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Matteau D, Duval A, Baby V, Rodrigue S. Mesoplasma florum: a near-minimal model organism for systems and synthetic biology. Front Genet 2024; 15:1346707. [PMID: 38404664 PMCID: PMC10884336 DOI: 10.3389/fgene.2024.1346707] [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: 11/29/2023] [Accepted: 01/24/2024] [Indexed: 02/27/2024] Open
Abstract
Mesoplasma florum is an emerging model organism for systems and synthetic biology due to its small genome (∼800 kb) and fast growth rate. While M. florum was isolated and first described almost 40 years ago, many important aspects of its biology have long remained uncharacterized due to technological limitations, the absence of dedicated molecular tools, and since this bacterial species has not been associated with any disease. However, the publication of the first M. florum genome in 2004 paved the way for a new era of research fueled by the rise of systems and synthetic biology. Some of the most important studies included the characterization and heterologous use of M. florum regulatory elements, the development of the first replicable plasmids, comparative genomics and transposon mutagenesis, whole-genome cloning in yeast, genome transplantation, in-depth characterization of the M. florum cell, as well as the development of a high-quality genome-scale metabolic model. The acquired data, knowledge, and tools will greatly facilitate future genome engineering efforts in M. florum, which could next be exploited to rationally design and create synthetic cells to advance fundamental knowledge or for specific applications.
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Affiliation(s)
- Dominick Matteau
- Département de biologie, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Anthony Duval
- Département de biologie, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Vincent Baby
- Centre de diagnostic vétérinaire de l'Université de Montréal, Université de Montréal, Saint-Hyacinthe, QC, Canada
| | - Sébastien Rodrigue
- Département de biologie, Université de Sherbrooke, Sherbrooke, QC, Canada
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2
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Liang Y, Luo H, Lin Y, Gao F. Recent advances in the characterization of essential genes and development of a database of essential genes. IMETA 2024; 3:e157. [PMID: 38868518 PMCID: PMC10989110 DOI: 10.1002/imt2.157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 10/09/2023] [Indexed: 06/14/2024]
Abstract
Over the past few decades, there has been a significant interest in the study of essential genes, which are crucial for the survival of an organism under specific environmental conditions and thus have practical applications in the fields of synthetic biology and medicine. An increasing amount of experimental data on essential genes has been obtained with the continuous development of technological methods. Meanwhile, various computational prediction methods, related databases and web servers have emerged accordingly. To facilitate the study of essential genes, we have established a database of essential genes (DEG), which has become popular with continuous updates to facilitate essential gene feature analysis and prediction, drug and vaccine development, as well as artificial genome design and construction. In this article, we summarized the studies of essential genes, overviewed the relevant databases, and discussed their practical applications. Furthermore, we provided an overview of the main applications of DEG and conducted comprehensive analyses based on its latest version. However, it should be noted that the essential gene is a dynamic concept instead of a binary one, which presents both opportunities and challenges for their future development.
