1
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Clavier T, Pinel C, de Jong H, Geiselmann J. Improving the genetic stability of bacterial growth control for long-term bioproduction. Biotechnol Bioeng 2024; 121:2808-2819. [PMID: 38877869 DOI: 10.1002/bit.28756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 04/23/2024] [Accepted: 05/11/2024] [Indexed: 08/15/2024]
Abstract
Using microorganisms for bioproduction requires the reorientation of metabolic fluxes from biomass synthesis to the production of compounds of interest. We previously engineered a synthetic growth switch in Escherichia coli based on inducible expression of the β- and β'-subunits of RNA polymerase. Depending on the level of induction, the cells stop growing or grow at a rate close to that of the wild-type strain. This strategy has been successful in transforming growth-arrested bacteria into biofactories with a high production yield, releasing cellular resources from growth towards biosynthesis. However, high selection pressure is placed on a growth-arrested population, favoring mutations that allow cells to escape from growth control. Accordingly, we made the design of the growth switch more robust by building in genetic redundancy. More specifically, we added the rpoA gene, encoding for the α-subunit of RNA polymerase, under the control of a copy of the same inducible promoter used for expression control of ββ'. The improved growth switch is much more stable (escape frequency <10-9), while preserving the capacity to improve production yields. Moreover, after a long period of growth inhibition the population can be regenerated within a few generations. This opens up the possibility to alternate biomass accumulation and product synthesis over a longer period of time and is an additional step towards the dynamical control of bioproduction.
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Affiliation(s)
- Thibault Clavier
- Université Grenoble Alpes, CNRS, LIPhy, Grenoble, France
- Université Grenoble Alpes, Inria, Grenoble, France
| | - Corinne Pinel
- Université Grenoble Alpes, CNRS, LIPhy, Grenoble, France
- Université Grenoble Alpes, Inria, Grenoble, France
| | - Hidde de Jong
- Université Grenoble Alpes, CNRS, LIPhy, Grenoble, France
- Université Grenoble Alpes, Inria, Grenoble, France
| | - Johannes Geiselmann
- Université Grenoble Alpes, CNRS, LIPhy, Grenoble, France
- Université Grenoble Alpes, Inria, Grenoble, France
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2
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Ding Q, Liu L. Reprogramming cellular metabolism to increase the efficiency of microbial cell factories. Crit Rev Biotechnol 2024; 44:892-909. [PMID: 37380349 DOI: 10.1080/07388551.2023.2208286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 04/11/2023] [Indexed: 06/30/2023]
Abstract
Recent studies are increasingly focusing on advanced biotechnological tools, self-adjusting smart microorganisms, and artificial intelligent networks, to engineer microorganisms with various functions. Microbial cell factories are a vital platform for improving the bioproduction of medicines, biofuels, and biomaterials from renewable carbon sources. However, these processes are significantly affected by cellular metabolism, and boosting the efficiency of microbial cell factories remains a challenge. In this review, we present a strategy for reprogramming cellular metabolism to enhance the efficiency of microbial cell factories for chemical biosynthesis, which improves our understanding of microbial physiology and metabolic control. Current methods are mainly focused on synthetic pathways, metabolic resources, and cell performance. This review highlights the potential biotechnological strategy to reprogram cellular metabolism and provide novel guidance for designing more intelligent industrial microbes with broader applications in this growing field.
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Affiliation(s)
- Qiang Ding
- School of Life Sciences, Anhui University, Hefei, China
- Key Laboratory of Human Microenvironment and Precision Medicine of Anhui Higher Education Institutes, Anhui University, Hefei, Anhui, China
- Anhui Key Laboratory of Modern Biomanufacturing, Hefei, Anhui, China
| | - Liming Liu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China
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3
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Ropers D, Couté Y, Faure L, Ferré S, Labourdette D, Shabani A, Trouilh L, Vasseur P, Corre G, Ferro M, Teste MA, Geiselmann J, de Jong H. Multiomics Study of Bacterial Growth Arrest in a Synthetic Biology Application. ACS Synth Biol 2021; 10:2910-2926. [PMID: 34739215 DOI: 10.1021/acssynbio.1c00115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
We investigated the scalability of a previously developed growth switch based on external control of RNA polymerase expression. Our results indicate that, in liter-scale bioreactors operating in fed-batch mode, growth-arrested Escherichia coli cells are able to convert glucose to glycerol at an increased yield. A multiomics quantification of the physiology of the cells shows that, apart from acetate production, few metabolic side effects occur. However, a number of specific responses to growth slow-down and growth arrest are launched at the transcriptional level. These notably include the downregulation of genes involved in growth-associated processes, such as amino acid and nucleotide metabolism and translation. Interestingly, the transcriptional responses are buffered at the proteome level, probably due to the strong decrease of the total mRNA concentration after the diminution of transcriptional activity and the absence of growth dilution of proteins. Growth arrest thus reduces the opportunities for dynamically adjusting the proteome composition, which poses constraints on the design of biotechnological production processes but may also avoid the initiation of deleterious stress responses.
