Cited by 25CRISPR and Genetic EngineeringBacterial Genetics and BiotechnologyBacteriophages and microbial interactions

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

CRISPR antiphage defence mediated by the cyclic nucleotide-binding membrane protein Csx23

Open access

Published version of a preprint

Abstract

CRISPR-Cas provides adaptive immunity in prokaryotes. Type III CRISPR systems detect invading RNA and activate the catalytic Cas10 subunit, which generates a range of nucleotide second messengers to signal infection. These molecules bind and activate a diverse range of effector proteins that provide immunity by degrading viral components and/or by disturbing key aspects of cellular metabolism to slow down viral replication. Here, we focus on the uncharacterised effector Csx23, which is widespread in Vibrio cholerae. Csx23 provides immunity against plasmids and phage when expressed in Escherichia coli along with its cognate type III CRISPR system. The Csx23 protein localises in the membrane using an N-terminal transmembrane α-helical domain and has a cytoplasmic C-terminal domain that binds cyclic tetra-adenylate (cA4), activating its defence function. Structural studies reveal a tetrameric structure with a novel fold that binds cA4 specifically. Using pulse EPR, we demonstrate that cA4 binding to the cytoplasmic domain of Csx23 results in a major perturbation of the transmembrane domain, consistent with the opening of a pore and/or disruption of membrane integrity. This work reveals a new class of cyclic nucleotide binding protein and provides key mechanistic detail on a membrane-associated CRISPR effector.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/nar/gkae167