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Affiliation(s)
| | - Hao Luo
- Department of PhysicsTianjin UniversityTianjinChina
| | - Yan Lin
- Department of PhysicsTianjin UniversityTianjinChina
| | - Feng Gao
- Department of PhysicsTianjin UniversityTianjinChina
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education)Tianjin UniversityTianjinChina
- SynBio Research PlatformCollaborative Innovation Center of Chemical Science and Engineering (Tianjin)TianjinChina
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3
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Bianchi D, Pelletier JF, Hutchison CA, Glass JI, Luthey-Schulten Z. Toward the Complete Functional Characterization of a Minimal Bacterial Proteome. J Phys Chem B 2022; 126:6820-6834. [PMID: 36048731 PMCID: PMC9483919 DOI: 10.1021/acs.jpcb.2c04188] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 08/10/2022] [Indexed: 11/29/2022]
Abstract
Recently, we presented a whole-cell kinetic model of the genetically minimal bacterium JCVI-syn3A that described the coupled metabolic and genetic information processes and predicted behaviors emerging from the interactions among these networks. JCVI-syn3A is a genetically reduced bacterial cell that has the fewest number and smallest fraction of genes of unclear function, with approximately 90 of its 452 protein-coding genes (that is less than 20%) unannotated. Further characterization of unclear JCVI-syn3A genes strengthens the robustness and predictive power of cell modeling efforts and can lead to a deeper understanding of biophysical processes and pathways at the cell scale. Here, we apply computational analyses to elucidate the functions of the products of several essential but previously uncharacterized genes involved in integral cellular processes, particularly those directly affecting cell growth, division, and morphology. We also suggest directed wet-lab experiments informed by our analyses to further understand these "missing puzzle pieces" that are an essential part of the mosaic of biological interactions present in JCVI-syn3A. Our workflow leverages evolutionary sequence analysis, protein structure prediction, interactomics, and genome architecture to determine upgraded annotations. Additionally, we apply the structure prediction analysis component of our work to all 452 protein coding genes in JCVI-syn3A to expedite future functional annotation studies as well as the inverse mapping of the cell state to more physical models requiring all-atom or coarse-grained representations for all JCVI-syn3A proteins.
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Affiliation(s)
- David
M. Bianchi
- Department
of Chemistry, University of Illinois Urbana−Champaign, 600 S Mathews Ave, Urbana, Illinois 61801, United States
| | - James F. Pelletier
- Centro
Nacional de Biotecnologia, Calle Darwin no. 3, 28049 Madrid, Spain
| | - Clyde A. Hutchison
- J.
Craig Venter Institute, 4120 Capricorn Ln. La Jolla, California 92037, United States
| | - John I. Glass
- J.
Craig Venter Institute, 4120 Capricorn Ln. La Jolla, California 92037, United States
| | - Zaida Luthey-Schulten
- Department
of Chemistry, University of Illinois Urbana−Champaign, 600 S Mathews Ave, Urbana, Illinois 61801, United States
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4
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LeBlanc N, Charles TC. Bacterial genome reductions: Tools, applications, and challenges. Front Genome Ed 2022; 4:957289. [PMID: 36120530 PMCID: PMC9473318 DOI: 10.3389/fgeed.2022.957289] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 07/29/2022] [Indexed: 11/16/2022] Open
Abstract
Bacterial cells are widely used to produce value-added products due to their versatility, ease of manipulation, and the abundance of genome engineering tools. However, the efficiency of producing these desired biomolecules is often hindered by the cells’ own metabolism, genetic instability, and the toxicity of the product. To overcome these challenges, genome reductions have been performed, making strains with the potential of serving as chassis for downstream applications. Here we review the current technologies that enable the design and construction of such reduced-genome bacteria as well as the challenges that limit their assembly and applicability. While genomic reductions have shown improvement of many cellular characteristics, a major challenge still exists in constructing these cells efficiently and rapidly. Computational tools have been created in attempts at minimizing the time needed to design these organisms, but gaps still exist in modelling these reductions in silico. Genomic reductions are a promising avenue for improving the production of value-added products, constructing chassis cells, and for uncovering cellular function but are currently limited by their time-consuming construction methods. With improvements to and the creation of novel genome editing tools and in silico models, these approaches could be combined to expedite this process and create more streamlined and efficient cell factories.