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Affiliation(s)
| | - Yohann Couté
- Université Grenoble Alpes, INSERM, CEA, UMR BioSanté U1292, CNRS, CEA, FR2048, 38000 Grenoble, France
| | | | - Sabrina Ferré
- Université Grenoble Alpes, INSERM, CEA, UMR BioSanté U1292, CNRS, CEA, FR2048, 38000 Grenoble, France
| | - Delphine Labourdette
- GeT-Biopuces, TBI, Université de Toulouse, CNRS, INRAE, INSA, 31077 Toulouse, France
| | - Arieta Shabani
- Université Grenoble Alpes, Inria, 38000 Grenoble, France
| | - Lidwine Trouilh
- GeT-Biopuces, TBI, Université de Toulouse, CNRS, INRAE, INSA, 31077 Toulouse, France
| | | | | | - Myriam Ferro
- Université Grenoble Alpes, INSERM, CEA, UMR BioSanté U1292, CNRS, CEA, FR2048, 38000 Grenoble, France
| | - Marie-Ange Teste
- GeT-Biopuces, TBI, Université de Toulouse, CNRS, INRAE, INSA, 31077 Toulouse, France
| | - Johannes Geiselmann
- Université Grenoble Alpes, Inria, 38000 Grenoble, France
- Université Grenoble Alpes, CNRS, LIPhy, 38000 Grenoble, France
| | - Hidde de Jong
- Université Grenoble Alpes, Inria, 38000 Grenoble, France
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4
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Wang Y, Li Q, Tian P, Tan T. Charting the landscape of RNA polymerases to unleash their potential in strain improvement. Biotechnol Adv 2021; 54:107792. [PMID: 34216775 DOI: 10.1016/j.biotechadv.2021.107792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 05/28/2021] [Accepted: 06/26/2021] [Indexed: 11/19/2022]
Abstract
One major mission of microbial cell factory is overproduction of desired chemicals. To this end, it is necessary to orchestrate enzymes that affect metabolic fluxes. However, only modification of a small number of enzymes in most cases cannot maximize desired metabolites, and global regulation is required. Of myriad enzymes influencing global regulation, RNA polymerase (RNAP) may be the most versatile enzyme in biological realm because it not only serves as the workhorse of central dogma but also participates in a plethora of biochemical events. In fact, recent years have witnessed extensive exploitation of RNAPs for phenotypic engineering. While a few impressive reviews showcase the structures and functionalities of RNAPs, this review not only summarizes the state-of-the-art advance in the structures of RNAPs but also points out their enormous potentials in metabolic engineering and synthetic biology. This review aims to provide valuable insights for strain improvement.
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Affiliation(s)
- Ye Wang
- Beijing Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, PR China
| | - Qingyang Li
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, PR China
| | - Pingfang Tian
- Beijing Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, PR China.
| | - Tianwei Tan
- Beijing Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, PR China
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5
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Orthogonal translation enables heterologous ribosome engineering in E. coli. Nat Commun 2021; 12:599. [PMID: 33500394 PMCID: PMC7838251 DOI: 10.1038/s41467-020-20759-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Accepted: 12/16/2020] [Indexed: 01/30/2023] Open
Abstract
The ribosome represents a promising avenue for synthetic biology, but its complexity and essentiality have hindered significant engineering efforts. Heterologous ribosomes, comprising rRNAs and r-proteins derived from different microorganisms, may offer opportunities for novel translational functions. Such heterologous ribosomes have previously been evaluated in E. coli via complementation of a genomic ribosome deficiency, but this method fails to guide the engineering of refractory ribosomes. Here, we implement orthogonal ribosome binding site (RBS):antiRBS pairs, in which engineered ribosomes are directed to researcher-defined transcripts, to inform requirements for heterologous ribosome functionality. We discover that optimized rRNA processing and supplementation with cognate r-proteins enhances heterologous ribosome function for rRNAs derived from organisms with ≥76.1% 16S rRNA identity to E. coli. Additionally, some heterologous ribosomes undergo reduced subunit exchange with E. coli-derived subunits. Cumulatively, this work provides a general framework for heterologous ribosome engineering in living cells.
