151
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Laurent JM, Fu X, German S, Maurano MT, Zhang K, Boeke JD. Big DNA as a tool to dissect an age-related macular degeneration-associated haplotype. PRECISION CLINICAL MEDICINE 2019; 2:1-7. [PMID: 30944767 PMCID: PMC6432742 DOI: 10.1093/pcmedi/pby019] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Accepted: 12/24/2018] [Indexed: 11/13/2022] Open
Abstract
Age-related Macular Degeneration (AMD) is a leading cause of blindness in the developed world, especially in aging populations, and is therefore an important target for new therapeutic development. Recently, there have been several studies demonstrating strong associations between AMD and sites of heritable genetic variation at multiple loci, including a highly significant association at 10q26. The 10q26 risk region contains two genes, HTRA1 and ARMS2, both of which have been separately implicated as causative for the disease, as well as dozens of sites of non-coding variation. To date, no studies have successfully pinpointed which of these variant sites are functional in AMD, nor definitively identified which genes in the region are targets of such regulatory variation. In order to efficiently decipher which sites are functional in AMD phenotypes, we describe a general framework for combinatorial assembly of large ‘synthetic haplotypes’ along with delivery to relevant disease cell types for downstream functional analysis. We demonstrate the successful and highly efficient assembly of a first-draft 119kb wild-type ‘assemblon’ covering the HTRA1/ARMS2 risk region. We further propose the parallelized assembly of a library of combinatorial variant synthetic haplotypes covering the region, delivery and analysis of which will identify functional sites and their effects, leading to an improved understanding of AMD development. We anticipate that the methodology proposed here is highly generalizable towards the difficult problem of identifying truly functional variants from those discovered via GWAS or other genetic association studies.
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Affiliation(s)
- Jon M Laurent
- Institute for Systems Genetics.,Department of Biochemistry and Molecular Pathology
| | - Xin Fu
- Shiley Eye Institute, UCSD School of Medicine
| | - Sergei German
- Institute for Systems Genetics.,Department of Biochemistry and Molecular Pathology
| | - Matthew T Maurano
- Institute for Systems Genetics.,Department of Pathology, NYU Langone Health
| | - Kang Zhang
- Shiley Eye Institute, UCSD School of Medicine
| | - Jef D Boeke
- Institute for Systems Genetics.,Department of Biochemistry and Molecular Pathology
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152
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Blount BA, Ellis T. The Synthetic Genome Summer Course. Synth Biol (Oxf) 2018; 3:ysy020. [PMID: 32995526 PMCID: PMC7445779 DOI: 10.1093/synbio/ysy020] [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] [Received: 09/03/2018] [Revised: 11/02/2018] [Accepted: 11/09/2018] [Indexed: 12/04/2022] Open
Abstract
The Synthetic Genome Summer Course was convened with the aim of teaching a wide range of researchers the theory and practical skills behind recent advances in synthetic biology and synthetic genome science, with a focus on Sc2.0, the synthetic yeast genome project. Through software workshops, tutorials and research talks from leading members of the field, the 30 attendees learnt about relevant principles and techniques that they were then able to implement first-hand in laboratory-based practical sessions. Participants SCRaMbLEd semi-synthetic yeast strains to diversify heterologous pathways, used automation to build combinatorial pathway libraries and used CRISPR to debug fitness defects caused by synthetic chromosome design changes. Societal implications of synthetic chromosomes were explored and industrial stakeholders discussed synthetic biology from a commercial standpoint. Over the 5 days, participants gained valuable insight and acquired skills to aid them in future synthetic genome research.
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Affiliation(s)
- Benjamin A Blount
- Imperial College Centre for Synthetic Biology, Imperial College London, London, UK
- Department of Bioengineering, Imperial College London, London, UK
| | - Tom Ellis
- Imperial College Centre for Synthetic Biology, Imperial College London, London, UK
- Department of Bioengineering, Imperial College London, London, UK
- Corresponding author: E-mail:
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153
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Whole genome engineering by synthesis. SCIENCE CHINA-LIFE SCIENCES 2018; 61:1515-1527. [PMID: 30465231 DOI: 10.1007/s11427-018-9403-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 08/31/2018] [Indexed: 01/12/2023]
Abstract
Whole genome engineering is now feasible with the aid of genome editing and synthesis tools. Synthesizing a genome from scratch allows modifications of the genomic structure and function to an extent that was hitherto not possible, which will finally lead to new insights into the basic principles of life and enable valuable applications. With several recent genome synthesis projects as examples, the technical details to synthesize a genome and applications of synthetic genome are addressed in this perspective. A series of ongoing or future synthetic genomics projects, including the different genomes to be synthesized in GP-write, synthetic minimal genome, massively recoded genome, chimeric genome and synthetic genome with expanded genetic alphabet, are also discussed here with a special focus on theoretical and technical impediments in the design and synthesis process. Synthetic genomics will become a commonplace to engineer pathways and genomes according to arbitrary sets of design principles with the development of high-efficient, low-cost genome synthesis and assembly technologies.
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154
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155
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156
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Celińska E, Nicaud JM. Filamentous fungi-like secretory pathway strayed in a yeast system: peculiarities of Yarrowia lipolytica secretory pathway underlying its extraordinary performance. Appl Microbiol Biotechnol 2018; 103:39-52. [PMID: 30353423 PMCID: PMC6311201 DOI: 10.1007/s00253-018-9450-2] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Revised: 10/09/2018] [Accepted: 10/10/2018] [Indexed: 12/22/2022]
Abstract
Microbial production of secretory proteins constitutes one of the key branches of current industrial biotechnology, earning billion dollar (USD) revenues each year. That industrial branch strongly relies on fluent operation of the secretory machinery within a microbial cell. The secretory machinery, directing the nascent polypeptide to its final destination, constitutes a highly complex system located across the eukaryotic cell. Numerous molecular identities of diverse structure and function not only build the advanced network assisting folding, maturation and secretion of polypeptides but also serve as sensors and effectors of quality control points. All these events must be harmoniously orchestrated to enable fluent processing of the protein traffic. Availability of these elements is considered to be the limiting factor determining capacity of protein traffic, which is of crucial importance upon biotechnological production of secretory proteins. The main purpose of this work is to review and discuss findings concerning secretory machinery operating in a non-conventional yeast species, Yarrowia lipolytica, and to highlight peculiarities of this system prompting its use as the production host. The reviewed literature supports the thesis that secretory machinery in Y. lipolytica is characterized by significantly higher complexity than a canonical yeast protein secretion pathway, making it more similar to filamentous fungi-like systems in this regard.
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Affiliation(s)
- Ewelina Celińska
- Department of Biotechnology and Food Microbiology, Poznan University of Life Sciences, ul. Wojska Polskiego 48, 60-627, Poznań, Poland.
| | - Jean-Marc Nicaud
- INRA-AgroParisTech, UMR1319, Team BIMLip: Integrative Metabolism of Microbial Lipids, Micalis Institute, Domaine de Vilvert, 78352, Jouy-en-Josas, France
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157
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Affiliation(s)
- Volker Thiel
- Department of Infectious Diseases and Pathobiology, University of Bern, Bern, Switzerland
- Federal Department of Home Affairs, Institute of Virology and Immunology, Bern and Mittelhäusern, Switzerland
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158
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Abstract
The recent de novo assembly of horsepox is an instructive example of an information hazard: published methods enabling poxvirus synthesis led to media coverage spelling out the implications, efficiently disseminating true information that might be used to cause harm. Whether or not the benefits justified the risks, the horsepox saga provides ample reason to upgrade the current system for screening synthesized DNA for hazardous sequences, which does not cover the majority of firms and cannot reliably prevent the assembly of potentially pandemic pathogens. An upgraded system might leverage one-way encryption to confidentially scrutinize virtually all commercial production by a cooperative international network of servers whose integrity can be verified by third parties. Funders could support participating institutions to ease the transition or outright subsidize the market to make clean DNA cheaper, while boycotts by journals, institutions, and funders could ensure compliance and require hardware-level locks on future DNA synthesizers. However, the underlying problem is that security and safety discussions among experts typically follow potentially hazardous events rather than anticipating them. Changing norms and incentives to favor preregistration and advisory peer review of planned experiments could test alternatives to the current closeted research model in select areas of science. Because the fields of synthetic mammalian virology and especially gene drive research involve technologies that could be unilaterally deployed and may self-replicate in the wild, they are compelling candidates for initial trials of early-stage peer review.
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Affiliation(s)
- Kevin M. Esvelt
- MIT Media Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- * E-mail:
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159
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Schindler D, Dai J, Cai Y. Synthetic genomics: a new venture to dissect genome fundamentals and engineer new functions. Curr Opin Chem Biol 2018; 46:56-62. [PMID: 29751161 PMCID: PMC6351456 DOI: 10.1016/j.cbpa.2018.04.002] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Revised: 04/05/2018] [Accepted: 04/09/2018] [Indexed: 12/17/2022]
Abstract
Since the first synthetic gene was synthesized in 1970s, the efficiency and the capacity of made-to-order DNA sequence synthesis has increased by several orders of magnitude. Advances in DNA synthesis and assembly over the past years has resulted in a steep drop in price for custom made DNA. Similar effects were observed in DNA sequencing technologies which underpin DNA-reading projects. Today, synthetic DNA sequences with more than 10000bps and turn-around times of a few weeks are commercially available. This enables researchers to perform large-scale projects to write synthetic chromosomes and characterize their functionalities in vivo. Synthetic genomics opens up new paradigms to study the genome fundamentals and engineer novel biological functions.
