1
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Pathom-Aree W, Sattayawat P, Inwongwan S, Cheirsilp B, Liewtrakula N, Maneechote W, Rangseekaew P, Ahmad F, Mehmood MA, Gao F, Srinuanpan S. Microalgae growth-promoting bacteria for cultivation strategies: Recent updates and progress. Microbiol Res 2024; 286:127813. [PMID: 38917638 DOI: 10.1016/j.micres.2024.127813] [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: 04/10/2024] [Revised: 06/02/2024] [Accepted: 06/17/2024] [Indexed: 06/27/2024]
Abstract
Microalgae growth-promoting bacteria (MGPB), both actinobacteria and non-actinobacteria, have received considerable attention recently because of their potential to develop microalgae-bacteria co-culture strategies for improved efficiency and sustainability of the water-energy-environment nexus. Owing to their diverse metabolic pathways and ability to adapt to diverse conditions, microalgal-MGPB co-cultures could be promising biological systems under uncertain environmental and nutrient conditions. This review proposes the recent updates and progress on MGPB for microalgae cultivation through co-culture strategies. Firstly, potential MGPB strains for microalgae cultivation are introduced. Following, microalgal-MGPB interaction mechanisms and applications of their co-cultures for biomass production and wastewater treatment are reviewed. Moreover, state-of-the-art studies on synthetic biology and metabolic network analysis, along with the challenges and prospects of opting these approaches for microalgal-MGPB co-cultures are presented. It is anticipated that these strategies may significantly improve the sustainability of microalgal-MGPB co-cultures for wastewater treatment, biomass valorization, and bioproducts synthesis in a circular bioeconomy paradigm.
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Affiliation(s)
- Wasu Pathom-Aree
- Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand; Center of Excellence in Microbial Diversity and Sustainable Utilization, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Pachara Sattayawat
- Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand; Center of Excellence in Microbial Diversity and Sustainable Utilization, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Sahutchai Inwongwan
- Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand; Center of Excellence in Microbial Diversity and Sustainable Utilization, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Benjamas Cheirsilp
- Program of Biotechnology, Center of Excellence in Innovative Biotechnology for Sustainable Utilization of Bioresources, Faculty of Agro-Industry, Prince of Songkla University, Songkhla 90110, Thailand
| | - Naruepon Liewtrakula
- Program of Biotechnology, Center of Excellence in Innovative Biotechnology for Sustainable Utilization of Bioresources, Faculty of Agro-Industry, Prince of Songkla University, Songkhla 90110, Thailand
| | - Wageeporn Maneechote
- Program of Biotechnology, Center of Excellence in Innovative Biotechnology for Sustainable Utilization of Bioresources, Faculty of Agro-Industry, Prince of Songkla University, Songkhla 90110, Thailand; Office of Research Administration, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Pharada Rangseekaew
- Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand; Center of Excellence in Microbial Diversity and Sustainable Utilization, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Fiaz Ahmad
- Key Laboratory for Space Bioscience & Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Muhammad Aamer Mehmood
- Bioenergy Research Center, Department of Bioinformatics & Biotechnology, Government College University Faisalabad, Faisalabad 38000, Pakistan
| | - Fengzheng Gao
- Sustainable Food Processing Laboratory, Institute of Food, Nutrition and Health, ETH Zurich, Zurich 8092, Switzerland; Laboratory of Nutrition and Metabolic Epigenetics, Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach 8603, Switzerland
| | - Sirasit Srinuanpan
- Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand; Center of Excellence in Microbial Diversity and Sustainable Utilization, Chiang Mai University, Chiang Mai 50200, Thailand; Office of Research Administration, Chiang Mai University, Chiang Mai 50200, Thailand; Biorefinery and Bioprocess Engineering Research Cluster, Chiang Mai University, Chiang Mai 50200, Thailand.
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2
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Michielsen S, Vercelli GT, Cordero OX, Bachmann H. Spatially structured microbial consortia and their role in food fermentations. Curr Opin Biotechnol 2024; 87:103102. [PMID: 38461750 DOI: 10.1016/j.copbio.2024.103102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Revised: 02/14/2024] [Accepted: 02/14/2024] [Indexed: 03/12/2024]
Abstract
Microbial consortia are important for the fermentation of foods. They bring combined functionalities to the fermented product, but stability and product consistency of fermentations with complex consortia can be hard to control. Some of these consortia, such as water- and milk-kefir and kombucha, grow as multispecies aggregates or biofilms, in which micro-organisms taking part in a fermentation cascade are spatially organized. The spatial organization of micro-organisms in these aggregates can impact what metabolic interactions are realized in the consortia, ultimately affecting the growth dynamics and evolution of microbes. A better understanding of such spatially structured communities is of interest from the perspective of microbial ecology and biotechnology, as multispecies aggregates can be used to valorize energy-rich substrates, such as plant-based substrates or side streams from the food industry.