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cites

Flagged first, then by citations

Research works printed but not linked: 79

  1. Hale, 2009, RNA-guided RNA cleavage by a CRISPR RNA-Cas protein complex, Cell, 139, 945, 10.1016/j.cell.2009.07.040 · DOI · Paper page
  2. Elmore, 2016, Bipartite recognition of target RNAs activates DNA cleavage by the type III-B CRISPR-Cas system, Genes Dev., 30, 447, 10.1101/gad.272153.115 · DOI
  3. Estrella, 2016, RNA-activated DNA cleavage by the type III-B CRISPR-Cas effector complex, Genes Dev., 30, 460, 10.1101/gad.273722.115 · DOI
  4. Kazlauskiene, 2016, Spatiotemporal control of type III-A CRISPR-Cas immunity: coupling DNA degradation with the target RNA recognition, Mol. Cell, 62, 295, 10.1016/j.molcel.2016.03.024 · DOI · Paper page
  5. Han, 2017, A type III-B CRISPR-Cas effector complex mediating massive target DNA destruction, Nucleic Acids Res., 45, 1983
  6. Liu, 2017, RNA and DNA targeting by a reconstituted thermus thermophilus type III-A CRISPR-Cas system, PLoS One, 12, e0170552, 10.1371/journal.pone.0170552 · DOI
  7. Kazlauskiene, 2017, A cyclic oligonucleotide signaling pathway in type III CRISPR-Cas systems, Science, 357, 605, 10.1126/science.aao0100 · DOI · Paper page
  8. Niewoehner, 2017, Type III CRISPR-Cas systems produce cyclic oligoadenylate second messengers, Nature, 548, 543, 10.1038/nature23467 · DOI · Paper page
  9. Foster, 2020, Regulation of the RNA and DNA nuclease activities required for pyrococcus furiosus type III-B CRISPR-Cas immunity, Nucleic Acids Res., 48, 4418, 10.1093/nar/gkaa176 · DOI
  10. Molina, 2019, Structure of Csx1-cOA4 complex reveals the basis of RNA decay in type III-B CRISPR-Cas, Nat. Commun., 10, 4302, 10.1038/s41467-019-12244-z · DOI
  11. Rouillon, 2018, Control of cyclic oligoadenylate synthesis in a type III CRISPR system, eLife, 7, e36734, 10.7554/eLife.36734 · DOI
  12. Jia, 2019, CRISPR-Cas III-A Csm6 CARF domain is a ring nuclease triggering stepwise cA4 cleavage with ApA>p formation terminating RNase activity, Mol. Cell, 75, 944, 10.1016/j.molcel.2019.06.014 · DOI
  13. McMahon, 2020, Structure and mechanism of a type III CRISPR defence DNA nuclease activated by cyclic oligoadenylate, Nat. Commun., 11, 500, 10.1038/s41467-019-14222-x · DOI
  14. Rostol, 2021, The Card1 nuclease provides defence during type-III CRISPR immunity, Nature, 590, 614, 10.1038/s41586-021-03206-x · DOI
  15. Zhu, 2021, The CRISPR ancillary effector Can2 is a dual-specificity nuclease potentiating type III CRISPR defence, Nucleic Acids Res., 49, 2777, 10.1093/nar/gkab073 · DOI
  16. Lau, 2020, Structure and mechanism of a cyclic trinucleotide-activated bacterial endonuclease mediating bacteriophage immunity, Mol. Cell, 77, 723, 10.1016/j.molcel.2019.12.010 · DOI
  17. Mayo-Muñoz, 2022, Type III CRISPR–Cas provides resistance against nucleus-forming jumbo phages via abortive infection, Mol. Cell, 82, 4471, 10.1016/j.molcel.2022.10.028 · DOI
  18. Rostol, 2019, Non-specific degradation of transcripts promotes plasmid clearance during type III-A CRISPR-Cas immunity, Nat. Microbiol., 4, 656, 10.1038/s41564-018-0353-x · DOI
  19. Santiago-Frangos, 2021, Intrinsic signal amplification by type III CRISPR-Cas systems provides a sequence-specific SARS-CoV-2 diagnostic, Cell Rep Med, 2, 100319, 10.1016/j.xcrm.2021.100319 · DOI
  20. Steens, 2021, SCOPE enables type III CRISPR-Cas diagnostics using flexible targeting and stringent CARF ribonuclease activation, Nat. Commun., 12, 5033, 10.1038/s41467-021-25337-5 · DOI
  21. Grüschow, 2021, Specificity and sensitivity of an RNA targeting type III CRISPR complex coupled with a NucC endonuclease effector, Nucleic Acids Res., 49, 13122, 10.1093/nar/gkab1190 · DOI
  22. Athukoralage, 2018, Ring nucleases deactivate type III CRISPR ribonucleases by degrading cyclic oligoadenylate, Nature, 562, 277, 10.1038/s41586-018-0557-5 · DOI
  23. Athukoralage, 2020, Tetramerisation of the CRISPR ring nuclease Crn3/Csx3 facilitates cyclic oligoadenylate cleavage, eLife, 9, e57627, 10.7554/eLife.57627 · DOI
  24. Athukoralage, 2020, An anti-CRISPR viral ring nuclease subverts type III CRISPR immunity, Nature, 577, 572, 10.1038/s41586-019-1909-5 · DOI
  25. Shmakov, 2018, Systematic prediction of genes functionally linked to CRISPR-Cas systems by gene neighborhood analysis, Proc. Natl. Acad. Sci. U.S.A., 115, E5307, 10.1073/pnas.1803440115 · DOI · Paper page
