1
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Özcan A, Yıbar A, Kiraz D, Ilıkkan ÖK. Comprehensive analysis of the CRISPR-Cas systems in Streptococcus thermophilus strains isolated from traditional yogurts. Antonie Van Leeuwenhoek 2024; 117:63. [PMID: 38561518 DOI: 10.1007/s10482-024-01960-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 03/20/2024] [Indexed: 04/04/2024]
Abstract
Phage resistance is crucial for lactic acid bacteria in the dairy industry. However, identifying all phages affecting these bacteria is challenging. CRISPR-Cas systems offer a resistance mechanism developed by bacteria and archaea against phages and plasmids. In this study, 11 S. thermophilus strains from traditional yogurts underwent analysis using next-generation sequencing (NGS) and bioinformatics tools. Initial characterization involved molecular ribotyping. Bioinformatics analysis of the NGS raw data revealed that all 11 strains possessed at least one CRISPR type. A total of 21 CRISPR loci were identified, belonging to CRISPR types II-A, II-C, and III-A, including 13 Type II-A, 1 Type III-C, and 7 Type III-A CRISPR types. By analyzing spacer sequences in S. thermophilus bacterial genomes and matching them with phage/plasmid genomes, notable strains emerged. SY9 showed prominence with 132 phage matches and 30 plasmid matches, followed by SY12 with 35 phage matches and 25 plasmid matches, and SY18 with 49 phage matches and 13 plasmid matches. These findings indicate the potential of S. thermophilus strains in phage/plasmid resistance for selecting starter cultures, ultimately improving the quality and quantity of dairy products. Nevertheless, further research is required to validate these results and explore the practical applications of this approach.
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Affiliation(s)
- Ali Özcan
- Animal Originated Foodstuffs Department, Central Research Institute of Food and Feed Control, Bursa, Turkey.
- Food Hygiene and Technology Department, Faculty of Veterinary Medicine, Uludağ University, Bursa, Turkey.
| | - Artun Yıbar
- Food Hygiene and Technology Department, Faculty of Veterinary Medicine, Uludağ University, Bursa, Turkey
| | - Deniz Kiraz
- Animal Originated Foodstuffs Department, Central Research Institute of Food and Feed Control, Bursa, Turkey
| | - Özge Kahraman Ilıkkan
- Kahramankazan Vocational School, Food Quality Control and Analysis Program, Başkent University, Ankara, Turkey
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2
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Abstract
RNA-guided CRISPR-Cas nucleases efficiently protect bacterial cells from phage infection and plasmid transformation. Yet, the efficiency of CRISPR-Cas defense is not absolute. Mutations in either CRISPR-Cas components of the host or mobile genetic elements regions targeted by CRISPR-Cas inactivate the defensive action. Here, we show that even at conditions of active CRISPR-Cas and unaltered targeted plasmids, a kinetic equilibrium between CRISPR-Cas nucleases action and plasmid replication processes allows for existence of a small subpopulation of plasmid-bearing cells on the background of cells that have been cured from the plasmid. In nature, the observed diversification of phenotypes may allow rapid changes in the population structure to meet the demands of the environment. CRISPR-Cas systems provide prokaryotes with an RNA-guided defense against foreign mobile genetic elements (MGEs) such as plasmids and viruses. A common mechanism by which MGEs avoid interference by CRISPR consists of acquisition of escape mutations in regions targeted by CRISPR. Here, using microbiological, live microscopy and microfluidics analyses we demonstrate that plasmids can persist for multiple generations in some Escherichia coli cell lineages at conditions of continuous targeting by the type I-E CRISPR-Cas system. We used mathematical modeling to show how plasmid persistence in a subpopulation of cells mounting CRISPR interference is achieved due to the stochastic nature of CRISPR interference and plasmid replication events. We hypothesize that the observed complex dynamics provides bacterial populations with long-term benefits due to continuous maintenance of mobile genetic elements in some cells, which leads to diversification of phenotypes in the entire community and allows rapid changes in the population structure to meet the demands of a changing environment.
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3
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McKenzie RE, Keizer EM, Vink JNA, van Lopik J, Büke F, Kalkman V, Fleck C, Tans SJ, Brouns SJJ. Single cell variability of CRISPR-Cas interference and adaptation. Mol Syst Biol 2022; 18:e10680. [PMID: 35467080 PMCID: PMC10561596 DOI: 10.15252/msb.202110680] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 03/29/2022] [Accepted: 03/31/2022] [Indexed: 12/26/2022] Open
Abstract
While CRISPR-Cas defence mechanisms have been studied on a population level, their temporal dynamics and variability in individual cells have remained unknown. Using a microfluidic device, time-lapse microscopy and mathematical modelling, we studied invader clearance in Escherichia coli across multiple generations. We observed that CRISPR interference is fast with a narrow distribution of clearance times. In contrast, for invaders with escaping PAM mutations we found large cell-to-cell variability, which originates from primed CRISPR adaptation. Faster growth and cell division and higher levels of Cascade increase the chance of clearance by interference, while slower growth is associated with increased chances of clearance by priming. Our findings suggest that Cascade binding to the mutated invader DNA, rather than spacer integration, is the main source of priming heterogeneity. The highly stochastic nature of primed CRISPR adaptation implies that only subpopulations of bacteria are able to respond quickly to invading threats. We conjecture that CRISPR-Cas dynamics and heterogeneity at the cellular level are crucial to understanding the strategy of bacteria in their competition with other species and phages.