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Affiliation(s)
- Sabine Michielsen
- Systems Biology Lab, A-LIFE/AIMMS, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081HV Amsterdam, the Netherlands
| | - Gabriel T Vercelli
- Department of Civil and Environmental Engineering, 15 Vassar St, Cambridge, MA 02139, USA
| | - Otto X Cordero
- Department of Civil and Environmental Engineering, 15 Vassar St, Cambridge, MA 02139, USA
| | - Herwig Bachmann
- Systems Biology Lab, A-LIFE/AIMMS, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081HV Amsterdam, the Netherlands; Microbiology Department, NIZO Food Research, Ede, the Netherlands.
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3
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Choudhary R, Mahadevan R. DyMMM-LEAPS: An ML-based framework for modulating evenness and stability in synthetic microbial communities. Biophys J 2024:S0006-3495(24)00320-5. [PMID: 38733081 DOI: 10.1016/j.bpj.2024.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 04/22/2024] [Accepted: 05/07/2024] [Indexed: 05/13/2024] Open
Abstract
There have been a growing number of computational strategies to aid in the design of synthetic microbial consortia. A framework to identify regions in parametric space to maximize two essential properties, evenness and stability, is critical. In this study, we introduce DyMMM-LEAPS (dynamic multispecies metabolic modeling-locating evenness and stability in large parametric space), an extension of the DyMMM framework. Our method explores the large parametric space of genetic circuits in synthetic microbial communities to identify regions of evenness and stability. Due to the high computational costs of exhaustive sampling, we utilize adaptive sampling and surrogate modeling to reduce the number of simulations required to map the vast space. Our framework predicts engineering targets and computes their operating ranges to maximize the probability of the engineered community to have high evenness and stability. We demonstrate our approach by simulating five cocultures and one three-strain culture with different social interactions (cooperation, competition, and predation) employing quorum-sensing-based genetic circuits. In addition to guiding circuit tuning, our pipeline gives an opportunity for a detailed analysis of pockets of evenness and stability for the circuit under investigation, which can further help dissect the relationship between the two properties. DyMMM-LEAPS is easily customizable and can be expanded to a larger community with more complex interactions.
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Affiliation(s)
- Ruhi Choudhary
- University of Toronto, Department of Chemical Engineering and Applied Chemistry, Toronto, ON, Canada
| | - Radhakrishnan Mahadevan
- University of Toronto, Department of Chemical Engineering and Applied Chemistry, Toronto, ON, Canada.
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4
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Shrestha S, Goswami S, Banerjee D, Garcia V, Zhou E, Olmsted CN, Majumder ELW, Kumar D, Awasthi D, Mukhopadhyay A, Singer SW, Gladden JM, Simmons BA, Choudhary H. Perspective on Lignin Conversion Strategies That Enable Next Generation Biorefineries. CHEMSUSCHEM 2024:e202301460. [PMID: 38669480 DOI: 10.1002/cssc.202301460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 03/14/2024] [Indexed: 04/28/2024]
Abstract
The valorization of lignin, a currently underutilized component of lignocellulosic biomass, has attracted attention to promote a stable and circular bioeconomy. Successful approaches including thermochemical, biological, and catalytic lignin depolymerization have been demonstrated, enabling opportunities for lignino-refineries and lignocellulosic biorefineries. Although significant progress in lignin valorization has been made, this review describes unexplored opportunities in chemical and biological routes for lignin depolymerization and thereby contributes to economically and environmentally sustainable lignin-utilizing biorefineries. This review also highlights the integration of chemical and biological lignin depolymerization and identifies research gaps while also recommending future directions for scaling processes to establish a lignino-chemical industry.