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Affiliation(s)
- Daniel Schindler
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, M1 7DN Manchester, UK
| | - Junbiao Dai
- Centre for Synthetic Genomics, Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Yizhi Cai
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, M1 7DN Manchester, UK; Centre for Synthetic Genomics, Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
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160
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161
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Gurumurthy CB, Perez-Pinera P. Technological advances in integrating multi-kilobase DNA sequences into genomes. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2018. [DOI: 10.1016/j.cobme.2018.08.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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162
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Nielsen AAK, Voigt CA. Deep learning to predict the lab-of-origin of engineered DNA. Nat Commun 2018; 9:3135. [PMID: 30087331 PMCID: PMC6081423 DOI: 10.1038/s41467-018-05378-z] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2017] [Accepted: 06/28/2018] [Indexed: 12/26/2022] Open
Abstract
Genetic engineering projects are rapidly growing in scale and complexity, driven by new tools to design and construct DNA. There is increasing concern that widened access to these technologies could lead to attempts to construct cells for malicious intent, illegal drug production, or to steal intellectual property. Determining the origin of a DNA sequence is difficult and time-consuming. Here deep learning is applied to predict the lab-of-origin of a DNA sequence. A convolutional neural network was trained on the Addgene plasmid dataset that contained 42,364 engineered DNA sequences from 2230 labs as of February 2016. The network correctly identifies the source lab 48% of the time and 70% it appears in the top 10 predicted labs. Often, there is not a single "smoking gun" that affiliates a DNA sequence with a lab. Rather, it is a combination of design choices that are individually common but collectively reveal the designer.
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Affiliation(s)
- Alec A K Nielsen
- Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Christopher A Voigt
- Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
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163
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Bally J, Fishilevich E, Bowling AJ, Pence HE, Narva KE, Waterhouse PM. Improved insect-proofing: expressing double-stranded RNA in chloroplasts. PEST MANAGEMENT SCIENCE 2018; 74:1751-1758. [PMID: 29377554 PMCID: PMC6055657 DOI: 10.1002/ps.4870] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Revised: 01/19/2018] [Accepted: 01/19/2018] [Indexed: 05/11/2023]
Abstract
RNA interference (RNAi) was discovered almost 20 years ago and has been exploited worldwide to silence genes in plants and animals. A decade later, it was found that transforming plants with an RNAi construct targeting an insect gene could protect the plant against feeding by that insect. Production of double-stranded RNA (dsRNA) in a plant to affect the viability of a herbivorous animal is termed trans-kingdom RNAi (TK-RNAi). Since this pioneering work, there have been many further examples of successful TK-RNAi, but also reports of failed attempts and unrepeatable experiments. Recently, three laboratories have shown that producing dsRNA in a plant's chloroplast, rather than in its cellular cytoplasm, is a very effective way of delivering TK-RNAi. Our review examines this potentially game-changing approach and compares it with other transgenic insect-proofing schemes. © 2018 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
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Affiliation(s)
- Julia Bally
- Centre for Tropical Crops and BiocommoditiesQUT, Brisbane, QLDAustralia
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164
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Designing with living systems in the synthetic yeast project. Nat Commun 2018; 9:2950. [PMID: 30054478 PMCID: PMC6063962 DOI: 10.1038/s41467-018-05332-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Accepted: 06/28/2018] [Indexed: 11/08/2022] Open
Abstract
Synthetic biology is challenged by the complexity and the unpredictability of living systems. While one response to this complexity involves simplifying cells to create more fully specified systems, another approach utilizes directed evolution, releasing some control and using unpredictable change to achieve design goals. Here we discuss SCRaMbLE, employed in the synthetic yeast project, as an example of synthetic biology design through working with living systems. SCRaMbLE is a designed tool without being a design tool, harnessing the activities of the yeast rather than relying entirely on scientists’ deliberate choices. We suggest that directed evolution at the level of the whole organism allows scientists and microorganisms to “collaborate” to achieve design goals, suggesting new directions for synthetic biology. Synthetic biology often views the organism as a chassis into which a circuit can be inserted. Here the authors explore the idea of the organism as a core aspect of design, aiding researchers in navigating the genetic space opened up by SCRaMbLE.
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165
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Synthetic biology toolkits and applications in Saccharomyces cerevisiae. Biotechnol Adv 2018; 36:1870-1881. [PMID: 30031049 DOI: 10.1016/j.biotechadv.2018.07.005] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 07/10/2018] [Accepted: 07/16/2018] [Indexed: 12/26/2022]
Abstract
Synthetic biologists construct biological components and systems to look into biological phenomena and drive a myriad of practical applications that aim to tackle current global challenges in energy, healthcare and the environment. While most tools have been established in bacteria, particularly Escherichia coli, recent years have seen parallel developments in the model yeast strain Saccharomyces cerevisiae, one of the most well-understood eukaryotic biological system. Here, we outline the latest advances in yeast synthetic biology tools based on a framework of abstraction hierarchies of parts, circuits and genomes. In brief, the creation and characterization of biological parts are explored at the transcriptional, translational and post-translational levels. Using characterized parts as building block units, the designing of functional circuits is elaborated with examples. In addition, the status and potential applications of synthetic genomes as a genome level platform for biological system construction are also discussed. In addition to the development of a toolkit, we describe how those tools have been applied in the areas of drug production and screening, study of disease mechanisms, pollutant sensing and bioremediation. Finally, we provide a future outlook of yeast as a workhorse of eukaryotic genetics and a chosen chassis in this field.
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166
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The Smell of Synthetic Biology: Engineering Strategies for Aroma Compound Production in Yeast. FERMENTATION-BASEL 2018. [DOI: 10.3390/fermentation4030054] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Yeast—especially Saccharomyces cerevisiae—have long been a preferred workhorse for the production of numerous recombinant proteins and other metabolites. S. cerevisiae is a noteworthy aroma compound producer and has also been exploited to produce foreign bioflavour compounds. In the past few years, important strides have been made in unlocking the key elements in the biochemical pathways involved in the production of many aroma compounds. The expression of these biochemical pathways in yeast often involves the manipulation of the host strain to direct the flux towards certain precursors needed for the production of the given aroma compound. This review highlights recent advances in the bioengineering of yeast—including S. cerevisiae—to produce aroma compounds and bioflavours. To capitalise on recent advances in synthetic yeast genomics, this review presents yeast as a significant producer of bioflavours in a fresh context and proposes new directions for combining engineering and biology principles to improve the yield of targeted aroma compounds.
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167
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Muller H, Scolari VF, Agier N, Piazza A, Thierry A, Mercy G, Descorps-Declere S, Lazar-Stefanita L, Espeli O, Llorente B, Fischer G, Mozziconacci J, Koszul R. Characterizing meiotic chromosomes' structure and pairing using a designer sequence optimized for Hi-C. Mol Syst Biol 2018; 14:e8293. [PMID: 30012718 PMCID: PMC6047084 DOI: 10.15252/msb.20188293] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 06/18/2018] [Accepted: 06/20/2018] [Indexed: 12/29/2022] Open
Abstract
In chromosome conformation capture experiments (Hi-C), the accuracy with which contacts are detected varies due to the uneven distribution of restriction sites along genomes. In addition, repeated sequences or homologous regions remain indistinguishable because of the ambiguities they introduce during the alignment of the sequencing reads. We addressed both limitations by designing and engineering 144 kb of a yeast chromosome with regularly spaced restriction sites (Syn-HiC design). In the Syn-HiC region, Hi-C signal-to-noise ratio is enhanced and can be used to measure the shape of an unbiased distribution of contact frequencies, allowing to propose a robust definition of a Hi-C experiment resolution. The redesigned region is also distinguishable from its native homologous counterpart in an otherwise isogenic diploid strain. As a proof of principle, we tracked homologous chromosomes during meiotic prophase in synchronized and pachytene-arrested cells and captured important features of their spatial reorganization, such as chromatin restructuration into arrays of Rec8-delimited loops, centromere declustering, individualization, and pairing. Overall, we illustrate the promises held by redesigning genomic regions to explore complex biological questions.
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Affiliation(s)
- Héloïse Muller
- Department Genomes and Genetics, Groupe Régulation Spatiale des Génomes, Institut Pasteur, Paris, France
- CNRS, UMR 3525, Paris, France
- Center of Bioinformatics, Biostatistics and Integrative Biology (C3BI), Institut Pasteur, Paris, France
| | - Vittore F Scolari
- Department Genomes and Genetics, Groupe Régulation Spatiale des Génomes, Institut Pasteur, Paris, France
- CNRS, UMR 3525, Paris, France
- Center of Bioinformatics, Biostatistics and Integrative Biology (C3BI), Institut Pasteur, Paris, France
| | - Nicolas Agier
- Laboratory of Computational and Quantitative Biology, CNRS, Institut de Biologie Paris-Seine, Sorbonne Université, Paris, France
| | - Aurèle Piazza
- Department Genomes and Genetics, Groupe Régulation Spatiale des Génomes, Institut Pasteur, Paris, France
- CNRS, UMR 3525, Paris, France
- Center of Bioinformatics, Biostatistics and Integrative Biology (C3BI), Institut Pasteur, Paris, France
| | - Agnès Thierry
- Department Genomes and Genetics, Groupe Régulation Spatiale des Génomes, Institut Pasteur, Paris, France
- CNRS, UMR 3525, Paris, France
- Center of Bioinformatics, Biostatistics and Integrative Biology (C3BI), Institut Pasteur, Paris, France
| | - Guillaume Mercy
- Department Genomes and Genetics, Groupe Régulation Spatiale des Génomes, Institut Pasteur, Paris, France
- CNRS, UMR 3525, Paris, France
- Center of Bioinformatics, Biostatistics and Integrative Biology (C3BI), Institut Pasteur, Paris, France
| | - Stéphane Descorps-Declere
- Center of Bioinformatics, Biostatistics and Integrative Biology (C3BI), Institut Pasteur, Paris, France
| | - Luciana Lazar-Stefanita
- Department Genomes and Genetics, Groupe Régulation Spatiale des Génomes, Institut Pasteur, Paris, France
- CNRS, UMR 3525, Paris, France
- Center of Bioinformatics, Biostatistics and Integrative Biology (C3BI), Institut Pasteur, Paris, France
| | - Olivier Espeli
- Centre Interdisciplinaire de Recherche en Biologie, Collège de France, UMR-CNRS 7241, INSERM U1050, Paris, France
| | - Bertrand Llorente
- Cancer Research Center of Marseille, CNRS UMR7258, Inserm U1068, Institut Paoli-Calmettes, Aix-Marseille Université UM105, Marseille, France
| | - Gilles Fischer
- Laboratory of Computational and Quantitative Biology, CNRS, Institut de Biologie Paris-Seine, Sorbonne Université, Paris, France
| | - Julien Mozziconacci
- Theoretical Physics for Condensed Matter Lab, CNRS UMR 7600, Sorbonne Universités, UPMC University Paris 06, Paris, France
| | - Romain Koszul
- Department Genomes and Genetics, Groupe Régulation Spatiale des Génomes, Institut Pasteur, Paris, France
- CNRS, UMR 3525, Paris, France
- Center of Bioinformatics, Biostatistics and Integrative Biology (C3BI), Institut Pasteur, Paris, France
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168
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Walker RSK, Pretorius IS. Applications of Yeast Synthetic Biology Geared towards the Production of Biopharmaceuticals. Genes (Basel) 2018; 9:E340. [PMID: 29986380 PMCID: PMC6070867 DOI: 10.3390/genes9070340] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Revised: 07/01/2018] [Accepted: 07/02/2018] [Indexed: 12/18/2022] Open
Abstract
Engineered yeast are an important production platform for the biosynthesis of high-value compounds with medical applications. Recent years have witnessed several new developments in this area, largely spurred by advances in the field of synthetic biology and the elucidation of natural metabolic pathways. This minireview presents an overview of synthetic biology applications for the heterologous biosynthesis of biopharmaceuticals in yeast and demonstrates the power and potential of yeast cell factories by highlighting several recent examples. In addition, an outline of emerging trends in this rapidly-developing area is discussed, hinting upon the potential state-of-the-art in the years ahead.
