1
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Diercks CS, Sondermann PJ, Rong C, Dik DA, Gillis TG, Ban Y, Schultz PG. An Orthogonal T7 Replisome for Continuous Hypermutation and Accelerated Evolution in E. coli. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.25.605042. [PMID: 39211285 PMCID: PMC11361167 DOI: 10.1101/2024.07.25.605042] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Systems that perform continuous hypermutation of designated genes without compromising the integrity of the host genome can dramatically accelerate the evolution of new or enhanced protein functions. We describe an orthogonal DNA replication system in E. coli based on the controlled expression of the replisome of bacteriophage T7. The system replicates circular plasmids that enable high transformation efficiencies and seamless integration into standard molecular biology workflows. Engineering of T7 DNA polymerase yielded variant proteins with mutation rates of 1.7 × 10 -5 substitutions per base in vivo - 100,000-fold above the genomic mutation rate. Continuous evolution using the mutagenic T7 replisome was demonstrated by expanding the substrate scope of TEM-1 β-lactamase and increase activity 1,000-fold against clinically relevant monobactam and cephalosporin antibiotics in less than one week.
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2
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Ribeiro R, Moreira JN, Goncalves J. Development of a new affinity maturation protocol for the construction of an internalizing anti-nucleolin antibody library. Sci Rep 2024; 14:10608. [PMID: 38719911 PMCID: PMC11079059 DOI: 10.1038/s41598-024-61230-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 05/02/2024] [Indexed: 05/12/2024] Open
Abstract
Over the last decades, monoclonal antibodies have substantially improved the treatment of several conditions. The continuous search for novel therapeutic targets and improvements in antibody's structure, demands for a constant optimization of their development. In this regard, modulation of an antibody's affinity to its target has been largely explored and culminated in the discovery and optimization of a variety of molecules. It involves the creation of antibody libraries and selection against the target of interest. In this work, we aimed at developing a novel protocol to be used for the affinity maturation of an antibody previously developed by our group. An antibody library was constructed using an in vivo random mutagenesis approach that, to our knowledge, has not been used before for antibody development. Then, a cell-based phage display selection protocol was designed to allow the fast and simple screening of antibody clones capable of being internalized by target cells. Next generation sequencing coupled with computer analysis provided an extensive characterization of the created library and post-selection pool, that can be used as a guide for future antibody development. With a single selection step, an enrichment in the mutated antibody library, given by a decrease in almost 50% in sequence diversity, was achieved, and structural information useful in the study of the antibody-target interaction in the future was obtained.
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Affiliation(s)
- Rita Ribeiro
- CNC-Center for Neurosciences and Cell Biology, Center for Innovative Biomedicine and Biotechnology (CIBB), Faculty of Medicine (Polo 1), University of Coimbra, Coimbra, Portugal
- Faculty of Pharmacy, iMed.ULisboa - Research Institute for Medicines, University of Lisbon, Lisbon, Portugal
- Univ Coimbra-University of Coimbra, CIBB, Faculty of Pharmacy, Coimbra, Portugal
| | - João N Moreira
- CNC-Center for Neurosciences and Cell Biology, Center for Innovative Biomedicine and Biotechnology (CIBB), Faculty of Medicine (Polo 1), University of Coimbra, Coimbra, Portugal.
- Univ Coimbra-University of Coimbra, CIBB, Faculty of Pharmacy, Coimbra, Portugal.
| | - João Goncalves
- Faculty of Pharmacy, iMed.ULisboa - Research Institute for Medicines, University of Lisbon, Lisbon, Portugal.
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3
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Tian R, Rehm FBH, Czernecki D, Gu Y, Zürcher JF, Liu KC, Chin JW. Establishing a synthetic orthogonal replication system enables accelerated evolution in E. coli. Science 2024; 383:421-426. [PMID: 38271510 DOI: 10.1126/science.adk1281] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 11/28/2023] [Indexed: 01/27/2024]
Abstract
The evolution of new function in living organisms is slow and fundamentally limited by their critical mutation rate. Here, we established a stable orthogonal replication system in Escherichia coli. The orthogonal replicon can carry diverse cargos of at least 16.5 kilobases and is not copied by host polymerases but is selectively copied by an orthogonal DNA polymerase (O-DNAP), which does not copy the genome. We designed mutant O-DNAPs that selectively increase the mutation rate of the orthogonal replicon by two to four orders of magnitude. We demonstrate the utility of our system for accelerated continuous evolution by evolving a 150-fold increase in resistance to tigecycline in 12 days. And, starting from a GFP variant, we evolved a 1000-fold increase in cellular fluorescence in 5 days.
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Affiliation(s)
- Rongzhen Tian
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
| | - Fabian B H Rehm
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
| | - Dariusz Czernecki
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
| | - Yangqi Gu
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
| | - Jérôme F Zürcher
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
| | - Kim C Liu
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
| | - Jason W Chin
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
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4
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Chen S, Yang Z, Zhong Z, Yu S, Zhou J, Li J, Du G, Zhang G. Ultrahigh-throughput screening-assisted in vivo directed evolution for enzyme engineering. BIOTECHNOLOGY FOR BIOFUELS AND BIOPRODUCTS 2024; 17:9. [PMID: 38254175 PMCID: PMC10804518 DOI: 10.1186/s13068-024-02457-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 01/05/2024] [Indexed: 01/24/2024]
Abstract
BACKGROUND Classical directed evolution is a powerful approach for engineering biomolecules with improved or novel functions. However, it traditionally relies on labour- and time-intensive iterative cycles, due in part to the need for multiple molecular biology steps, including DNA transformation, and limited screening throughput. RESULTS In this study, we present an ultrahigh throughput in vivo continuous directed evolution system with thermosensitive inducible tunability, which is based on error-prone DNA polymerase expression modulated by engineered thermal-responsive repressor cI857, and genomic MutS mutant with temperature-sensitive defect for fixation of mutations in Escherichia coli. We demonstrated the success of the in vivo evolution platform with β-lactamase as a model, with an approximately 600-fold increase in the targeted mutation rate. Furthermore, the platform was combined with ultrahigh-throughput screening methods and employed to evolve α-amylase and the resveratrol biosynthetic pathway. After iterative rounds of enrichment, a mutant with a 48.3% improvement in α-amylase activity was identified via microfluidic droplet screening. In addition, when coupled with an in vivo biosensor in the resveratrol biosynthetic pathway, a variant with 1.7-fold higher resveratrol production was selected by fluorescence-activated cell sorting. CONCLUSIONS In this study, thermal-responsive targeted mutagenesis coupled with ultrahigh-throughput screening was developed for the rapid evolution of enzymes and biosynthetic pathways.
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Affiliation(s)
- Shuaili Chen
- Science Center for Future Foods, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China
- National Engineering Research Center for Cereal Fermentation and Food Biomanufacturing, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China
| | - Zhanhao Yang
- Science Center for Future Foods, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China
- National Engineering Research Center for Cereal Fermentation and Food Biomanufacturing, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China
| | - Ze Zhong
- Science Center for Future Foods, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China
- National Engineering Research Center for Cereal Fermentation and Food Biomanufacturing, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China
| | - Shiqin Yu
- Science Center for Future Foods, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China
- National Engineering Research Center for Cereal Fermentation and Food Biomanufacturing, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China
| | - Jingwen Zhou
- Science Center for Future Foods, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China
- National Engineering Research Center for Cereal Fermentation and Food Biomanufacturing, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China
- Engineering Research Center of Ministry of Education On Food Synthetic Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China
- Jiangsu Province Engineering Research Center of Food Synthetic Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China
| | - Jianghua Li
- Science Center for Future Foods, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China
- Engineering Research Center of Ministry of Education On Food Synthetic Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China
- Jiangsu Province Engineering Research Center of Food Synthetic Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China
| | - Guocheng Du
- Science Center for Future Foods, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China.
- Engineering Research Center of Ministry of Education On Food Synthetic Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China.
- Jiangsu Province Engineering Research Center of Food Synthetic Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China.
| | - Guoqiang Zhang
- Science Center for Future Foods, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China.
- National Engineering Research Center for Cereal Fermentation and Food Biomanufacturing, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China.
- Engineering Research Center of Ministry of Education On Food Synthetic Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China.
- Jiangsu Province Engineering Research Center of Food Synthetic Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, Jiangsu, China.
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5
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Ornelas MY, Cournoyer JE, Bram S, Mehta AP. Evolution and synthetic biology. Curr Opin Microbiol 2023; 76:102394. [PMID: 37801925 PMCID: PMC10842511 DOI: 10.1016/j.mib.2023.102394] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 08/29/2023] [Accepted: 09/08/2023] [Indexed: 10/08/2023]
Abstract
Evolutionary observations have often served as an inspiration for biological design. Decoding of the central dogma of life at a molecular level and understanding of the cellular biochemistry have been elegantly used to engineer various synthetic biology applications, including building genetic circuits in vitro and in cells, building synthetic translational systems, and metabolic engineering in cells to biosynthesize and even bioproduce complex high-value molecules. Here, we review three broad areas of synthetic biology that are inspired by evolutionary observations: (i) combinatorial approaches toward cell-based biomolecular evolution, (ii) engineering interdependencies to establish microbial consortia, and (iii) synthetic immunology. In each of the areas, we will highlight the evolutionary premise that was central toward designing these platforms. These are only a subset of the examples where evolution and natural phenomena directly or indirectly serve as a powerful source of inspiration in shaping synthetic biology and biotechnology.
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Affiliation(s)
- Marya Y Ornelas
- Department of Chemistry, University of Illinois at Urbana-Champaign, 600 S Matthews Avenue, Urbana, IL 61801, United States
| | - Jason E Cournoyer
- Department of Chemistry, University of Illinois at Urbana-Champaign, 600 S Matthews Avenue, Urbana, IL 61801, United States
| | - Stanley Bram
- Department of Chemistry, University of Illinois at Urbana-Champaign, 600 S Matthews Avenue, Urbana, IL 61801, United States
| | - Angad P Mehta
- Department of Chemistry, University of Illinois at Urbana-Champaign, 600 S Matthews Avenue, Urbana, IL 61801, United States; Institute for Genomic Biology, University of Illinois at Urbana, Champaign, United States; Cancer Center at Illinois, University of Illinois at Urbana, Champaign, United States.