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Affiliation(s)
- Shilva Shrestha
- Joint BioEnergy Institute, Emeryville, CA 94608, United States
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
- Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, MD 21205, United States
| | - Shubhasish Goswami
- Joint BioEnergy Institute, Emeryville, CA 94608, United States
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
| | - Deepanwita Banerjee
- Joint BioEnergy Institute, Emeryville, CA 94608, United States
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
| | - Valentina Garcia
- Joint BioEnergy Institute, Emeryville, CA 94608, United States
- Department of Biomanufacturing and Biomaterials, Sandia National Laboratories, Livermore, CA 94550, United States
| | - Elizabeth Zhou
- Joint BioEnergy Institute, Emeryville, CA 94608, United States
| | - Charles N Olmsted
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI 53706, United States
| | - Erica L-W Majumder
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI 53706, United States
| | - Deepak Kumar
- Department of Chemical Engineering, SUNY College of Environmental Science and Forestry, Syracuse, NY 13210, United States
| | - Deepika Awasthi
- Joint BioEnergy Institute, Emeryville, CA 94608, United States
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
| | - Aindrila Mukhopadhyay
- Joint BioEnergy Institute, Emeryville, CA 94608, United States
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
| | - Steven W Singer
- Joint BioEnergy Institute, Emeryville, CA 94608, United States
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
| | - John M Gladden
- Joint BioEnergy Institute, Emeryville, CA 94608, United States
- Department of Biomanufacturing and Biomaterials, Sandia National Laboratories, Livermore, CA 94550, United States
| | - Blake A Simmons
- Joint BioEnergy Institute, Emeryville, CA 94608, United States
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
| | - Hemant Choudhary
- Joint BioEnergy Institute, Emeryville, CA 94608, United States
- Department of Bioresource and Environmental Security, Sandia National Laboratories, Livermore, CA 94550, United States
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5
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Gómez-Márquez C, Morales JA, Romero-Gutiérrez T, Paredes O, Borrayo E. Decoding semiotic minimal genome: a non-genocentric approach. Front Microbiol 2024; 15:1356050. [PMID: 38476952 PMCID: PMC10929006 DOI: 10.3389/fmicb.2024.1356050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 02/02/2024] [Indexed: 03/14/2024] Open
Abstract
The search for the minimum information required for an organism to sustain a cellular system network has rendered both the identification of a fixed number of known genes and those genes whose function remains to be identified. The approaches used in such search generally focus their analysis on coding genomic regions, based on the genome to proteic-product perspective. Such approaches leave other fundamental processes aside, mainly those that include higher-level information management. To cope with this limitation, a non-genocentric approach based on genomic sequence analysis using language processing tools and gene ontology may prove an effective strategy for the identification of those fundamental genomic elements for life autonomy. Additionally, this approach will provide us with an integrative analysis of the information value present in all genomic elements, regardless of their coding status.
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Affiliation(s)
- Carolina Gómez-Márquez
- Biodigital Innovation Lab, Translational Bioengineering Department, Exact Sciences and Engineering University Center, Universidad de Guadalajara, Guadalajara, Mexico
| | - J. Alejandro Morales
- Biodigital Innovation Lab, Translational Bioengineering Department, Exact Sciences and Engineering University Center, Universidad de Guadalajara, Guadalajara, Mexico
| | - Teresa Romero-Gutiérrez
- Biodigital Innovation Lab, Translational Bioengineering Department, Exact Sciences and Engineering University Center, Universidad de Guadalajara, Guadalajara, Mexico
- Technological Innovation Department, Tlajomulco University Center, Universidad de Guadalajara, Guadalajara, Mexico
| | - Omar Paredes
- Biodigital Innovation Lab, Translational Bioengineering Department, Exact Sciences and Engineering University Center, Universidad de Guadalajara, Guadalajara, Mexico
| | - Ernesto Borrayo
- Biodigital Innovation Lab, Translational Bioengineering Department, Exact Sciences and Engineering University Center, Universidad de Guadalajara, Guadalajara, Mexico
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6
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Zeng M, Sarker B, Rondthaler SN, Vu V, Andrews LB. Identifying LasR Quorum Sensors with Improved Signal Specificity by Mapping the Sequence-Function Landscape. ACS Synth Biol 2024; 13:568-589. [PMID: 38206199 DOI: 10.1021/acssynbio.3c00543] [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] [Indexed: 01/12/2024]
Abstract
Programmable intercellular signaling using components of naturally occurring quorum sensing can allow for coordinated functions to be engineered in microbial consortia. LuxR-type transcriptional regulators are widely used for this purpose and are activated by homoserine lactone (HSL) signals. However, they often suffer from imperfect molecular discrimination of structurally similar HSLs, causing misregulation within engineered consortia containing multiple HSL signals. Here, we studied one such example, the regulator LasR from Pseudomonas aeruginosa. We elucidated its sequence-function relationship for ligand specificity using targeted protein engineering and multiplexed high-throughput biosensor screening. A pooled combinatorial saturation mutagenesis library (9,486 LasR DNA sequences) was created by mutating six residues in LasR's β5 sheet with single, double, or triple amino acid substitutions. Sort-seq assays were performed in parallel using cognate and noncognate HSLs to quantify each corresponding sensor's response to each HSL signal, which identified hundreds of highly specific variants. Sensor variants identified were individually assayed and exhibited up to 60.6-fold (p = 0.0013) improved relative activation by the cognate signal compared to the wildtype. Interestingly, we uncovered prevalent mutational epistasis and previously unidentified residues contributing to signal specificity. The resulting sensors with negligible signal crosstalk could be broadly applied to engineer bacteria consortia.
