1
|
Zeng M, Zhang QY, Ke F. Characterization of Five CRISPR Systems in Microcystis aeruginosa FACHB-524 with Focus on the In Vitro Antiviral Activity of One CRISPR System. Int J Mol Sci 2025; 26:1554. [PMID: 40004028 PMCID: PMC11855584 DOI: 10.3390/ijms26041554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2025] [Revised: 02/08/2025] [Accepted: 02/11/2025] [Indexed: 02/27/2025] Open
Abstract
Microcystis aeruginosa is an important species causing cyanobacterial blooms, which can be effectively infected and lysed by cyanophages. Several strategies have been developed by M. aeruginosa to resist cyanophage infections, including the CRISPR-Cas systems. However, detailed information on the CRISPR-Cas systems in M. aeruginosa is rare. In the present study, the CRISPR-Cas systems of M. aeruginosa FACHB-524 were analyzed by genome re-sequencing, which showed that there are two type I (Cluster 1, I-B1; Cluster 2, I-D) and three type III-B (Cluster 3/4/5) CRISPR-Cas systems in the cyanobacteria. Further comparison revealed that spacer sequences of two type III-B systems targeted several genes of the cyanophage MaMV (M. aeruginosa myovirus) strains. One of the type III systems (Cluster 4) was then cloned and expressed in Escherichia coli BL21 (DE3). Protein purification and mass spectrometry identification revealed that a Cmr-crRNA effector complex formed in the E. coli. Subsequently, T4 phage (T4) was used to infect the E. coli, expressing the Cmr-crRNA complex with or without accessory proteins. The results showed that the Cmr-crRNA effector complex exhibited anti-phage activity and the accessory protein Csx1 enhanced the immune activity of the complex. Collectively, our results comprehensively demonstrate the CRISPR systems encoded by a strain of M. aeruginosa, and for the first time, one of the CRISPR systems was constructed into E. coli, providing a foundation for further in-depth analysis of cyanobacterial CRISPR systems.
Collapse
Affiliation(s)
- Mengjing Zeng
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; (M.Z.)
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qi-Ya Zhang
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fei Ke
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| |
Collapse
|
2
|
Khot V, Strous M, Dong X, Kiesser AK. Viral diversity and dynamics and CRISPR-Cas-mediated immunity in a robust alkaliphilic cyanobacterial consortium. Microbiol Spectr 2023; 11:e0221723. [PMID: 37819096 PMCID: PMC10715143 DOI: 10.1128/spectrum.02217-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 08/25/2023] [Indexed: 10/13/2023] Open
Abstract
IMPORTANCE Biotechnology applications utilizing the function of microbial communities have become increasingly important solutions as we strive for sustainable applications. Although viral infections are known to have a significant impact on microbial turnover and nutrient cycling, viral dynamics have remained largely overlooked in these engineered communities. Predatory perturbations to the functional stability of these microbial biotechnology applications must be investigated in order to design more robust applications. In this study, we closely examine virus-microbe dynamics in a model microbial community used in a biotechnology application. Our findings suggest that viral dynamics change significantly with environmental conditions and that microbial immunity may play an important role in maintaining functional stability. We present this study as a comprehensive template for other researchers interested in exploring predatory dynamics in engineered microbial communities.
Collapse
Affiliation(s)
- Varada Khot
- Department of Geoscience, University of Calgary, Calgary, Alberta, Canada
| | - Marc Strous
- Department of Geoscience, University of Calgary, Calgary, Alberta, Canada
| | - Xiaoli Dong
- Department of Geoscience, University of Calgary, Calgary, Alberta, Canada
- Public Health Laboratory, Alberta Precision Laboratories, Foothills Medical Centre, Calgary, Alberta, Canada
| | - Alyse K. Kiesser
- School of Engineering, University of British Columbia Okanagan, Kelowna, British Columbia, Canada
| |
Collapse
|
3
|
Ziemann M, Reimann V, Liang Y, Shi Y, Ma H, Xie Y, Li H, Zhu T, Lu X, Hess WR. CvkR is a MerR-type transcriptional repressor of class 2 type V-K CRISPR-associated transposase systems. Nat Commun 2023; 14:924. [PMID: 36801863 PMCID: PMC9938897 DOI: 10.1038/s41467-023-36542-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 02/06/2023] [Indexed: 02/20/2023] Open
Abstract
Certain CRISPR-Cas elements integrate into Tn7-like transposons, forming CRISPR-associated transposon (CAST) systems. How the activity of these systems is controlled in situ has remained largely unknown. Here we characterize the MerR-type transcriptional regulator Alr3614 that is encoded by one of the CAST (AnCAST) system genes in the genome of cyanobacterium Anabaena sp. PCC 7120. We identify a number of Alr3614 homologs across cyanobacteria and suggest naming these regulators CvkR for Cas V-K repressors. Alr3614/CvkR is translated from leaderless mRNA and represses the AnCAST core modules cas12k and tnsB directly, and indirectly the abundance of the tracr-CRISPR RNA. We identify a widely conserved CvkR binding motif 5'-AnnACATnATGTnnT-3'. Crystal structure of CvkR at 1.6 Å resolution reveals that it comprises distinct dimerization and potential effector-binding domains and that it assembles into a homodimer, representing a discrete structural subfamily of MerR regulators. CvkR repressors are at the core of a widely conserved regulatory mechanism that controls type V-K CAST systems.