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6
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Mengiste AA, Wilson RH, Weissman RF, Papa III LJ, Hendel SJ, Moore CL, Butty VL, Shoulders MD. Expanded MutaT7 toolkit efficiently and simultaneously accesses all possible transition mutations in bacteria. Nucleic Acids Res 2023; 51:e31. [PMID: 36715334 PMCID: PMC10085711 DOI: 10.1093/nar/gkad003] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 11/16/2022] [Accepted: 01/03/2023] [Indexed: 01/31/2023] Open
Abstract
Targeted mutagenesis mediated by nucleotide base deaminase-T7 RNA polymerase fusions has recently emerged as a novel and broadly useful strategy to power genetic diversification in the context of in vivo directed evolution campaigns. Here, we expand the utility of this approach by introducing a highly active adenosine deaminase-T7 RNA polymerase fusion protein (eMutaT7A→G), resulting in higher mutation frequencies to enable more rapid directed evolution. We also assess the benefits and potential downsides of using this more active mutator. We go on to show in Escherichia coli that adenosine deaminase-bearing mutators (MutaT7A→G or eMutaT7A→G) can be employed in tandem with a cytidine deaminase-bearing mutator (MutaT7C→T) to introduce all possible transition mutations simultaneously. We illustrate the efficacy of this in vivo mutagenesis approach by exploring mutational routes to antibacterial drug resistance. This work sets the stage for general application of optimized MutaT7 tools able to induce all types of transition mutations during in vivo directed evolution campaigns across diverse organisms.
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Affiliation(s)
- Amanuella A Mengiste
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Robert H Wilson
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Rachel F Weissman
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Louis J Papa III
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Samuel J Hendel
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Christopher L Moore
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Vincent L Butty
- BioMicroCenter, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Matthew D Shoulders
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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7
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Sellés Vidal L, Isalan M, Heap JT, Ledesma-Amaro R. A primer to directed evolution: current methodologies and future directions. RSC Chem Biol 2023; 4:271-291. [PMID: 37034405 PMCID: PMC10074555 DOI: 10.1039/d2cb00231k] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 01/18/2023] [Indexed: 01/30/2023] Open
Abstract
Directed evolution is one of the most powerful tools for protein engineering and functions by harnessing natural evolution, but on a shorter timescale. It enables the rapid selection of variants of biomolecules with properties that make them more suitable for specific applications. Since the first in vitro evolution experiments performed by Sol Spiegelman in 1967, a wide range of techniques have been developed to tackle the main two steps of directed evolution: genetic diversification (library generation), and isolation of the variants of interest. This review covers the main modern methodologies, discussing the advantages and drawbacks of each, and hence the considerations for designing directed evolution experiments. Furthermore, the most recent developments are discussed, showing how advances in the handling of ever larger library sizes are enabling new research questions to be tackled.
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Affiliation(s)
- Lara Sellés Vidal
- Imperial College Centre for Synthetic Biology, Imperial College London London SW7 2AZ UK
- Department of Bioengineering, Imperial College London London SW7 2AZ UK
| | - Mark Isalan
- Imperial College Centre for Synthetic Biology, Imperial College London London SW7 2AZ UK
- Department of Life Sciences, Imperial College London London SW7 2AZ UK
| | - John T Heap
- Imperial College Centre for Synthetic Biology, Imperial College London London SW7 2AZ UK
- Department of Life Sciences, Imperial College London London SW7 2AZ UK
- School of Life Sciences, The University of Nottingham, University Park Nottingham NG7 2RD UK
| | - Rodrigo 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
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8
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Radi MS, Munro LJ, Salcedo-Sora JE, Kim SH, Feist AM, Kell DB. Understanding Functional Redundancy and Promiscuity of Multidrug Transporters in E. coli under Lipophilic Cation Stress. MEMBRANES 2022; 12:1264. [PMID: 36557171 PMCID: PMC9783932 DOI: 10.3390/membranes12121264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 11/27/2022] [Accepted: 12/03/2022] [Indexed: 06/17/2023]
Abstract
Multidrug transporters (MDTs) are major contributors to microbial drug resistance and are further utilized for improving host phenotypes in biotechnological applications. Therefore, the identification of these MDTs and the understanding of their mechanisms of action in vivo are of great importance. However, their promiscuity and functional redundancy represent a major challenge towards their identification. Here, a multistep tolerance adaptive laboratory evolution (TALE) approach was leveraged to achieve this goal. Specifically, a wild-type E. coli K-12-MG1655 and its cognate knockout individual mutants ΔemrE, ΔtolC, and ΔacrB were evolved separately under increasing concentrations of two lipophilic cations, tetraphenylphosphonium (TPP+), and methyltriphenylphosphonium (MTPP+). The evolved strains showed a significant increase in MIC values of both cations and an apparent cross-cation resistance. Sequencing of all evolved mutants highlighted diverse mutational mechanisms that affect the activity of nine MDTs including acrB, mdtK, mdfA, acrE, emrD, tolC, acrA, mdtL, and mdtP. Besides regulatory mutations, several structural mutations were recognized in the proximal binding domain of acrB and the permeation pathways of both mdtK and mdfA. These details can aid in the rational design of MDT inhibitors to efficiently combat efflux-based drug resistance. Additionally, the TALE approach can be scaled to different microbes and molecules of medical and biotechnological relevance.
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Affiliation(s)
- Mohammad S. Radi
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Building 220, Kemitorvet, 2800 Kongens Lyngby, Denmark
| | - Lachlan J. Munro
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Building 220, Kemitorvet, 2800 Kongens Lyngby, Denmark
| | - Jesus E. Salcedo-Sora
- GeneMill, Shared Research Facilities, Faculty of Health and Life Sciences, University of Liverpool, Crown St., Liverpool L69 7ZB, UK
| | - Se Hyeuk Kim
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Building 220, Kemitorvet, 2800 Kongens Lyngby, Denmark
| | - Adam M. Feist
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Building 220, Kemitorvet, 2800 Kongens Lyngby, Denmark
- Department of Bioengineering, University of California, 9500 Gilman Drive, La Jolla, San Diego, CA 92093, USA
| | - Douglas B. Kell
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Building 220, Kemitorvet, 2800 Kongens Lyngby, Denmark
- Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, Faculty of Health and Life Sciences, University of Liverpool, Crown St., Liverpool L69 7ZB, UK
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9
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Velázquez E, Álvarez B, Fernández LÁ, de Lorenzo V. Hypermutation of specific genomic loci of Pseudomonas putida for continuous evolution of target genes. Microb Biotechnol 2022; 15:2309-2323. [PMID: 35695013 PMCID: PMC9437889 DOI: 10.1111/1751-7915.14098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 05/20/2022] [Accepted: 05/22/2022] [Indexed: 12/04/2022] Open
Abstract
The ability of T7 RNA polymerase (RNAPT7 ) fusions to cytosine deaminases (CdA) for entering C➔T changes in any DNA segment downstream of a T7 promoter was exploited for hyperdiversification of defined genomic portions of Pseudomonas putida KT2440. To this end, test strains were constructed in which the chromosomally encoded pyrF gene (the prokaryotic homologue of yeast URA3) was flanked by T7 transcription initiation and termination signals and also carried plasmids expressing constitutively either high-activity (lamprey's) or low-activity (rat's) CdA-RNAPT7 fusions. The DNA segment-specific mutagenic action of these fusions was then tested in strains lacking or not uracil-DNA glycosylase (UDG), that is ∆ung/ung+ variants. The resulting diversification was measured by counting single nucleotide changes in clones resistant to 5-fluoroorotic acid (5FOA), which otherwise is transformed by wild-type PyrF into a toxic compound. Although the absence of UDG dramatically increased mutagenic rates with both CdA-RNAPT7 fusions, the most active variant - pmCDA1 - caused extensive appearance of 5FOA-resistant colonies in the wild-type strain not limited to C➔T but including also a range of other changes. Furthermore, the presence/absence of UDG activity swapped cytosine deamination preference between DNA strands. These qualities provided the basis of a robust system for continuous evolution of preset genomic portions of P. putida and beyond.
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Affiliation(s)
- Elena Velázquez
- Systems Biology DepartmentCentro Nacional de Biotecnología (CNB‐CSIC)28049MadridSpain
| | - Beatriz Álvarez
- Microbiology DepartmentCentro Nacional de Biotecnología (CNB‐CSIC)28049MadridSpain
| | - Luis Ángel Fernández
- Microbiology DepartmentCentro Nacional de Biotecnología (CNB‐CSIC)28049MadridSpain
| | - Víctor de Lorenzo
- Systems Biology DepartmentCentro Nacional de Biotecnología (CNB‐CSIC)28049MadridSpain
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10
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Feng S, Liang L, Shen C, Lin D, Li J, Lyu L, Liang W, Zhong LL, Cook GM, Doi Y, Chen C, Tian GB. A CRISPR-guided mutagenic DNA polymerase strategy for the detection of antibiotic-resistant mutations in M. tuberculosis. MOLECULAR THERAPY - NUCLEIC ACIDS 2022; 29:354-367. [PMID: 35950213 PMCID: PMC9358013 DOI: 10.1016/j.omtn.2022.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 07/08/2022] [Indexed: 11/26/2022]
Abstract
A sharp increase in multidrug-resistant tuberculosis (MDR-TB) threatens human health. Spontaneous mutation in essential gene confers an ability of Mycobacterium tuberculosis resistance to anti-TB drugs. However, conventional laboratory strategies for identification and prediction of the mutations in this slowly growing species remain challenging. Here, by combining XCas9 nickase and the error-prone DNA polymerase A from M. tuberculosis, we constructed a CRISPR-guided DNA polymerase system, CAMPER, for effective site-directed mutagenesis of drug-target genes in mycobacteria. CAMPER was able to generate mutagenesis of all nucleotides at user-defined loci, and its bidirectional mutagenesis at nick sites allowed editing windows with lengths up to 80 nucleotides. Mutagenesis of drug-targeted genes in Mycobacterium smegmatis and M. tuberculosis with this system significantly increased the fraction of the antibiotic-resistant bacterial population to a level approximately 60- to 120-fold higher than that in unedited cells. Moreover, this strategy could facilitate the discovery of the mutation conferring antibiotic resistance and enable a rapid verification of the growth phenotype-mutation genotype association. Our data demonstrate that CAMPER facilitates targeted mutagenesis of genomic loci and thus may be useful for broad functions such as resistance prediction and development of novel TB therapies.