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Affiliation(s)
- Min Zeng
- Department of Chemical Engineering, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States
| | - Biprodev Sarker
- Department of Chemical Engineering, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States
| | - Stephen N Rondthaler
- Department of Chemical Engineering, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States
| | - Vanessa Vu
- Department of Biochemistry and Molecular Biology, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States
| | - Lauren B Andrews
- Department of Chemical Engineering, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States
- Molecular and Cellular Biology Graduate Program, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States
- Biotechnology Training Program, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States
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7
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Shin J, Liao S, Kuanyshev N, Xin Y, Kim C, Lu T, Jin YS. Compositional and temporal division of labor modulates mixed sugar fermentation by an engineered yeast consortium. Nat Commun 2024; 15:781. [PMID: 38278783 PMCID: PMC10817915 DOI: 10.1038/s41467-024-45011-w] [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: 08/31/2022] [Accepted: 01/11/2024] [Indexed: 01/28/2024] Open
Abstract
Synthetic microbial communities have emerged as an attractive route for chemical bioprocessing. They are argued to be superior to single strains through microbial division of labor (DOL), but the exact mechanism by which DOL confers advantages remains unclear. Here, we utilize a synthetic Saccharomyces cerevisiae consortium along with mathematical modeling to achieve tunable mixed sugar fermentation to overcome the limitations of single-strain fermentation. The consortium involves two strains with each specializing in glucose or xylose utilization for ethanol production. By controlling initial community composition, DOL allows fine tuning of fermentation dynamics and product generation. By altering inoculation delay, DOL provides additional programmability to parallelly regulate fermentation characteristics and product yield. Mathematical models capture observed experimental findings and further offer guidance for subsequent fermentation optimization. This study demonstrates the functional potential of DOL in bioprocessing and provides insight into the rational design of engineered ecosystems for various applications.
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Affiliation(s)
- Jonghyeok Shin
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Synthetic Biology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea
| | - Siqi Liao
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Nurzhan Kuanyshev
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Yongping Xin
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Chanwoo Kim
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Ting Lu
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
| | - Yong-Su Jin
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
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8
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Zhou T, Wu J, Tang H, Liu D, Jeon BH, Jin W, Wang Y, Zheng Y, Khan A, Han H, Li X. Enhancing tumor-specific recognition of programmable synthetic bacterial consortium for precision therapy of colorectal cancer. NPJ Biofilms Microbiomes 2024; 10:6. [PMID: 38245564 PMCID: PMC10799920 DOI: 10.1038/s41522-024-00479-8] [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: 08/01/2023] [Accepted: 01/08/2024] [Indexed: 01/22/2024] Open
Abstract
Probiotics hold promise as a potential therapy for colorectal cancer (CRC), but encounter obstacles related to tumor specificity, drug penetration, and dosage adjustability. In this study, genetic circuits based on the E. coli Nissle 1917 (EcN) chassis were developed to sense indicators of tumor microenvironment and control the expression of therapeutic payloads. Integration of XOR gate amplify gene switch into EcN biosensors resulted in a 1.8-2.3-fold increase in signal output, as confirmed by mathematical model fitting. Co-culturing programmable EcNs with CRC cells demonstrated a significant reduction in cellular viability ranging from 30% to 50%. This approach was further validated in a mouse subcutaneous tumor model, revealing 47%-52% inhibition of tumor growth upon administration of therapeutic strains. Additionally, in a mouse tumorigenesis model induced by AOM and DSS, the use of synthetic bacterial consortium (SynCon) equipped with multiple sensing modules led to approximately 1.2-fold increased colon length and 2.4-fold decreased polyp count. Gut microbiota analysis suggested that SynCon maintained the abundance of butyrate-producing bacteria Lactobacillaceae NK4A136, whereas reducing the level of gut inflammation-related bacteria Bacteroides. Taken together, engineered EcNs confer the advantage of specific recognition of CRC, while SynCon serves to augment the synergistic effect of this approach.
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Affiliation(s)
- Tuoyu Zhou
- Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Jingyuan Wu
- The First Clinical Medical College of Lanzhou University, Lanzhou University, Lanzhou, China
| | - Haibo Tang
- Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Dali Liu
- Department of Chemistry and Biochemistry, Loyola University Chicago, Chicago, IL, USA
| | - Byong-Hun Jeon
- Department of Earth Resources and Environmental Engineering, Hanyang University, Seoul, Korea
| | - Weilin Jin
- Medical Frontier Innovation Research Center, The First Hospital of Lanzhou University, Lanzhou, China
| | - Yiqing Wang
- The First Clinical Medical College of Lanzhou University, Lanzhou University, Lanzhou, China
| | | | - Aman Khan
- Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Huawen Han
- State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agricultural Science and Technology, Lanzhou University, Lanzhou, China.
| | - Xiangkai Li
- Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, China.