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Affiliation(s)
- Rebecca E McKenzie
- Department of BionanoscienceDelft University of TechnologyDelftThe Netherlands
- Kavli Institute of NanoscienceDelftThe Netherlands
- AMOLFAmsterdamThe Netherlands
| | - Emma M Keizer
- Biometris, Department of Mathematical and Statistical MethodsWageningen UniversityWageningenThe Netherlands
| | - Jochem N A Vink
- Department of BionanoscienceDelft University of TechnologyDelftThe Netherlands
- Kavli Institute of NanoscienceDelftThe Netherlands
| | - Jasper van Lopik
- Department of BionanoscienceDelft University of TechnologyDelftThe Netherlands
- Kavli Institute of NanoscienceDelftThe Netherlands
| | - Ferhat Büke
- Department of BionanoscienceDelft University of TechnologyDelftThe Netherlands
- Kavli Institute of NanoscienceDelftThe Netherlands
- AMOLFAmsterdamThe Netherlands
| | - Vera Kalkman
- Department of BionanoscienceDelft University of TechnologyDelftThe Netherlands
- Kavli Institute of NanoscienceDelftThe Netherlands
| | - Christian Fleck
- Freiburg Center for Data Analysis and Modeling (FDM)Spatial Systems Biology GroupUniversity of FreiburgFreiburgGermany
| | - Sander J Tans
- Department of BionanoscienceDelft University of TechnologyDelftThe Netherlands
- Kavli Institute of NanoscienceDelftThe Netherlands
- AMOLFAmsterdamThe Netherlands
| | - Stan J J Brouns
- Department of BionanoscienceDelft University of TechnologyDelftThe Netherlands
- Kavli Institute of NanoscienceDelftThe Netherlands
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4
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Bacteriostatic antibiotics promote CRISPR-Cas adaptive immunity by enabling increased spacer acquisition. Cell Host Microbe 2021; 30:31-40.e5. [PMID: 34932986 DOI: 10.1016/j.chom.2021.11.014] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 10/12/2021] [Accepted: 11/24/2021] [Indexed: 01/21/2023]
Abstract
Phages impose strong selection on bacteria to evolve resistance against viral predation. Bacteria can rapidly evolve phage resistance via receptor mutation or using their CRISPR-Cas adaptive immune systems. Acquisition of CRISPR immunity relies on the insertion of a phage-derived sequence into CRISPR arrays in the bacterial genome. Using Pseudomonas aeruginosa and its phage DMS3vir as a model, we demonstrate that conditions that reduce bacterial growth rates, such as exposure to bacteriostatic antibiotics (which inhibit cell growth without killing), promote the evolution of CRISPR immunity. We demonstrate that this is due to slower phage development under these conditions, which provides more time for cells to acquire phage-derived sequences and mount an immune response. Our data reveal that the speed of phage development is a key determinant of the evolution of CRISPR immunity and suggest that use of bacteriostatic antibiotics can trigger elevated levels of CRISPR immunity in human-associated and natural environments.
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5
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Isaev AB, Musharova OS, Severinov KV. Microbial Arsenal of Antiviral Defenses. Part II. BIOCHEMISTRY (MOSCOW) 2021; 86:449-470. [PMID: 33941066 DOI: 10.1134/s0006297921040064] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Bacteriophages or phages are viruses that infect bacterial cells (for the scope of this review we will also consider viruses that infect Archaea). The constant threat of phage infection is a major force that shapes evolution of microbial genomes. To withstand infection, bacteria had evolved numerous strategies to avoid recognition by phages or to directly interfere with phage propagation inside the cell. Classical molecular biology and genetic engineering had been deeply intertwined with the study of phages and host defenses. Nowadays, owing to the rise of phage therapy, broad application of CRISPR-Cas technologies, and development of bioinformatics approaches that facilitate discovery of new systems, phage biology experiences a revival. This review describes variety of strategies employed by microbes to counter phage infection. In the first part defense associated with cell surface, roles of small molecules, and innate immunity systems relying on DNA modification were discussed. The second part focuses on adaptive immunity systems, abortive infection mechanisms, defenses associated with mobile genetic elements, and novel systems discovered in recent years through metagenomic mining.
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Affiliation(s)
- Artem B Isaev
- Skolkovo Institute of Science and Technology, Skolkovo, Moscow, 143028, Russia.
| | - Olga S Musharova
- Skolkovo Institute of Science and Technology, Skolkovo, Moscow, 143028, Russia. .,Institute of Molecular Genetics, Moscow, 119334, Russia
| | - Konstantin V Severinov
- Skolkovo Institute of Science and Technology, Skolkovo, Moscow, 143028, Russia. .,Waksman Institute of Microbiology, Piscataway, NJ 08854, USA
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6
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Weissman JL, Stoltzfus A, Westra ER, Johnson PLF. Avoidance of Self during CRISPR Immunization. Trends Microbiol 2020; 28:543-553. [PMID: 32544441 DOI: 10.1016/j.tim.2020.02.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 02/05/2020] [Accepted: 02/25/2020] [Indexed: 02/07/2023]
Abstract
The battle between microbes and their viruses is ancient and ongoing. Clustered regularly interspaced short palindromic repeat (CRISPR) immunity, the first and, to date, only form of adaptive immunity found in prokaryotes, represents a flexible mechanism to recall past infections while also adapting to a changing pathogenic environment. Critical to the role of CRISPR as an adaptive immune mechanism is its capacity for self versus non-self recognition when acquiring novel immune memories. Yet, CRISPR systems vary widely in both how and to what degree they can distinguish foreign from self-derived genetic material. We document known and hypothesized mechanisms that bias the acquisition of immune memory towards non-self targets. We demonstrate that diversity is the rule, with many widespread but no universal mechanisms for self versus non-self recognition.
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Affiliation(s)
- Jake L Weissman
- Department of Biology, University of Maryland, College Park, MD, USA
| | - Arlin Stoltzfus
- Office of Data and Informatics, Material Measurement Laboratory, NIST, Gaithersburg, MD 20899, USA; Institute for Bioscience and Biotechnology Research, 9600 Gudelsky Drive, Rockville, MD 20850, USA
| | - Edze R Westra
- Environment and Sustainability Institute, Centre for Ecology and Conservation, University of Exeter, Biosciences, Penryn, Cornwall, UK
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7
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Abstract
Many bacteria and archaea have the unique ability to heritably alter their genomes by incorporating small fragments of foreign DNA, called spacers, into CRISPR loci. Once transcribed and processed into individual CRISPR RNAs, spacer sequences guide Cas effector nucleases to destroy complementary, invading nucleic acids. Collectively, these two processes are known as the CRISPR-Cas immune response. In this Progress article, we review recent studies that have advanced our understanding of the molecular mechanisms underlying spacer acquisition and that have revealed a fundamental link between the two phases of CRISPR immunity that ensures optimal immunity from newly acquired spacers. Finally, we highlight important open questions and discuss the potential basic and applied impact of spacer acquisition research.