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Affiliation(s)
- Roy S K Walker
- Department of Molecular Sciences, Macquarie University, Sydney 2109, Australia.
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169
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Walker GM, Walker RSK. Enhancing Yeast Alcoholic Fermentations. ADVANCES IN APPLIED MICROBIOLOGY 2018; 105:87-129. [PMID: 30342724 DOI: 10.1016/bs.aambs.2018.05.003] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The production of ethanol by yeast fermentation represents the largest of all global biotechnologies. Consequently, the yeast Saccharomyces cerevisiae is the world's premier industrial microorganism, which is responsible not only for the production of alcoholic beverages, including beer, wine, and distilled spirits, but also for the billions of liters of bioethanol produced annually for use as a renewable transportation fuel. Although humankind has exploited the fermentative activities of yeasts for millennia, many aspects of alcohol fermentation remain poorly understood. This chapter will review some of the key considerations in optimizing industrial alcohol fermentations with a particular emphasis on enhancement opportunities involving cell physiology and strain engineering of the major microbial ethanologen, the yeast S. cerevisiae.
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Affiliation(s)
- Graeme M Walker
- School of Science, Engineering & Technology, Abertay University, Dundee, Scotland, United Kingdom
| | - Roy S K Walker
- Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia
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170
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Martínez O, Reyes-Valdés MH. On an algorithmic definition for the components of the minimal cell. PLoS One 2018; 13:e0198222. [PMID: 29856803 PMCID: PMC5983409 DOI: 10.1371/journal.pone.0198222] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 05/15/2018] [Indexed: 11/19/2022] Open
Abstract
Living cells are highly complex systems comprising a multitude of elements that are engaged in the many convoluted processes observed during the cell cycle. However, not all elements and processes are essential for cell survival and reproduction under steady-state environmental conditions. To distinguish between essential from expendable cell components and thus define the ‘minimal cell’ and the corresponding ‘minimal genome’, we postulate that the synthesis of all cell elements can be represented as a finite set of binary operators, and within this framework we show that cell elements that depend on their previous existence to be synthesized are those that are essential for cell survival. An algorithm to distinguish essential cell elements is presented and demonstrated within an interactome. Data and functions implementing the algorithm are given as supporting information. We expect that this algorithmic approach will lead to the determination of the complete interactome of the minimal cell, which could then be experimentally validated. The assumptions behind this hypothesis as well as its consequences for experimental and theoretical biology are discussed.
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Affiliation(s)
- Octavio Martínez
- Unidad de Genómica Avanzada, Laboratorio Nacional de Genómica para la Biodiversidad (LANGEBIO), Centro de Investigación y Estudios Avanzados del Instituto Politécnico Nacional, Irapuato, Guanajuato, México
- * E-mail:
| | - M. Humberto Reyes-Valdés
- Graduate Program on Plant Genetic Resources for Arid Lands, Universidad Autónoma Agraria Antonio Narro, Saltillo, Coahuila, México
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171
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Pretorius IS, Boeke JD. Yeast 2.0-connecting the dots in the construction of the world's first functional synthetic eukaryotic genome. FEMS Yeast Res 2018; 18:4939478. [PMID: 29648592 PMCID: PMC5894084 DOI: 10.1093/femsyr/foy032] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Accepted: 03/15/2018] [Indexed: 12/12/2022] Open
Abstract
Historians of the future may well describe 2018 as the year that the world's first functional synthetic eukaryotic genome became a reality. Without the benefit of hindsight, it might be hard to completely grasp the long-term significance of a breakthrough moment in the history of science like this. The role of synthetic biology in the imminent birth of a budding Saccharomyces cerevisiae yeast cell carrying 16 man-made chromosomes causes the world of science to teeter on the threshold of a future-defining scientific frontier. The genome-engineering tools and technologies currently being developed to produce the ultimate yeast genome will irreversibly connect the dots between our improved understanding of the fundamentals of a complex cell containing its DNA in a specialised nucleus and the application of bioengineered eukaryotes designed for advanced biomanufacturing of beneficial products. By joining up the dots between the findings and learnings from the international Synthetic Yeast Genome project (known as the Yeast 2.0 or Sc2.0 project) and concurrent advancements in biodesign tools and smart data-intensive technologies, a future world powered by a thriving bioeconomy seems realistic. This global project demonstrates how a collaborative network of dot connectors-driven by a tinkerer's indomitable curiosity to understand how things work inside a eukaryotic cell-are using cutting-edge biodesign concepts and synthetic biology tools to advance science and to positively frame human futures (i.e. improved quality of life) in a planetary context (i.e. a sustainable environment). Explorations such as this have a rich history of resulting in unexpected discoveries and unanticipated applications for the benefit of people and planet. However, we must learn from past explorations into controversial futuristic sciences and ensure that researchers at the forefront of an emerging science such as synthetic biology remain connected to all stakeholders' concerns about the biosafety, bioethics and regulatory aspects of their pioneering work. This article presents a shared vision of constructing a synthetic eukaryotic genome in a safe model organism by using novel concepts and advanced technologies. This multidisciplinary and collaborative project is conducted under a sound governance structure that does not only respect the scientific achievements and lessons from the past, but that is also focussed on leading the present and helping to secure a brighter future for all.
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Affiliation(s)
- I S Pretorius
- Chancellery, Macquarie University, Sydney, NSW 2109, Australia
| | - J D Boeke
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
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172
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Blount BA, Gowers GOF, Ho JCH, Ledesma-Amaro R, Jovicevic D, McKiernan RM, Xie ZX, Li BZ, Yuan YJ, Ellis T. Rapid host strain improvement by in vivo rearrangement of a synthetic yeast chromosome. Nat Commun 2018; 9:1932. [PMID: 29789540 PMCID: PMC5964169 DOI: 10.1038/s41467-018-03143-w] [Citation(s) in RCA: 82] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Accepted: 01/23/2018] [Indexed: 11/21/2022] Open
Abstract
Synthetic biology tools, such as modular parts and combinatorial DNA assembly, are routinely used to optimise the productivity of heterologous metabolic pathways for biosynthesis or substrate utilisation, yet it is well established that host strain background is just as important for determining productivity. Here we report that in vivo combinatorial genomic rearrangement of Saccharomyces cerevisiae yeast with a synthetic chromosome V can rapidly generate new, improved host strains with genetic backgrounds favourable to diverse heterologous pathways, including those for violacein and penicillin biosynthesis and for xylose utilisation. We show how the modular rearrangement of synthetic chromosomes by SCRaMbLE can be easily determined using long-read nanopore sequencing and we explore experimental conditions that optimise diversification and screening. This synthetic genome approach to metabolic engineering provides productivity improvements in a fast, simple and accessible way, making it a valuable addition to existing strain improvement techniques. The Sc2.0 project has built the Synthetic Chromosome Rearrangement and Modification by LoxP-mediated Evolution (SCRaMbLE) system into their synthetic chromosomes. Here the authors use SCRaMbLE to rapidly develop, diversify and screen strains for diverse production and growth characteristics.
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Affiliation(s)
- B A Blount
- Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK.,Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - G-O F Gowers
- Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK.,Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - J C H Ho
- Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK.,Department of Life Sciences, Imperial College London, London, SW7 2AZ, UK
| | - R Ledesma-Amaro
- Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK.,Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - D Jovicevic
- Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK.,Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - R M McKiernan
- Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK.,Department of Life Sciences, Imperial College London, London, SW7 2AZ, UK
| | - Z X Xie
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, 300072, Tianjin, PR China.,SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin University, 300072, Tianjin, PR China
| | - B Z Li
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, 300072, Tianjin, PR China.,SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin University, 300072, Tianjin, PR China
| | - Y J Yuan
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, 300072, Tianjin, PR China.,SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin University, 300072, Tianjin, PR China
| | - T Ellis
- Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK. .,Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
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173
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Identifying and characterizing SCRaMbLEd synthetic yeast using ReSCuES. Nat Commun 2018; 9:1930. [PMID: 29789541 PMCID: PMC5964233 DOI: 10.1038/s41467-017-00806-y] [Citation(s) in RCA: 86] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2016] [Accepted: 07/28/2017] [Indexed: 11/15/2022] Open
Abstract
SCRaMbLE is a novel system implemented in the synthetic yeast genome, enabling massive chromosome rearrangements to produce strains with a large genotypic diversity upon induction. Here we describe a reporter of SCRaMbLEd cells using efficient selection, termed ReSCuES, based on a loxP-mediated switch of two auxotrophic markers. We show that all randomly isolated clones contained rearrangements within the synthetic chromosome, demonstrating high efficiency of selection. Using ReSCuES, we illustrate the ability of SCRaMbLE to generate strains with increased tolerance to several stress factors, such as ethanol, heat and acetic acid. Furthermore, by analyzing the tolerant strains, we are able to identify ACE2, a transcription factor required for septum destruction after cytokinesis, as a negative regulator of ethanol tolerance. Collectively, this work not only establishes a generic platform to rapidly identify strains of interest by SCRaMbLE, but also provides methods to dissect the underlying mechanisms of resistance. The use of synthetic chromosomes and the recombinase-based SCRaMbLE system could enable rapid strain evolution through massive chromosome rearrangements. Here the authors present ReSCuES, which uses auxotrophic markers to rapidly identify yeast with rearrangements for strain engineering.