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9
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Chen X, He C, Zhang Q, Bayakmetov S, Wang X. Modularized Design and Construction of Tunable Microbial Consortia with Flexible Topologies. ACS Synth Biol 2024; 13:183-194. [PMID: 38166159 PMCID: PMC10805104 DOI: 10.1021/acssynbio.3c00420] [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: 07/12/2023] [Revised: 11/17/2023] [Accepted: 11/20/2023] [Indexed: 01/04/2024]
Abstract
Complex and fluid bacterial community compositions are critical to diversity, stability, and function. However, quantitative and mechanistic descriptions of the dynamics of such compositions are still lacking. Here, we develop a modularized design framework that allows for bottom-up construction and the study of synthetic bacterial consortia with different topologies. We showcase the microbial consortia design and building process by constructing amensalism and competition consortia using only genetic circuit modules to engineer different strains to form the community. Functions of modules and hosting strains are validated and quantified to calibrate dynamic parameters, which are then directly fed into a full mechanistic model to accurately predict consortia composition dynamics for both amensalism and competition without further fitting. More importantly, such quantitative understanding successfully identifies the experimental conditions to achieve coexistence composition dynamics. These results illustrate the process of both computationally and experimentally building up bacteria consortia complexity and hence achieve robust control of such fluid systems.
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Affiliation(s)
- Xingwen Chen
- School
of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona 85287, United States
| | - Changhan He
- Department
of Mathematics, University of California
Irvine, Irvine, California 92697, United States
| | - Qi Zhang
- School
of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona 85287, United States
| | - Samat Bayakmetov
- School
of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona 85287, United States
| | - Xiao Wang
- School
of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona 85287, United States
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10
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Zeng M, Sarker B, Howitz N, Shah I, Andrews LB. Synthetic Homoserine Lactone Sensors for Gram-Positive Bacillus subtilis Using LuxR-Type Regulators. ACS Synth Biol 2024; 13:282-299. [PMID: 38079538 PMCID: PMC10805106 DOI: 10.1021/acssynbio.3c00504] [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: 08/18/2023] [Revised: 10/11/2023] [Accepted: 10/18/2023] [Indexed: 01/23/2024]
Abstract
A universal biochemical signal for bacterial cell-cell communication could facilitate programming dynamic responses in diverse bacterial consortia. However, the classical quorum sensing paradigm is that Gram-negative and Gram-positive bacteria generally communicate via homoserine lactones (HSLs) or oligopeptide molecular signals, respectively, to elicit population responses. Here, we create synthetic HSL sensors for Gram-positive Bacillus subtilis 168 using allosteric LuxR-type regulators (RpaR, LuxR, RhlR, and CinR) and synthetic promoters. Promoters were combinatorially designed from different sequence elements (-35, -16, -10, and transcriptional start regions). We quantified the effects of these combinatorial promoters on sensor activity and determined how regulator expression affects its activation, achieving up to 293-fold activation. Using the statistical design of experiments, we identified significant effects of promoter regions and pairwise interactions on sensor activity, which helped to understand the sequence-function relationships for synthetic promoter design. We present the first known set of functional HSL sensors (≥20-fold dynamic range) in B. subtilis for four different HSL chemical signals: p-coumaroyl-HSL, 3-oxohexanoyl-HSL, n-butyryl-HSL, and n-(3-hydroxytetradecanoyl)-HSL. This set of synthetic HSL sensors for a Gram-positive bacterium can pave the way for designable interspecies communication within microbial consortia.
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Affiliation(s)
- Min Zeng
- Department
of Chemical Engineering, University of Massachusetts
Amherst, Amherst, Massachusetts 01003, United States
| | - Biprodev Sarker
- Department
of Chemical Engineering, University of Massachusetts
Amherst, Amherst, Massachusetts 01003, United States
| | - Nathaniel Howitz
- Department
of Chemical Engineering, University of Massachusetts
Amherst, Amherst, Massachusetts 01003, United States
| | - Ishita Shah
- Department
of Chemical Engineering, University of Massachusetts
Amherst, Amherst, Massachusetts 01003, United States
| | - Lauren B. Andrews
- Department
of Chemical Engineering, University of Massachusetts
Amherst, Amherst, Massachusetts 01003, United States
- Molecular
and Cellular Biology Graduate Program, University
of Massachusetts Amherst, Amherst, Massachusetts 01003, United States
- Biotechnology
Training Program, University of Massachusetts
Amherst, Amherst, Massachusetts 01003, United States
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11
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Chen X, Gao M, Wang L, Qiang G, Wu Y, Huang H, Kang G. A synthetic microbial consortium protects against obesity by regulating vitamin B6 metabolism. Gut Microbes 2024; 16:2304901. [PMID: 38269591 PMCID: PMC10813659 DOI: 10.1080/19490976.2024.2304901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 01/09/2024] [Indexed: 01/26/2024] Open
Abstract
Constructing synthetic microbial consortia is a challenging task but holds enormous potential for various applications. Our previous droplet-based microfluidic approach allowed for the isolation of bacteria that could utilize metabolites from an engineered bacterium BsS-RS06551 with anti-obesity potential, facilitating the construction of synthetic microbial consortia. Here, we identified a strain of Bifidobacterium pseudocatenulatum JJ3 that interacted with BsS-RS06551, and in vitro coculture showed that BsS-RS06551 was likely to interact with JJ3 through five dipeptides. Pathway analysis revealed that the vitamin B6 metabolism pathway was enriched in the coculture of BsS-RS06551 and JJ3 compared with the individual culture of BsS-RS06551. Additionally, we confirmed that the administration of JJ3 significantly alleviated obesity and related disorders in mice fed a high-fat diet. Notably, continuous ingestion of the synthetic microbial consortium comprising BsS-RS06551 and JJ3 not only exhibited a more pronounced impact on alleviating obesity compared to the individual administration of BsS-RS06551 or JJ3 but also enriched the population of Bifidobacterium longum and perturbed the vitamin B6 metabolism pathway in the gut. Synthetic microbial consortia represent a promising frontier for synthetic biology, and our strategy provides guidance for constructing and applying such consortia.