Collapse
Affiliation(s)
- Marcus Ziemann
- Faculty of Biology, Institute of Biology III, Genetics and Experimental Bioinformatics, University of Freiburg, Schänzlestr. 1, Freiburg, D-79104, Germany
| | - Viktoria Reimann
- Faculty of Biology, Institute of Biology III, Genetics and Experimental Bioinformatics, University of Freiburg, Schänzlestr. 1, Freiburg, D-79104, Germany
| | - Yajing Liang
- Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT), Chinese Academy of Sciences, No.189 Songling Road, Qingdao, 266101, China.,Shandong Energy Institute, Qingdao, 266101, China.,Qingdao New Energy Shandong Laboratory, Qingdao, 266101, China
| | - Yue Shi
- Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT), Chinese Academy of Sciences, No.189 Songling Road, Qingdao, 266101, China.,Shandong Energy Institute, Qingdao, 266101, China.,Qingdao New Energy Shandong Laboratory, Qingdao, 266101, China
| | - Honglei Ma
- Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT), Chinese Academy of Sciences, No.189 Songling Road, Qingdao, 266101, China.,Shandong Energy Institute, Qingdao, 266101, China.,Qingdao New Energy Shandong Laboratory, Qingdao, 266101, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yuman Xie
- Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT), Chinese Academy of Sciences, No.189 Songling Road, Qingdao, 266101, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hui Li
- Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT), Chinese Academy of Sciences, No.189 Songling Road, Qingdao, 266101, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Tao Zhu
- Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT), Chinese Academy of Sciences, No.189 Songling Road, Qingdao, 266101, China. .,Shandong Energy Institute, Qingdao, 266101, China. .,Qingdao New Energy Shandong Laboratory, Qingdao, 266101, China. .,University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Xuefeng Lu
- Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT), Chinese Academy of Sciences, No.189 Songling Road, Qingdao, 266101, China. .,Shandong Energy Institute, Qingdao, 266101, China. .,Qingdao New Energy Shandong Laboratory, Qingdao, 266101, China. .,University of Chinese Academy of Sciences, Beijing, 100049, China. .,Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China.
| | - Wolfgang R Hess
- Faculty of Biology, Institute of Biology III, Genetics and Experimental Bioinformatics, University of Freiburg, Schänzlestr. 1, Freiburg, D-79104, Germany.