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11
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Zhang L, King E, Black WB, Heckmann CM, Wolder A, Cui Y, Nicklen F, Siegel JB, Luo R, Paul CE, Li H. Directed evolution of phosphite dehydrogenase to cycle noncanonical redox cofactors via universal growth selection platform. Nat Commun 2022; 13:5021. [PMID: 36028482 PMCID: PMC9418148 DOI: 10.1038/s41467-022-32727-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 08/13/2022] [Indexed: 11/09/2022] Open
Abstract
Noncanonical redox cofactors are attractive low-cost alternatives to nicotinamide adenine dinucleotide (phosphate) (NAD(P)+) in biotransformation. However, engineering enzymes to utilize them is challenging. Here, we present a high-throughput directed evolution platform which couples cell growth to the in vivo cycling of a noncanonical cofactor, nicotinamide mononucleotide (NMN+). We achieve this by engineering the life-essential glutathione reductase in Escherichia coli to exclusively rely on the reduced NMN+ (NMNH). Using this system, we develop a phosphite dehydrogenase (PTDH) to cycle NMN+ with ~147-fold improved catalytic efficiency, which translates to an industrially viable total turnover number of ~45,000 in cell-free biotransformation without requiring high cofactor concentrations. Moreover, the PTDH variants also exhibit improved activity with another structurally deviant noncanonical cofactor, 1-benzylnicotinamide (BNA+), showcasing their broad applications. Structural modeling prediction reveals a general design principle where the mutations and the smaller, noncanonical cofactors together mimic the steric interactions of the larger, natural cofactors NAD(P)+.
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Affiliation(s)
- Linyue Zhang
- Department of Chemical and Biomolecular Engineering, University of California Irvine, Irvine, CA, 92697, USA
| | - Edward King
- Department of Molecular Biology and Biochemistry, University of California Irvine, Irvine, CA, 92697, USA
| | - William B Black
- Department of Chemical and Biomolecular Engineering, University of California Irvine, Irvine, CA, 92697, USA
| | - Christian M Heckmann
- Biocatalysis, Department of Biotechnology, Delft University of Technology, 2629 HZ, Delft, Netherlands
| | - Allison Wolder
- Biocatalysis, Department of Biotechnology, Delft University of Technology, 2629 HZ, Delft, Netherlands
| | - Youtian Cui
- Department of Chemistry, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA
| | - Francis Nicklen
- Department of Chemical and Biomolecular Engineering, University of California Irvine, Irvine, CA, 92697, USA
| | - Justin B Siegel
- Department of Chemistry, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA
- Department of Biochemistry and Molecular Medicine, University of California, Davis, 2700 Stockton Boulevard, Suite 2102, Sacramento, CA, 95817, USA
- Genome Center, University of California, Davis, 451 Health Sciences Drive, Davis, CA, 95616, USA
| | - Ray Luo
- Department of Chemical and Biomolecular Engineering, University of California Irvine, Irvine, CA, 92697, USA
- Department of Molecular Biology and Biochemistry, University of California Irvine, Irvine, CA, 92697, USA
- Department of Biomedical Engineering, University of California Irvine, Irvine, CA, 92697, USA
- Department Materials Science and Engineering, University of California Irvine, Irvine, CA, 92697, USA
| | - Caroline E Paul
- Biocatalysis, Department of Biotechnology, Delft University of Technology, 2629 HZ, Delft, Netherlands
| | - Han Li
- Department of Chemical and Biomolecular Engineering, University of California Irvine, Irvine, CA, 92697, USA.
- Department of Biomedical Engineering, University of California Irvine, Irvine, CA, 92697, USA.
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12
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Molina RS, Rix G, Mengiste AA, Alvarez B, Seo D, Chen H, Hurtado J, Zhang Q, Donato García-García J, Heins ZJ, Almhjell PJ, Arnold FH, Khalil AS, Hanson AD, Dueber JE, Schaffer DV, Chen F, Kim S, Ángel Fernández L, Shoulders MD, Liu CC. In vivo hypermutation and continuous evolution. NATURE REVIEWS. METHODS PRIMERS 2022; 2:37. [PMID: 37073402 PMCID: PMC10108624 DOI: 10.1038/s43586-022-00130-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Rosana S. Molina
- Department of Biomedical Engineering, University of California, Irvine, CA 92617, USA
| | - Gordon Rix
- Department of Molecular Biology and Biochemistry, University of California, Irvine, CA 92697, USA
| | - Amanuella A. Mengiste
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA
| | - Beatriz Alvarez
- Department of Microbial Biotechnology, Centro Nacional de Biotecnología, Consejo Superior de Investigaciones Científicas (CNB-CSIC), Darwin 3, Campus UAM Cantoblanco, 28049 Madrid, Spain
| | - Daeje Seo
- Department of Chemistry, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea
| | - Haiqi Chen
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Juan Hurtado
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA
| | - Qiong Zhang
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA
| | - Jorge Donato García-García
- Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Av. General Ramon Corona 2514, Nuevo Mexico, C.P. 45138, Zapopan, Jalisco, Mexico
| | - Zachary J. Heins
- Biological Design Center, Boston University, Boston, Massachusetts, USA
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA
| | - Patrick J. Almhjell
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Frances H. Arnold
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Ahmad S. Khalil
- Biological Design Center, Boston University, Boston, Massachusetts, USA
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts, USA
| | - Andrew D. Hanson
- Horticultural Sciences Department, University of Florida, Gainesville, FL 32611, USA
| | - John E. Dueber
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA
- Innovative Genomics Institute, University of California Berkeley and San Francisco, Berkeley, CA, USA
- Biological Systems & Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - David V. Schaffer
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA
- Innovative Genomics Institute, University of California Berkeley and San Francisco, Berkeley, CA, USA
- Department of Chemical and Biomolecular Engineering, University of California Berkeley, Berkeley, CA, USA
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Fei Chen
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Seokhee Kim
- Department of Chemistry, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea
| | - Luis Ángel Fernández
- Department of Microbial Biotechnology, Centro Nacional de Biotecnología, Consejo Superior de Investigaciones Científicas (CNB-CSIC), Darwin 3, Campus UAM Cantoblanco, 28049 Madrid, Spain
| | - Matthew D. Shoulders
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA
| | - Chang C. Liu
- Department of Biomedical Engineering, University of California, Irvine, CA 92617, USA
- Department of Molecular Biology and Biochemistry, University of California, Irvine, CA 92697, USA
- Department of Chemistry, University of California, Irvine, CA 92617, USA
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13
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Membrane transporter identification and modulation via adaptive laboratory evolution. Metab Eng 2022; 72:376-390. [DOI: 10.1016/j.ymben.2022.05.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 05/12/2022] [Indexed: 12/12/2022]
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14
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McLure RJ, Radford SE, Brockwell DJ. High-throughput directed evolution: a golden era for protein science. TRENDS IN CHEMISTRY 2022. [DOI: 10.1016/j.trechm.2022.02.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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15
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Zhang HN, Xue JB, Wang AZL, Jiang HW, Merugu SB, Li DW, Tao SC. EASINESS: E. coli Assisted Speedy affINity-maturation Evolution SyStem. Front Immunol 2021; 12:747267. [PMID: 34925322 PMCID: PMC8677947 DOI: 10.3389/fimmu.2021.747267] [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: 07/26/2021] [Accepted: 11/10/2021] [Indexed: 11/13/2022] Open
Abstract
Antibodies are one of the most important groups of biomolecules for both clinical and basic research and have been developed as potential therapeutics. Affinity is the key feature for biological activity and clinical efficacy of an antibody, especially of therapeutic antibodies, and thus antibody affinity improvement is indispensable and still remains challenging. To address this issue, we developed the E. coli Assisted Speed affINity-maturation Evolution SyStem (EASINESS) for continuous directed evolution of Ag-Ab interactions. Two key components of EASINESS include a mutation system modified from error-prone DNA polymerase I (Pol I) that selectively mutates ColE1 plasmids in E. coli and a protein-protein interaction selection system from mDHFR split fragments. We designed a GCN4 variant which barely forms a homodimer, and during a single round of evolution, we reversed the homodimer formation activity from the GCN4 variant to verify the feasibility of EASINESS. We then selected a potential therapeutic antibody 18A4Hu and improved the affinity of the antibody (18A4Hu) to its target (ARG2) 12-fold in 7 days while requiring very limited hands-on time. Remarkably, these variants of 18A4Hu revealed a significant improved ability to inhibit melanoma pulmonary metastasis in a mouse model. These results indicate EASINESS could be as an attractive choice for antibody affinity maturation.
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Affiliation(s)
- Hai-Nan Zhang
- Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Jun-Biao Xue
- Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Aru Ze-Ling Wang
- Engineering Research Center of Cell and Therapeutic Antibody of Ministry of Education, School of Pharmacy, Shanghai Jiao Tong University, Shanghai, China
| | - He-Wei Jiang
- Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Siva Bhararth Merugu
- Engineering Research Center of Cell and Therapeutic Antibody of Ministry of Education, School of Pharmacy, Shanghai Jiao Tong University, Shanghai, China
| | - Da-Wei Li
- Engineering Research Center of Cell and Therapeutic Antibody of Ministry of Education, School of Pharmacy, Shanghai Jiao Tong University, Shanghai, China
| | - Sheng-Ce Tao
- Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
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16
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Xue Y, Braslavsky I, Quake SR. Temperature effect on polymerase fidelity. J Biol Chem 2021; 297:101270. [PMID: 34695416 PMCID: PMC8592868 DOI: 10.1016/j.jbc.2021.101270] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 09/24/2021] [Accepted: 09/29/2021] [Indexed: 11/21/2022] Open
Abstract
The discovery of extremophiles helped enable the development of groundbreaking technology such as PCR. Temperature variation is often an essential step of these technology platforms, but the effect of temperature on the error rate of polymerases from different origins is underexplored. Here, we applied high-throughput sequencing to profile the error rates of DNA polymerases from psychrophilic, mesophilic, and thermophilic origins with single-molecule resolution. We found that the reaction temperature substantially increases substitution and deletion error rates of psychrophilic and mesophilic DNA polymerases. Our motif analysis shows that the substitution error profiles cluster according to phylogenetic similarity of polymerases, not the reaction temperature, thus suggesting that the reaction temperature increases the global error rate of polymerases independent of the sequence context. Intriguingly, we also found that the DNA polymerase I of psychrophilic bacteria exhibits higher polymerization activity than its mesophilic ortholog across all temperature ranges, including down to -19 °C, which is well below the freezing temperature of water. Our results provide a useful reference for how the reaction temperature, a crucial parameter of biochemistry, can affect DNA polymerase fidelity in organisms adapted to a wide range of thermal environments.