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Affiliation(s)
- Xiuzhao Chen
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
| | - Mengxue Gao
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
| | - Lina Wang
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
| | - Guifen Qiang
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College and Beijing Key Laboratory of Drug Target and Screening Research, Beijing, China
| | - Yili Wu
- Oujiang Laboratory, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - He Huang
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
| | - Guangbo Kang
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
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12
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Zong DM, Sadeghpour M, Molinari S, Alnahhas RN, Hirning AJ, Giannitsis C, Ott W, Josić K, Bennett MR. Tunable Dynamics in a Multistrain Transcriptional Pulse Generator. ACS Synth Biol 2023; 12:3531-3543. [PMID: 38016068 DOI: 10.1021/acssynbio.3c00434] [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] [Indexed: 11/30/2023]
Abstract
One challenge in synthetic biology is the tuning of regulatory components within gene circuits to elicit a specific behavior. This challenge becomes more difficult in synthetic microbial consortia since each strain's circuit must function at the intracellular level and their combination must operate at the population level. Here we demonstrate that circuit dynamics can be tuned in synthetic consortia through the manipulation of strain fractions within the community. To do this, we construct a microbial consortium comprised of three strains of engineered Escherichia coli that, when cocultured, use homoserine lactone-mediated intercellular signaling to create a multistrain incoherent type-1 feedforward loop (I1-FFL). Like naturally occurring I1-FFL motifs in gene networks, this engineered microbial consortium acts as a pulse generator of gene expression. We demonstrate that the amplitude of the pulse can be easily tuned by adjusting the relative population fractions of the strains. We also develop a mathematical model for the temporal dynamics of the microbial consortium. This model allows us to identify population fractions that produced desired pulse characteristics, predictions that were confirmed for all but extreme fractions. Our work demonstrates that intercellular gene circuits can be effectively tuned simply by adjusting the starting fractions of each strain in the consortium.
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Affiliation(s)
- David M Zong
- Graduate Program in Systems, Synthetic, and Physical Biology, Rice University, Houston, Texas 77005, United States
| | - Mehdi Sadeghpour
- Department of Biosciences, Rice University, Houston, Texas 77005, United States
- Department of Mathematics, University of Houston, Houston, Texas 77004, United States
| | - Sara Molinari
- Department of Biosciences, Rice University, Houston, Texas 77005, United States
| | - Razan N Alnahhas
- Department of Biosciences, Rice University, Houston, Texas 77005, United States
| | - Andrew J Hirning
- Department of Biosciences, Rice University, Houston, Texas 77005, United States
| | - Charilaos Giannitsis
- Graduate Program in Systems, Synthetic, and Physical Biology, Rice University, Houston, Texas 77005, United States
| | - William Ott
- Department of Mathematics, University of Houston, Houston, Texas 77004, United States
| | - Krešimir Josić
- Department of Mathematics, University of Houston, Houston, Texas 77004, United States
- Department of Biology and Biochemistry, University of Houston, Houston, Texas 77004, United States
| | - Matthew R Bennett
- Department of Biosciences, Rice University, Houston, Texas 77005, United States
- Department of Bioengineering, Rice University, Houston, Texas 77005, United States
- Rice Synthetic Biology Institute, Rice University, Houston, Texas 77005, United States
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13
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Navarro-Monserrat ED, Taylor CG. T6SS: A Key to Pseudomonas's Success in Biocontrol? Microorganisms 2023; 11:2718. [PMID: 38004732 PMCID: PMC10673566 DOI: 10.3390/microorganisms11112718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 10/29/2023] [Accepted: 10/30/2023] [Indexed: 11/26/2023] Open
Abstract
Bacteria from the genus Pseudomonas have been extensively studied for their capacity to act as biological control agents of disease and pests and for their ability to enhance and promote crop production in agricultural systems. While initial research primarily focused on the human pathogenic bacteria Pseudomonas aeruginosa, recent studies indicate the significance of type VI secretion (T6SS) in other Pseudomonas strains for biocontrol purposes. This system possibly plays a pivotal role in restricting the biological activity of target microorganisms and may also contribute to the bolstering of the survival capabilities of the bacteria within their applied environment. The type VI secretion system is a phage-like structure used to translocate effectors into both prokaryotic and eukaryotic target cells. T6SSs are involved in a myriad of interactions, some of which have direct implications in the success of Pseudomonas as biocontrol agents. The prevalence of T6SSs in the genomes of Pseudomonas species is notably greater than the estimated 25% occurrence rate found in Gram-negative bacteria. This observation implies that T6SS likely plays a pivotal role in the survival and fitness of Pseudomonas. This review provides a brief overview of T6SS, its role in Pseudomonas with biocontrol applications, and future avenues of research within this subject matter.