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6
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Abstract
Exposure of bacteria to sublethal concentrations of antibiotics can lead to bacterial adaptation and survival at higher doses of inhibitors, which in turn can lead to the emergence of antibiotic resistance. The presence of sublethal concentrations of antibiotics targeting translation results in an increase in the amount of ribosomes per cell but nonetheless a decrease in the cells’ growth rate. In this work, we have found that inhibition of ribosome activity can result in a decrease in the amount of free RNA polymerase available for transcription, thus limiting the protein expression rate via a different pathway than what was expected. This result can be explained by our observation that long genes, such as those coding for RNA polymerase subunits, have a higher probability of premature translation termination in the presence of ribosome inhibitors, while expression of short ribosomal genes is affected less, consistent with their increased concentration. In bacterial cells, inhibition of ribosomes by sublethal concentrations of antibiotics leads to a decrease in the growth rate despite an increase in ribosome content. The limitation of ribosomal activity results in an increase in the level of expression from ribosomal promoters; this can deplete the pool of RNA polymerase (RNAP) that is available for the expression of nonribosomal genes. However, the magnitude of this effect remains to be quantified. Here, we use the change in the activity of constitutive promoters with different affinities for RNAP to quantify the change in the concentration of free RNAP. The data are consistent with a significant decrease in the amount of RNAP available for transcription of both ribosomal and nonribosomal genes. Results obtained with different reporter genes reveal an mRNA length dependence on the amount of full-length translated protein, consistent with the decrease in ribosome processivity affecting more strongly the translation of longer genes. The genes coding for the β and β' subunits of RNAP are among the longest genes in the Escherichia coli genome, while the genes coding for ribosomal proteins are among the shortest genes. This can explain the observed decrease in transcription capacity that favors the expression of genes whose promoters have a high affinity for RNAP, such as ribosomal promoters. IMPORTANCE Exposure of bacteria to sublethal concentrations of antibiotics can lead to bacterial adaptation and survival at higher doses of inhibitors, which in turn can lead to the emergence of antibiotic resistance. The presence of sublethal concentrations of antibiotics targeting translation results in an increase in the amount of ribosomes per cell but nonetheless a decrease in the cells’ growth rate. In this work, we have found that inhibition of ribosome activity can result in a decrease in the amount of free RNA polymerase available for transcription, thus limiting the protein expression rate via a different pathway than what was expected. This result can be explained by our observation that long genes, such as those coding for RNA polymerase subunits, have a higher probability of premature translation termination in the presence of ribosome inhibitors, while expression of short ribosomal genes is affected less, consistent with their increased concentration.
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7
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Zhao P, Ren M, Ge X, Tian P, Tan T. Development of orthogonal T7 expression system in
Klebsiella pneumoniae. Biotechnol Bioeng 2020; 117:2446-2459. [DOI: 10.1002/bit.27434] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 05/10/2020] [Accepted: 05/17/2020] [Indexed: 11/11/2022]
Affiliation(s)
- Peng Zhao
- Beijing Key Laboratory of Bioprocess, College of Life Science and TechnologyBeijing University of Chemical Technology Beijing China
| | - Minrui Ren
- Beijing Key Laboratory of Bioprocess, College of Life Science and TechnologyBeijing University of Chemical Technology Beijing China
| | - Xizhen Ge
- College of Biochemical EngineeringBeijing Union University Beijing China
| | - Pingfang Tian
- Beijing Key Laboratory of Bioprocess, College of Life Science and TechnologyBeijing University of Chemical Technology Beijing China
| | - Tianwei Tan
- Beijing Key Laboratory of Bioprocess, College of Life Science and TechnologyBeijing University of Chemical Technology Beijing China
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8
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Choudhury A, Fenster JA, Fankhauser RG, Kaar JL, Tenaillon O, Gill RT. CRISPR/Cas9 recombineering-mediated deep mutational scanning of essential genes in Escherichia coli. Mol Syst Biol 2020; 16:e9265. [PMID: 32175691 PMCID: PMC7073797 DOI: 10.15252/msb.20199265] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 02/12/2020] [Accepted: 02/13/2020] [Indexed: 01/14/2023] Open
Abstract
Deep mutational scanning can provide significant insights into the function of essential genes in bacteria. Here, we developed a high-throughput method for mutating essential genes of Escherichia coli in their native genetic context. We used Cas9-mediated recombineering to introduce a library of mutations, created by error-prone PCR, within a gene fragment on the genome using a single gRNA pre-validated for high efficiency. Tracking mutation frequency through deep sequencing revealed biases in the position and the number of the introduced mutations. We overcame these biases by increasing the homology arm length and blocking mismatch repair to achieve a mutation efficiency of 85% for non-essential genes and 55% for essential genes. These experiments also improved our understanding of poorly characterized recombineering process using dsDNA donors with single nucleotide changes. Finally, we applied our technology to target rpoB, the beta subunit of RNA polymerase, to study resistance against rifampicin. In a single experiment, we validate multiple biochemical and clinical observations made in the previous decades and provide insights into resistance compensation with the study of double mutants.