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Affiliation(s)
- Jon McGinn
- Laboratory of Bacteriology, The Rockefeller University, New York, NY, USA
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8
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Vink JNA, Martens KJA, Vlot M, McKenzie RE, Almendros C, Estrada Bonilla B, Brocken DJW, Hohlbein J, Brouns SJJ. Direct Visualization of Native CRISPR Target Search in Live Bacteria Reveals Cascade DNA Surveillance Mechanism. Mol Cell 2020; 77:39-50.e10. [PMID: 31735642 DOI: 10.1016/j.molcel.2019.10.021] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 07/31/2019] [Accepted: 10/11/2019] [Indexed: 11/24/2022]
Abstract
CRISPR-Cas systems encode RNA-guided surveillance complexes to find and cleave invading DNA elements. While it is thought that invaders are neutralized minutes after cell entry, the mechanism and kinetics of target search and its impact on CRISPR protection levels have remained unknown. Here, we visualize individual Cascade complexes in a native type I CRISPR-Cas system. We uncover an exponential relation between Cascade copy number and CRISPR interference levels, pointing to a time-driven arms race between invader replication and target search, in which 20 Cascade complexes provide 50% protection. Driven by PAM-interacting subunit Cas8e, Cascade spends half its search time rapidly probing DNA (∼30 ms) in the nucleoid. We further demonstrate that target DNA transcription and CRISPR arrays affect the integrity of Cascade and affect CRISPR interference. Our work establishes the mechanism of cellular DNA surveillance by Cascade that allows the timely detection of invading DNA in a crowded, DNA-packed environment.
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Affiliation(s)
- Jochem N A Vink
- Kavli Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, the Netherlands
| | - Koen J A Martens
- Laboratory of Biophysics, Wageningen University & Research, Stippeneng 4, 6708 WE Wageningen, the Netherlands; Laboratory of Bionanotechnology, Wageningen University & Research, Bornse Weilanden 9, 6708 WG Wageningen, the Netherlands
| | - Marnix Vlot
- Laboratory of Microbiology, Wageningen University & Research, Stippeneng 4, 6708 WE Wageningen, the Netherlands
| | - Rebecca E McKenzie
- Kavli Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, the Netherlands
| | - Cristóbal Almendros
- Kavli Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, the Netherlands
| | - Boris Estrada Bonilla
- Kavli Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, the Netherlands
| | - Daan J W Brocken
- Leiden Institute of Chemistry, Gorlaeus Laboratories, Leiden University, Leiden, the Netherlands
| | - Johannes Hohlbein
- Laboratory of Biophysics, Wageningen University & Research, Stippeneng 4, 6708 WE Wageningen, the Netherlands; Microspectroscopy Research Facility, Wageningen University & Research, Stippeneng 4, 6708 WE Wageningen, the Netherlands.
| | - Stan J J Brouns
- Kavli Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, the Netherlands.
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9
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Krivoy A, Rutkauskas M, Kuznedelov K, Musharova O, Rouillon C, Severinov K, Seidel R. Primed CRISPR adaptation in Escherichia coli cells does not depend on conformational changes in the Cascade effector complex detected in Vitro. Nucleic Acids Res 2019; 46:4087-4098. [PMID: 29596641 PMCID: PMC5934681 DOI: 10.1093/nar/gky219] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Accepted: 03/14/2018] [Indexed: 11/13/2022] Open
Abstract
In type I CRISPR-Cas systems, primed adaptation of new spacers into CRISPR arrays occurs when the effector Cascade-crRNA complex recognizes imperfectly matched targets that are not subject to efficient CRISPR interference. Thus, primed adaptation allows cells to acquire additional protection against mobile genetic elements that managed to escape interference. Biochemical and biophysical studies suggested that Cascade-crRNA complexes formed on fully matching targets (subject to efficient interference) and on partially mismatched targets that promote primed adaption are structurally different. Here, we probed Escherichia coli Cascade-crRNA complexes bound to matched and mismatched DNA targets using a magnetic tweezers assay. Significant differences in complex stabilities were observed consistent with the presence of at least two distinct conformations. Surprisingly, in vivo analysis demonstrated that all mismatched targets stimulated robust primed adaptation irrespective of conformational states observed in vitro. Our results suggest that primed adaptation is a direct consequence of a reduced interference efficiency and/or rate and is not a consequence of distinct effector complex conformations on target DNA.