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174
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L-SCRaMbLE as a tool for light-controlled Cre-mediated recombination in yeast. Nat Commun 2018; 9:1931. [PMID: 29789561 PMCID: PMC5964156 DOI: 10.1038/s41467-017-02208-6] [Citation(s) in RCA: 78] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Accepted: 11/13/2017] [Indexed: 11/24/2022] Open
Abstract
The synthetic yeast genome constructed by the International Synthetic Yeast Sc2.0 consortium adds thousands of loxPsym recombination sites to all 16 redesigned chromosomes, allowing the shuffling of Sc2.0 chromosome parts by the Cre-loxP recombination system thereby enabling genome evolution experiments. Here, we present L-SCRaMbLE, a light-controlled Cre recombinase for use in the yeast Saccharomyces cerevisiae. L-SCRaMbLE allows tight regulation of recombinase activity with up to 179-fold induction upon exposure to red light. The extent of recombination depends on induction time and concentration of the chromophore phycocyanobilin (PCB), which can be easily adjusted. The tool presented here provides improved recombination control over the previously reported estradiol-dependent SCRaMbLE induction system, mediating a larger variety of possible recombination events in SCRaMbLE-ing a reporter plasmid. Thereby, L-SCRaMbLE boosts the potential for further customization and provides a facile application for use in the S. cerevisiae genome re-engineering project Sc2.0 or in other recombination-based systems. The International Synthetic Yeast Sc2.0 project has built Cre recombinase sites into synthetic chromosomes, enabling rapid genome evolution. Here the authors demonstrate L-SCRaMbLE, a light-controlled recombinase tool with improved control over recombination events.
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175
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Abstract
The power of synthetic biology has enabled the expression of heterologous pathways in cells, as well as genome-scale synthesis projects. The complexity of biological networks makes rational de novo design a grand challenge. Introducing features that confer genetic flexibility is a powerful strategy for downstream engineering. Here we develop an in vitro method of DNA library construction based on structural variation to accomplish this goal. The "in vitro SCRaMbLE system" uses Cre recombinase mixed in a test tube with purified DNA encoding multiple loxPsym sites. Using a β-carotene pathway designed for expression in yeast as an example, we demonstrate top-down and bottom-up in vitro SCRaMbLE, enabling optimization of biosynthetic pathway flux via the rearrangement of relevant transcription units. We show that our system provides a straightforward way to correlate phenotype and genotype and is potentially amenable to biochemical optimization in ways that the in vivo system cannot achieve.
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176
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Precise control of SCRaMbLE in synthetic haploid and diploid yeast. Nat Commun 2018; 9:1933. [PMID: 29789567 PMCID: PMC5964104 DOI: 10.1038/s41467-018-03084-4] [Citation(s) in RCA: 103] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Accepted: 01/18/2018] [Indexed: 01/15/2023] Open
Abstract
Compatibility between host cells and heterologous pathways is a challenge for constructing organisms with high productivity or gain of function. Designer yeast cells incorporating the Synthetic Chromosome Rearrangement and Modification by LoxP-mediated Evolution (SCRaMbLE) system provide a platform for generating genotype diversity. Here we construct a genetic AND gate to enable precise control of the SCRaMbLE method to generate synthetic haploid and diploid yeast with desired phenotypes. The yield of carotenoids is increased to 1.5-fold by SCRaMbLEing haploid strains and we determine that the deletion of YEL013W is responsible for the increase. Based on the SCRaMbLEing in diploid strains, we develop a strategy called Multiplex SCRaMbLE Iterative Cycling (MuSIC) to increase the production of carotenoids up to 38.8-fold through 5 iterative cycles of SCRaMbLE. This strategy is potentially a powerful tool for increasing the production of bio-based chemicals and for mining deep knowledge. The SCRaMbLE system integrated into Sc2.0’s synthetic yeast chromosome project allows rapid strain evolution. Here the authors use a genetic logic gate to control induction of recombination in a haploid and diploid yeast carrying synthetic chromosomes.
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177
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Liu W, Luo Z, Wang Y, Pham NT, Tuck L, Pérez-Pi I, Liu L, Shen Y, French C, Auer M, Marles-Wright J, Dai J, Cai Y. Rapid pathway prototyping and engineering using in vitro and in vivo synthetic genome SCRaMbLE-in methods. Nat Commun 2018; 9:1936. [PMID: 29789543 PMCID: PMC5964202 DOI: 10.1038/s41467-018-04254-0] [Citation(s) in RCA: 83] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Accepted: 04/11/2018] [Indexed: 12/11/2022] Open
Abstract
Exogenous pathway optimization and chassis engineering are two crucial methods for heterologous pathway expression. The two methods are normally carried out step-wise and in a trial-and-error manner. Here we report a recombinase-based combinatorial method (termed "SCRaMbLE-in") to tackle both challenges simultaneously. SCRaMbLE-in includes an in vitro recombinase toolkit to rapidly prototype and diversify gene expression at the pathway level and an in vivo genome reshuffling system to integrate assembled pathways into the synthetic yeast genome while combinatorially causing massive genome rearrangements in the host chassis. A set of loxP mutant pairs was identified to maximize the efficiency of the in vitro diversification. Exemplar pathways of β-carotene and violacein were successfully assembled, diversified, and integrated using this SCRaMbLE-in method. High-throughput sequencing was performed on selected engineered strains to reveal the resulting genotype-to-phenotype relationships. The SCRaMbLE-in method proves to be a rapid, efficient, and universal method to fast track the cycle of engineering biology.
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Affiliation(s)
- Wei Liu
- School of Biological Sciences, The King's Buildings, University of Edinburgh, Edinburgh, EH9 3BF, UK
| | - Zhouqing Luo
- Center for Synthetic Genomics, Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China
| | - Yun Wang
- BGI-Shenzhen, Beishan Industrial Zone, 518083, Shenzhen, China.,China National GeneBank, BGI-Shenzhen, Jinsha Road, 518120, Shenzhen, China.,Guangdong Provincial Key Laboratory of Genome Read and Write, Jinsha Road, 518120, Shenzhen, China
| | - Nhan T Pham
- School of Biological Sciences, The King's Buildings, University of Edinburgh, Edinburgh, EH9 3BF, UK
| | - Laura Tuck
- School of Biological Sciences, The King's Buildings, University of Edinburgh, Edinburgh, EH9 3BF, UK
| | - Irene Pérez-Pi
- School of Biological Sciences, The King's Buildings, University of Edinburgh, Edinburgh, EH9 3BF, UK
| | - Longying Liu
- BGI-Shenzhen, Beishan Industrial Zone, 518083, Shenzhen, China.,China National GeneBank, BGI-Shenzhen, Jinsha Road, 518120, Shenzhen, China.,Guangdong Provincial Key Laboratory of Genome Read and Write, Jinsha Road, 518120, Shenzhen, China
| | - Yue Shen
- School of Biological Sciences, The King's Buildings, University of Edinburgh, Edinburgh, EH9 3BF, UK.,BGI-Shenzhen, Beishan Industrial Zone, 518083, Shenzhen, China.,China National GeneBank, BGI-Shenzhen, Jinsha Road, 518120, Shenzhen, China.,Guangdong Provincial Key Laboratory of Genome Read and Write, Jinsha Road, 518120, Shenzhen, China.,Manchester Institute of Biotechnology, University of Manchester, Manchester, M1 7DN, UK
| | - Chris French
- School of Biological Sciences, The King's Buildings, University of Edinburgh, Edinburgh, EH9 3BF, UK
| | - Manfred Auer
- School of Biological Sciences, The King's Buildings, University of Edinburgh, Edinburgh, EH9 3BF, UK.,Edinburgh Medical School, Biomedical Sciences, The King's Buildings, Edinburgh, EH9 3BF, UK
| | - Jon Marles-Wright
- School of Natural and Environmental Sciences, Devonshire Building, Newcastle University, Newcastle upon, Tyne, NE1 7RX, UK
| | - Junbiao Dai
- Center for Synthetic Genomics, Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China.
| | - Yizhi Cai
- Center for Synthetic Genomics, Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China. .,Manchester Institute of Biotechnology, University of Manchester, Manchester, M1 7DN, UK.
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178
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The new normal of structure/function studies in the era of CRISPR/Cas9. Biochem J 2018; 475:1635-1642. [PMID: 29764955 DOI: 10.1042/bcj20170025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 04/19/2018] [Accepted: 04/20/2018] [Indexed: 12/22/2022]
Abstract
Major advances in gene-editing technologies have enabled the rapid dissection of proteins in complex biological systems, facilitating biological experiments to complement biochemical studies with purified components. In this editorial, we highlight CRISPR/Cas9-based strategies to rapidly manipulate endogenous genes - strategies that have already transformed functional studies of proteins in metazoan systems. We further describe emerging tools using a catalytically dead version of Cas9 (dCas9) that do not cleave DNA, but can alter gene expression and/or local chromatin states, edit single nucleotide bases, and permit the visualization of specific genomic loci. Looking to the not-too-distant future, CRISPR/Cas9-based methodologies promise to lead to discoveries of new biology, opening the door for bold new synthetic biology platforms.
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179
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Fraczek MG, Naseeb S, Delneri D. History of genome editing in yeast. Yeast 2018; 35:361-368. [PMID: 29345746 PMCID: PMC5969250 DOI: 10.1002/yea.3308] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Accepted: 12/12/2017] [Indexed: 12/27/2022] Open
Abstract
For thousands of years humans have used the budding yeast Saccharomyces cerevisiae for the production of bread and alcohol; however, in the last 30-40 years our understanding of the yeast biology has dramatically increased, enabling us to modify its genome. Although S. cerevisiae has been the main focus of many research groups, other non-conventional yeasts have also been studied and exploited for biotechnological purposes. Our experiments and knowledge have evolved from recombination to high-throughput PCR-based transformations to highly accurate CRISPR methods in order to alter yeast traits for either research or industrial purposes. Since the release of the genome sequence of S. cerevisiae in 1996, the precise and targeted genome editing has increased significantly. In this 'Budding topic' we discuss the significant developments of genome editing in yeast, mainly focusing on Cre-loxP mediated recombination, delitto perfetto and CRISPR/Cas.
