40
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Dynamic control in metabolic engineering: Theories, tools, and applications

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Metabolic engineering has allowed the production of a diverse number of valuable chemicals using microbial organisms. Many biological challenges for improving bio-production exist which limit performance and slow the commercialization of metabolically engineered systems. Dynamic metabolic engineering is a rapidly developing field that seeks to address these challenges through the design of genetically encoded metabolic control systems which allow cells to autonomously adjust their flux in response to their external and internal metabolic state. This review first discusses theoretical works which provide mechanistic insights and design choices for dynamic control systems including two-stage, continuous, and population behavior control strategies. Next, we summarize molecular mechanisms for various sensors and actuators which enable dynamic metabolic control in microbial systems. Finally, important applications of dynamic control to the production of several metabolite products are highlighted, including fatty acids, aromatics, and terpene compounds. Altogether, this review provides a comprehensive overview of the progress, advances, and prospects in the design of dynamic control systems for improved titer, rate, and yield metrics in metabolic engineering.

          Related collections

          Most cited references148

          • Record: found
          • Abstract: found
          • Article: not found

          Nature, nurture, or chance: stochastic gene expression and its consequences.

          Gene expression is a fundamentally stochastic process, with randomness in transcription and translation leading to cell-to-cell variations in mRNA and protein levels. This variation appears in organisms ranging from microbes to metazoans, and its characteristics depend both on the biophysical parameters governing gene expression and on gene network structure. Stochastic gene expression has important consequences for cellular function, being beneficial in some contexts and harmful in others. These situations include the stress response, metabolism, development, the cell cycle, circadian rhythms, and aging.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Bistability, epigenetics, and bet-hedging in bacteria.

            Clonal populations of microbial cells often show a high degree of phenotypic variability under homogeneous conditions. Stochastic fluctuations in the cellular components that determine cellular states can cause two distinct subpopulations, a property called bistability. Phenotypic heterogeneity can be readily obtained by interlinking multiple gene regulatory pathways, effectively resulting in a genetic logic-AND gate. Although switching between states can occur within the cells' lifetime, cells can also pass their cellular state over to the next generation by a mechanism known as epigenetic inheritance and thus perpetuate the phenotypic state. Importantly, heterogeneous populations can demonstrate increased fitness compared with homogeneous populations. This suggests that microbial cells employ bet-hedging strategies to maximize survival. Here, we discuss the possible roles of interlinked bistable networks, epigenetic inheritance, and bet-hedging in bacteria.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A functional perspective on phenotypic heterogeneity in microorganisms.

              Most microbial communities consist of a genetically diverse assembly of different organisms, and the level of genetic diversity plays an important part in community properties and functions. However, biological diversity also arises at a lower level of biological organization, between genetically identical cells that reside in the same microenvironment. In this Review, I outline the molecular mechanisms responsible for phenotypic heterogeneity and discuss how phenotypic heterogeneity allows genotypes to persist in fluctuating environments. I also describe how it promotes interactions between phenotypic subpopulations in clonal groups, providing microbial groups with new functionality.
                Bookmark

                Author and article information

                Journal
                9815657
                21792
                Metab Eng
                Metab Eng
                Metabolic engineering
                1096-7176
                1096-7184
                20 March 2021
                11 September 2020
                January 2021
                01 April 2021
                : 63
                : 126-140
                Affiliations
                [a ]Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, Saint Louis, MO, 63130, USA
                [b ]Division of Biological & Biomedical Sciences, Washington University in St. Louis, Saint Louis, MO, 63130, USA
                [c ]Institute of Materials Science & Engineering, Washington University in St. Louis, Saint Louis, MO, 63130, USA
                Author notes
                [1]

                These authors contributed equally.

                Author statement

                All authors contributed to conceptualization, writing, reviewing, and editing.

                [* ]Corresponding author. Washington University in St. Louis, 1 Brookings Drive, Saint Louis, Missouri, 63130, USA. fzhang@ 123456seas.wustl.edu (F. Zhang).
                Article
                NIHMS1685084
                10.1016/j.ymben.2020.08.015
                8015268
                32927059
                025f31e4-8bf1-41cf-99fb-871d054997c0

                This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                Categories
                Article

                dynamic metabolic control,dynamic metabolic engineering,synthetic biology,biosensors,genetic circuits

                Comments

                Comment on this article