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Affiliation(s)
- Andrey Krivoy
- Center for Data-Intensive Biomedicine and Biotechnology, Skolkovo Institute of Science and Technology, Moscow 143028, Russia.,Molecular Biophysics Group, Peter Debye Institute for Soft Matter Physics, Universität Leipzig, Leipzig 04103, Germany
| | - Marius Rutkauskas
- Molecular Biophysics Group, Peter Debye Institute for Soft Matter Physics, Universität Leipzig, Leipzig 04103, Germany
| | - Konstantin Kuznedelov
- Waksman Institute, Rutgers, the State University of New Jersey, Piscataway, NJ 08854, USA
| | - Olga Musharova
- Center for Data-Intensive Biomedicine and Biotechnology, Skolkovo Institute of Science and Technology, Moscow 143028, Russia.,Institute of Molecular Genetics, Russian Academy of Sciences, Moscow 123182, Russia
| | - Christophe Rouillon
- Molecular Biophysics Group, Peter Debye Institute for Soft Matter Physics, Universität Leipzig, Leipzig 04103, Germany
| | - Konstantin Severinov
- Center for Data-Intensive Biomedicine and Biotechnology, Skolkovo Institute of Science and Technology, Moscow 143028, Russia.,Waksman Institute, Rutgers, the State University of New Jersey, Piscataway, NJ 08854, USA.,Institute of Molecular Genetics, Russian Academy of Sciences, Moscow 123182, Russia
| | - Ralf Seidel
- Molecular Biophysics Group, Peter Debye Institute for Soft Matter Physics, Universität Leipzig, Leipzig 04103, Germany
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10
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Gong L, Li M, Cheng F, Zhao D, Chen Y, Xiang H. Primed adaptation tolerates extensive structural and size variations of the CRISPR RNA guide in Haloarcula hispanica. Nucleic Acids Res 2019; 47:5880-5891. [PMID: 30957847 PMCID: PMC6582329 DOI: 10.1093/nar/gkz244] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2019] [Revised: 03/22/2019] [Accepted: 03/27/2019] [Indexed: 12/13/2022] Open
Abstract
Recent studies on CRISPR adaptation revealed that priming is a major pathway of spacer acquisition, at least for the most prevalent type I systems. Priming is guided by a CRISPR RNA which fully/partially matches the invader DNA, but the plasticity of this RNA guide has not yet been characterized. In this study, we extensively modified the two conserved handles of a priming crRNA in Haloarcula hispanica, and altered the size of its central spacer part. Interestingly, priming is insusceptible to the full deletion of 3' handle, which seriously impaired crRNA stability and interference effects. With 3' handle deletion, further truncation of 5' handle revealed that its spacer-proximal 6 nucleotides could provide the least conserved sequence required for priming. Subsequent scanning mutation further identified critical nucleotides within 5' handle. Besides, priming was also shown to tolerate a wider size variation of the spacer part, compared to interference. These data collectively illustrate the high tolerance of priming to extensive structural/size variations of the crRNA guide, which highlights the structural flexibility of the crRNA-effector ribonucleoprotein complex. The observed high priming effectiveness suggests that primed adaptation promotes clearance of the fast-replicating and ever-evolving viral DNA, by rapidly and persistently multiplexing the interference pathway.
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Affiliation(s)
- Luyao Gong
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ming Li
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Feiyue Cheng
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Dahe Zhao
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Yihua Chen
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Hua Xiang
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
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11
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Musharova O, Sitnik V, Vlot M, Savitskaya E, Datsenko KA, Krivoy A, Fedorov I, Semenova E, Brouns SJJ, Severinov K. Systematic analysis of Type I-E Escherichia coli CRISPR-Cas PAM sequences ability to promote interference and primed adaptation. Mol Microbiol 2019; 111:1558-1570. [PMID: 30875129 PMCID: PMC6568314 DOI: 10.1111/mmi.14237] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/08/2019] [Indexed: 01/05/2023]
Abstract
CRISPR interference occurs when a protospacer recognized by the CRISPR RNA is destroyed by Cas effectors. In Type I CRISPR‐Cas systems, protospacer recognition can lead to «primed adaptation» – acquisition of new spacers from in cis located sequences. Type I CRISPR‐Cas systems require the presence of a trinucleotide protospacer adjacent motif (PAM) for efficient interference. Here, we investigated the ability of each of 64 possible trinucleotides located at the PAM position to induce CRISPR interference and primed adaptation by the Escherichia coli Type I‐E CRISPR‐Cas system. We observed clear separation of PAM variants into three groups: those unable to cause interference, those that support rapid interference and those that lead to reduced interference that occurs over extended periods of time. PAM variants unable to support interference also did not support primed adaptation; those that supported rapid interference led to no or low levels of adaptation, while those that caused attenuated levels of interference consistently led to highest levels of adaptation. The results suggest that primed adaptation is fueled by the products of CRISPR interference. Extended over time interference with targets containing «attenuated» PAM variants provides a continuous source of new spacers leading to high overall level of spacer acquisition.
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Affiliation(s)
- Olga Musharova
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, 121205, Russia.,Institute of Molecular Genetics, Russian Academy of Sciences, Moscow, 123182, Russia
| | - Vasily Sitnik
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, 121205, Russia
| | - Marnix Vlot
- Laboratory of Microbiology, Department of Agrotechnology and Food Sciences, Wageningen University, Stippeneng 4, Wageningen, 6708 WE, The Netherlands
| | - Ekaterina Savitskaya
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, 121205, Russia.,Institute of Molecular Genetics, Russian Academy of Sciences, Moscow, 123182, Russia
| | - Kirill A Datsenko
- Department of Biological Sciences, Purdue University, West Lafayette, IN, 47907, USA
| | - Andrey Krivoy
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, 121205, Russia
| | - Ivan Fedorov
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, 121205, Russia
| | - Ekaterina Semenova
- Waksman Institute, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA
| | - Stan J J Brouns
- Laboratory of Microbiology, Department of Agrotechnology and Food Sciences, Wageningen University, Stippeneng 4, Wageningen, 6708 WE, The Netherlands.,Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Van der Maasweg 9, Delft, 2629 HZ, The Netherlands
| | - Konstantin Severinov
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, 121205, Russia.,Institute of Molecular Genetics, Russian Academy of Sciences, Moscow, 123182, Russia.,Waksman Institute, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA
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12
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Jackson SA, Birkholz N, Malone LM, Fineran PC. Imprecise Spacer Acquisition Generates CRISPR-Cas Immune Diversity through Primed Adaptation. Cell Host Microbe 2019; 25:250-260.e4. [PMID: 30661951 DOI: 10.1016/j.chom.2018.12.014] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Revised: 10/18/2018] [Accepted: 12/14/2018] [Indexed: 02/08/2023]
Abstract
Many prokaryotes possess CRISPR-Cas adaptive immune systems to defend against viruses and invading mobile genetic elements. CRISPR-Cas immunity relies on genetic memories, termed spacers, for sequence-specific recognition of infections. The diversity of spacers within host populations is important for immune resilience, but we have limited understanding of how CRISPR diversity is generated. Type I CRISPR-Cas systems use existing spacers to enhance the acquisition of new spacers through primed CRISPR adaptation (priming). Here, we present a pathway to priming that is stimulated by imprecisely acquired (slipped) spacers. Slipped spacers are less effective for immunity but increase priming compared with canonical spacers. The benefits of slipping depend on the relative rates of phage mutation and adaptation during defense. We propose that slipped spacers provide a route to increase population-level spacer diversity that pre-empts phage escape mutant proliferation and that the trade-off between adaptation and immunity is important in diverse CRISPR-Cas systems.