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Affiliation(s)
- Alaksh Choudhury
- Department of Chemical and Biological EngineeringUniversity of ColoradoBoulderCOUSA
- IAMEINSERMUniversité de ParisParisFrance
| | - Jacob A Fenster
- Department of Chemical and Biological EngineeringUniversity of ColoradoBoulderCOUSA
| | | | - Joel L Kaar
- Department of Chemical and Biological EngineeringUniversity of ColoradoBoulderCOUSA
| | | | - Ryan T Gill
- Department of Chemical and Biological EngineeringUniversity of ColoradoBoulderCOUSA
- Renewable & Sustainable Energy InstituteUniversity of ColoradoBoulderCOUSA
- Novo Nordisk Foundation Center for BiosustainabilityDanish Technical UniversityCopenhagenDenmark
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9
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Abstract
The number of ribosomes in a cell is considered as limiting, and gene expression is thus largely determined by their cellular concentration. In this work we develop a toy model to study the trade-off between the ribosomal supply and the demand of the translation machinery, dictated by the composition of the transcript pool. Our equilibrium framework is useful to highlight qualitative behaviours and new means of gene expression regulation determined by the fine balance of this trade-off. We also speculate on the possible impact of these mechanisms on cellular physiology.
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Affiliation(s)
- Pascal S Rogalla
- Institute for Biological and Medical Engineering, Schools of Engineering, Biology and Medicine, Universidad Catolica de Chile, Chile. Department of Chemical and Bioprocess Engineering, School of Engineering, Universidad Catolica de Chile, Chile. I. Physikalisches Institut (IA), RWTH Aachen University, 52074 Aachen, Germany
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10
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Pérez AA, Chen Q, Hernández HP, Branco dos Santos F, Hellingwerf KJ. On the use of oxygenic photosynthesis for the sustainable production of commodity chemicals. PHYSIOLOGIA PLANTARUM 2019; 166:413-427. [PMID: 30829400 PMCID: PMC6850307 DOI: 10.1111/ppl.12946] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Revised: 02/15/2019] [Accepted: 02/18/2019] [Indexed: 05/13/2023]
Abstract
A sustainable society will have to largely refrain from the use of fossil carbon deposits. In such a regime, renewable electricity can be harvested as a primary source of energy. However, as for the synthesis of carbon-based materials from bulk chemicals, an alternative is required. A sustainable approach towards this is the synthesis of commodity chemicals from CO2 , water and sunlight. Multiple paths to achieve this have been designed and tested in the domains of chemistry and biology. In the latter, the use of both chemotrophic and phototrophic organisms has been advocated. 'Direct conversion' of CO2 and H2 O, catalyzed by an oxyphototroph, has excellent prospects to become the most economically competitive of these transformations, because of the relative ease of scale-up of this process. Significantly, for a wide range of energy and commodity products, a proof of principle via engineering of the corresponding production organism has been provided. In the optimization of a cyanobacterial production organism, a wide range of aspects has to be addressed. Of these, here we will put our focus on: (1) optimizing the (carbon) flux to the desired product; (2) increasing the genetic stability of the producing organism and (3) maximizing its energy conversion efficiency. Significant advances have been made on all these three aspects during the past 2 years and these will be discussed: (1) increasing the carbon partitioning to >50%; (2) aligning product formation with the growth of the cells and (3) expanding the photosynthetically active radiation region for oxygenic photosynthesis.