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Affiliation(s)
- Marcin G. Fraczek
- The University of Manchester, Faculty of Biology, Medicine and HealthManchester Institute of BiotechnologyManchesterM1 7DNUK
| | - Samina Naseeb
- The University of Manchester, Faculty of Biology, Medicine and HealthManchester Institute of BiotechnologyManchesterM1 7DNUK
| | - Daniela Delneri
- The University of Manchester, Faculty of Biology, Medicine and HealthManchester Institute of BiotechnologyManchesterM1 7DNUK
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180
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Hanson PK. Saccharomyces cerevisiae: A Unicellular Model Genetic Organism of Enduring Importance. ACTA ACUST UNITED AC 2018. [DOI: 10.1002/cpet.21] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Pamela K. Hanson
- Department of Biology, Birmingham-Southern College; Birmingham Alabama
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181
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Sands B, Burnaevskiy N, Yun SR, Crane MM, Kaeberlein M, Mendenhall A. A toolkit for DNA assembly, genome engineering and multicolor imaging for C. elegans. TRANSLATIONAL MEDICINE OF AGING 2018; 2:1-10. [PMID: 33693300 DOI: 10.1016/j.tma.2018.01.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
One way scientists can observe and quantify processes in living cells is to engineer the genomes of animals to express multiple fluorescent proteins and then quantify those signals by various imaging techniques. To allow our laboratories to confidently quantify mixed (overlapping) fluorescent signals for our studies in the basic biology of gene expression and aging in C. elegans, we developed a comprehensive toolkit for C. elegans that we describe here. The Toolkit consists of two components: 1) a series of vectors for DNA assembly by homologous recombination (HR) in the yeast, Saccharomyces cerevisiae, and 2) a set of ten worm strains that each express a single, spectrally distinct fluorescent protein, under control of either the daf21 or eft-3 promoters. We measured the in vivo emission spectrum (3nm resolution) for each fluorescent protein in live C. elegans and showed that we can use those pure spectra to unmix overlapping fluorescent signals in spectral images of intestine cells. Seven of ten fluorescent proteins had signals that appeared to be localized in vesicular/elliptical foci or tubules in the hypodermis. We conducted fluorescence recovery after photobleaching (FRAP) experiments and showed that these structures have recovery kinetics more consistent with freely diffusing protein than aggregates (Q35::YFP). This toolkit will allow researchers to quickly and efficiently generate mutlti-fragment DNA assemblies for genome editing in C. elegans. Additionally, the transgenic C. elegans and the measured emission spectra should serve as a resource for scientists seeking to perform, or test their ability to perform, multidimensional (multi-color) imaging experiments.
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Affiliation(s)
- Bryan Sands
- Department of Pathology, University of Washington, Seattle, Washington, United States of America
| | - Nikolay Burnaevskiy
- Department of Pathology, University of Washington, Seattle, Washington, United States of America
| | - Soo R Yun
- Department of Pathology, University of Washington, Seattle, Washington, United States of America
| | - Mathew M Crane
- Department of Pathology, University of Washington, Seattle, Washington, United States of America
| | - Matt Kaeberlein
- Department of Pathology, University of Washington, Seattle, Washington, United States of America
| | - Alexander Mendenhall
- Department of Pathology, University of Washington, Seattle, Washington, United States of America
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182
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Xie ZX, Liu D, Li BZ, Zhao M, Zeng BX, Wu Y, Shen Y, Lin T, Yang P, Dai J, Cai Y, Yang H, Yuan YJ. Design and chemical synthesis of eukaryotic chromosomes. Chem Soc Rev 2018; 46:7191-7207. [PMID: 29094136 DOI: 10.1039/c7cs00208d] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Following the discovery of the DNA double helix structure and the advancement of genome sequencing, we have entered a promising stage with regard to genome writing. Recently, a milestone breakthrough was achieved in the chemical synthesis of designer yeast chromosomes. Here, we review the systematic approaches to the de novo synthesis of designer eukaryotic chromosomes, with an emphasis on technologies and methodologies that enable design, building, testing and debugging. The achievement of chemically synthesized genomes with customized genetic features offers an opportunity to rebuild genome organization, remold biological functions and promote life evolution, which will be of great benefit for application in medicine and industrial manufacturing.
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Affiliation(s)
- Ze-Xiong Xie
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, P. R. China.
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183
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Cell-free protein synthesis from genomically recoded bacteria enables multisite incorporation of noncanonical amino acids. Nat Commun 2018; 9:1203. [PMID: 29572528 PMCID: PMC5865108 DOI: 10.1038/s41467-018-03469-5] [Citation(s) in RCA: 147] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Accepted: 02/13/2018] [Indexed: 12/24/2022] Open
Abstract
Cell-free protein synthesis has emerged as a powerful approach for expanding the range of genetically encoded chemistry into proteins. Unfortunately, efforts to site-specifically incorporate multiple non-canonical amino acids into proteins using crude extract-based cell-free systems have been limited by release factor 1 competition. Here we address this limitation by establishing a bacterial cell-free protein synthesis platform based on genomically recoded Escherichia coli lacking release factor 1. This platform was developed by exploiting multiplex genome engineering to enhance extract performance by functionally inactivating negative effectors. Our most productive cell extracts enabled synthesis of 1,780 ± 30 mg/L superfolder green fluorescent protein. Using an optimized platform, we demonstrated the ability to introduce 40 identical p-acetyl-l-phenylalanine residues site specifically into an elastin-like polypeptide with high accuracy of incorporation ( ≥ 98%) and yield (96 ± 3 mg/L). We expect this cell-free platform to facilitate fundamental understanding and enable manufacturing paradigms for proteins with new and diverse chemistries. Cell-free protein synthesis allows for producing proteins without the need of a host organism, thus sparing the researcher experimental hassle. Here, the authors developed a cell-free synthesis method that enables incorporating non-standard amino acids in the product.
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184
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Construction of Designer Selectable Marker Deletions with a CRISPR-Cas9 Toolbox in Schizosaccharomyces pombe and New Design of Common Entry Vectors. G3-GENES GENOMES GENETICS 2018; 8:789-796. [PMID: 29321167 PMCID: PMC5844300 DOI: 10.1534/g3.117.300363] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Vectors encoding selectable markers have been widely used in yeast to maintain or express exogenous DNA fragments. In the fission yeast Schizosaccharomyces pombe, several engineered markers have been reported and widely used, such as ura4+ and ScLEU2 from Saccharomyces cerevisiae, which complement ura4 and leu1 mutations, respectively. These two auxotrophic markers share no homology with the S. pombe genome; however, most others can recombine with the genome due to sequence homology shared between the genomic and plasmid-borne copies of the markers. Here, we describe a CRISPR-Cas9 toolbox that can be used to quickly introduce "designer" auxotrophic marker deletions into host strains, including leu1-Δ0, his3-Δ0, and lys9-Δ0 Together with ura4-D18, this brings the total number of available designer deletion auxotrophic markers to four. The toolbox consists of a Cas9-gRNA expression vector and a donor DNA plasmid pair for each designer deletion. Using this toolbox, a set of auxotrophic S. pombe strains was constructed. Further, we reorganized essential components in the commonly used pREP series of plasmids and assembled the corresponding auxotrophic marker gene onto these plasmids. This toolbox for producing designer deletions, together with the newly developed strains and plasmids, will benefit the whole yeast community.