| |
Collapse
|
4
|
Mitrofanov A, Ziemann M, Alkhnbashi OS, Hess WR, Backofen R. CRISPRtracrRNA: robust approach for CRISPR tracrRNA detection. Bioinformatics 2022; 38:ii42-ii48. [PMID: 36124799 PMCID: PMC9486595 DOI: 10.1093/bioinformatics/btac466] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
MOTIVATION The CRISPR-Cas9 system is a Type II CRISPR system that has rapidly become the most versatile and widespread tool for genome engineering. It consists of two components, the Cas9 effector protein, and a single guide RNA that combines the spacer (for identifying the target) with the tracrRNA, a trans-activating small RNA required for both crRNA maturation and interference. While there are well-established methods for screening Cas effector proteins and CRISPR arrays, the detection of tracrRNA remains the bottleneck in detecting Class 2 CRISPR systems. RESULTS We introduce a new pipeline CRISPRtracrRNA for screening and evaluation of tracrRNA candidates in genomes. This pipeline combines evidence from different components of the Cas9-sgRNA complex. The core is a newly developed structural model via covariance models from a sequence-structure alignment of experimentally validated tracrRNAs. As additional evidence, we determine the terminator signal (required for the tracrRNA transcription) and the RNA-RNA interaction between the CRISPR array repeat and the 5'-part of the tracrRNA. Repeats are detected via an ML-based approach (CRISPRidenify). Providing further evidence, we detect the cassette containing the Cas9 (Type II CRISPR systems) and Cas12 (Type V CRISPR systems) effector protein. Our tool is the first for detecting tracrRNA for Type V systems. AVAILABILITY AND IMPLEMENTATION The implementation of the CRISPRtracrRNA is available on GitHub upon requesting the access permission, (https://github.com/BackofenLab/CRISPRtracrRNA). Data generated in this study can be obtained upon request to the corresponding person: Rolf Backofen (backofen@informatik.uni-freiburg.de). SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Collapse
Affiliation(s)
| | | | | | - Wolfgang R Hess
- Faculty of Biology, Genetics and Experimental Bioinformatics, University of Freiburg, Freiburg, Germany
| | | |
Collapse
|
5
|
Ambroa A, Blasco L, López M, Pacios O, Bleriot I, Fernández-García L, González de Aledo M, Ortiz-Cartagena C, Millard A, Tomás M. Genomic Analysis of Molecular Bacterial Mechanisms of Resistance to Phage Infection. Front Microbiol 2022; 12:784949. [PMID: 35250902 PMCID: PMC8891609 DOI: 10.3389/fmicb.2021.784949] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 12/27/2021] [Indexed: 12/27/2022] Open
Abstract
To optimize phage therapy, we need to understand how bacteria evolve against phage attacks. One of the main problems of phage therapy is the appearance of bacterial resistance variants. The use of genomics to track antimicrobial resistance is increasingly developed and used in clinical laboratories. For that reason, it is important to consider, in an emerging future with phage therapy, to detect and avoid phage-resistant strains that can be overcome by the analysis of metadata provided by whole-genome sequencing. Here, we identified genes associated with phage resistance in 18 Acinetobacter baumannii clinical strains belonging to the ST-2 clonal complex during a decade (Ab2000 vs. 2010): 9 from 2000 to 9 from 2010. The presence of genes putatively associated with phage resistance was detected. Genes detected were associated with an abortive infection system, restriction-modification system, genes predicted to be associated with defense systems but with unknown function, and CRISPR-Cas system. Between 118 and 171 genes were found in the 18 clinical strains. On average, 26% of these genes were detected inside genomic islands in the 2000 strains and 32% in the 2010 strains. Furthermore, 38 potential CRISPR arrays in 17 of 18 of the strains were found, as well as 705 proteins associated with CRISPR-Cas systems. A moderately higher presence of these genes in the strains of 2010 in comparison with those of 2000 was found, especially those related to the restriction-modification system and CRISPR-Cas system. The presence of these genes in genomic islands at a higher rate in the strains of 2010 compared with those of 2000 was also detected. Whole-genome sequencing and bioinformatics could be powerful tools to avoid drawbacks when a personalized therapy is applied. In this study, it allows us to take care of the phage resistance in A. baumannii clinical strains to prevent a failure in possible phage therapy.