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Affiliation(s)
| | - Christopher G. Taylor
- Department of Plant Pathology, Ohio Agricultural Research and Development Center, Wooster, OH 44691, USA;
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14
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Bao T, Qian Y, Xin Y, Collins JJ, Lu T. Engineering microbial division of labor for plastic upcycling. Nat Commun 2023; 14:5712. [PMID: 37752119 PMCID: PMC10522701 DOI: 10.1038/s41467-023-40777-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 08/09/2023] [Indexed: 09/28/2023] Open
Abstract
Plastic pollution is rapidly increasing worldwide, causing adverse impacts on the environment, wildlife and human health. One tempting solution to this crisis is upcycling plastics into products with engineered microorganisms; however, this remains challenging due to complexity in conversion. Here we present a synthetic microbial consortium that efficiently degrades polyethylene terephthalate hydrolysate and subsequently produces desired chemicals through division of labor. The consortium involves two Pseudomonas putida strains, specializing in terephthalic acid and ethylene glycol utilization respectively, to achieve complete substrate assimilation. Compared with its monoculture counterpart, the consortium exhibits reduced catabolic crosstalk and faster deconstruction, particularly when substrate concentrations are high or crude hydrolysate is used. It also outperforms monoculture when polyhydroxyalkanoates serves as a target product and confers flexible tuning through population modulation for cis-cis muconate synthesis. This work demonstrates engineered consortia as a promising, effective platform that may facilitate polymer upcycling and environmental sustainability.
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Affiliation(s)
- Teng Bao
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Yuanchao Qian
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Yongping Xin
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - James J Collins
- Department of Biological Engineering and Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Longwood, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Ting Lu
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA.
- Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA.
- Center for Biophysics and Quantitative Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA.
- Department of Physics, University of Illinois Urbana-Champaign, Urbana, IL, USA.
- National Center for Supercomputing Applications, Urbana, IL, 61801, USA.
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15
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Winkle JJ, Saha S, Essman J, Bennett MR, Ott W, Josić K, Mugler A. Signaling in microbial communities with open boundaries. Biophys J 2023; 122:2808-2817. [PMID: 37300250 PMCID: PMC10397789 DOI: 10.1016/j.bpj.2023.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 05/11/2023] [Accepted: 06/05/2023] [Indexed: 06/12/2023] Open
Abstract
Microbial communities such as swarms or biofilms often form at the interfaces of solid substrates and open fluid flows. At the same time, in laboratory environments these communities are commonly studied using microfluidic devices with media flows and open boundaries. Extracellular signaling within these communities is therefore subject to different constraints than signaling within classic, closed-boundary systems such as developing embryos or tissues, yet is understudied by comparison. Here, we use mathematical modeling to show how advective-diffusive boundary flows and population geometry impact cell-cell signaling in monolayer microbial communities. We reveal conditions where the intercellular signaling lengthscale depends solely on the population geometry and not on diffusion or degradation, as commonly expected. We further demonstrate that diffusive coupling with the boundary flow can produce signal gradients within an isogenic population, even when there is no flow within the population. We use our theory to provide new insights into the signaling mechanisms of published experimental results, and we make several experimentally verifiable predictions. Our research highlights the importance of carefully evaluating boundary dynamics and environmental geometry when modeling microbial cell-cell signaling and informs the study of cell behaviors in both natural and synthetic systems.
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Affiliation(s)
- James J Winkle
- Department of Mathematics, University of Houston, Houston, Texas
| | - Soutick Saha
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana
| | - Joseph Essman
- Department of BioSciences, Rice University, Houston, Texas
| | | | - William Ott
- Department of Mathematics, University of Houston, Houston, Texas.
| | - Krešimir Josić
- Department of Mathematics, University of Houston, Houston, Texas; Department of BioSciences, Rice University, Houston, Texas; Department of Biology and Biochemistry, University of Houston, Houston, Texas.
| | - Andrew Mugler
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana; Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, Pennsylvania.