  26. Shah, 2019, Comprehensive search for accessory proteins encoded with archaeal and bacterial type III CRISPR-cas gene cassettes reveals 39 new cas gene families, RNA Biol, 16, 530, 10.1080/15476286.2018.1483685 · DOI
  27. Rouillon, 2023, Antiviral signalling by a cyclic nucleotide activated CRISPR protease, Nature, 614, 168, 10.1038/s41586-022-05571-7 · DOI · Paper page
  28. Chi, 2023, Antiviral type III CRISPR signalling via conjugation of ATP and SAM, Nature, 622, 826, 10.1038/s41586-023-06620-5 · DOI
  29. McDonald, 2019, CRISPR-Cas systems are present predominantly on mobile genetic elements in Vibrio species, Bmc Genomics (Electronic Resource), 20, 105, 10.1186/s12864-019-5439-1 · DOI
  30. Rouillon, 2019, Investigation of the cyclic oligoadenylate signalling pathway of type III CRISPR systems, Methods Enzymol., 616, 191, 10.1016/bs.mie.2018.10.020 · DOI
  31. Grüschow, 2019, Cyclic oligoadenylate signalling mediates mycobacterium tuberculosis CRISPR defence, Nucl. Acids Res., 47, 9259, 10.1093/nar/gkz676 · DOI
  32. Denisov, 2004, Directed self-assembly of monodisperse phospholipid bilayer nanodiscs with controlled size, J. Am. Chem. Soc., 126, 3477, 10.1021/ja0393574 · DOI
  33. Kapsalis, 2019, Allosteric activation of an ion channel triggered by modification of mechanosensitive nano-pockets, Nat. Commun., 10, 4619, 10.1038/s41467-019-12591-x · DOI
  34. Milov, 1981, Application of Eldor in electron-spin echo for paramagnetic center space distribution in solids, Fiz. Tverd Tela+, 23, 975
  35. Pannier, 2000, Dead-time free measurement of dipole-dipole interactions between electron spins, J. Magn. Reson., 142, 331, 10.1006/jmre.1999.1944 · DOI
  36. Kerry, 2014, Analysis of influenza A virus NS1 dimer interfaces in solution by pulse EPR distance measurements, J. Phys. Chem. B, 118, 10882, 10.1021/jp508386r · DOI
  37. Jeschke, 2009, Three-spin correlations in double electron-electron resonance, Phys. Chem. Chem. Phys., 11, 6580, 10.1039/b905724b · DOI
  38. Ackermann, 2017, Sparse labeling PELDOR spectroscopy on multimeric mechanosensitive membrane channels, Biophys. J., 113, 1968, 10.1016/j.bpj.2017.09.005 · DOI
  39. Valera, 2016, Accurate extraction of nanometer distances in multimers by pulse EPR, Chem., 22, 4700, 10.1002/chem.201505143 · DOI
  40. Tait, 2016, Coherent pump pulses in double electron electron resonance spectroscopy, Phys. Chem. Chem. Phys., 18, 18470, 10.1039/C6CP03555H · DOI
  41. Jeschke, 2006, DeerAnalysis2006 - a comprehensive software package for analyzing pulsed ELDOR data, Appl. Magn. Reson., 30, 473, 10.1007/BF03166213 · DOI
  42. von Hagens, 2013, Suppression of ghost distances in multiple-spin double electron-electron resonance, Phys. Chem. Chem. Phys., 15, 5854, 10.1039/c3cp44462g · DOI
  43. Edwards, 2018, Optimal Tikhonov regularization for DEER spectroscopy, J. Magn. Reson., 288, 58, 10.1016/j.jmr.2018.01.021 · DOI
  44. Chiang, 2005, The determination of pair distance distributions by pulsed ESR using Tikhonov regularization, J. Magn. Reson., 172, 279, 10.1016/j.jmr.2004.10.012 · DOI
  45. Worswick, 2018, Deep neural network processing of DEER data, Sci. Adv., 4, eaat5218, 10.1126/sciadv.aat5218 · DOI · Paper page
  46. Fabregas Ibanez, 2020, DeerLab: a comprehensive software package for analyzing dipolar electron paramagnetic resonance spectroscopy data, Magn. Reson. (Gott.), 1, 209, 10.5194/mr-1-209-2020 · DOI
  47. Schiemann, 2021, Benchmark test and guidelines for DEER/PELDOR experiments on nitroxide-labeled biomolecules, J. Am. Chem. Soc., 143, 17875, 10.1021/jacs.1c07371 · DOI
  48. Hagelueken, 2012, MtsslWizard: in Silico spin-labeling and generation of distance distributions in PyMOL, Appl. Magn. Reson., 42, 377, 10.1007/s00723-012-0314-0 · DOI
  49. Hagelueken, 2015, mtsslSuite: probing biomolecular conformation by spin-labeling studies, Methods Enzymol., 563, 595, 10.1016/bs.mie.2015.06.006 · DOI
  50. Jeschke, 2018, MMM: a toolbox for integrative structure modeling, Protein Sci., 27, 76, 10.1002/pro.3269 · DOI
  51. Vonrhein, 2011, Data processing and analysis with the autoPROC toolbox, Acta. Crystallogr. D Biol. Crystallogr., 67, 293, 10.1107/S0907444911007773 · DOI
  52. McCoy, 2007, Phaser crystallographic software, J. Appl. Crystallogr., 40, 658, 10.1107/S0021889807021206 · DOI · Paper page