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185
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Casini A, Chang FY, Eluere R, King AM, Young EM, Dudley QM, Karim A, Pratt K, Bristol C, Forget A, Ghodasara A, Warden-Rothman R, Gan R, Cristofaro A, Borujeni AE, Ryu MH, Li J, Kwon YC, Wang H, Tatsis E, Rodriguez-Lopez C, O’Connor S, Medema MH, Fischbach MA, Jewett MC, Voigt C, Gordon DB. A Pressure Test to Make 10 Molecules in 90 Days: External Evaluation of Methods to Engineer Biology. J Am Chem Soc 2018; 140:4302-4316. [DOI: 10.1021/jacs.7b13292] [Citation(s) in RCA: 99] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Affiliation(s)
- Arturo Casini
- The Foundry, 75 Ames Street, Cambridge, Massachusetts 02142, United States
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
| | - Fang-Yuan Chang
- The Foundry, 75 Ames Street, Cambridge, Massachusetts 02142, United States
- Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States,
| | - Raissa Eluere
- The Foundry, 75 Ames Street, Cambridge, Massachusetts 02142, United States
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
| | - Andrew M. King
- The Foundry, 75 Ames Street, Cambridge, Massachusetts 02142, United States
- Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States,
| | - Eric M. Young
- The Foundry, 75 Ames Street, Cambridge, Massachusetts 02142, United States
- Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States,
| | - Quentin M. Dudley
- The Foundry, 75 Ames Street, Cambridge, Massachusetts 02142, United States
- Department of Chemical and Biological Engineering, Center for Synthetic Biology, Northwestern University, Evanston, Illinois 60208, United States
| | - Ashty Karim
- The Foundry, 75 Ames Street, Cambridge, Massachusetts 02142, United States
- Department of Chemical and Biological Engineering, Center for Synthetic Biology, Northwestern University, Evanston, Illinois 60208, United States
| | - Katelin Pratt
- The Foundry, 75 Ames Street, Cambridge, Massachusetts 02142, United States
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
| | - Cassandra Bristol
- The Foundry, 75 Ames Street, Cambridge, Massachusetts 02142, United States
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
| | - Anthony Forget
- The Foundry, 75 Ames Street, Cambridge, Massachusetts 02142, United States
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
- Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States,
| | - Amar Ghodasara
- Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States,
| | - Robert Warden-Rothman
- The Foundry, 75 Ames Street, Cambridge, Massachusetts 02142, United States
- Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States,
| | - Rui Gan
- The Foundry, 75 Ames Street, Cambridge, Massachusetts 02142, United States
- Department of Chemical and Biological Engineering, Center for Synthetic Biology, Northwestern University, Evanston, Illinois 60208, United States
| | - Alexander Cristofaro
- The Foundry, 75 Ames Street, Cambridge, Massachusetts 02142, United States
- Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States,
| | - Amin Espah Borujeni
- The Foundry, 75 Ames Street, Cambridge, Massachusetts 02142, United States
- Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States,
| | - Min-Hyung Ryu
- Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States,
| | - Jian Li
- Department of Chemical and Biological Engineering, Center for Synthetic Biology, Northwestern University, Evanston, Illinois 60208, United States
| | - Yong-Chan Kwon
- Department of Chemical and Biological Engineering, Center for Synthetic Biology, Northwestern University, Evanston, Illinois 60208, United States
| | - He Wang
- Department of Chemical and Biological Engineering, Center for Synthetic Biology, Northwestern University, Evanston, Illinois 60208, United States
| | - Evangelos Tatsis
- Department of Biological Chemistry, John Innes Centre, Norwich NR4 7UH, United Kingdom
| | | | - Sarah O’Connor
- Department of Biological Chemistry, John Innes Centre, Norwich NR4 7UH, United Kingdom
| | - Marnix H. Medema
- Bioinformatics Group, Wageningen University, Wageningen 6708 PB, The Netherlands
| | - Michael A. Fischbach
- The Foundry, 75 Ames Street, Cambridge, Massachusetts 02142, United States
- Department of Bioengineering and Chemistry, Engineering & Medicine for Human Health, Stanford University, Stanford, California 94305, United States
| | - Michael C. Jewett
- The Foundry, 75 Ames Street, Cambridge, Massachusetts 02142, United States
- Department of Chemical and Biological Engineering, Center for Synthetic Biology, Northwestern University, Evanston, Illinois 60208, United States
| | - Christopher Voigt
- The Foundry, 75 Ames Street, Cambridge, Massachusetts 02142, United States
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
- Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States,
| | - D. Benjamin Gordon
- The Foundry, 75 Ames Street, Cambridge, Massachusetts 02142, United States
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
- Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States,
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186
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From Designing the Molecules of Life to Designing Life: Future Applications Derived from Advances in DNA Technologies. Angew Chem Int Ed Engl 2018; 57:4313-4328. [DOI: 10.1002/anie.201707976] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2017] [Revised: 11/14/2017] [Indexed: 12/20/2022]
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187
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Kohman RE, Kunjapur AM, Hysolli E, Wang Y, Church GM. Vom Design der Moleküle des Lebens zum Design von Leben: Zukünftige Anwendungen von DNA-Technologien. Angew Chem Int Ed Engl 2018. [DOI: 10.1002/ange.201707976] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Richie E. Kohman
- Wyss Institute for Biologically Inspired Engineering; Harvard University; Boston MA 02115 USA
| | | | - Eriona Hysolli
- Department of Genetics; Harvard Medical School; Boston MA 02115 USA
| | - Yu Wang
- Department of Genetics; Harvard Medical School; Boston MA 02115 USA
- Wyss Institute for Biologically Inspired Engineering; Harvard University; Boston MA 02115 USA
| | - George M. Church
- Department of Genetics; Harvard Medical School; Boston MA 02115 USA
- Wyss Institute for Biologically Inspired Engineering; Harvard University; Boston MA 02115 USA
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188
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Abstract
Serine integrases catalyze precise rearrangement of DNA through site-specific recombination of small sequences of DNA called attachment (att) sites. Unlike other site-specific recombinases, the recombination reaction driven by serine integrases is highly directional and can only be reversed in the presence of an accessory protein called a recombination directionality factor (RDF). The ability to control reaction directionality has led to the development of serine integrases as tools for controlled rearrangement and modification of DNA in synthetic biology, gene therapy, and biotechnology. This review discusses recent advances in serine integrase technologies focusing on their applications in genome engineering, DNA assembly, and logic and data storage devices.
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Affiliation(s)
- Christine A. Merrick
- School
of Biological Sciences, University of Edinburgh, Roger Land Building, Alexander Crum
Brown Road, Edinburgh EH9
3FF, U.K
| | - Jia Zhao
- Novo
Nordisk (China) Pharmaceuticals Co., Ltd., Lei Shing Hong Center, Guangshunnan Avenue, Beijing 100102, China
| | - Susan J. Rosser
- School
of Biological Sciences, University of Edinburgh, Roger Land Building, Alexander Crum
Brown Road, Edinburgh EH9
3FF, U.K
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189
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Abstract
Efforts are underway to construct several recoded genomes anticipated to exhibit multivirus resistance, enhanced nonstandard amino acid (nsAA) incorporation, and capability for synthetic biocontainment. Although our laboratory pioneered the first genomically recoded organism (Escherichia coli strain C321.∆A), its fitness is far lower than that of its nonrecoded ancestor, particularly in defined media. This fitness deficit severely limits its utility for nsAA-linked applications requiring defined media, such as live cell imaging, metabolic engineering, and industrial-scale protein production. Here, we report adaptive evolution of C321.∆A for more than 1,000 generations in independent replicate populations grown in glucose minimal media. Evolved recoded populations significantly exceeded the growth rates of both the ancestral C321.∆A and nonrecoded strains. We used next-generation sequencing to identify genes mutated in multiple independent populations, and we reconstructed individual alleles in ancestral strains via multiplex automatable genome engineering (MAGE) to quantify their effects on fitness. Several selective mutations occurred only in recoded evolved populations, some of which are associated with altering the translation apparatus in response to recoding, whereas others are not apparently associated with recoding, but instead correct for off-target mutations that occurred during initial genome engineering. This report demonstrates that laboratory evolution can be applied after engineering of recoded genomes to streamline fitness recovery compared with application of additional targeted engineering strategies that may introduce further unintended mutations. In doing so, we provide the most comprehensive insight to date into the physiology of the commonly used C321.∆A strain.
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190
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Wang L, Jiang S, Chen C, He W, Wu X, Wang F, Tong T, Zou X, Li Z, Luo J, Deng Z, Chen S. Synthetische Genomik: von der DNA-Synthese zu Designer-Genomen. Angew Chem Int Ed Engl 2018. [DOI: 10.1002/ange.201708741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Lianrong Wang
- Zhongnan Hospital; Wuhan University; Wuhan Hubei 430071 China
- Taihe Hospital; Hubei University of Medicine, Shiyan; Hubei 442000 China
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; University of Wuhan; Wuhan Hubei 430071 China
| | - Susu Jiang
- Zhongnan Hospital; Wuhan University; Wuhan Hubei 430071 China
- Taihe Hospital; Hubei University of Medicine, Shiyan; Hubei 442000 China
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; University of Wuhan; Wuhan Hubei 430071 China
| | - Chao Chen
- Zhongnan Hospital; Wuhan University; Wuhan Hubei 430071 China
- Taihe Hospital; Hubei University of Medicine, Shiyan; Hubei 442000 China
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; University of Wuhan; Wuhan Hubei 430071 China
| | - Wei He
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; University of Wuhan; Wuhan Hubei 430071 China
| | - Xiaolin Wu
- Taihe Hospital; Hubei University of Medicine, Shiyan; Hubei 442000 China
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; University of Wuhan; Wuhan Hubei 430071 China
| | - Fei Wang
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; University of Wuhan; Wuhan Hubei 430071 China
| | - Tong Tong
- Zhongnan Hospital; Wuhan University; Wuhan Hubei 430071 China
- Taihe Hospital; Hubei University of Medicine, Shiyan; Hubei 442000 China
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; University of Wuhan; Wuhan Hubei 430071 China
| | - Xuan Zou
- Zhongnan Hospital; Wuhan University; Wuhan Hubei 430071 China
- Taihe Hospital; Hubei University of Medicine, Shiyan; Hubei 442000 China
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; University of Wuhan; Wuhan Hubei 430071 China
| | - Zhiqiang Li
- Zhongnan Hospital; Wuhan University; Wuhan Hubei 430071 China
| | - Jie Luo
- Taihe Hospital; Hubei University of Medicine, Shiyan; Hubei 442000 China
| | - Zixin Deng
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; University of Wuhan; Wuhan Hubei 430071 China
| | - Shi Chen
- Zhongnan Hospital; Wuhan University; Wuhan Hubei 430071 China
- Taihe Hospital; Hubei University of Medicine, Shiyan; Hubei 442000 China
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; University of Wuhan; Wuhan Hubei 430071 China
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191
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A Perfect Match Genomic Landscape Provides a Unified Framework for the Precise Detection of Variation in Natural and Synthetic Haploid Genomes. Genetics 2018; 208:1631-1641. [PMID: 29367403 PMCID: PMC5887153 DOI: 10.1534/genetics.117.300589] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Accepted: 01/19/2018] [Indexed: 01/13/2023] Open
Abstract
We present a conceptually simple, sensitive, precise, and essentially nonstatistical solution for the analysis of genome variation in haploid organisms. The generation of a Perfect Match Genomic Landscape (PMGL), which computes intergenome identity with single nucleotide resolution, reveals signatures of variation wherever a query genome differs from a reference genome. Such signatures encode the precise location of different types of variants, including single nucleotide variants, deletions, insertions, and amplifications, effectively introducing the concept of a general signature of variation. The precise nature of variants is then resolved through the generation of targeted alignments between specific sets of sequence reads and known regions of the reference genome. Thus, the perfect match logic decouples the identification of the location of variants from the characterization of their nature, providing a unified framework for the detection of genome variation. We assessed the performance of the PMGL strategy via simulation experiments. We determined the variation profiles of natural genomes and of a synthetic chromosome, both in the context of haploid yeast strains. Our approach uncovered variants that have previously escaped detection. Moreover, our strategy is ideally suited for further refining high-quality reference genomes. The source codes for the automated PMGL pipeline have been deposited in a public repository.