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Affiliation(s)
- Yuan Xue
- Department of Bioengineering, Stanford University, Stanford, California, USA
| | - Ido Braslavsky
- The Robert H. Smith Faculty of Agriculture, Food and Environment, Institute of Biochemistry, Food Science and Nutrition, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Stephen R Quake
- Department of Bioengineering, Stanford University, Stanford, California, USA; Department of Applied Physics, Stanford University, Stanford, California, USA; Chan Zuckerberg Biohub, Mission Bay, California, USA.
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17
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Yi X, Khey J, Kazlauskas RJ, Travisano M. Plasmid hypermutation using a targeted artificial DNA replisome. SCIENCE ADVANCES 2021; 7:7/29/eabg8712. [PMID: 34272238 PMCID: PMC8284885 DOI: 10.1126/sciadv.abg8712] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 06/02/2021] [Indexed: 06/13/2023]
Abstract
Extensive exploration of a protein's sequence space for improved or new molecular functions requires in vivo evolution with large populations. But disentangling the evolution of a target protein from the rest of the proteome is challenging. Here, we designed a protein complex of a targeted artificial DNA replisome (TADR) that operates in live cells to processively replicate one strand of a plasmid with errors. It enhanced mutation rates of the target plasmid up to 2.3 × 105-fold with only a 78-fold increase in off-target mutagenesis. It was used to evolve itself to increase error rate and increase the efficiency of an efflux pump while simultaneously expanding the substrate repertoire. TADR enables multiple simultaneous substitutions to discover functions inaccessible by accumulating single substitutions, affording potential for solving hard problems in molecular evolution and developing biologic drugs and industrial catalysts.
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Affiliation(s)
- Xiao Yi
- BioTechnology Institute, University of Minnesota, Minneapolis, MN, USA.
| | - Joleen Khey
- Department of Plant and Microbial Biology, University of Minnesota, Minneapolis, MN, USA
| | - Romas J Kazlauskas
- BioTechnology Institute, University of Minnesota, Minneapolis, MN, USA.
- Department of Biochemistry Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Michael Travisano
- BioTechnology Institute, University of Minnesota, Minneapolis, MN, USA.
- Department of Ecology Evolution and Behavior, University of Minnesota, Minneapolis, MN, USA
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18
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Castle SD, Grierson CS, Gorochowski TE. Towards an engineering theory of evolution. Nat Commun 2021; 12:3326. [PMID: 34099656 PMCID: PMC8185075 DOI: 10.1038/s41467-021-23573-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 05/04/2021] [Indexed: 02/07/2023] Open
Abstract
Biological technologies are fundamentally unlike any other because biology evolves. Bioengineering therefore requires novel design methodologies with evolution at their core. Knowledge about evolution is currently applied to the design of biosystems ad hoc. Unless we have an engineering theory of evolution, we will neither be able to meet evolution's potential as an engineering tool, nor understand or limit its unintended consequences for our biological designs. Here, we propose the evotype as a helpful concept for engineering the evolutionary potential of biosystems, or other self-adaptive technologies, potentially beyond the realm of biology.
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Affiliation(s)
- Simeon D Castle
- School of Biological Sciences, University of Bristol, Bristol, UK
| | - Claire S Grierson
- School of Biological Sciences, University of Bristol, Bristol, UK
- BrisSynBio, University of Bristol, Bristol, UK
| | - Thomas E Gorochowski
- School of Biological Sciences, University of Bristol, Bristol, UK.
- BrisSynBio, University of Bristol, Bristol, UK.
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19
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Cheng C, Zhou M, Su Q, Steigmeyer A, Niu J. Genome editor-directed in vivo library diversification. Cell Chem Biol 2021; 28:1109-1118. [PMID: 34107297 DOI: 10.1016/j.chembiol.2021.05.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 04/08/2021] [Accepted: 05/10/2021] [Indexed: 10/21/2022]
Abstract
The generation of a library of variant genes is a prerequisite of directed evolution, a powerful tool for biomolecular engineering. As the number of all possible sequences often far exceeds the diversity of a practical library, methods that allow efficient library diversification in living cells are essential for in vivo directed evolution technologies to effectively sample the sequence space and allow hits to emerge. While traditional whole-genome mutagenesis often results in toxicity and the emergence of "cheater" mutations, recent developments that exploit the targeting and editing abilities of genome editors to facilitate in vivo library diversification have allowed for precise mutagenesis focused on specific genes of interest, higher mutational density, and reduced the occurrence of cheater mutations. This minireview summarizes recent advances in genome editor-directed in vivo library diversification and provides an outlook on their future applications in chemical biology.
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Affiliation(s)
- Cristina Cheng
- Department of Chemistry, Boston College, Chestnut Hill, MA 02467, USA
| | - Mi Zhou
- Department of Chemistry, Boston College, Chestnut Hill, MA 02467, USA
| | - Qiwen Su
- Department of Chemistry, Boston College, Chestnut Hill, MA 02467, USA
| | | | - Jia Niu
- Department of Chemistry, Boston College, Chestnut Hill, MA 02467, USA.
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20
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Wu Y, Jameel A, Xing XH, Zhang C. Advanced strategies and tools to facilitate and streamline microbial adaptive laboratory evolution. Trends Biotechnol 2021; 40:38-59. [PMID: 33958227 DOI: 10.1016/j.tibtech.2021.04.002] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 03/17/2021] [Accepted: 04/01/2021] [Indexed: 12/18/2022]
Abstract
Adaptive laboratory evolution (ALE) has served as a historic microbial engineering method that mimics natural selection to obtain desired microbes. The past decade has witnessed improvements in all aspects of ALE workflow, in terms of growth coupling, genotypic diversification, phenotypic selection, and genotype-phenotype mapping. The developing growth-coupling strategies facilitate ALE to a wider range of appealing traits. In vivo mutagenesis methods and multiplexed automated culture platforms open new gates to streamline its execution. Meanwhile, the application of multi-omics analyses and multiplexed genetic engineering promote efficient knowledge mining. This article provides a comprehensive and updated review of these advances, highlights newest significant applications, and discusses future improvements, aiming to provide a practical guide for implementation of novel, effective, and efficient ALE experiments.
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Affiliation(s)
- Yinan Wu
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
| | - Aysha Jameel
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
| | - Xin-Hui Xing
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China; Center for Synthetic and Systems Biology, Tsinghua University, Beijing, 100084, China
| | - Chong Zhang
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China; Center for Synthetic and Systems Biology, Tsinghua University, Beijing, 100084, China.
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21
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Systems for in vivo hypermutation: a quest for scale and depth in directed evolution. Curr Opin Chem Biol 2021; 64:20-26. [PMID: 33784581 DOI: 10.1016/j.cbpa.2021.02.008] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 02/18/2021] [Accepted: 02/20/2021] [Indexed: 12/14/2022]
Abstract
Traditional approaches to the directed evolution of genes of interest (GOIs) place constraints on the scale of experimentation and depth of evolutionary search reasonably achieved. Engineered genetic systems that dramatically elevate the mutation of target GOIs in vivo relieve these constraints by enabling continuous evolution, affording new strategies in the exploration of sequence space and fitness landscapes for GOIs. We describe various in vivo hypermutation systems for continuous evolution, discuss how different architectures for in vivo hypermutation facilitate evolutionary search scale and depth in their application to problems in protein evolution and engineering, and outline future opportunities for the field.
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22
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Zhang Y, Ding W, Wang Z, Zhao H, Shi S. Development of Host-Orthogonal Genetic Systems for Synthetic Biology. Adv Biol (Weinh) 2021; 5:e2000252. [PMID: 33729696 DOI: 10.1002/adbi.202000252] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 11/18/2020] [Indexed: 12/17/2022]
Abstract
The construction of a host-orthogonal genetic system can not only minimize the impact of host-specific nuances on fine-tuning of gene expression, but also expand cellular functions such as in vivo continuous evolution of genes based on an error-prone DNA polymerase. It represents an emerging powerful approach for making biology easier to engineer. In this review, the recent advances are described on the design of genetic systems that can be stably inherited in the host cells and are responsible for important biological processes including DNA replication, RNA transcription, protein translation, and gene regulation. Their applications in synthetic biology are summarized and the future challenges and opportunities are discussed in developing such systems.
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Affiliation(s)
- Yang Zhang
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, P. R. China
| | - Wentao Ding
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, P. R. China.,Key Laboratory of Food Nutrition and Safety (Tianjin University of Science and Technology) Ministry of Education, College of Food Engineering and Biotechnology, Tianjin University of Science and Technology, No. 29, 13th Avenue, TEDA, Tianjin, 300457, P. R. China
| | - Zhihui Wang
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, P. R. China
| | - Huimin Zhao
- Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Shuobo Shi
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, P. R. China
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23
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Álvarez B, Mencía M, de Lorenzo V, Fernández LÁ. In vivo diversification of target genomic sites using processive base deaminase fusions blocked by dCas9. Nat Commun 2020; 11:6436. [PMID: 33353963 PMCID: PMC7755918 DOI: 10.1038/s41467-020-20230-z] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Accepted: 11/20/2020] [Indexed: 02/07/2023] Open
Abstract
In vivo mutagenesis systems accelerate directed protein evolution but often show restricted capabilities and deleterious off-site mutations on cells. To overcome these limitations, here we report an in vivo platform to diversify specific DNA segments based on protein fusions between various base deaminases (BD) and the T7 RNA polymerase (T7RNAP) that recognizes a cognate promoter oriented towards the target sequence. Transcriptional elongation of these fusions generates transitions C to T or A to G on both DNA strands and in long DNA segments. To delimit the boundaries of the diversified DNA, the catalytically dead Cas9 (dCas9) is tethered with custom-designed crRNAs as a "roadblock" for BD-T7RNAP elongation. Using this T7-targeted dCas9-limited in vivo mutagenesis (T7-DIVA) system, rapid molecular evolution of the antibiotic resistance gene TEM-1 is achieved. While the efficiency is demonstrated in E. coli, the system can be adapted to a variety of bacterial and eukaryotic hosts.