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Affiliation(s)
- Nicole LeBlanc
- Department of Biology, University of Waterloo, Waterloo, ON, Canada
- *Correspondence: Nicole LeBlanc,
| | - Trevor C. Charles
- Department of Biology, University of Waterloo, Waterloo, ON, Canada
- Metagenom Bio Life Science Inc., Waterloo, ON, Canada
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5
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Thornburg ZR, Bianchi DM, Brier TA, Gilbert BR, Earnest TM, Melo MC, Safronova N, Sáenz JP, Cook AT, Wise KS, Hutchison CA, Smith HO, Glass JI, Luthey-Schulten Z. Fundamental behaviors emerge from simulations of a living minimal cell. Cell 2022; 185:345-360.e28. [PMID: 35063075 PMCID: PMC9985924 DOI: 10.1016/j.cell.2021.12.025] [Citation(s) in RCA: 60] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 11/01/2021] [Accepted: 12/17/2021] [Indexed: 01/18/2023]
Abstract
We present a whole-cell fully dynamical kinetic model (WCM) of JCVI-syn3A, a minimal cell with a reduced genome of 493 genes that has retained few regulatory proteins or small RNAs. Cryo-electron tomograms provide the cell geometry and ribosome distributions. Time-dependent behaviors of concentrations and reaction fluxes from stochastic-deterministic simulations over a cell cycle reveal how the cell balances demands of its metabolism, genetic information processes, and growth, and offer insight into the principles of life for this minimal cell. The energy economy of each process including active transport of amino acids, nucleosides, and ions is analyzed. WCM reveals how emergent imbalances lead to slowdowns in the rates of transcription and translation. Integration of experimental data is critical in building a kinetic model from which emerges a genome-wide distribution of mRNA half-lives, multiple DNA replication events that can be compared to qPCR results, and the experimentally observed doubling behavior.
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Affiliation(s)
- Zane R. Thornburg
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - David M. Bianchi
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Troy A. Brier
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Benjamin R. Gilbert
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Tyler M. Earnest
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Marcelo C.R. Melo
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Nataliya Safronova
- Technische Universität Dresden, B CUBE Center for Molecular Bioengineering, 01307 Dresden, Germany
| | - James P. Sáenz
- Technische Universität Dresden, B CUBE Center for Molecular Bioengineering, 01307 Dresden, Germany
| | | | - Kim S. Wise
- J. Craig Venter Institute, La Jolla, CA 92037, USA
| | | | | | | | - Zaida Luthey-Schulten
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; NSF Center for the Physics of Living Cells, Urbana, IL 61801, USA; NIH Center for Macromolecular Modeling and Bioinformatics, Urbana, IL 61801, USA.
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6
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Gilbert BR, Thornburg ZR, Lam V, Rashid FZM, Glass JI, Villa E, Dame RT, Luthey-Schulten Z. Generating Chromosome Geometries in a Minimal Cell From Cryo-Electron Tomograms and Chromosome Conformation Capture Maps. Front Mol Biosci 2021; 8:644133. [PMID: 34368224 PMCID: PMC8339304 DOI: 10.3389/fmolb.2021.644133] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Accepted: 05/14/2021] [Indexed: 12/31/2022] Open
Abstract
JCVI-syn3A is a genetically minimal bacterial cell, consisting of 493 genes and only a single 543 kbp circular chromosome. Syn3A’s genome and physical size are approximately one-tenth those of the model bacterial organism Escherichia coli’s, and the corresponding reduction in complexity and scale provides a unique opportunity for whole-cell modeling. Previous work established genome-scale gene essentiality and proteomics data along with its essential metabolic network and a kinetic model of genetic information processing. In addition to that information, whole-cell, spatially-resolved kinetic models require cellular architecture, including spatial distributions of ribosomes and the circular chromosome’s configuration. We reconstruct cellular architectures of Syn3A cells at the single-cell level directly from cryo-electron tomograms, including the ribosome distributions. We present a method of generating self-avoiding circular chromosome configurations in a lattice model with a resolution of 11.8 bp per monomer on a 4 nm cubic lattice. Realizations of the chromosome configurations are constrained by the ribosomes and geometry reconstructed from the tomograms and include DNA loops suggested by experimental chromosome conformation capture (3C) maps. Using ensembles of simulated chromosome configurations we predict chromosome contact maps for Syn3A cells at resolutions of 250 bp and greater and compare them to the experimental maps. Additionally, the spatial distributions of ribosomes and the DNA-crowding resulting from the individual chromosome configurations can be used to identify macromolecular structures formed from ribosomes and DNA, such as polysomes and expressomes.