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16
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Nguyen PQ, Huang X, Collins DS, Collins JJ, Lu T. Harnessing synthetic biology to enhance ocean health. Trends Biotechnol 2023; 41:860-874. [PMID: 36669947 DOI: 10.1016/j.tibtech.2022.12.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 12/16/2022] [Accepted: 12/22/2022] [Indexed: 01/19/2023]
Abstract
Ocean health is faltering, its capability for regeneration and renewal being eroded by a steady pulse of anthropomorphic impacts. Plastic waste has infiltrated all ocean biomes, climate change threatens coral reefs with extinction, and eutrophication has unleashed vast algal blooms. In the face of these challenges, synthetic biology approaches may hold untapped solutions to mitigate adverse effects, repair ecosystems, and put us on a path towards sustainable stewardship of our planet. Leveraging synthetic biology tools would enable innovative engineering approaches to augment the natural adaptive capacity of ocean biological systems to cope with the swiftness of human-induced change. Here, we present a framework for developing synthetic biology solutions for the challenges of plastic pollution, coral bleaching, and harmful algal blooms.
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Affiliation(s)
- Peter Q Nguyen
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Xiaoning Huang
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Daniel S Collins
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA; Department of Biology and Nicholas School of the Environment, Duke University, Durham, NC, USA
| | - James J Collins
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA; Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Ting Lu
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA; Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Physics, University of Illinois Urbana-Champaign, Urbana, IL, USA; Center for Biophysics and Quantitative Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA; National Center for Supercomputing Applications, University of Illinois Urbana-Champaign, Urbana, IL, USA.
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17
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Abstract
Microbial communities are complex living systems that populate the planet with diverse functions and are increasingly harnessed for practical human needs. To deepen the fundamental understanding of their organization and functioning as well as to facilitate their engineering for applications, mathematical modeling has played an increasingly important role. Agent-based models represent a class of powerful quantitative frameworks for investigating microbial communities because of their individualistic nature in describing cells, mechanistic characterization of molecular and cellular processes, and intrinsic ability to produce emergent system properties. This review presents a comprehensive overview of recent advances in agent-based modeling of microbial communities. It surveys the state-of-the-art algorithms employed to simulate intracellular biomolecular events, single-cell behaviors, intercellular interactions, and interactions between cells and their environments that collectively serve as the driving forces of community behaviors. It also highlights three lines of applications of agent-based modeling, namely, the elucidation of microbial range expansion and colony ecology, the design of synthetic gene circuits and microbial populations for desired behaviors, and the characterization of biofilm formation and dispersal. The review concludes with a discussion of existing challenges, including the computational cost of the modeling, and potential mitigation strategies.
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Affiliation(s)
- Karthik Nagarajan
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
| | - Congjian Ni
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
| | - Ting Lu
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.,Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.,Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.,Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.,National Center for Supercomputing Applications, Urbana, Illinois 61801, United States
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18
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Xu P, Zhou K. Editorial overview: Analytical biotechnology for healthcare, strain engineering, biosensing and synthetic biology. Curr Opin Biotechnol 2022; 77:102765. [PMID: 35988531 DOI: 10.1016/j.copbio.2022.102765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Peng Xu
- Department of Chemical Engineering, Guangdong - Technion, Israel Institute of Technology, Shantou 515063, China.
| | - Kang Zhou
- Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore.
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19
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Jadhav P, Chen Y, Butzin N, Buceta J, Urchueguía A. Bacterial degrons in synthetic circuits. Open Biol 2022; 12:220180. [PMID: 35975648 PMCID: PMC9382460 DOI: 10.1098/rsob.220180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Bacterial proteases are a promising post-translational regulation strategy in synthetic circuits because they recognize specific amino acid degradation tags (degrons) that can be fine-tuned to modulate the degradation levels of tagged proteins. For this reason, recent efforts have been made in the search for new degrons. Here we review the up-to-date applications of degradation tags for circuit engineering in bacteria. In particular, we pay special attention to the effects of degradation bottlenecks in synthetic oscillators and introduce mathematical approaches to study queueing that enable the quantitative modelling of proteolytic queues.
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Affiliation(s)
- Prajakta Jadhav
- Department of Biology and Microbiology, South Dakota State University, Brookings, SD, USA
| | - Yanyan Chen
- Program for Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nicholas Butzin
- Department of Biology and Microbiology, South Dakota State University, Brookings, SD, USA
| | - Javier Buceta
- Institute for Integrative Systems Biology (I2SysBio, CSIC-UV), Paterna, Valencia 46980, Spain
| | - Arantxa Urchueguía
- Department of Biology and Microbiology, South Dakota State University, Brookings, SD, USA.,Institute for Integrative Systems Biology (I2SysBio, CSIC-UV), Paterna, Valencia 46980, Spain
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