hybridize at this 3' region in a subsequent PCR and are extended to generate the full-length product amplified by flanking primers that can include restriction enzyme sites for inserting the product into an expression vector for cloning purposes. The highly efficient generation of mutant or chimeric genes by this method can easily be accomplished with standard laboratory reagents in approximately 1 week.
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            The large-scale organization of metabolic networks

            In a cell or microorganism the processes that generate mass, energy, information transfer, and cell fate specification are seamlessly integrated through a complex network of various cellular constituents and reactions. However, despite the key role these networks play in sustaining various cellular functions, their large-scale structure is essentially unknown. Here we present the first systematic comparative mathematical analysis of the metabolic networks of 43 organisms representing all three domains of life. We show that, despite significant variances in their individual constituents and pathways, these metabolic networks display the same topologic scaling properties demonstrating striking similarities to the inherent organization of complex non-biological systems. This suggests that the metabolic organization is not only identical for all living organisms, but complies with the design principles of robust and error-tolerant scale-free networks, and may represent a common blueprint for the large-scale organization of interactions among all cellular constituents.
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              The genetic theory of adaptation: a brief history.

              Theoretical studies of adaptation have exploded over the past decade. This work has been inspired by recent, surprising findings in the experimental study of adaptation. For example, morphological evolution sometimes involves a modest number of genetic changes, with some individual changes having a large effect on the phenotype or fitness. Here I survey the history of adaptation theory, focusing on the rise and fall of various views over the past century and the reasons for the slow development of a mature theory of adaptation. I also discuss the challenges that face contemporary theories of adaptation.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                25 February 2015
                February 2015
                : 11
                : 2
                : e1005007
                Affiliations
                [1 ]Institute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland
                [2 ]Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom
                [3 ]Department of Biological Sciences, University of Idaho, Moscow, Idaho, United States of America
                University of Houston, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: HHC CJM US. Performed the experiments: HHC. Analyzed the data: HHC US. Contributed reagents/materials/analysis tools: HHC CJM US. Wrote the paper: HHC CJM US.

                Article
                PGENETICS-D-14-02467
                10.1371/journal.pgen.1005007
                4340650
                25715029
                2caa772c-51f0-45d3-9095-cbf8de702736
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 12 September 2014
                : 14 January 2015
                Page count
                Figures: 9, Tables: 3, Pages: 26
                Funding
                HHC acknowledges support by an EMBO Long-Term Fellowship (ALTF 132-2010, http://www.embo.org/), a Marie Curie Fellowship (FP7-PEOPLE-2011-IIF, http://ec.europa.eu/research/mariecurieactions/), and an award to CJM by the National Institutes of Health (GM078209, http://www.nih.gov/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Custom metadata
                Genome resequencing data are available from the European Nucleotide Archive (accession no. PRJEB5802, http://www.ebi.ac.uk/ena/). The rest of the relevant data are fully described within the paper and its Supporting Information files.

                Genetics
                Genetics

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