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Affiliation(s)
- Benjamin R Gilbert
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Zane R Thornburg
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Vinson Lam
- Division of Biological Sciences, University of California San Diego, San Diego, CA, United States
| | - Fatema-Zahra M Rashid
- Leiden Institute of Chemistry, Leiden University, Leiden, Netherlands.,Center for Microbial Cell Biology, Leiden University, Leiden, Netherlands
| | - John I Glass
- Synthetic Biology Group, J. Craig Venter Institute, La Jolla, CA, United States
| | - Elizabeth Villa
- Division of Biological Sciences, University of California San Diego, San Diego, CA, United States
| | - Remus T Dame
- Leiden Institute of Chemistry, Leiden University, Leiden, Netherlands.,Center for Microbial Cell Biology, Leiden University, Leiden, Netherlands
| | - Zaida Luthey-Schulten
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, United States
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7
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Lachance J, Matteau D, Brodeur J, Lloyd CJ, Mih N, King ZA, Knight TF, Feist AM, Monk JM, Palsson BO, Jacques P, Rodrigue S. Genome-scale metabolic modeling reveals key features of a minimal gene set. Mol Syst Biol 2021; 17:e10099. [PMID: 34288418 PMCID: PMC8290834 DOI: 10.15252/msb.202010099] [Citation(s) in RCA: 12] [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: 11/16/2020] [Revised: 06/18/2021] [Accepted: 06/22/2021] [Indexed: 12/19/2022] Open
Abstract
Mesoplasma florum, a fast-growing near-minimal organism, is a compelling model to explore rational genome designs. Using sequence and structural homology, the set of metabolic functions its genome encodes was identified, allowing the reconstruction of a metabolic network representing ˜ 30% of its protein-coding genes. Growth medium simplification enabled substrate uptake and product secretion rate quantification which, along with experimental biomass composition, were integrated as species-specific constraints to produce the functional iJL208 genome-scale model (GEM) of metabolism. Genome-wide expression and essentiality datasets as well as growth data on various carbohydrates were used to validate and refine iJL208. Discrepancies between model predictions and observations were mechanistically explained using protein structures and network analysis. iJL208 was also used to propose an in silico reduced genome. Comparing this prediction to the minimal cell JCVI-syn3.0 and its parent JCVI-syn1.0 revealed key features of a minimal gene set. iJL208 is a stepping-stone toward model-driven whole-genome engineering.
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Affiliation(s)
| | - Dominick Matteau
- Département de BiologieUniversité de SherbrookeSherbrookeQCCanada
| | - Joëlle Brodeur
- Département de BiologieUniversité de SherbrookeSherbrookeQCCanada
| | - Colton J Lloyd
- Department of BioengineeringUniversity of CaliforniaSan Diego, La JollaCAUSA
| | - Nathan Mih
- Department of BioengineeringUniversity of CaliforniaSan Diego, La JollaCAUSA
| | - Zachary A King
- Department of BioengineeringUniversity of CaliforniaSan Diego, La JollaCAUSA
| | | | - Adam M Feist
- Department of BioengineeringUniversity of CaliforniaSan Diego, La JollaCAUSA
- Department of PediatricsUniversity of CaliforniaSan Diego, La JollaCAUSA
| | - Jonathan M Monk
- Department of BioengineeringUniversity of CaliforniaSan Diego, La JollaCAUSA
| | - Bernhard O Palsson
- Department of BioengineeringUniversity of CaliforniaSan Diego, La JollaCAUSA
- Department of PediatricsUniversity of CaliforniaSan Diego, La JollaCAUSA
- Bioinformatics and Systems Biology ProgramUniversity of CaliforniaSan Diego, La JollaCAUSA
- Novo Nordisk Foundation Center for BiosustainabilityTechnical University of DenmarkLyngbyDenmark
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8
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Lalanne J, Parker DJ, Li G. Spurious regulatory connections dictate the expression-fitness landscape of translation factors. Mol Syst Biol 2021; 17:e10302. [PMID: 33900014 PMCID: PMC8073009 DOI: 10.15252/msb.202110302] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 03/12/2021] [Accepted: 03/16/2021] [Indexed: 12/21/2022] Open