  53. Winn, 2011, Overview of the CCP4 suite and current developments, Acta. Crystallogr. D Biol. Crystallogr., 67, 235, 10.1107/S0907444910045749 · DOI · Paper page
  54. Liebschner, 2019, Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix, Acta Crystallogr. D Struct. Biol., 75, 861, 10.1107/S2059798319011471 · DOI · Paper page
  55. Murshudov, 1997, Refinement of macromolecular structures by the maximum-likelihood method, Acta. Crystallogr. D Biol. Crystallogr., 53, 240, 10.1107/S0907444996012255 · DOI
  56. Emsley, 2010, Features and development of Coot, Acta. Crystallogr. D Biol. Crystallogr., 66, 486, 10.1107/S0907444910007493 · DOI · Paper page
  57. Long, 2017, AceDRG: a stereochemical description generator for ligands, Acta Crystallogr. D Struct. Biol., 73, 112, 10.1107/S2059798317000067 · DOI
  58. Chen, 2010, MolProbity: all-atom structure validation for macromolecular crystallography, Acta. Crystallogr. D Biol. Crystallogr., 66, 12, 10.1107/S0907444909042073 · DOI · Paper page
  59. Mirdita, 2022, ColabFold: making protein folding accessible to all, Nat. Methods, 19, 679, 10.1038/s41592-022-01488-1 · DOI · Paper page
  60. Paysan-Lafosse, 2023, InterPro in 2022, Nucleic Acids Res., 51, D418, 10.1093/nar/gkac993 · DOI
  61. Hallgren, 2022, DeepTMHMM predicts alpha and beta transmembrane proteins using deep neural networks, 10.1101/2022.04.08.487609 · DOI
  62. Smalakyte, 2020, Type III-A CRISPR-associated protein Csm6 degrades cyclic hexa-adenylate activator using both CARF and HEPN domains, Nucleic Acids Res., 48, 9204, 10.1093/nar/gkaa634 · DOI
  63. Makarova, 2020, Evolutionary and functional classification of the CARF domain superfamily, key sensors in prokaryotic antivirus defense, Nucleic Acids Res., 48, 8828, 10.1093/nar/gkaa635 · DOI
  64. Garcia-Doval, 2020, Activation and self-inactivation mechanisms of the cyclic oligoadenylate-dependent CRISPR ribonuclease Csm6, Nat. Commun., 11, 1596, 10.1038/s41467-020-15334-5 · DOI
  65. McQuarrie, 2023, Activation of Csm6 ribonuclease by cyclic nucleotide binding: in an emergency, twist to open, Nucleic Acids Res., 51, 10590, 10.1093/nar/gkad739 · DOI
  66. Athukoralage, 2020, Tetramerisation of the CRISPR ring nuclease Crn3/Csx3 facilitates cyclic oligoadenylate cleavage, eLife, 9, e57627, 10.7554/eLife.57627 · DOI
  67. Athukoralage, 2019, A type III CRISPR ancillary ribonuclease degrades its cyclic oligoadenylate activator, J. Mol. Biol., 431, 2894, 10.1016/j.jmb.2019.04.041 · DOI
  68. Holm, 2020, DALI and the persistence of protein shape, Protein Sci., 29, 128, 10.1002/pro.3749 · DOI
  69. Ren, 2014, Structural and biochemical insights into the homotypic PB1-PB1 complex between PKCzeta and p62, Sci. China. Life Sci., 57, 69, 10.1007/s11427-013-4592-z · DOI
  70. Sumimoto, 2007, Structure and function of the PB1 domain, a protein interaction module conserved in animals, fungi, amoebas, and plants, Sci. STKE, 2007, re6, 10.1126/stke.4012007re6 · DOI
  71. Vitali, 2024, Spectroscopically orthogonal labelling to disentangle site-specific nitroxide label distributions, Appl. Magn. Reson., 55, 187, 10.1007/s00723-023-01611-1 · DOI
  72. Lobocka, 2004, Genome of bacteriophage P1, J. Bacteriol., 186, 7032, 10.1128/JB.186.21.7032-7068.2004 · DOI
  73. VanderWal, 2023, Csx28 is a membrane pore that enhances CRISPR-Cas13b-dependent antiphage defense, Science, 380, 410, 10.1126/science.abm1184 · DOI · Paper page
  74. Baca, 2024, The CRISPR effector Cam1 mediates membrane depolarization for phage defence, Nature, 625, 797, 10.1038/s41586-023-06902-y · DOI
  75. Zeng, 2022, A short prokaryotic Argonaute activates membrane effector to confer antiviral defense, Cell Host Microbe, 30, 930, 10.1016/j.chom.2022.04.015 · DOI
  76. Millman, 2020, Diversity and classification of cyclic-oligonucleotide-based anti-phage signalling systems, Nat. Microbiol., 5, 1608, 10.1038/s41564-020-0777-y · DOI
  77. Tal, 2021, Cyclic CMP and cyclic UMP mediate bacterial immunity against phages, Cell, 184, 5728, 10.1016/j.cell.2021.09.031 · DOI
  78. Duncan-Lowey, 2021, Effector-mediated membrane disruption controls cell death in CBASS antiphage defense, Mol. Cell, 81, 5039, 10.1016/j.molcel.2021.10.020 · DOI
  79. Athukoralage, 2021, Cyclic oligoadenylate signalling and regulation by ring nucleases during type III CRISPR defence, RNA, 27, 855, 10.1261/rna.078739.121 · DOI