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Affiliation(s)
- Beatriz Álvarez
- Department of Microbial Biotechnology, Centro Nacional de Biotecnología, Consejo Superior de Investigaciones Científicas (CNB-CSIC), Darwin 3, Campus UAM Cantoblanco, 28049, Madrid, Spain
| | - Mario Mencía
- Centro de Biología Molecular "Severo Ochoa" (Consejo Superior de Investigaciones Científicas - Universidad Autónoma de Madrid), Nicolas Cabrera 1, Campus UAM Cantoblanco, 28049, Madrid, Spain
| | - Víctor de Lorenzo
- Systems Biology Program, Centro Nacional de Biotecnología, Consejo Superior de Investigaciones Científicas (CNB-CSIC), Darwin 3, Campus UAM Cantoblanco, 28049, Madrid, Spain
| | - Luis Ángel Fernández
- Department of Microbial Biotechnology, Centro Nacional de Biotecnología, Consejo Superior de Investigaciones Científicas (CNB-CSIC), Darwin 3, Campus UAM Cantoblanco, 28049, Madrid, Spain.
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24
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Csörgő B, Nyerges A, Pál C. Targeted mutagenesis of multiple chromosomal regions in microbes. Curr Opin Microbiol 2020; 57:22-30. [PMID: 32599531 PMCID: PMC7613694 DOI: 10.1016/j.mib.2020.05.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Revised: 05/18/2020] [Accepted: 05/20/2020] [Indexed: 12/20/2022]
Abstract
Directed evolution allows the effective engineering of proteins, biosynthetic pathways, and cellular functions. Traditional plasmid-based methods generally subject one or occasionally multiple genes-of-interest to mutagenesis, require time-consuming manual interventions, and the genes that are subjected to mutagenesis are outside of their native genomic context. Other methods mutagenize the whole genome unselectively which may distort the outcome. Recent recombineering- and CRISPR-based technologies radically change this field by allowing exceedingly high mutation rates at multiple, predefined loci in their native genomic context. In this review, we focus on recent technologies that potentially allow accelerated tunable mutagenesis at multiple genomic loci in the native genomic context of these target sequences. These technologies will be compared by four main criteria, including the scale of mutagenesis, portability to multiple microbial species, off-target mutagenesis, and cost-effectiveness. Finally, we discuss how these technical advances open new avenues in basic research and biotechnology.
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Affiliation(s)
- Bálint Csörgő
- Department of Microbiology and Immunology, University of California, San Francisco, 94143, San Francisco, CA, USA; Genome Biology Unit, European Molecular Biology Laboratory, 69117, Heidelberg, Germany.
| | - Akos Nyerges
- Synthetic and Systems Biology Unit, Biological Research Centre, 6726, Szeged, Hungary; Department of Genetics, Harvard Medical School, 02115, Boston, MA, USA
| | - Csaba Pál
- Synthetic and Systems Biology Unit, Biological Research Centre, 6726, Szeged, Hungary.
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25
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Lee S, Kim P. Current Status and Applications of Adaptive Laboratory Evolution in Industrial Microorganisms. J Microbiol Biotechnol 2020; 30:793-803. [PMID: 32423186 PMCID: PMC9728180 DOI: 10.4014/jmb.2003.03072] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 05/03/2020] [Indexed: 12/15/2022]
Abstract
Adaptive laboratory evolution (ALE) is an evolutionary engineering approach in artificial conditions that improves organisms through the imitation of natural evolution. Due to the development of multi-level omics technologies in recent decades, ALE can be performed for various purposes at the laboratory level. This review delineates the basics of the experimental design of ALE based on several ALE studies of industrial microbial strains and updates current strategies combined with progressed metabolic engineering, in silico modeling and automation to maximize the evolution efficiency. Moreover, the review sheds light on the applicability of ALE as a strain development approach that complies with non-recombinant preferences in various food industries. Overall, recent progress in the utilization of ALE for strain development leading to successful industrialization is discussed.
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Affiliation(s)
- SuRin Lee
- Department of Biotechnology, the Catholic University of Korea, Gyeonggi 14662, Republic of Korea
| | - Pil Kim
- Department of Biotechnology, the Catholic University of Korea, Gyeonggi 14662, Republic of Korea,Corresponding author Phone : +82-2164-4922 Fax : +82-2-2164-4865 E-mail:
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26
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Brödel AK, Rodrigues R, Jaramillo A, Isalan M. Accelerated evolution of a minimal 63-amino acid dual transcription factor. SCIENCE ADVANCES 2020; 6:eaba2728. [PMID: 32577520 PMCID: PMC7286687 DOI: 10.1126/sciadv.aba2728] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 04/14/2020] [Indexed: 05/13/2023]
Abstract
Transcription factors control gene expression in all life. This raises the question of what is the smallest protein that can support such activity. In nature, Cro from bacteriophage λ is one of the smallest known repressors (66 amino acids), and activators are typically much larger (e.g., λ cI, 237 amino acids). Previous efforts to engineer a minimal activator from λ Cro resulted in no activity in vivo in cells. In this study, we show that directed evolution results in a new Cro activator-repressor that functions as efficiently as λ cI in vivo. To achieve this, we develop phagemid-assisted continuous evolution (PACEmid). We find that a peptide as small as 63 amino acids functions efficiently as an activator and/or repressor. To our knowledge, this is the smallest protein activator that enables polymerase recruitment, highlighting the capacity of transcription factors to evolve from very short peptide sequences.
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Affiliation(s)
- Andreas K. Brödel
- Department of Life Sciences, Imperial College London, London SW7 2AZ, UK
| | - Rui Rodrigues
- Warwick Integrative Synthetic Biology Centre and School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK
| | - Alfonso Jaramillo
- Warwick Integrative Synthetic Biology Centre and School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK
- CNRS-UMR8030, Laboratoire iSSB and Université Paris-Saclay and Université d’Évry and CEA, DRF, IG, Genoscope, Évry 91000, France
- Institute for Integrative Systems Biology (I2SysBio), University of Valencia-CSIC, 46980 Paterna, Spain
| | - Mark Isalan
- Department of Life Sciences, Imperial College London, London SW7 2AZ, UK
- Corresponding author.
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27
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The developing toolkit of continuous directed evolution. Nat Chem Biol 2020; 16:610-619. [DOI: 10.1038/s41589-020-0532-y] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 03/27/2020] [Indexed: 12/14/2022]
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28
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Yi X, Kazlauskas R, Travisano M. Evolutionary innovation using EDGE, a system for localized elevated mutagenesis. PLoS One 2020; 15:e0232330. [PMID: 32353078 PMCID: PMC7192385 DOI: 10.1371/journal.pone.0232330] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 04/14/2020] [Indexed: 11/19/2022] Open
Abstract
Mutations arising across the whole genome can hinder the emergence of evolutionary innovation required for adaptation because many mutations are deleterious. This trade-off is overcome by elevated mutagenesis to localized loci. Examples include phase variation and diversity-generating retroelements. However, these mechanisms are rare in nature; and all have narrow mutational spectra limiting evolutionary innovation. Here, we engineer a platform of Experimental Designed Genic Evolution (EDGE) to study the potential for evolutionary novelty at a single locus. Experimental evolution with EDGE shows that bacterial resistance to a novel antibiotic readily evolves, provided that elevated mutagenesis is focused on a relevant gene. A model is proposed to account for the cost and benefit of such single loci to adaptation in a changing environment and explains their high mutation rates, limited innovation, and the rarity of localized mutagenesis in nature. Overall, our results suggest that localized mutation systems can facilitate continuing adaptive evolution without necessarily restricting the spectrum of mutations. EDGE has utility in dissecting the complex process of adaptation with its localized, efficient evolution.
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Affiliation(s)
- Xiao Yi
- BioTechnology Institute, University of Minnesota, St. Paul, Minnesota, United States of America
| | - Romas Kazlauskas
- BioTechnology Institute, University of Minnesota, St. Paul, Minnesota, United States of America
- Biochemistry, Molecular Biology and Biophysics, University of Minnesota, St. Paul, Minnesota, United States of America
| | - Michael Travisano
- BioTechnology Institute, University of Minnesota, St. Paul, Minnesota, United States of America
- Ecology, Evolution and Behavior, University of Minnesota, St. Paul, Minnesota, United States of America
- * E-mail:
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29
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Tools and systems for evolutionary engineering of biomolecules and microorganisms. ACTA ACUST UNITED AC 2019; 46:1313-1326. [DOI: 10.1007/s10295-019-02191-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Accepted: 05/20/2019] [Indexed: 12/28/2022]
Abstract
Abstract
Evolutionary approaches have been providing solutions to various bioengineering challenges in an efficient manner. In addition to traditional adaptive laboratory evolution and directed evolution, recent advances in synthetic biology and fluidic systems have opened a new era of evolutionary engineering. Synthetic genetic circuits have been created to control mutagenesis and enable screening of various phenotypes, particularly metabolite production. Fluidic systems can be used for high-throughput screening and multiplexed continuous cultivation of microorganisms. Moreover, continuous directed evolution has been achieved by combining all the steps of evolutionary engineering. Overall, modern tools and systems for evolutionary engineering can be used to establish the artificial equivalent to natural evolution for various research applications.
