The DOI matches its Crossref record; its reference list is not available.
Distribution and molecular evolution of the anti-CRISPR family AcrIF7
Open accessPreprint — published as 10.1371/journal.pbio.3002072 · Paper page
Abstract
Anti-CRISPRs are proteins capable of blocking CRISPR-Cas systems and typically encoded in mobile genetic elements. Since their discovery, numerous anti-CRISPR families have been identified. However, little is known about the distribution and sequence diversity of members within a family, nor how these traits influence the anti-CRISPR’s function and evolution. Here we use AcrIF7 to explore the dissemination and molecular evolution of an anti-CRISPR family. We uncovered five sub-clusters and prevalent anti-CRISPR variants within the group. Remarkably, AcrIF7 homologs display high similarity despite their broad geographical, ecological and temporal distribution. Although mainly associated with Pseudomonas aeruginosa , AcrIF7 was identified in distinct genetic backgrounds indicating horizontal dissemination, primarily by phages. Using mutagenesis, we recreated variation observed in databases but also extended the sequence diversity of the group. Characterisation of the variants identified residues key for the anti-CRISPR function and other contributing to its mutational tolerance. Moreover, molecular docking revealed that variants with affected function lose key interactions with its CRISPR-Cas target. Analysis of publicly available data and the generated variants suggests that the dominant AcrIF7 variant corresponds to the minimal and optimal anti-CRISPR selected in the family. Our study provides a blueprint to investigate the molecular evolution of anti-CRISPR families.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 70 · Cited by 2
Research works printed but not linked: 59
- Doron S , Melamed S , Ofir G , Leavitt A , Lopatina A , Keren M , et al. Systematic discovery of antiphage defense systems in the microbial pangenome. Science 2018; 359. · DOI
- 10.1007/s00239-004-0046-3 · DOI · Paper page
- 10.1126/science.1138140 · DOI · Paper page
- 10.1126/science.1159689 · DOI · Paper page
- 10.1038/nrg2749 · DOI · Paper page
- 10.1186/1471-2105-8-172 · DOI · Paper page
- 10.1099/mic.0.045732-0 · DOI
- 10.1128/mBio.01796-15 · DOI
- 10.1002/bies.201000071 · DOI
- 10.1038/nature11723 · DOI
- 10.1128/mBio.00896-14 · DOI
- 10.1093/nar/gkx835 · DOI
- 2020, Discovery of multiple anti-CRISPRs highlights anti-defense gene clustering in mobile genetic elements, Nat Commun, 11, 5652, 10.1038/s41467-020-19415-3 · DOI
- Trasanidou D , Gerós AS , Mohanraju P , Nieuwenweg AC , Nobrega FL , Staals RHJ. Keeping crispr in check: diverse mechanisms of phage-encoded anti-crisprs. FEMS Microbiol Lett 2019; 366. · DOI
- 10.1038/nature15254 · DOI
- Pawluk A , Shah M , Mejdani M , Calmettes C , Moraes TF , Davidson AR , et al. Disabling a Type I-E CRISPR-Cas Nuclease with a Bacteriophage-Encoded Anti-CRISPR Protein. mBio. 2017., 8 · DOI
- 2020, Diversity of molecular mechanisms used by anti-CRISPR proteins: the tip of an iceberg?, Biochem Soc Trans, 48, 507, 10.1042/BST20190638 · DOI
- 2020, Structural and mechanistic insights into the CRISPR inhibition of AcrIF7, Nucleic Acids Res, 48, 9959, 10.1093/nar/gkaa690 · DOI
- 10.1038/ncomms13134 · DOI
- 10.1128/JB.01184-12 · DOI
- 10.1186/1471-2164-15-1146 · DOI
- 10.1006/jmbi.1990.9999 · DOI · Paper page
- 10.1093/nar/gki390 · DOI
- 10.1093/molbev/msp259 · DOI
- 10.1093/bioinformatics/btp033 · DOI
- 10.1093/bioinformatics/btu031 · DOI
- 2019, Plasmid ATLAS: plasmid visual analytics and identification in high-throughput sequencing data, Nucleic Acids Res, 47, D188, 10.1093/nar/gky1073 · DOI
- 10.1093/bioinformatics/btq413 · DOI
- Jolley KA , Maiden MCJ . BIGSdb: Scalable analysis of bacterial genome variation at the population level. BMC Bioinformatics. 2010., 11 · DOI
- 2020, CRISPRCasTyper: Automated Identification, Annotation, and Classification of CRISPR-Cas Loci, CRISPR J, 3, 462, 10.1089/crispr.2020.0059 · DOI
- 10.1093/molbev/msm088 · DOI · Paper page
- 10.1093/molbev/msu300 · DOI · Paper page
- 10.1101/gr.2.1.28 · DOI