Metadata

Authors
Grüschow, S., McQuarrie, S., Ackermann, K., McMahon, S., Bode, B. E., Gloster, T. M., & White, M. F.
Affiliations
University of St Andrews (GB)
Corresponding author
  • Gloster, Tracey M
  • White, Malcolm F
Venue
Nucleic Acids Research
Published
2024-03-13
Volume
52
Issue
6
Pages
2761-2775
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W4392722047
Cited by
25
References
1
Citations by year
2026: 10 · 2025: 11 · 2024: 4
FWCI
3.40
Type
journal article
Language
en
Open access
Locations
  • Nucleic Acids Research (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • St Andrews Research Repository (St Andrews Research Repository) (submittedVersion, cc-by)
Funders
  • Biotechnology and Biological Sciences Research Council (BB/T004789/1)
  • European Research Council Advanced (101018608)
  • Engineering and Physical Sciences Research Council (EP/X016455/1)
  • BBSRC (BB/R013780/1)
  • University of St Andrews
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
membrane proteins, Vibrio cholerae, transmembrane domain, protein structure, pulsed EPR, prokaryotic adaptive immunity
MeSH terms
Adenine Nucleotides, Bacterial Proteins, Membrane Proteins, Nucleotides, Cyclic, Vibrio cholerae, Second Messenger Systems, CRISPR-Cas Systems, CRISPR-Associated Proteins

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