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30
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de Paz AM, Cybulski TR, Marblestone AH, Zamft BM, Church GM, Boyden ES, Kording KP, Tyo KEJ. High-resolution mapping of DNA polymerase fidelity using nucleotide imbalances and next-generation sequencing. Nucleic Acids Res 2019; 46:e78. [PMID: 29718339 PMCID: PMC6061839 DOI: 10.1093/nar/gky296] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Accepted: 04/12/2018] [Indexed: 02/06/2023] Open
Abstract
DNA polymerase fidelity is affected by both intrinsic properties and environmental conditions. Current strategies for measuring DNA polymerase error rate in vitro are constrained by low error subtype sensitivity, poor scalability, and lack of flexibility in types of sequence contexts that can be tested. We have developed the Magnification via Nucleotide Imbalance Fidelity (MagNIFi) assay, a scalable next-generation sequencing assay that uses a biased deoxynucleotide pool to quantitatively shift error rates into a range where errors are frequent and hence measurement is robust, while still allowing for accurate mapping to error rates under typical conditions. This assay is compatible with a wide range of fidelity-modulating conditions, and enables high-throughput analysis of sequence context effects on base substitution and single nucleotide deletion fidelity using a built-in template library. We validate this assay by comparing to previously established fidelity metrics, and use it to investigate neighboring sequence-mediated effects on fidelity for several DNA polymerases. Through these demonstrations, we establish the MagNIFi assay for robust, high-throughput analysis of DNA polymerase fidelity.
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Affiliation(s)
- Alexandra M de Paz
- Interdisciplinary Biological Sciences Program, Northwestern University, Evanston, IL 60208, USA
| | - Thaddeus R Cybulski
- Interdepartmental Neuroscience Program, Northwestern University, Chicago, IL 60611, USA
| | - Adam H Marblestone
- Biophysics Program, Harvard University, Boston, MA 02115, USA.,Wyss Institute, Harvard University, Boston, MA 02115, USA
| | - Bradley M Zamft
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - George M Church
- Biophysics Program, Harvard University, Boston, MA 02115, USA.,Wyss Institute, Harvard University, Boston, MA 02115, USA.,Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Edward S Boyden
- Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.,Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.,McGovern Institute, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Konrad P Kording
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Keith E J Tyo
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208, USA
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31
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Kick-starting evolution efficiency with an autonomous evolution mutation system. Metab Eng 2019; 54:127-136. [DOI: 10.1016/j.ymben.2019.03.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 03/19/2019] [Accepted: 03/30/2019] [Indexed: 01/25/2023]
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32
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Morcillo-Parra MÁ, Beltran G, Mas A, Torija MJ. Determination of melatonin by a whole cell bioassay in fermented beverages. Sci Rep 2019; 9:9120. [PMID: 31235891 PMCID: PMC6591416 DOI: 10.1038/s41598-019-45645-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 06/12/2019] [Indexed: 11/09/2022] Open
Abstract
Melatonin is a bioactive compound that is present in fermented beverages, such as wine and beer, at concentrations ranging from picograms to nanograms per mL of product. The purpose of this study was to optimize a novel fluorescent bioassay for detecting melatonin based on a cell line that contains the human melatonin receptor 1B gene and to compare these results with LC-MS/MS as a reference method. Conditions that could affect cell growth and detection (cell number per well, stimulation time, presence or absence of fetal bovine serum and adhesion of cells) were tested in the TANGO® cell line. Food matrices (wine and grape must) could not be directly used for the cell line due to low response. Therefore, for the determination of melatonin in food samples, an extraction procedure was required before conducting the assay. We demonstrated an improvement in melatonin determination by the cell-based bioassay due to increased sensitivity and specificity and improved quantification in complex matrices. Therefore, this method is a good alternative to determine melatonin content in some food samples, especially for those containing very low melatonin levels.
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Affiliation(s)
| | - Gemma Beltran
- Departament de Bioquimica i Biotecnologia, Facultat d'Enologia, Universitat Rovira i Virgili, Tarragona, Spain
| | - Albert Mas
- Departament de Bioquimica i Biotecnologia, Facultat d'Enologia, Universitat Rovira i Virgili, Tarragona, Spain
| | - María-Jesús Torija
- Departament de Bioquimica i Biotecnologia, Facultat d'Enologia, Universitat Rovira i Virgili, Tarragona, Spain.
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33
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Abstract
The combination of modern biotechnologies such as DNA synthesis, λ red recombineering, CRISPR-based editing and next-generation high-throughput sequencing increasingly enables precise manipulation of genes and genomes. Beyond rational design, these technologies also enable the targeted, and potentially continuous, introduction of multiple mutations. While this might seem to be merely a return to natural selection, the ability to target evolution greatly reduces fitness burdens and focuses mutation and selection on those genes and traits that best contribute to a desired phenotype, ultimately throwing evolution into fast forward.
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34
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Tan ZL, Zheng X, Wu Y, Jian X, Xing X, Zhang C. In vivo continuous evolution of metabolic pathways for chemical production. Microb Cell Fact 2019; 18:82. [PMID: 31088458 PMCID: PMC6518619 DOI: 10.1186/s12934-019-1132-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Accepted: 05/04/2019] [Indexed: 01/07/2023] Open
Abstract
Microorganisms have long been used as chemical plant to convert simple substrates into complex molecules. Various metabolic pathways have been optimised over the past few decades, but the progresses were limited due to our finite knowledge on metabolism. Evolution is a knowledge-free genetic randomisation approach, employed to improve the chemical production in microbial cell factories. However, evolution of large, complex pathway was a great challenge. The invention of continuous culturing systems and in vivo genetic diversification technologies have changed the way how laboratory evolution is conducted, render optimisation of large, complex pathway possible. In vivo genetic diversification, phenotypic selection, and continuous cultivation are the key elements in in vivo continuous evolution, where any human intervention in the process is prohibited. This approach is crucial in highly efficient evolution strategy of metabolic pathway evolution.
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Affiliation(s)
- Zheng Lin Tan
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, 100084 China
- School of Life Science and Technology, Tokyo Institute of Technology, Yokohama City, Kanagawa Prefecture, 226-8503 Japan
- Laboratory of Future Interdisciplinary Research and Science Technology, Tokyo Institute of Technology, Yokohama City, Kanagawa Prefecture, 226-8503 Japan
| | - Xiang Zheng
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, 100084 China
| | - Yinan Wu
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, 100084 China
| | - Xingjin Jian
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, 100084 China
| | - Xinhui Xing
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, 100084 China
- Center for Synthetic and Systems Biology, Tsinghua University, Beijing, 100084 China
| | - Chong Zhang
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, 100084 China
- Center for Synthetic and Systems Biology, Tsinghua University, Beijing, 100084 China
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35
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Yang J, Kim B, Kim GY, Jung GY, Seo SW. Synthetic biology for evolutionary engineering: from perturbation of genotype to acquisition of desired phenotype. BIOTECHNOLOGY FOR BIOFUELS 2019; 12:113. [PMID: 31086565 PMCID: PMC6506968 DOI: 10.1186/s13068-019-1460-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Accepted: 05/02/2019] [Indexed: 06/09/2023]
Abstract
With the increased attention on bio-based industry, demands for techniques that enable fast and effective strain improvement have been dramatically increased. Evolutionary engineering, which is less dependent on biological information, has been applied to strain improvement. Currently, synthetic biology has made great innovations in evolutionary engineering, particularly in the development of synthetic tools for phenotypic perturbation. Furthermore, discovering biological parts with regulatory roles and devising novel genetic circuits have promoted high-throughput screening and selection. In this review, we first briefly explain basics of synthetic biology tools for mutagenesis and screening of improved variants, and then describe how these strategies have been improved and applied to phenotypic engineering. Evolutionary engineering using advanced synthetic biology tools will enable further innovation in phenotypic engineering through the development of novel genetic parts and assembly into well-designed logic circuits that perform complex tasks.
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Affiliation(s)
- Jina Yang
- School of Chemical and Biological Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826 South Korea
- Institute of Chemical Process, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826 South Korea
| | - Beomhee Kim
- School of Chemical and Biological Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826 South Korea
| | - Gi Yeon Kim
- Interdisciplinary Program in Bioengineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826 South Korea
| | - Gyoo Yeol Jung
- Department of Chemical Engineering and School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology, 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk 37673 South Korea
| | - Sang Woo Seo
- School of Chemical and Biological Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826 South Korea
- Institute of Chemical Process, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826 South Korea
- Interdisciplinary Program in Bioengineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826 South Korea
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36
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Abbott TR, Qi LS. Evolution at the Cutting Edge: CRISPR-Mediated Directed Evolution. Mol Cell 2019; 72:402-403. [PMID: 30388408 DOI: 10.1016/j.molcel.2018.10.027] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
In a recent issue of Nature, Halperin et al. (2018) develop a new technology to continuously diversify specific genomic loci by combining CRISPR-Cas9 with error-prone DNA polymerases.
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Affiliation(s)
- Timothy R Abbott
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Lei S Qi
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Department of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA; Stanford ChEM-H, Stanford University, Stanford, CA 94305, USA.
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37
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Zhong Z, Liu CC. Probing pathways of adaptation with continuous evolution. CURRENT OPINION IN SYSTEMS BIOLOGY 2019; 14:18-24. [PMID: 31608311 PMCID: PMC6788780 DOI: 10.1016/j.coisb.2019.02.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Ziwei Zhong
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA 92697, USA
| | - Chang C. Liu
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA 92697, USA
- Department of Chemistry, University of California, Irvine, Irvine, CA 92697, USA
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA 92697, USA
- Lead Contact
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38
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Fitzgerald DM, Rosenberg SM. What is mutation? A chapter in the series: How microbes "jeopardize" the modern synthesis. PLoS Genet 2019; 15:e1007995. [PMID: 30933985 PMCID: PMC6443146 DOI: 10.1371/journal.pgen.1007995] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Mutations drive evolution and were assumed to occur by chance: constantly, gradually, roughly uniformly in genomes, and without regard to environmental inputs, but this view is being revised by discoveries of molecular mechanisms of mutation in bacteria, now translated across the tree of life. These mechanisms reveal a picture of highly regulated mutagenesis, up-regulated temporally by stress responses and activated when cells/organisms are maladapted to their environments-when stressed-potentially accelerating adaptation. Mutation is also nonrandom in genomic space, with multiple simultaneous mutations falling in local clusters, which may allow concerted evolution-the multiple changes needed to adapt protein functions and protein machines encoded by linked genes. Molecular mechanisms of stress-inducible mutation change ideas about evolution and suggest different ways to model and address cancer development, infectious disease, and evolution generally.