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Affiliation(s)
- Simon A Jackson
- Department of Microbiology and Immunology, University of Otago, Dunedin 9054, New Zealand.
| | - Nils Birkholz
- Department of Microbiology and Immunology, University of Otago, Dunedin 9054, New Zealand
| | - Lucía M Malone
- Department of Microbiology and Immunology, University of Otago, Dunedin 9054, New Zealand
| | - Peter C Fineran
- Department of Microbiology and Immunology, University of Otago, Dunedin 9054, New Zealand.
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13
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Künne T, Zhu Y, da Silva F, Konstantinides N, McKenzie RE, Jackson RN, Brouns S. Role of nucleotide identity in effective CRISPR target escape mutations. Nucleic Acids Res 2018; 46:10395-10404. [PMID: 30107450 PMCID: PMC6212716 DOI: 10.1093/nar/gky687] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 07/16/2018] [Accepted: 08/10/2018] [Indexed: 12/26/2022] Open
Abstract
Prokaryotes use primed CRISPR adaptation to update their memory bank of spacers against invading genetic elements that have escaped CRISPR interference through mutations in their protospacer target site. We previously observed a trend that nucleotide-dependent mismatches between crRNA and the protospacer strongly influence the efficiency of primed CRISPR adaptation. Here we show that guanine-substitutions in the target strand of the protospacer are highly detrimental to CRISPR interference and interference-dependent priming, while cytosine-substitutions are more readily tolerated. Furthermore, we show that this effect is based on strongly decreased binding affinity of the effector complex Cascade for guanine-mismatched targets, while cytosine-mismatched targets only minimally affect target DNA binding. Structural modeling of Cascade-bound targets with mismatches shows that steric clashes of mismatched guanines lead to unfavorable conformations of the RNA-DNA duplex. This effect has strong implications for the natural selection of target site mutations that lead to effective escape from type I CRISPR-Cas systems.
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MESH Headings
- Base Pairing
- Base Sequence
- CRISPR-Associated Proteins/genetics
- CRISPR-Associated Proteins/metabolism
- CRISPR-Cas Systems
- Clustered Regularly Interspaced Short Palindromic Repeats
- Cytosine/chemistry
- Cytosine/metabolism
- DNA Helicases/genetics
- DNA Helicases/metabolism
- DNA, Bacterial/chemistry
- DNA, Bacterial/genetics
- DNA, Bacterial/metabolism
- Escherichia coli/genetics
- Escherichia coli/metabolism
- Escherichia coli Proteins/genetics
- Escherichia coli Proteins/metabolism
- Guanine/chemistry
- Guanine/metabolism
- Mutation
- Plasmids/chemistry
- Plasmids/metabolism
- RNA, Bacterial/chemistry
- RNA, Bacterial/genetics
- RNA, Bacterial/metabolism
- RNA, Guide, CRISPR-Cas Systems/chemistry
- RNA, Guide, CRISPR-Cas Systems/genetics
- RNA, Guide, CRISPR-Cas Systems/metabolism
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Affiliation(s)
- Tim Künne
- Laboratory of Microbiology, Department of Agrotechnology and Food Sciences, Wageningen University, Stippeneng 4, 6708 WE Wageningen, The Netherlands
- Laboratory of Food Microbiology, Department of Agrotechnology and Food Sciences, Wageningen University, Bornse Weilanden 9, 6708 WG Wageningen, The Netherlands
| | - Yifan Zhu
- Laboratory of Microbiology, Department of Agrotechnology and Food Sciences, Wageningen University, Stippeneng 4, 6708 WE Wageningen, The Netherlands
| | - Fausia da Silva
- Laboratory of Microbiology, Department of Agrotechnology and Food Sciences, Wageningen University, Stippeneng 4, 6708 WE Wageningen, The Netherlands
| | - Nico Konstantinides
- Laboratory of Microbiology, Department of Agrotechnology and Food Sciences, Wageningen University, Stippeneng 4, 6708 WE Wageningen, The Netherlands
| | - Rebecca E McKenzie
- Kavli Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, The Netherlands
| | - Ryan N Jackson
- Department of Chemistry and Biochemistry, Utah State University, 0300 Old Main Hill, Logan, UT, USA
| | - Stan JJ Brouns
- Laboratory of Microbiology, Department of Agrotechnology and Food Sciences, Wageningen University, Stippeneng 4, 6708 WE Wageningen, The Netherlands
- Kavli Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, The Netherlands
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14
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Landsberger M, Gandon S, Meaden S, Rollie C, Chevallereau A, Chabas H, Buckling A, Westra ER, van Houte S. Anti-CRISPR Phages Cooperate to Overcome CRISPR-Cas Immunity. Cell 2018; 174:908-916.e12. [PMID: 30033365 PMCID: PMC6086933 DOI: 10.1016/j.cell.2018.05.058] [Citation(s) in RCA: 154] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2018] [Revised: 04/20/2018] [Accepted: 05/29/2018] [Indexed: 12/26/2022]
Abstract
Some phages encode anti-CRISPR (acr) genes, which antagonize bacterial CRISPR-Cas immune systems by binding components of its machinery, but it is less clear how deployment of these acr genes impacts phage replication and epidemiology. Here, we demonstrate that bacteria with CRISPR-Cas resistance are still partially immune to Acr-encoding phage. As a consequence, Acr-phages often need to cooperate in order to overcome CRISPR resistance, with a first phage blocking the host CRISPR-Cas immune system to allow a second Acr-phage to successfully replicate. This cooperation leads to epidemiological tipping points in which the initial density of Acr-phage tips the balance from phage extinction to a phage epidemic. Furthermore, both higher levels of CRISPR-Cas immunity and weaker Acr activities shift the tipping points toward higher initial phage densities. Collectively, these data help elucidate how interactions between phage-encoded immune suppressors and the CRISPR systems they target shape bacteria-phage population dynamics. Bacteria with CRISPR immunity remain partially resistant to Acr-phage Sequentially infecting Acr-phages cooperate to overcome CRISPR resistance Acr-phage epidemiology depends on the initial phage density CRISPR-resistant bacteria can drive Acr-phages extinct
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Affiliation(s)
- Mariann Landsberger
- ESI and CEC, Biosciences, University of Exeter, Cornwall Campus, Penryn TR10 9EZ, UK
| | - Sylvain Gandon
- CEFE UMR 5175, CNRS Université de Montpellier Université Paul-Valéry Montpellier EPHE, 34293 Montpellier Cedex 5, France
| | - Sean Meaden
- ESI and CEC, Biosciences, University of Exeter, Cornwall Campus, Penryn TR10 9EZ, UK
| | - Clare Rollie
- ESI and CEC, Biosciences, University of Exeter, Cornwall Campus, Penryn TR10 9EZ, UK
| | - Anne Chevallereau
- ESI and CEC, Biosciences, University of Exeter, Cornwall Campus, Penryn TR10 9EZ, UK
| | - Hélène Chabas
- ESI and CEC, Biosciences, University of Exeter, Cornwall Campus, Penryn TR10 9EZ, UK
| | - Angus Buckling
- ESI and CEC, Biosciences, University of Exeter, Cornwall Campus, Penryn TR10 9EZ, UK
| | - Edze R Westra
- ESI and CEC, Biosciences, University of Exeter, Cornwall Campus, Penryn TR10 9EZ, UK.