- 10.1016/B978-0-12-418687-3.00028-8 · DOI
- 10.1016/j.mimet.2005.06.001 · DOI
- 1966, The enzymatic phosphorylation of ribonucleic acid and deoxyribonucleic acid, II. Further properties of the 5’-hydroxyl polynucleotide kinase. J Biol Chem, 241, 2933
- 2021, Structural Biology in the Clouds: The WeNMR-EOSC Ecosystem, Front Mol Biosci, 8, 729513, 10.3389/fmolb.2021.729513 · DOI
- 10.1021/ci200227u · DOI
- 10.1002/PRO.3943 · DOI
- 2016, Inactivation of CRISPR-Cas systems by anti-CRISPR proteins in diverse bacterial species, Nat Microbiol, 1, 16085, 10.1038/nmicrobiol.2016.85 · DOI
- 2022, The structure of AcrIE4-F7 reveals a common strategy for dual CRISPR inhibition by targeting PAM recognition sites, Nucleic Acids Res, 50, 2363, 10.1093/nar/gkac096 · DOI
- 10.1126/science.aau5174 · DOI
- 2021, Structural basis for inhibition of the type I-F CRISPR-Cas surveillance complex by AcrIF4, AcrIF7 and AcrIF14, Nucleic Acids Res, 49, 584, 10.1093/nar/gkaa1199 · DOI
- 10.1016/j.molcel.2019.02.001 · DOI
- 10.1016/j.cell.2017.09.006 · DOI
- 2014, A novel Pseudomonas aeruginosa bacteriophage, Ab31, a chimera formed from temperate phage PAJU2 and P. putida lytic phage AF: characteristics and mechanism of bacterial resistance, PLoS One, 9, e93777, 10.1371/journal.pone.0093777 · DOI
- 2020, Broad-spectrum anti-CRISPR proteins facilitate horizontal gene transfer, Nat Microbiol, 5, 620, 10.1038/s41564-020-0692-2 · DOI
- 10.1038/s41467-018-05092-w · DOI
- Briones C. Evolution, In Vitro. Encyclopedia of Astrobiology. 2014., 1–3 · DOI
- 10.1038/35070613 · DOI
- 10.1016/S1074-5521(00)00015-6 · DOI
- 10.1101/gr.87702. Article published online before print in May 2002 · DOI
- 10.1073/pnas.0406744102 · DOI
- 10.1002/prot.21227 · DOI
- Hom N , Gentles L , Bloom JD , Lee KK . Deep Mutational Scan of the Highly Conserved Influenza A Virus M1 Matrix Protein Reveals Substantial Intrinsic Mutational Tolerance. J Virol 2019; 93. · DOI
- 2021, The Adaptive Potential of the Middle Domain of Yeast Hsp90, Mol Biol Evol, 38, 368, 10.1093/molbev/msaa211 · DOI
- 10.1002/pro.5560020310 · DOI
- 2018, Advances in Industrial Biotechnology Using CRISPR-Cas Systems, Trends Biotechnol, 36, 134, 10.1016/j.tibtech.2017.07.007 · DOI
- 2020, Anti-CRISPR protein applications: natural brakes for CRISPR-Cas technologies, Nat Methods, 17, 471, 10.1038/s41592-020-0771-6 · DOI
Metadata
- Authors
- Figueroa, W., Cazares, A., Cazares, D., Wu, Y., de la Cruz, A., Welch, M., Kameyama, L., Nobrega, F. L., & Guarneros, G.
- Affiliations
- University of Cambridge (GB)
- European Bioinformatics Institute (GB)
- Universidad Nacional Autónoma de México (MX)
- University of Southampton (GB)
- Instituto Politécnico Nacional (MX)
- Corresponding author
- Figueroa, Wendy
- Cazares, Adrián
- Guarneros, Gabriel
- ORCID
- Venue
- PLoS Biology
- Publisher
- openRxiv
- Published
- 2021-06-27
- Volume
- 21
- Issue
- 4
- Pages
- e3002072-e3002072
- ISSN
- 1544-9173 (ISSN-L)
- PMC
- PMC10155984
- OpenAlex
- W4366602903
- Cited by
- 2
- References
- 70
- Citations by year
- 2025: 1 · 2024: 1
- FWCI
- 0.18
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- PLoS Biology (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ePrints Soton (University of Southampton) (acceptedVersion)
- Apollo (University of Cambridge) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Apollo (cc-by)
- Funders
- Wellcome Trust
- European Bioinformatics Institute
- European Molecular Biology Laboratory
- Consejo Nacional de Ciencia y Tecnología (586079, 591274 and 706017, 255255, 706017)
- Cambridge Trust (10469474)
- Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Life Sciences › Immunology and Microbiology › Virology › Bacteriophages and microbial interactions
- Keywords
- anti-CRISPR proteins, CRISPR-Cas, molecular evolution, horizontal gene transfer, phage-bacteria interactions, Pseudomonas aeruginosa, sequence diversity, mutational tolerance, protein structure-function relationship, molecular docking
- MeSH terms
- Bacteriophages, Humans, Mutation, Evolution, Molecular, Molecular Docking Simulation, CRISPR-Cas Systems
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review