Collapse
Affiliation(s)
- Antón Ambroa
- Microbiology Department-Research Institute Biomedical A Coruña (INIBIC), Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
- Study Group on Mechanisms of Action and Resistance to Antimicrobials (GEMARA) the Behalf of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), Madrid, Spain
| | - Lucia Blasco
- Microbiology Department-Research Institute Biomedical A Coruña (INIBIC), Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
- Study Group on Mechanisms of Action and Resistance to Antimicrobials (GEMARA) the Behalf of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), Madrid, Spain
| | - María López
- Microbiology Department-Research Institute Biomedical A Coruña (INIBIC), Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
- Study Group on Mechanisms of Action and Resistance to Antimicrobials (GEMARA) the Behalf of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), Madrid, Spain
- Spanish Network for Research in Infectious Diseases (REIPI), Infectious Diseases Network Biomedical Research Center (CIBERINFEC), Carlos III Health Institute, Madrid, Spain
| | - Olga Pacios
- Microbiology Department-Research Institute Biomedical A Coruña (INIBIC), Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
- Study Group on Mechanisms of Action and Resistance to Antimicrobials (GEMARA) the Behalf of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), Madrid, Spain
| | - Inés Bleriot
- Microbiology Department-Research Institute Biomedical A Coruña (INIBIC), Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
- Study Group on Mechanisms of Action and Resistance to Antimicrobials (GEMARA) the Behalf of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), Madrid, Spain
| | - Laura Fernández-García
- Microbiology Department-Research Institute Biomedical A Coruña (INIBIC), Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
- Study Group on Mechanisms of Action and Resistance to Antimicrobials (GEMARA) the Behalf of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), Madrid, Spain
| | - Manuel González de Aledo
- Microbiology Department-Research Institute Biomedical A Coruña (INIBIC), Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
| | - Concha Ortiz-Cartagena
- Microbiology Department-Research Institute Biomedical A Coruña (INIBIC), Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
- Study Group on Mechanisms of Action and Resistance to Antimicrobials (GEMARA) the Behalf of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), Madrid, Spain
| | - Andrew Millard
- Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
| | - María Tomás
- Microbiology Department-Research Institute Biomedical A Coruña (INIBIC), Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
- Study Group on Mechanisms of Action and Resistance to Antimicrobials (GEMARA) the Behalf of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), Madrid, Spain
- Spanish Network for Research in Infectious Diseases (REIPI), Infectious Diseases Network Biomedical Research Center (CIBERINFEC), Carlos III Health Institute, Madrid, Spain
| |
Collapse
|
6
|
Shmakov SA, Utkina I, Wolf YI, Makarova KS, Severinov KV, Koonin EV. CRISPR Arrays Away from cas Genes. CRISPR J 2020; 3:535-549. [PMID: 33346707 PMCID: PMC7757702 DOI: 10.1089/crispr.2020.0062] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
CRISPR-Cas systems typically consist of a CRISPR array and cas genes that are organized in one or more operons. However, a substantial fraction of CRISPR arrays are not adjacent to cas genes. Definitive identification of such isolated CRISPR arrays runs into the problem of false-positives, with unrelated types of repetitive sequences mimicking CRISPR. We developed a computational pipeline to eliminate false CRISPR predictions and found that up to 25% of the CRISPR arrays in complete bacterial and archaeal genomes are located away from cas genes. Most of the repeats in these isolated arrays are identical to repeats in cas-adjacent CRISPR arrays in the same or closely related genomes, indicating an evolutionary relationship between isolated arrays and arrays in typical CRISPR-cas loci. The spacers in isolated CRISPR arrays show nearly as many matches to viral genomes as spacers from complete CRISPR-cas loci, suggesting that the isolated arrays were either functionally active recently or continue to function. Reconstruction of evolutionary events in closely related bacterial genomes suggests three routes of evolution of isolated CRISPR arrays: (1) loss of cas genes in a CRISPR-cas locus, (2) de novo generation of arrays from off-target spacer integration into sequences resembling the corresponding repeats, and (3) transfer by mobile genetic elements. Both combination of de novo emerging arrays with cas genes and regain of cas genes by isolated arrays via recombination likely contribute to functional diversification in CRISPR-Cas evolution.
Collapse
Affiliation(s)
- Sergey A. Shmakov
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA; Rutgers, State University of New Jersey, Piscataway, New Jersey, USA
| | - Irina Utkina
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA; Rutgers, State University of New Jersey, Piscataway, New Jersey, USA
- Skolkovo Institute of Science and Technology, Skolkovo, Russia; Rutgers, State University of New Jersey, Piscataway, New Jersey, USA
- The Hospital for Sick Children, University of Toronto, Toronto, Canada; Rutgers, State University of New Jersey, Piscataway, New Jersey, USA
| | - Yuri I. Wolf
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA; Rutgers, State University of New Jersey, Piscataway, New Jersey, USA
| | - Kira S. Makarova
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA; Rutgers, State University of New Jersey, Piscataway, New Jersey, USA
| | - Konstantin V. Severinov
- Institute of Molecular Genetics, Russian Academy of Sciences, Moscow, Russia; and Rutgers, State University of New Jersey, Piscataway, New Jersey, USA
- Waksman Institute of Microbiology, Rutgers, State University of New Jersey, Piscataway, New Jersey, USA
| | - Eugene V. Koonin
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA; Rutgers, State University of New Jersey, Piscataway, New Jersey, USA
| |
Collapse
|