| | - Stineke van Houte
- ESI and CEC, Biosciences, University of Exeter, Cornwall Campus, Penryn TR10 9EZ, UK.
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15
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Determining the Specificity of Cascade Binding, Interference, and Primed Adaptation In Vivo in the Escherichia coli Type I-E CRISPR-Cas System. mBio 2018; 9:mBio.02100-17. [PMID: 29666291 PMCID: PMC5904413 DOI: 10.1128/mbio.02100-17] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
In clustered regularly interspaced short palindromic repeat (CRISPR)-Cas (CRISPR-associated) immunity systems, short CRISPR RNAs (crRNAs) are bound by Cas proteins, and these complexes target invading nucleic acid molecules for degradation in a process known as interference. In type I CRISPR-Cas systems, the Cas protein complex that binds DNA is known as Cascade. Association of Cascade with target DNA can also lead to acquisition of new immunity elements in a process known as primed adaptation. Here, we assess the specificity determinants for Cascade-DNA interaction, interference, and primed adaptation in vivo, for the type I-E system of Escherichia coli Remarkably, as few as 5 bp of crRNA-DNA are sufficient for association of Cascade with a DNA target. Consequently, a single crRNA promotes Cascade association with numerous off-target sites, and the endogenous E. coli crRNAs direct Cascade binding to >100 chromosomal sites. In contrast to the low specificity of Cascade-DNA interactions, >18 bp are required for both interference and primed adaptation. Hence, Cascade binding to suboptimal, off-target sites is inert. Our data support a model in which the initial Cascade association with DNA targets requires only limited sequence complementarity at the crRNA 5' end whereas recruitment and/or activation of the Cas3 nuclease, a prerequisite for interference and primed adaptation, requires extensive base pairing.IMPORTANCE Many bacterial and archaeal species encode CRISPR-Cas immunity systems that protect against invasion by foreign DNA. In the Escherichia coli CRISPR-Cas system, a protein complex, Cascade, binds 61-nucleotide (nt) CRISPR RNAs (crRNAs). The Cascade complex is directed to invading DNA molecules through base pairing between the crRNA and target DNA. This leads to recruitment of the Cas3 nuclease, which destroys the invading DNA molecule and promotes acquisition of new immunity elements. We made the first in vivo measurements of Cascade binding to DNA targets. Thus, we show that Cascade binding to DNA is highly promiscuous; endogenous E. coli crRNAs can direct Cascade binding to >100 chromosomal locations. In contrast, we show that targeted degradation and acquisition of new immunity elements require highly specific association of Cascade with DNA, limiting CRISPR-Cas function to the appropriate targets.
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16
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Martynov A, Severinov K, Ispolatov I. Optimal number of spacers in CRISPR arrays. PLoS Comput Biol 2017; 13:e1005891. [PMID: 29253874 PMCID: PMC5749868 DOI: 10.1371/journal.pcbi.1005891] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Revised: 01/02/2018] [Accepted: 11/24/2017] [Indexed: 11/19/2022] Open
Abstract
Prokaryotic organisms survive under constant pressure of viruses. CRISPR-Cas system provides its prokaryotic host with an adaptive immune defense against viruses that have been previously encountered. It consists of two components: Cas-proteins that cleave the foreign DNA and CRISPR array that suits as a virus recognition key. CRISPR array consists of a series of spacers, short pieces of DNA that originate from and match the corresponding parts of viral DNA called protospacers. Here we estimate the number of spacers in a CRISPR array of a prokaryotic cell which maximizes its protection against a viral attack. The optimality follows from a competition between two trends: too few distinct spacers make host vulnerable to an attack by a virus with mutated corresponding protospacers, while an excessive variety of spacers dilutes the number of the CRISPR complexes armed with the most recent and thus most useful spacers. We first evaluate the optimal number of spacers in a simple scenario of an infection by a single viral species and later consider a more general case of multiple viral species. We find that depending on such parameters as the concentration of CRISPR-Cas interference complexes and its preference to arm with more recently acquired spacers, the rate of viral mutation, and the number of viral species, the predicted optimal number of spacers lies within a range that agrees with experimentally-observed values. CRISPR-Cas systems provide adaptive immunity defense in bacteria and archaea against viruses. They function by accumulating in prokaryotic genome an array of spacers, or fragments of virus DNA from previous attacks. By matching spacers to corresponding parts of viral DNA called protospacers, a CRISPR-Cas system identifies and destroys intruder DNA. Here we theoretically estimate the number of spacers that maximizes prokaryotic host cell survival. This optimum emerges from a competition between two trends: More spacers allow a prokaryotic cell to hedge against mutations in viral protospacers. However, the older spacers loose efficiency as corresponding protospacers mutate. For a limited pool of CRISPR-Cas molecular machines, keeping too many spacers leaves fewer of such machines armed with more efficient young (most recently acquired) spacers. We have shown that a higher efficiency of CRISPR-Cas system allows a prokaryotic cell to utilize more spacers, increasing the optimal number of spacers. On contrary, a higher viral mutation rate makes older spacers useless and favors shorter arrays. A higher diversity in viral species reduces the efficiency of CRISPR-Cas but does not necessary lead to longer arrays. Our study provides a new viewpoint at a variety of the observed array spacer number and could be used as a base for evolutionary models of host-phage coexistence.