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Affiliation(s)
- Adam A. Pérez
- Molecular Microbial Physiology GroupSwammerdam Institute for Life Sciences, University of Amsterdam1098 XH AmsterdamThe Netherlands
- Photanol BVMatrix VAmsterdam, 1098 XHThe Netherlands
| | - Que Chen
- Molecular Microbial Physiology GroupSwammerdam Institute for Life Sciences, University of Amsterdam1098 XH AmsterdamThe Netherlands
| | - Hugo Pineda Hernández
- Molecular Microbial Physiology GroupSwammerdam Institute for Life Sciences, University of Amsterdam1098 XH AmsterdamThe Netherlands
| | - Filipe Branco dos Santos
- Molecular Microbial Physiology GroupSwammerdam Institute for Life Sciences, University of Amsterdam1098 XH AmsterdamThe Netherlands
| | - Klaas J. Hellingwerf
- Molecular Microbial Physiology GroupSwammerdam Institute for Life Sciences, University of Amsterdam1098 XH AmsterdamThe Netherlands
- Photanol BVMatrix VAmsterdam, 1098 XHThe Netherlands
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11
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Exploiting tandem repetitive promoters for high-level production of 3-hydroxypropionic acid. Appl Microbiol Biotechnol 2019; 103:4017-4031. [DOI: 10.1007/s00253-019-09772-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 03/07/2019] [Accepted: 03/12/2019] [Indexed: 10/27/2022]
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12
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Brown AJ, Gibson SJ, Hatton D, Arnall CL, James DC. Whole synthetic pathway engineering of recombinant protein production. Biotechnol Bioeng 2018; 116:375-387. [DOI: 10.1002/bit.26855] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 09/14/2018] [Accepted: 10/18/2018] [Indexed: 12/13/2022]
Affiliation(s)
- Adam J. Brown
- Department of Chemical and Biological EngineeringUniversity of SheffieldSheffield UK
| | | | - Diane Hatton
- Biopharmaceutical Development, MedImmuneCambridge UK
| | - Claire L. Arnall
- Department of Chemical and Biological EngineeringUniversity of SheffieldSheffield UK
| | - David C. James
- Department of Chemical and Biological EngineeringUniversity of SheffieldSheffield UK
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13
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Optimal control of bacterial growth for the maximization of metabolite production. J Math Biol 2018; 78:985-1032. [PMID: 30334073 DOI: 10.1007/s00285-018-1299-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Revised: 09/18/2018] [Indexed: 12/24/2022]
Abstract
Microorganisms have evolved complex strategies for controlling the distribution of available resources over cellular functions. Biotechnology aims at interfering with these strategies, so as to optimize the production of metabolites and other compounds of interest, by (re)engineering the underlying regulatory networks of the cell. The resulting reallocation of resources can be described by simple so-called self-replicator models and the maximization of the synthesis of a product of interest formulated as a dynamic optimal control problem. Motivated by recent experimental work, we are specifically interested in the maximization of metabolite production in cases where growth can be switched off through an external control signal. We study various optimal control problems for the corresponding self-replicator models by means of a combination of analytical and computational techniques. We show that the optimal solutions for biomass maximization and product maximization are very similar in the case of unlimited nutrient supply, but diverge when nutrients are limited. Moreover, external growth control overrides natural feedback growth control and leads to an optimal scheme consisting of a first phase of growth maximization followed by a second phase of product maximization. This two-phase scheme agrees with strategies that have been proposed in metabolic engineering. More generally, our work shows the potential of optimal control theory for better understanding and improving biotechnological production processes.
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14
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Nyström A, Papachristodoulou A, Angel A. A Dynamic Model of Resource Allocation in Response to the Presence of a Synthetic Construct. ACS Synth Biol 2018; 7:1201-1210. [PMID: 29745649 DOI: 10.1021/acssynbio.8b00015] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Introducing synthetic constructs into bacteria often carries a burden that leads to reduced fitness and selective pressure for organisms to mutate their constructs and hence to a reduced functional lifetime. Understanding burden requires suitable methods for accurate measurement and quantification. We develop a dynamic growth model from physiologically relevant first-principles that allows parameters relevant to burden to be extracted from standard growth curves. We test several possibilities for the response of a bacterium to a new environment in terms of resource allocation. We find that burden manifests in the time taken to respond to new conditions as well as the rate of growth in exponential phase. Furthermore, we see that the presence of a synthetic construct hastens the reduction of ribosomes when approaching stationary phase, altering memory effects from previous periods of growth.