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192
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Baby V, Labroussaa F, Brodeur J, Matteau D, Gourgues G, Lartigue C, Rodrigue S. Cloning and Transplantation of the Mesoplasma florum Genome. ACS Synth Biol 2018; 7:209-217. [PMID: 28893065 DOI: 10.1021/acssynbio.7b00279] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Cloning and transplantation of bacterial genomes is a powerful method for the creation of engineered microorganisms. However, much remains to be understood about the molecular mechanisms and limitations of this approach. We report the whole-genome cloning of Mesoplasma florum in Saccharomyces cerevisiae, and use this model to investigate the impact of a bacterial chromosome in yeast cells. Our results indicate that the cloned M. florum genome is subjected to weak transcriptional activity, and causes no significant impact on yeast growth. We also report that the M. florum genome can be transplanted into Mycoplasma capricolum without any negative impact from the putative restriction enzyme encoding gene mfl307. Using whole-genome sequencing, we observed that a small number of mutations appeared in all M. florum transplants. Mutations also arose, albeit at a lower frequency, when the M. capricolum genome was transplanted into M. capricolum recipient cells. These observations suggest that genome transplantation is mutagenic, and that this phenomenon is magnified by the use of genome donor and recipient cell belonging to different species. No difference in efficiency was detected after three successive rounds of genome transplantation, suggesting that the observed mutations were not selected during the procedure. Taken together, our results provide a more accurate picture of the events taking place during bacterial genome cloning and transplantation.
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Affiliation(s)
- Vincent Baby
- Université de Sherbrooke, Département de Biologie, 2500 Boulevard Université, Sherbrooke, Québec J1K 2R1, Canada
| | - Fabien Labroussaa
- Université de Bordeaux, INRA, UMR 1332 de Biologie du Fruit et Pathologie, F-33140 Villenave d’Ornon, France
| | - Joëlle Brodeur
- Université de Sherbrooke, Département de Biologie, 2500 Boulevard Université, Sherbrooke, Québec J1K 2R1, Canada
| | - Dominick Matteau
- Université de Sherbrooke, Département de Biologie, 2500 Boulevard Université, Sherbrooke, Québec J1K 2R1, Canada
| | - Géraldine Gourgues
- Université de Bordeaux, INRA, UMR 1332 de Biologie du Fruit et Pathologie, F-33140 Villenave d’Ornon, France
| | - Carole Lartigue
- Université de Bordeaux, INRA, UMR 1332 de Biologie du Fruit et Pathologie, F-33140 Villenave d’Ornon, France
| | - Sébastien Rodrigue
- Université de Sherbrooke, Département de Biologie, 2500 Boulevard Université, Sherbrooke, Québec J1K 2R1, Canada
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193
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Xie ZX, Mitchell LA, Liu HM, Li BZ, Liu D, Agmon N, Wu Y, Li X, Zhou X, Li B, Xiao WH, Ding MZ, Wang Y, Yuan YJ, Boeke JD. Rapid and Efficient CRISPR/Cas9-Based Mating-Type Switching of Saccharomyces cerevisiae. G3 (BETHESDA, MD.) 2018; 8:173-183. [PMID: 29150593 PMCID: PMC5765346 DOI: 10.1534/g3.117.300347] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Accepted: 11/06/2017] [Indexed: 12/02/2022]
Abstract
Rapid and highly efficient mating-type switching of Saccharomyces cerevisiae enables a wide variety of genetic manipulations, such as the construction of strains, for instance, isogenic haploid pairs of both mating-types, diploids and polyploids. We used the CRISPR/Cas9 system to generate a double-strand break at the MAT locus and, in a single cotransformation, both haploid and diploid cells were switched to the specified mating-type at ∼80% efficiency. The mating-type of strains carrying either rod or ring chromosome III were switched, including those lacking HMLα and HMR a cryptic mating loci. Furthermore, we transplanted the synthetic yeast chromosome V to build a haploid polysynthetic chromosome strain by using this method together with an endoreduplication intercross strategy. The CRISPR/Cas9 mating-type switching method will be useful in building the complete synthetic yeast (Sc2.0) genome. Importantly, it is a generally useful method to build polyploids of a defined genotype and generally expedites strain construction, for example, in the construction of fully a/a/α/α isogenic tetraploids.
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MESH Headings
- CRISPR-Cas Systems
- Cell Engineering/methods
- Chromosomes, Artificial/chemistry
- DNA Breaks, Double-Stranded
- DNA, Fungal/genetics
- DNA, Fungal/metabolism
- Gene Editing/methods
- Genes, Mating Type, Fungal
- Genetic Loci
- Genome, Fungal
- Plasmids/chemistry
- Plasmids/metabolism
- Ploidies
- RNA, Guide, CRISPR-Cas Systems/genetics
- RNA, Guide, CRISPR-Cas Systems/metabolism
- Saccharomyces cerevisiae/genetics
- Saccharomyces cerevisiae/metabolism
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Affiliation(s)
- Ze-Xiong Xie
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, 300072, China
- SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin University, 300072, China
- Institute for Systems Genetics, NYU Langone Health, New York 10016
| | - Leslie A Mitchell
- Department of Biochemistry and Molecular Pharmacology NYU Langone Health, New York 10016
- Institute for Systems Genetics, NYU Langone Health, New York 10016
| | - Hui-Min Liu
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, 300072, China
- SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin University, 300072, China
| | - Bing-Zhi Li
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, 300072, China
- SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin University, 300072, China
| | - Duo Liu
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, 300072, China
- SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin University, 300072, China
| | - Neta Agmon
- Department of Biochemistry and Molecular Pharmacology NYU Langone Health, New York 10016
- Institute for Systems Genetics, NYU Langone Health, New York 10016
| | - Yi Wu
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, 300072, China
- SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin University, 300072, China
- Institute for Systems Genetics, NYU Langone Health, New York 10016
| | - Xia Li
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, 300072, China
- SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin University, 300072, China
| | - Xiao Zhou
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, 300072, China
- SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin University, 300072, China
| | - Bo Li
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, 300072, China
- SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin University, 300072, China
| | - Wen-Hai Xiao
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, 300072, China
- SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin University, 300072, China
| | - Ming-Zhu Ding
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, 300072, China
- SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin University, 300072, China
| | - Ying Wang
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, 300072, China
- SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin University, 300072, China
| | - Ying-Jin Yuan
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, 300072, China
- SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin University, 300072, China
| | - Jef D Boeke
- Department of Biochemistry and Molecular Pharmacology NYU Langone Health, New York 10016
- Institute for Systems Genetics, NYU Langone Health, New York 10016
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194
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Wang L, Jiang S, Chen C, He W, Wu X, Wang F, Tong T, Zou X, Li Z, Luo J, Deng Z, Chen S. Synthetic Genomics: From DNA Synthesis to Genome Design. Angew Chem Int Ed Engl 2018; 57:1748-1756. [PMID: 29078032 DOI: 10.1002/anie.201708741] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Revised: 10/17/2017] [Indexed: 11/10/2022]
Affiliation(s)
- Lianrong Wang
- Zhongnan Hospital; Wuhan University; Wuhan Hubei 430071 China
- Taihe Hospital; Hubei University of Medicine, Shiyan; Hubei 442000 China
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; Wuhan University; Wuhan Hubei 430071 China
| | - Susu Jiang
- Zhongnan Hospital; Wuhan University; Wuhan Hubei 430071 China
- Taihe Hospital; Hubei University of Medicine, Shiyan; Hubei 442000 China
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; Wuhan University; Wuhan Hubei 430071 China
| | - Chao Chen
- Zhongnan Hospital; Wuhan University; Wuhan Hubei 430071 China
- Taihe Hospital; Hubei University of Medicine, Shiyan; Hubei 442000 China
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; Wuhan University; Wuhan Hubei 430071 China
| | - Wei He
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; Wuhan University; Wuhan Hubei 430071 China
| | - Xiaolin Wu
- Taihe Hospital; Hubei University of Medicine, Shiyan; Hubei 442000 China
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; Wuhan University; Wuhan Hubei 430071 China
| | - Fei Wang
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; Wuhan University; Wuhan Hubei 430071 China
| | - Tong Tong
- Zhongnan Hospital; Wuhan University; Wuhan Hubei 430071 China
- Taihe Hospital; Hubei University of Medicine, Shiyan; Hubei 442000 China
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; Wuhan University; Wuhan Hubei 430071 China
| | - Xuan Zou
- Zhongnan Hospital; Wuhan University; Wuhan Hubei 430071 China
- Taihe Hospital; Hubei University of Medicine, Shiyan; Hubei 442000 China
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; Wuhan University; Wuhan Hubei 430071 China
| | - Zhiqiang Li
- Zhongnan Hospital; Wuhan University; Wuhan Hubei 430071 China
| | - Jie Luo
- Taihe Hospital; Hubei University of Medicine, Shiyan; Hubei 442000 China
| | - Zixin Deng
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; Wuhan University; Wuhan Hubei 430071 China
| | - Shi Chen
- Zhongnan Hospital; Wuhan University; Wuhan Hubei 430071 China
- Taihe Hospital; Hubei University of Medicine, Shiyan; Hubei 442000 China
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery; Ministry of Education; School of Pharmaceutical Sciences; Wuhan University; Wuhan Hubei 430071 China
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195
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Hsu SY, Smanski MJ. Designing and Implementing Algorithmic DNA Assembly Pipelines for Multi-Gene Systems. Methods Mol Biol 2018; 1671:131-147. [PMID: 29170957 DOI: 10.1007/978-1-4939-7295-1_9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Advances in DNA synthesis and assembly technology allow for the high-throughput fabrication of hundreds to thousands of multi-part genetic constructs in a short time. This allows for rapid hypothesis-testing and genetic optimization in multi-gene biological systems. Here, we discuss key considerations to design and implement an algorithmic DNA assembly pipeline that provides the freedom to change nearly any design variable in a multi-gene system. In addition to considerations for pipeline design, we describe protocols for three useful molecular biology techniques in plasmid construction.
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Affiliation(s)
- Szu-Yi Hsu
- Department of Biochemistry, Molecular Biology, and Biophysics and BioTechnology Institute, University of Minnesota, Twin Cities, Saint Paul, MN, 55108, USA
| | - Michael J Smanski
- Department of Biochemistry, Molecular Biology, and Biophysics and BioTechnology Institute, University of Minnesota, Twin Cities, Saint Paul, MN, 55108, USA.