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Affiliation(s)
- Alexander Martynov
- Center for Data-Intensive Biomedicine and Biotechnology, Skolkovo Institute of Science and Technology, Moscow, Russia
- * E-mail: (II); (AM)
| | - Konstantin Severinov
- Center for Data-Intensive Biomedicine and Biotechnology, Skolkovo Institute of Science and Technology, Moscow, Russia
- Waksman Institute of Microbiology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America
- Institute of Molecular Genetics, Russian Academy of Sciences, Moscow, Russia
| | - Iaroslav Ispolatov
- Department of Physics, University of Santiago de Chile, Santiago, Chile
- * E-mail: (II); (AM)
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17
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Rodic A, Blagojevic B, Djordjevic M, Severinov K, Djordjevic M. Features of CRISPR-Cas Regulation Key to Highly Efficient and Temporally-Specific crRNA Production. Front Microbiol 2017; 8:2139. [PMID: 29163425 PMCID: PMC5675862 DOI: 10.3389/fmicb.2017.02139] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Accepted: 10/19/2017] [Indexed: 12/15/2022] Open
Abstract
Bacterial immune systems, such as CRISPR-Cas or restriction-modification (R-M) systems, affect bacterial pathogenicity and antibiotic resistance by modulating horizontal gene flow. A model system for CRISPR-Cas regulation, the Type I-E system from Escherichia coli, is silent under standard laboratory conditions and experimentally observing the dynamics of CRISPR-Cas activation is challenging. Two characteristic features of CRISPR-Cas regulation in E. coli are cooperative transcription repression of cas gene and CRISPR array promoters, and fast non-specific degradation of full length CRISPR transcripts (pre-crRNA). In this work, we use computational modeling to understand how these features affect the system expression dynamics. Signaling which leads to CRISPR-Cas activation is currently unknown, so to bypass this step, we here propose a conceptual setup for cas expression activation, where cas genes are put under transcription control typical for a restriction-modification (R-M) system and then introduced into a cell. Known transcription regulation of an R-M system is used as a proxy for currently unknown CRISPR-Cas transcription control, as both systems are characterized by high cooperativity, which is likely related to similar dynamical constraints of their function. We find that the two characteristic CRISPR-Cas control features are responsible for its temporally-specific dynamical response, so that the system makes a steep (switch-like) transition from OFF to ON state with a time-delay controlled by pre-crRNA degradation rate. We furthermore find that cooperative transcription regulation qualitatively leads to a cross-over to a regime where, at higher pre-crRNA processing rates, crRNA generation approaches the limit of an infinitely abrupt system induction. We propose that these dynamical properties are associated with rapid expression of CRISPR-Cas components and efficient protection of bacterial cells against foreign DNA. In terms of synthetic applications, the setup proposed here should allow highly efficient expression of small RNAs in a narrow time interval, with a specified time-delay with respect to the signal onset.
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Affiliation(s)
- Andjela Rodic
- Faculty of Biology, Institute of Physiology and Biochemistry, University of Belgrade, Belgrade, Serbia.,Multidisciplinary PhD Program in Biophysics, University of Belgrade, Belgrade, Serbia
| | - Bojana Blagojevic
- Institute of Physics Belgrade, University of Belgrade, Belgrade, Serbia
| | | | - Konstantin Severinov
- Waksman Institute of Microbiology, Rutgers University, Piscataway, NJ, United States.,Skolkovo Institute of Science and Technology, Skolkovo, Russia
| | - Marko Djordjevic
- Faculty of Biology, Institute of Physiology and Biochemistry, University of Belgrade, Belgrade, Serbia
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18
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Rao C, Chin D, Ensminger AW. Priming in a permissive type I-C CRISPR-Cas system reveals distinct dynamics of spacer acquisition and loss. RNA (NEW YORK, N.Y.) 2017; 23:1525-1538. [PMID: 28724535 PMCID: PMC5602111 DOI: 10.1261/rna.062083.117] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/14/2017] [Accepted: 07/08/2017] [Indexed: 06/07/2023]
Abstract
CRISPR-Cas is a bacterial and archaeal adaptive immune system that uses short, invader-derived sequences termed spacers to target invasive nucleic acids. Upon recognition of previously encountered invaders, the system can stimulate secondary spacer acquisitions, a process known as primed adaptation. Previous studies of primed adaptation have been complicated by intrinsically high interference efficiency of most systems against bona fide targets. As such, most primed adaptation to date has been studied within the context of imperfect sequence complementarity between spacers and targets. Here, we take advantage of a native type I-C CRISPR-Cas system in Legionella pneumophila that displays robust primed adaptation even within the context of a perfectly matched target. Using next-generation sequencing to survey acquired spacers, we observe strand bias and positional preference that are consistent with a 3'-5' translocation of the adaptation machinery. We show that spacer acquisition happens in a wide range of frequencies across the plasmid, including a remarkable hotspot that predominates irrespective of the priming strand. We systematically characterize protospacer sequence constraints in both adaptation and interference and reveal extensive flexibilities regarding the protospacer adjacent motif in both processes. Lastly, in a strain with a genetically truncated CRISPR array, we observe increased interference efficiency, which, when coupled with forced maintenance of a targeted plasmid, provides a useful experimental system to study spacer loss. Based on these observations, we propose that the Legionella pneumophila type I-C system represents a powerful model to study primed adaptation and the interplay between CRISPR interference and adaptation.