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Affiliation(s)
- Axel Nyström
- Department of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, U.K
- Department of Engineering Science, University of Oxford, Parks Road, Oxford, OX1 3PJ, U.K
| | | | - Andrew Angel
- Department of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, U.K
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15
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Du W, Burbano PC, Hellingwerf KJ, Branco Dos Santos F. Challenges in the Application of Synthetic Biology Toward Synthesis of Commodity Products by Cyanobacteria via "Direct Conversion". ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2018; 1080:3-26. [PMID: 30091089 DOI: 10.1007/978-981-13-0854-3_1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Cyanobacterial direct conversion of CO2 to several commodity chemicals has been recognized as a potential contributor to support the much-needed sustainable development of human societies. However, the feasibility of this "green conversion" hinders on our ability to overcome the hurdles presented by the natural evolvability of microbes. The latter may result in the genetic instability of engineered cyanobacterial strains leading to impaired productivity. This challenge is general to any "cell factory" approach in which the cells grow for multiple generations, and based on several studies carried out in different microbial hosts, we could identify that three distinct strategies have been proposed to tackle it. These are (1) to reduce microbial evolvability by decreasing the native mutation rate, (2) to align product formation with cell growth/fitness, and, paradoxically, (3) to efficiently reallocate cellular resources to product formation by uncoupling it from growth. The implementation of either of these strategies requires an advanced synthetic biology toolkit. Here, we review the existing methods available for cyanobacteria and identify areas of focus in which specific developments are still needed. Furthermore, we discuss how potentially stabilizing strategies may be used in combination leading to further increases of productivity while ensuring the stability of the cyanobacterial-based direct conversion process.
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Affiliation(s)
- Wei Du
- Molecular Microbial Physiology Group, Swammerdam Institute for Life Sciences, Faculty of Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - Patricia Caicedo Burbano
- Molecular Microbial Physiology Group, Swammerdam Institute for Life Sciences, Faculty of Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - Klaas J Hellingwerf
- Molecular Microbial Physiology Group, Swammerdam Institute for Life Sciences, Faculty of Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - Filipe Branco Dos Santos
- Molecular Microbial Physiology Group, Swammerdam Institute for Life Sciences, Faculty of Sciences, University of Amsterdam, Amsterdam, The Netherlands.
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16
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de Jong H, Casagranda S, Giordano N, Cinquemani E, Ropers D, Geiselmann J, Gouzé JL. Mathematical modelling of microbes: metabolism, gene expression and growth. J R Soc Interface 2017; 14:20170502. [PMID: 29187637 PMCID: PMC5721159 DOI: 10.1098/rsif.2017.0502] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Accepted: 10/31/2017] [Indexed: 11/12/2022] Open
Abstract
The growth of microorganisms involves the conversion of nutrients in the environment into biomass, mostly proteins and other macromolecules. This conversion is accomplished by networks of biochemical reactions cutting across cellular functions, such as metabolism, gene expression, transport and signalling. Mathematical modelling is a powerful tool for gaining an understanding of the functioning of this large and complex system and the role played by individual constituents and mechanisms. This requires models of microbial growth that provide an integrated view of the reaction networks and bridge the scale from individual reactions to the growth of a population. In this review, we derive a general framework for the kinetic modelling of microbial growth from basic hypotheses about the underlying reaction systems. Moreover, we show that several families of approximate models presented in the literature, notably flux balance models and coarse-grained whole-cell models, can be derived with the help of additional simplifying hypotheses. This perspective clearly brings out how apparently quite different modelling approaches are related on a deeper level, and suggests directions for further research.
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Affiliation(s)
| | - Stefano Casagranda
- University Côte d'Azur, Inria, INRA, CNRS, UPMC University Paris 06, BIOCORE team, Sophia-Antipolis, France
| | - Nils Giordano
- University Grenoble-Alpes, Inria, Grenoble, France
- University Grenoble-Alpes, CNRS, LIPhy, Grenoble, France
| | | | | | - Johannes Geiselmann
- University Grenoble-Alpes, Inria, Grenoble, France
- University Grenoble-Alpes, CNRS, LIPhy, Grenoble, France
| | - Jean-Luc Gouzé
- University Côte d'Azur, Inria, INRA, CNRS, UPMC University Paris 06, BIOCORE team, Sophia-Antipolis, France
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