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196
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Jagadevan S, Banerjee A, Banerjee C, Guria C, Tiwari R, Baweja M, Shukla P. Recent developments in synthetic biology and metabolic engineering in microalgae towards biofuel production. BIOTECHNOLOGY FOR BIOFUELS 2018; 11:185. [PMID: 29988523 PMCID: PMC6026345 DOI: 10.1186/s13068-018-1181-1] [Citation(s) in RCA: 78] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Accepted: 06/20/2018] [Indexed: 05/03/2023]
Abstract
In the wake of the uprising global energy crisis, microalgae have emerged as an alternate feedstock for biofuel production. In addition, microalgae bear immense potential as bio-cell factories in terms of producing key chemicals, recombinant proteins, enzymes, lipid, hydrogen and alcohol. Abstraction of such high-value products (algal biorefinery approach) facilitates to make microalgae-based renewable energy an economically viable option. Synthetic biology is an emerging field that harmoniously blends science and engineering to help design and construct novel biological systems, with an aim to achieve rationally formulated objectives. However, resources and tools used for such nuclear manipulation, construction of synthetic gene network and genome-scale reconstruction of microalgae are limited. Herein, we present recent developments in the upcoming field of microalgae employed as a model system for synthetic biology applications and highlight the importance of genome-scale reconstruction models and kinetic models, to maximize the metabolic output by understanding the intricacies of algal growth. This review also examines the role played by microalgae as biorefineries, microalgal culture conditions and various operating parameters that need to be optimized to yield biofuel that can be economically competitive with fossil fuels.
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Affiliation(s)
- Sheeja Jagadevan
- Department of Environmental Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand 826004 India
| | - Avik Banerjee
- Department of Environmental Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand 826004 India
| | - Chiranjib Banerjee
- Department of Environmental Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand 826004 India
| | - Chandan Guria
- Department of Environmental Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand 826004 India
| | - Rameshwar Tiwari
- Enzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology, Maharshi Dayanand University, Rohtak, Haryana 124001 India
- Enzyme and Microbial Biochemistry Lab, Department of Chemistry, Indian Institute of Technology, Hauz-Khas, New Delhi 110016 India
| | - Mehak Baweja
- Enzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology, Maharshi Dayanand University, Rohtak, Haryana 124001 India
| | - Pratyoosh Shukla
- Enzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology, Maharshi Dayanand University, Rohtak, Haryana 124001 India
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197
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Dai Z, Zhang S, Yang Q, Zhang W, Qian X, Dong W, Jiang M, Xin F. Genetic tool development and systemic regulation in biosynthetic technology. BIOTECHNOLOGY FOR BIOFUELS 2018; 11:152. [PMID: 29881457 PMCID: PMC5984347 DOI: 10.1186/s13068-018-1153-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Accepted: 05/23/2018] [Indexed: 05/17/2023]
Abstract
With the increased development in research, innovation, and policy interest in recent years, biosynthetic technology has developed rapidly, which combines engineering, electronics, computer science, mathematics, and other disciplines based on classical genetic engineering and metabolic engineering. It gives a wider perspective and a deeper level to perceive the nature of life via cell mechanism, regulatory networks, or biological evolution. Currently, synthetic biology has made great breakthrough in energy, chemical industry, and medicine industries, particularly in the programmable genetic control at multiple levels of regulation to perform designed goals. In this review, the most advanced and comprehensive developments achieved in biosynthetic technology were represented, including genetic engineering as well as synthetic genomics. In addition, the superiority together with the limitations of the current genome-editing tools were summarized.
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Affiliation(s)
- Zhongxue Dai
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Puzhu South Road 30#, Nanjing, 211800 People’s Republic of China
| | - Shangjie Zhang
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Puzhu South Road 30#, Nanjing, 211800 People’s Republic of China
| | - Qiao Yang
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Puzhu South Road 30#, Nanjing, 211800 People’s Republic of China
| | - Wenming Zhang
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Puzhu South Road 30#, Nanjing, 211800 People’s Republic of China
- Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing Tech University, Nanjing, 211800 People’s Republic of China
| | - Xiujuan Qian
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Puzhu South Road 30#, Nanjing, 211800 People’s Republic of China
| | - Weiliang Dong
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Puzhu South Road 30#, Nanjing, 211800 People’s Republic of China
- Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing Tech University, Nanjing, 211800 People’s Republic of China
| | - Min Jiang
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Puzhu South Road 30#, Nanjing, 211800 People’s Republic of China
- Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing Tech University, Nanjing, 211800 People’s Republic of China
| | - Fengxue Xin
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Puzhu South Road 30#, Nanjing, 211800 People’s Republic of China
- Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing Tech University, Nanjing, 211800 People’s Republic of China
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198
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Abstract
Recent exponential advances in genome sequencing and engineering technologies have enabled an unprecedented level of interrogation into the impact of DNA variation (genotype) on cellular function (phenotype). Furthermore, these advances have also prompted realistic discussion of writing and radically re-writing complex genomes. In this Perspective, we detail the motivation for large-scale engineering, discuss the progress made from such projects in bacteria and yeast and describe how various genome-engineering technologies will contribute to this effort. Finally, we describe the features of an ideal platform and provide a roadmap to facilitate the efficient writing of large genomes.
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Affiliation(s)
- Raj Chari
- Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, Massachusetts, 02115, USA
| | - George M. Church
- Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, Massachusetts, 02115, USA
- Wyss Institute for Biologically Inspired Engineering, 3 Blackfan Circle, Boston, Massachusetts, 02115, USA
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199
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Abstract
Biocontainment systems are crucial for preventing genetically modified organisms from escaping into natural ecosystems. Here, we describe the orthogonal ribosome biofirewall, which consists of an activation circuit and a degradation circuit. The activation circuit is a genetic AND gate based on activation of the encrypted pathway by the orthogonal ribosome in response to specific environmental signals. The degradation circuit is a genetic NOT gate with an output of I-SceI homing endonuclease, which conditionally degrades the orthogonal ribosome genes. We demonstrate that the activation circuit can be flexibly incorporated into genetic circuits and metabolic pathways for encryption. The plasmid-based encryption of the deoxychromoviridans pathway and the genome-based encryption of lacZ are tightly regulated and can decrease the expression to 7.3% and 7.8%, respectively. We validated the ability of the degradation circuit to decrease the expression levels of the target plasmids and the orthogonal rRNA (O-rRNA) plasmids to 0.8% in lab medium and 0.76% in nonsterile soil medium, respectively. Our orthogonal ribosome biofirewall is a versatile platform that can be useful in biosafety research and in the biotechnology industry.
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Affiliation(s)
- Bin Jia
- Key
Laboratory of Systems Bioengineering (Ministry of Education), School
of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, PR China
- SynBio
Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300072, PR China
| | - Hao Qi
- Key
Laboratory of Systems Bioengineering (Ministry of Education), School
of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, PR China
- SynBio
Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300072, PR China
| | - Bing-Zhi Li
- Key
Laboratory of Systems Bioengineering (Ministry of Education), School
of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, PR China
- SynBio
Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300072, PR China
| | - Shuo Pan
- Key
Laboratory of Systems Bioengineering (Ministry of Education), School
of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, PR China
- SynBio
Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300072, PR China
| | - Duo Liu
- Key
Laboratory of Systems Bioengineering (Ministry of Education), School
of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, PR China
- SynBio
Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300072, PR China
| | - Hong Liu
- Key
Laboratory of Systems Bioengineering (Ministry of Education), School
of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, PR China
- SynBio
Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300072, PR China
| | - Yizhi Cai
- School
of Biological Sciences, University of Edinburgh, Daniel Rutherford Building G.24,
The King’s Buildings, Edinburgh EH9 3BF, United Kingdom
| | - Ying-Jin Yuan
- Key
Laboratory of Systems Bioengineering (Ministry of Education), School
of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, PR China
- SynBio
Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300072, PR China
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200
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Barbieri EM, Muir P, Akhuetie-Oni BO, Yellman CM, Isaacs FJ. Precise Editing at DNA Replication Forks Enables Multiplex Genome Engineering in Eukaryotes. Cell 2017; 171:1453-1467.e13. [PMID: 29153834 DOI: 10.1016/j.cell.2017.10.034] [Citation(s) in RCA: 96] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2016] [Revised: 08/29/2017] [Accepted: 10/19/2017] [Indexed: 02/08/2023]
Abstract
We describe a multiplex genome engineering technology in Saccharomyces cerevisiae based on annealing synthetic oligonucleotides at the lagging strand of DNA replication. The mechanism is independent of Rad51-directed homologous recombination and avoids the creation of double-strand DNA breaks, enabling precise chromosome modifications at single base-pair resolution with an efficiency of >40%, without unintended mutagenic changes at the targeted genetic loci. We observed the simultaneous incorporation of up to 12 oligonucleotides with as many as 60 targeted mutations in one transformation. Iterative transformations of a complex pool of oligonucleotides rapidly produced large combinatorial genomic diversity >105. This method was used to diversify a heterologous β-carotene biosynthetic pathway that produced genetic variants with precise mutations in promoters, genes, and terminators, leading to altered carotenoid levels. Our approach of engineering the conserved processes of DNA replication, repair, and recombination could be automated and establishes a general strategy for multiplex combinatorial genome engineering in eukaryotes.
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Affiliation(s)
- Edward M Barbieri
- Department of Molecular, Cellular, & Developmental Biology, Yale University, New Haven, CT 06520, USA; Systems Biology Institute, Yale University, West Haven, CT 06516, USA
| | - Paul Muir
- Department of Molecular, Cellular, & Developmental Biology, Yale University, New Haven, CT 06520, USA; Systems Biology Institute, Yale University, West Haven, CT 06516, USA
| | - Benjamin O Akhuetie-Oni
- Department of Molecular, Cellular, & Developmental Biology, Yale University, New Haven, CT 06520, USA; Systems Biology Institute, Yale University, West Haven, CT 06516, USA
| | - Christopher M Yellman
- Department of Molecular, Cellular, & Developmental Biology, Yale University, New Haven, CT 06520, USA; Systems Biology Institute, Yale University, West Haven, CT 06516, USA
| | - Farren J Isaacs
- Department of Molecular, Cellular, & Developmental Biology, Yale University, New Haven, CT 06520, USA; Systems Biology Institute, Yale University, West Haven, CT 06516, USA.
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