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Affiliation(s)
- Devon M. Fitzgerald
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
- Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas, United States of America
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, United States of America
- The Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Susan M. Rosenberg
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
- Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas, United States of America
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, United States of America
- The Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, United States of America
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39
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Ravikumar A, Arzumanyan GA, Obadi MKA, Javanpour AA, Liu CC. Scalable, Continuous Evolution of Genes at Mutation Rates above Genomic Error Thresholds. Cell 2018; 175:1946-1957.e13. [PMID: 30415839 PMCID: PMC6343851 DOI: 10.1016/j.cell.2018.10.021] [Citation(s) in RCA: 146] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2018] [Revised: 08/16/2018] [Accepted: 10/04/2018] [Indexed: 11/17/2022]
Abstract
Directed evolution is a powerful approach for engineering biomolecules and understanding adaptation. However, experimental strategies for directed evolution are notoriously labor intensive and low throughput, limiting access to demanding functions, multiple functions in parallel, and the study of molecular evolution in replicate. We report OrthoRep, an orthogonal DNA polymerase-plasmid pair in yeast that stably mutates ∼100,000-fold faster than the host genome in vivo, exceeding the error threshold of genomic replication that causes single-generation extinction. User-defined genes in OrthoRep continuously and rapidly evolve through serial passaging, a highly straightforward and scalable process. Using OrthoRep, we evolved drug-resistant malarial dihydrofolate reductases (DHFRs) in 90 independent replicates. We uncovered a more complex fitness landscape than previously realized, including common adaptive trajectories constrained by epistasis, rare outcomes that avoid a frequent early adaptive mutation, and a suboptimal fitness peak that occasionally traps evolving populations. OrthoRep enables a new paradigm of routine, high-throughput evolution of biomolecular and cellular function.
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Affiliation(s)
- Arjun Ravikumar
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA 92697, USA
| | - Garri A Arzumanyan
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA 92697, USA
| | - Muaeen K A Obadi
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA 92697, USA
| | - Alex A Javanpour
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA 92697, USA
| | - Chang C Liu
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA 92697, USA; Department of Chemistry, University of California, Irvine, Irvine, CA 92697, USA; Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA 92697, USA.
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40
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Abstract
While several genome editing methods exist, few are suitable for the continuous evolution of targeted sequences. Here we develop bacterial retroelements known as "retrons" for the dynamic, in vivo editing and mutagenesis of targeted genes. We first optimized retrons' ability to introduce preprogrammed mutations, optimizing both their expression and the host machinery that interacts with them to increase the incorporation frequency of mutations 78-fold over rates previously reported in synthetic systems. The optimized system is capable of simultaneously overwriting 13 separate positions spanning a 31-base length, and is for the first time shown to yield targeted deletions and insertions. To engineer retrons as a tool to introduce novel, unprogrammed mutations in specific targeted regions, we expressed them under a mutagenic T7 RNA polymerase. This coupled mutagenic T7 RNA polymerase-retron system enabled the evolution of diverse variants of environmentally selected antibiotic resistance genes, producing mutation rates in the targeted region 190-fold higher than background cellular mutation rates, potentially enabling the dynamic, continuous self-evolution of selected phenotypes.
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41
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Deatherage DE, Leon D, Rodriguez ÁE, Omar SK, Barrick JE. Directed evolution of Escherichia coli with lower-than-natural plasmid mutation rates. Nucleic Acids Res 2018; 46:9236-9250. [PMID: 30137492 PMCID: PMC6158703 DOI: 10.1093/nar/gky751] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Revised: 08/03/2018] [Accepted: 08/08/2018] [Indexed: 12/24/2022] Open
Abstract
Unwanted evolution of designed DNA sequences limits metabolic and genome engineering efforts. Engineered functions that are burdensome to host cells and slow their replication are rapidly inactivated by mutations, and unplanned mutations with unpredictable effects often accumulate alongside designed changes in large-scale genome editing projects. We developed a directed evolution strategy, Periodic Reselection for Evolutionarily Reliable Variants (PResERV), to discover mutations that prolong the function of a burdensome DNA sequence in an engineered organism. Here, we used PResERV to isolate Escherichia coli cells that replicate ColE1-type plasmids with higher fidelity. We found mutations in DNA polymerase I and in RNase E that reduce plasmid mutation rates by 6- to 30-fold. The PResERV method implicitly selects to maintain the growth rate of host cells, and high plasmid copy numbers and gene expression levels are maintained in some of the evolved E. coli strains, indicating that it is possible to improve the genetic stability of cellular chassis without encountering trade-offs in other desirable performance characteristics. Utilizing these new antimutator E. coli and applying PResERV to other organisms in the future promises to prevent evolutionary failures and unpredictability to provide a more stable genetic foundation for synthetic biology.
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Affiliation(s)
- Daniel E Deatherage
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX 78712, USA
| | - Dacia Leon
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX 78712, USA
| | - Álvaro E Rodriguez
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX 78712, USA
| | - Salma K Omar
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX 78712, USA
| | - Jeffrey E Barrick
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX 78712, USA
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42
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Moore CL, Papa LJ, Shoulders MD. A Processive Protein Chimera Introduces Mutations across Defined DNA Regions In Vivo. J Am Chem Soc 2018; 140:11560-11564. [PMID: 29991261 PMCID: PMC6166643 DOI: 10.1021/jacs.8b04001] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Laboratory time scale evolution in vivo relies on the generation of large, mutationally diverse gene libraries to rapidly explore biomolecule sequence landscapes. Traditional global mutagenesis methods are problematic because they introduce many off-target mutations that are often lethal and can engender false positives. We report the development and application of the MutaT7 chimera, a potent and highly targeted in vivo mutagenesis agent. MutaT7 utilizes a DNA-damaging cytidine deaminase fused to a processive RNA polymerase to continuously direct mutations to specific, well-defined DNA regions of any relevant length. MutaT7 thus provides a mechanism for in vivo targeted mutagenesis across multi-kb DNA sequences. MutaT7 should prove useful in diverse organisms, opening the door to new types of in vivo evolution experiments.
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Affiliation(s)
- Christopher L Moore
- Department of Chemistry , Massachusetts Institute of Technology , 77 Massachusetts Avenue , Cambridge , Massachusetts 02139 , United States
| | - Louis J Papa
- Department of Chemistry , Massachusetts Institute of Technology , 77 Massachusetts Avenue , Cambridge , Massachusetts 02139 , United States
| | - Matthew D Shoulders
- Department of Chemistry , Massachusetts Institute of Technology , 77 Massachusetts Avenue , Cambridge , Massachusetts 02139 , United States
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43
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Otoupal PB, Chatterjee A. CRISPR Gene Perturbations Provide Insights for Improving Bacterial Biofuel Tolerance. Front Bioeng Biotechnol 2018; 6:122. [PMID: 30234107 PMCID: PMC6131188 DOI: 10.3389/fbioe.2018.00122] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Accepted: 08/14/2018] [Indexed: 11/13/2022] Open
Abstract
Economically-viable biofuel production is often limited by low levels of microbial tolerance to high biofuel concentrations. Here we demonstrate the first application of deactivated CRISPR perturbations of gene expression to improve Escherichia coli biofuel tolerance. We construct a library of 31 unique CRISPR inhibitions and activations of gene expression in E. coli and explore their impacts on growth during 10 days of exposure to n-butanol and n-hexane. We show that perturbation of metabolism and membrane-related genes induces the greatest impacts on growth in n-butanol, as does perturbation of redox-related genes in n-hexanes. We identify uncharacterized genes yjjZ and yehS with strong potential for improving tolerance to both biofuels. Perturbations demonstrated significant temporal dependencies, suggesting that rationally designing time-sensitive gene circuits can optimize tolerance. We also introduce a sgRNA-specific hyper-mutator phenotype (~2,600-fold increase) into our perturbation strains using error-prone Pol1. We show that despite this change, strains exhibited similar growth phenotypes in n-butanol as before, demonstrating the robustness of CRISPR perturbations during prolonged use. Collectively, these results demonstrate the potential of CRISPR manipulation of gene expression for improving biofuel tolerance and provide constructive starting points for optimization of biofuel producing microorganisms.
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Affiliation(s)
- Peter B Otoupal
- Department of Chemical and Biological Engineering, University of Colorado at Boulder, Boulder, CO, United States
| | - Anushree Chatterjee
- Department of Chemical and Biological Engineering, University of Colorado at Boulder, Boulder, CO, United States.,BioFrontiers Institute, University of Colorado at Boulder, Boulder, CO, United States
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44
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Halperin SO, Tou CJ, Wong EB, Modavi C, Schaffer DV, Dueber JE. CRISPR-guided DNA polymerases enable diversification of all nucleotides in a tunable window. Nature 2018; 560:248-252. [PMID: 30069054 DOI: 10.1038/s41586-018-0384-8] [Citation(s) in RCA: 193] [Impact Index Per Article: 32.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Accepted: 06/19/2018] [Indexed: 12/24/2022]
Abstract
The capacity to diversify genetic codes advances our ability to understand and engineer biological systems1,2. A method for continuously diversifying user-defined regions of a genome would enable forward genetic approaches in systems that are not amenable to efficient homology-directed oligonucleotide integration. It would also facilitate the rapid evolution of biotechnologically useful phenotypes through accelerated and parallelized rounds of mutagenesis and selection, as well as cell-lineage tracking through barcode mutagenesis. Here we present EvolvR, a system that can continuously diversify all nucleotides within a tunable window length at user-defined loci. This is achieved by directly generating mutations using engineered DNA polymerases targeted to loci via CRISPR-guided nickases. We identified nickase and polymerase variants that offer a range of targeted mutation rates that are up to 7,770,000-fold greater than rates seen in wild-type cells, and editing windows with lengths of up to 350 nucleotides. We used EvolvR to identify novel ribosomal mutations that confer resistance to the antibiotic spectinomycin. Our results demonstrate that CRISPR-guided DNA polymerases enable multiplexed and continuous diversification of user-defined genomic loci, which will be useful for a broad range of basic and biotechnological applications.