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Affiliation(s)
- Chitong Rao
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5G 1M1, Canada
| | - Denny Chin
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5G 1M1, Canada
| | - Alexander W Ensminger
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5G 1M1, Canada
- Department of Biochemistry, University of Toronto, Toronto, Ontario M5G 1M1, Canada
- Public Health Ontario, Toronto, Ontario M5G 1M1, Canada
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19
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Jackson SA, McKenzie RE, Fagerlund RD, Kieper SN, Fineran PC, Brouns SJJ. CRISPR-Cas: Adapting to change. Science 2017; 356:356/6333/eaal5056. [PMID: 28385959 DOI: 10.1126/science.aal5056] [Citation(s) in RCA: 274] [Impact Index Per Article: 34.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Bacteria and archaea are engaged in a constant arms race to defend against the ever-present threats of viruses and invasion by mobile genetic elements. The most flexible weapons in the prokaryotic defense arsenal are the CRISPR-Cas adaptive immune systems. These systems are capable of selective identification and neutralization of foreign DNA and/or RNA. CRISPR-Cas systems rely on stored genetic memories to facilitate target recognition. Thus, to keep pace with a changing pool of hostile invaders, the CRISPR memory banks must be regularly updated with new information through a process termed CRISPR adaptation. In this Review, we outline the recent advances in our understanding of the molecular mechanisms governing CRISPR adaptation. Specifically, the conserved protein machinery Cas1-Cas2 is the cornerstone of adaptive immunity in a range of diverse CRISPR-Cas systems.
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Affiliation(s)
- Simon A Jackson
- Department of Microbiology and Immunology, University of Otago, Post Office Box 56, Dunedin 9054, New Zealand
| | - Rebecca E McKenzie
- Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, Netherlands
| | - Robert D Fagerlund
- Department of Microbiology and Immunology, University of Otago, Post Office Box 56, Dunedin 9054, New Zealand
| | - Sebastian N Kieper
- Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, Netherlands
| | - Peter C Fineran
- Department of Microbiology and Immunology, University of Otago, Post Office Box 56, Dunedin 9054, New Zealand. .,Bio-Protection Research Centre, University of Otago, Post Office Box 56, Dunedin 9054, New Zealand
| | - Stan J J Brouns
- Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, Netherlands. .,Laboratory of Microbiology, Wageningen University, Wageningen, Netherlands
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20
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Kuznedelov K, Mekler V, Lemak S, Tokmina-Lukaszewska M, Datsenko KA, Jain I, Savitskaya E, Mallon J, Shmakov S, Bothner B, Bailey S, Yakunin AF, Severinov K, Semenova E. Altered stoichiometry Escherichia coli Cascade complexes with shortened CRISPR RNA spacers are capable of interference and primed adaptation. Nucleic Acids Res 2016; 44:10849-10861. [PMID: 27738137 PMCID: PMC5159557 DOI: 10.1093/nar/gkw914] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2016] [Revised: 09/29/2016] [Accepted: 10/03/2016] [Indexed: 12/26/2022] Open
Abstract
The Escherichia coli type I-E CRISPR-Cas system Cascade effector is a multisubunit complex that binds CRISPR RNA (crRNA). Through its 32-nucleotide spacer sequence, Cascade-bound crRNA recognizes protospacers in foreign DNA, causing its destruction during CRISPR interference or acquisition of additional spacers in CRISPR array during primed CRISPR adaptation. Within Cascade, the crRNA spacer interacts with a hexamer of Cas7 subunits. We show that crRNAs with a spacer length reduced to 14 nucleotides cause primed adaptation, while crRNAs with spacer lengths of more than 20 nucleotides cause both primed adaptation and target interference in vivo. Shortened crRNAs assemble into altered-stoichiometry Cascade effector complexes containing less than the normal amount of Cas7 subunits. The results show that Cascade assembly is driven by crRNA and suggest that multisubunit type I CRISPR effectors may have evolved from much simpler ancestral complexes.
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Affiliation(s)
- Konstantin Kuznedelov
- Waksman Institute of Microbiology, Rutgers, the State University of New Jersey, Piscataway, NJ 08854, USA
| | - Vladimir Mekler
- Waksman Institute of Microbiology, Rutgers, the State University of New Jersey, Piscataway, NJ 08854, USA
| | - Sofia Lemak
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario M5S 3E5, Canada
| | | | - Kirill A Datsenko
- Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA
| | - Ishita Jain
- Waksman Institute of Microbiology, Rutgers, the State University of New Jersey, Piscataway, NJ 08854, USA
| | - Ekaterina Savitskaya
- Skolkovo Institute of Science and Technology, Skolkovo 143025, Russia.,Institute of Molecular Genetics, Russian Academy of Sciences, Moscow 123182, Russia
| | - John Mallon
- Department of Biochemistry and Molecular Biology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Sergey Shmakov
- Skolkovo Institute of Science and Technology, Skolkovo 143025, Russia.,NCBI, NLM, NIH, Bethesda, MD 20894, USA
| | - Brian Bothner
- Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT 59717, USA
| | - Scott Bailey
- Department of Biochemistry and Molecular Biology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Alexander F Yakunin
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario M5S 3E5, Canada
| | - Konstantin Severinov
- Waksman Institute of Microbiology, Rutgers, the State University of New Jersey, Piscataway, NJ 08854, USA .,Skolkovo Institute of Science and Technology, Skolkovo 143025, Russia.,Institute of Molecular Genetics, Russian Academy of Sciences, Moscow 123182, Russia.,Peter the Great St Petersburg State Polytechnic University, St. Petersburg, 195251, Russia
| | - Ekaterina Semenova
- Waksman Institute of Microbiology, Rutgers, the State University of New Jersey, Piscataway, NJ 08854, USA
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