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      Engineering microbial consortia by division of labor

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          Abstract

          During microbial applications, metabolic burdens can lead to a significant drop in cell performance. Novel synthetic biology tools or multi-step bioprocessing (e.g., fermentation followed by chemical conversions) are therefore needed to avoid compromised biochemical productivity from over-burdened cells. A possible solution to address metabolic burden is Division of Labor (DoL) via natural and synthetic microbial consortia. In particular, consolidated bioprocesses and metabolic cooperation for detoxification or cross feeding (e.g., vitamin C fermentation) have shown numerous successes in industrial level applications. However, distributing a metabolic pathway among proper hosts remains an engineering conundrum due to several challenges: complex subpopulation dynamics/interactions with a short time-window for stable production, suboptimal cultivation of microbial communities, proliferation of cheaters or low-producers, intermediate metabolite dilution, transport barriers between species, and breaks in metabolite channeling through biosynthesis pathways. To develop stable consortia, optimization of strain inoculations, nutritional divergence and crossing feeding, evolution of mutualistic growth, cell immobilization, and biosensors may potentially be used to control cell populations. Another opportunity is direct integration of non-bioprocesses (e.g., microbial electrosynthesis) to power cell metabolism and improve carbon efficiency. Additionally, metabolic modeling and 13C-metabolic flux analysis of mixed culture metabolism and cross-feeding offers a computational approach to complement experimental research for improved consortia performance.

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          Generation of genome-scale metabolic reconstructions for 773 members of the human gut microbiota

          A large set of microbial metabolic models (AGORA) could be applied to better understand the functions of the human gut microbiome.
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            Microbial life under extreme energy limitation.

            A great number of the bacteria and archaea on Earth are found in subsurface environments in a physiological state that is poorly represented or explained by laboratory cultures. Microbial cells in these very stable and oligotrophic settings catabolize 10⁴- to 10⁶-fold more slowly than model organisms in nutrient-rich cultures, turn over biomass on timescales of centuries to millennia rather than hours to days, and subsist with energy fluxes that are 1,000-fold lower than the typical culture-based estimates of maintenance requirements. To reconcile this disparate state of being with our knowledge of microbial physiology will require a revised understanding of microbial energy requirements, including identifying the factors that comprise true basal maintenance and the adaptations that might serve to minimize these factors.
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              Self-photosensitization of nonphotosynthetic bacteria for solar-to-chemical production.

              Improving natural photosynthesis can enable the sustainable production of chemicals. However, neither purely artificial nor purely biological approaches seem poised to realize the potential of solar-to-chemical synthesis. We developed a hybrid approach, whereby we combined the highly efficient light harvesting of inorganic semiconductors with the high specificity, low cost, and self-replication and -repair of biocatalysts. We induced the self-photosensitization of a nonphotosynthetic bacterium, Moorella thermoacetica, with cadmium sulfide nanoparticles, enabling the photosynthesis of acetic acid from carbon dioxide. Biologically precipitated cadmium sulfide nanoparticles served as the light harvester to sustain cellular metabolism. This self-augmented biological system selectively produced acetic acid continuously over several days of light-dark cycles at relatively high quantum yields, demonstrating a self-replicating route toward solar-to-chemical carbon dioxide reduction.
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                Author and article information

                Contributors
                garrettroell@wustl.edu
                zhaj@rpi.edu
                rrcarr@wustl.edu
                koffam@rpi.edu
                ssfong@vcu.edu
                yinjie.tang@seas.wustl.edu
                Journal
                Microb Cell Fact
                Microb. Cell Fact
                Microbial Cell Factories
                BioMed Central (London )
                1475-2859
                8 February 2019
                8 February 2019
                2019
                : 18
                : 35
                Affiliations
                [1 ]ISNI 0000 0001 2355 7002, GRID grid.4367.6, Department of Energy, Environmental and Chemical Engineering, , Washington University, ; Saint Louis, MO 63130 USA
                [2 ]ISNI 0000 0001 2160 9198, GRID grid.33647.35, Department of Chemical and Biological Engineering, , Rensselaer Polytechnic Institute, ; 110 Eighth Street, Troy, NY 12180 USA
                [3 ]ISNI 0000 0004 0458 8737, GRID grid.224260.0, Department of Chemical and Life Science Engineering, , Virginia Commonwealth University, ; Richmond, VA 23284 USA
                Author information
                http://orcid.org/0000-0002-5112-0649
                Article
                1083
                10.1186/s12934-019-1083-3
                6368712
                30736778
                39c1a6a7-14d1-48bf-8c81-f0737fe2998b
                © The Author(s) 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 31 May 2018
                : 31 January 2019
                Funding
                Funded by: Division of Molecular and Cellular Biosciences (US)
                Award ID: MCB 1616619
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100006206, Biological and Environmental Research;
                Award ID: DESC0018324
                Award Recipient :
                Categories
                Review
                Custom metadata
                © The Author(s) 2019

                Biotechnology
                13c-metabolic flux analysis,cross-feeding,metabolite channeling,reporter protein,subpopulations

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