Abstract
During steady-state cell growth, individual enzymatic fluxes can be directly inferred from growth rate by mass conservation, but the inverse problem remains unsolved. Perturbing the flux and expression of a single enzyme could have pleiotropic effects that may or may not dominate the impact on cell fitness. Here, we quantitatively dissect the molecular and global responses to varied expression of translation termination factors (peptide release factors, RFs) in the bacterium Bacillus subtilis. While endogenous RF expression maximizes proliferation, deviations in expression lead to unexpected distal regulatory responses that dictate fitness reduction. Molecularly, RF depletion causes expression imbalance at specific operons, which activates master regulators and detrimentally overrides the transcriptome. Through these spurious connections, RF abundances are thus entrenched by focal points within the regulatory network, in one case located at a single stop codon. Such regulatory entrenchment suggests that predictive bottom-up models of expression-fitness landscapes will require near-exhaustive characterization of parts.
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Affiliation(s)
- Jean‐Benoît Lalanne
- Department of BiologyMassachusetts Institute of TechnologyCambridgeMAUSA
- Department of PhysicsMassachusetts Institute of TechnologyCambridgeMAUSA
- Present address:
Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
| | - Darren J Parker
- Department of BiologyMassachusetts Institute of TechnologyCambridgeMAUSA
- Present address:
Biosciences DivisionOak Ridge National LaboratoryOak RidgeTNUSA
| | - Gene‐Wei Li
- Department of BiologyMassachusetts Institute of TechnologyCambridgeMAUSA
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9
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Matteau D, Lachance J, Grenier F, Gauthier S, Daubenspeck JM, Dybvig K, Garneau D, Knight TF, Jacques P, Rodrigue S. Integrative characterization of the near-minimal bacterium Mesoplasma florum. Mol Syst Biol 2020; 16:e9844. [PMID: 33331123 PMCID: PMC7745072 DOI: 10.15252/msb.20209844] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 11/02/2020] [Accepted: 11/03/2020] [Indexed: 12/11/2022] Open
Abstract
The near-minimal bacterium Mesoplasma florum is an interesting model for synthetic genomics and systems biology due to its small genome (~ 800 kb), fast growth rate, and lack of pathogenic potential. However, fundamental aspects of its biology remain largely unexplored. Here, we report a broad yet remarkably detailed characterization of M. florum by combining a wide variety of experimental approaches. We investigated several physical and physiological parameters of this bacterium, including cell size, growth kinetics, and biomass composition of the cell. We also performed the first genome-wide analysis of its transcriptome and proteome, notably revealing a conserved promoter motif, the organization of transcription units, and the transcription and protein expression levels of all protein-coding sequences. We converted gene transcription and expression levels into absolute molecular abundances using biomass quantification results, generating an unprecedented view of the M. florum cellular composition and functions. These characterization efforts provide a strong experimental foundation for the development of a genome-scale model for M. florum and will guide future genome engineering endeavors in this simple organism.
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Affiliation(s)
- Dominick Matteau
- Département de biologieUniversité de SherbrookeSherbrookeQCCanada
| | | | - Frédéric Grenier
- Département de biologieUniversité de SherbrookeSherbrookeQCCanada
| | - Samuel Gauthier
- Département de biologieUniversité de SherbrookeSherbrookeQCCanada
| | | | - Kevin Dybvig
- Department of GeneticsUniversity of Alabama at BirminghamBirminghamALUSA
| | - Daniel Garneau
- Département de biologieUniversité de SherbrookeSherbrookeQCCanada
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