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Affiliation(s)
- Shakked O Halperin
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA.,University of California, Berkeley-University of California, San Francisco Graduate Program in Bioengineering, University of California, Berkeley, Berkeley, CA, USA.,Innovative Genomics Institute, University of California Berkeley and San Francisco, Berkeley, CA, USA
| | - Connor J Tou
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA
| | - Eric B Wong
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA
| | - Cyrus Modavi
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA.,University of California, Berkeley-University of California, San Francisco Graduate Program in Bioengineering, University of California, Berkeley, Berkeley, CA, USA
| | - David V Schaffer
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA. .,Innovative Genomics Institute, University of California Berkeley and San Francisco, Berkeley, CA, USA. .,Department of Chemical and Biomolecular Engineering, University of California Berkeley, Berkeley, CA, USA. .,Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA. .,Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA.
| | - John E Dueber
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA. .,Innovative Genomics Institute, University of California Berkeley and San Francisco, Berkeley, CA, USA. .,Biological Systems & Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
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45
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Directed evolution of multiple genomic loci allows the prediction of antibiotic resistance. Proc Natl Acad Sci U S A 2018; 115:E5726-E5735. [PMID: 29871954 PMCID: PMC6016788 DOI: 10.1073/pnas.1801646115] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Antibiotic development is frequently plagued by the rapid emergence of drug resistance. However, assessing the risk of resistance development in the preclinical stage is difficult. Standard laboratory evolution approaches explore only a small fraction of the sequence space and fail to identify exceedingly rare resistance mutations and combinations thereof. Therefore, new rapid and exhaustive methods are needed to accurately assess the potential of resistance evolution and uncover the underlying mutational mechanisms. Here, we introduce directed evolution with random genomic mutations (DIvERGE), a method that allows an up to million-fold increase in mutation rate along the full lengths of multiple predefined loci in a range of bacterial species. In a single day, DIvERGE generated specific mutation combinations, yielding clinically significant resistance against trimethoprim and ciprofloxacin. Many of these mutations have remained previously undetected or provide resistance in a species-specific manner. These results indicate pathogen-specific resistance mechanisms and the necessity of future narrow-spectrum antibacterial treatments. In contrast to prior claims, we detected the rapid emergence of resistance against gepotidacin, a novel antibiotic currently in clinical trials. Based on these properties, DIvERGE could be applicable to identify less resistance-prone antibiotics at an early stage of drug development. Finally, we discuss potential future applications of DIvERGE in synthetic and evolutionary biology.
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46
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Construction of Halomonas bluephagenesis capable of high cell density growth for efficient PHA production. Appl Microbiol Biotechnol 2018; 102:4499-4510. [DOI: 10.1007/s00253-018-8931-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 03/07/2018] [Accepted: 03/10/2018] [Indexed: 12/13/2022]
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Abstract
Saturation mutagenesis is conveniently located between the two extremes of protein engineering, namely random mutagenesis, and rational design. It involves mutating a confined number of target residues to other amino acids, and hence requires knowledge regarding the sites for mutagenesis, but not their final identity. There are many different strategies for performing and designing such experiments, ranging from simple single degenerate codons to codon collections that code for distinct sets of amino acids. Here, we provide detailed information on the Dynamic Management for Codon Compression (DYNAMCC) approaches that allow us to precisely define the desired amino acid composition to be introduced to a specific target site. DYNAMCC allows us to set usage thresholds and to eliminate undesirable stop and wild-type codons, thus allowing us to control library size and subsequently downstream screening efforts. The DYNAMCC algorithms are free of charge and are implemented in a website for easy access and usage: www.dynamcc.com .
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Affiliation(s)
- Gur Pines
- Renewable and Sustainable Energy Institute (RASEI), University of Colorado Boulder, Boulder, CO, USA. .,Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO, USA.
| | - Ryan T Gill
- Renewable and Sustainable Energy Institute (RASEI), University of Colorado Boulder, Boulder, CO, USA.,Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO, USA
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48
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Bratulic S, Badran AH. Modern methods for laboratory diversification of biomolecules. Curr Opin Chem Biol 2017; 41:50-60. [PMID: 29096324 PMCID: PMC6062405 DOI: 10.1016/j.cbpa.2017.10.010] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Revised: 10/03/2017] [Accepted: 10/08/2017] [Indexed: 11/29/2022]
Abstract
Genetic variation fuels Darwinian evolution, yet spontaneous mutation rates are maintained at low levels to ensure cellular viability. Low mutation rates preclude the exhaustive exploration of sequence space for protein evolution and genome engineering applications, prompting scientists to develop methods for efficient and targeted diversification of nucleic acid sequences. Directed evolution of biomolecules relies upon the generation of unbiased genetic diversity to discover variants with desirable properties, whereas genome-engineering applications require selective modifications on a genomic scale with minimal off-targets. Here, we review the current toolkit of mutagenesis strategies employed in directed evolution and genome engineering. These state-of-the-art methods enable facile modifications and improvements of single genes, multicomponent pathways, and whole genomes for basic and applied research, while simultaneously paving the way for genome editing therapeutic interventions.
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Affiliation(s)
- Sinisa Bratulic
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ahmed H Badran
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
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49
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Standley M, Allen J, Cervantes L, Lilly J, Camps M. Fluorescence-Based Reporters for Detection of Mutagenesis in E. coli. Methods Enzymol 2017. [PMID: 28645368 DOI: 10.1016/bs.mie.2017.03.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Mutagenesis in model organisms following exposure to chemicals is used as an indicator of genotoxicity. Mutagenesis assays are also used to study mechanisms of DNA homeostasis. This chapter focuses on detection of mutagenesis in prokaryotes, which boils down to two approaches: reporter inactivation (forward mutation assay) and reversion of an inactivating mutation (reversion mutation assay). Both methods are labor intensive, involving visual screening, quantification of colonies on solid media, or determining a Poisson distribution in liquid culture. Here, we present two reversion reporters for in vivo mutagenesis that produce a quantitative output, and thus have the potential to greatly reduce the amount of test chemical and labor involved in these assays. This output is obtained by coupling a TEM β lactamase-based reversion assay with GFP fluorescence, either by placing the two genes on the same plasmid or by fusing them translationally and interrupting the N-terminus of the chimeric ORF with a stop codon. We also describe a reporter aimed at facilitating the monitoring of continuous mutagenesis in mutator strains. This reporter couples two reversion markers, allowing the temporal separation of mutation events in time, thus providing information about the dynamics of mutagenesis in mutator strains. Here, we describe these reporter systems, provide protocols for use, and demonstrate their key functional features using error-prone Pol I mutagenesis as a source of mutations.
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Affiliation(s)
- Melissa Standley
- University of California-Santa Cruz, Santa Cruz, CA, United States
| | - Jennifer Allen
- University of California-Santa Cruz, Santa Cruz, CA, United States
| | - Layla Cervantes
- University of California-Santa Cruz, Santa Cruz, CA, United States
| | - Joshua Lilly
- University of California-Santa Cruz, Santa Cruz, CA, United States
| | - Manel Camps
- University of California-Santa Cruz, Santa Cruz, CA, United States.
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50
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Zheng X, Xing XH, Zhang C. Targeted mutagenesis: A sniper-like diversity generator in microbial engineering. Synth Syst Biotechnol 2017; 2:75-86. [PMID: 29062964 PMCID: PMC5636951 DOI: 10.1016/j.synbio.2017.07.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Revised: 06/30/2017] [Accepted: 07/03/2017] [Indexed: 12/26/2022] Open
Abstract
Mutations, serving as the raw materials of evolution, have been extensively utilized to increase the chances of engineering molecules or microbes with tailor-made functions. Global and targeted mutagenesis are two main methods of obtaining various mutations, distinguished by the range of action they can cover. While the former one stresses the mining of novel genetic loci within the whole genomic background, targeted mutagenesis performs in a more straightforward manner, bringing evolutionary escape and error catastrophe under control. In this review, we classify the existing techniques of targeted mutagenesis into two categories in terms of whether the diversity is generated in vitro or in vivo, and briefly introduce the mechanisms and applications of them separately. The inherent connections and development trends of the two classes are also discussed to provide an insight into the next generation evolution research.
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Key Words
- 3′-LTR, 3’-long terminal repeat
- 5-FOA, 5-fluoro-orotic acid
- CRISPR/Cas9, clustered regularly interspaced short palindromic repeats and associated protein 9
- DNA Pol III, DNA polymerase III
- DNA PolI, DNA polymerase I
- DSB, double strand break
- Evolution
- FLASH, fast ligation-based automatable solid-phase high-throughput
- HDR, homology-directed repair
- HIV, human immunodeficiency virus
- ICE, in vivo continuous evolution
- LIC, ligation-independent cloning
- MAGE, multiplex automated genome engineering
- MMEJ, microhomology-mediated end-joining
- Mutations
- NHEJ, error-prone non-homologous end-joining
- ORF, open reading frame
- PAM, protospacer-adjacent motif
- RVD, repeat variable di-residue
- Synthetic biology
- TALE, transcription activator-like effector
- TALEN, transcription activator-like effector nuclease
- TP, terminal protein
- TP-DNAP, TP-DNA polymerase fusion
- TaGTEAM, targeting glycosylase to embedded arrays for mutagenesis
- Targeted mutagenesis
- YOGE, yeast oligo-mediated genome engineering
- ZF, zinc-finger protein
- ZFN, zinc-finger nuclease
- dCas9, catalytically dead Cas9
- dNTP, deoxy-ribonucleoside triphosphate
- dsDNA, double-stranded DNA
- error-prone PCR, error-prone polymerase chain reaction
- non-GMO, non-genetically modified organism
- pre-crRNA, pre-CRISPR RNA
- sctetR, single chain tetR
- sgRNA, single-guide RNA
- ssDNA, single-stranded DNA
- tracrRNA, trans-encoded RNA
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Affiliation(s)
| | | | - Chong Zhang
- Key Laboratory for Industrial Biocatalysis, Ministry of Education, Institute of Biochemical Engineering, Department of Chemical Engineering, Center for Synthetic & Systems Biology, Tsinghua University, Beijing 100084, China
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