PreprintCited by 13Bacteriophages and microbial interactionsCRISPR and Genetic EngineeringBacterial Genetics and Biotechnology

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

An enterococcal phage protein broadly inhibits type IV restriction enzymes involved in antiphage defense

Open access

Preprint — published as 10.1038/s41467-024-51346-1 · Paper page

Abstract

The prevalence of multidrug resistant (MDR) bacterial infections continues to rise as the development of antibiotics needed to combat these infections remains stagnant. MDR enterococci are a major contributor to this crisis. A potential therapeutic approach for combating MDR enterococci is bacteriophage (phage) therapy, which uses lytic viruses to infect and kill pathogenic bacteria. While phages that lyse some strains of MDR enterococci have been identified, other strains display high levels of resistance and the mechanisms underlying this resistance are poorly defined. Here, we use a CRISPR interference (CRISPRi) screen to identify a genetic locus found on a mobilizable plasmid from Enterococcus faecalis involved in phage resistance. This locus encodes a putative serine recombinase followed by a Type IV restriction enzyme (TIV-RE) that we show restricts the replication of phage phi47 in E. faecalis . We further find that phi47 evolves to overcome restriction by acquiring a missense mutation in a TIV-RE inhibitor protein. We show that this inhibitor, termed type IV restriction inhibiting factor A ( tifA ), binds and inactivates diverse TIV-REs. Overall, our findings advance our understanding of phage defense in drug-resistant E. faecalis and provide mechanistic insight into how phages evolve to overcome antiphage defense systems.

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 · 10.1101/2023.11.16.567456

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: 83

  1. 10.1056/NEJM200012283432604 · DOI
  2. 10.1128/IAI.01197-12 · DOI · Paper page
  3. 10.1128/aac.02071-21 · DOI
  4. 10.1016/j.cell.2022.11.017 · DOI · Paper page
  5. 10.1016/j.chom.2019.01.014 · DOI
  6. 10.1128/AAC.45.3.649-659.2001 · DOI
  7. 10.1186/s13073-016-0294-z · DOI
  8. 10.3390/v10120688 · DOI
  9. 10.1057/s41599-020-0478-4 · DOI
  10. 10.1089/phage.2021.0007 · DOI
  11. 10.1016/j.cell.2017.10.045 · DOI
  12. 10.1038/s41586-019-1894-8 · DOI
  13. 10.1016/j.coi.2022.01.002 · DOI
  14. 10.1371/journal.pgen.1010694 · DOI
  15. 10.1128/JB.05535-11 · DOI
  16. 10.1126/science.aar4120 · DOI
  17. 10.1126/science.1159689 · DOI · Paper page
  18. 10.1007/s00239-004-0046-3 · DOI · Paper page
  19. 10.1016/j.mib.2005.06.003 · DOI
  20. 10.1038/s41564-020-0700-6 · DOI
  21. 10.15252/embj.201489455 · DOI
  22. 10.1128/jb.178.7.2044-2050.1996 · DOI
  23. 10.1073/pnas.0808832106 · DOI
  24. 10.1093/nar/gkt1419 · DOI
  25. 10.1038/s41586-019-1605-5 · DOI
  26. 10.1016/j.cell.2020.09.065 · DOI
  27. 10.1038/s41586-018-0767-x · DOI
  28. 10.1073/pnas.1919888117 · DOI
  29. 10.1128/mBio.01304-16 · DOI
  30. 10.1038/s41564-020-00830-7 · DOI
  31. 10.1111/mmi.13009 · DOI
  32. 10.1128/AAC.00143-21 · DOI
  33. 10.1038/nmicrobiol.2017.45 · DOI
  34. 10.1186/s12864-018-5324-3 · DOI
  35. 10.1093/nar/gkp699 · DOI
  36. 10.1371/journal.pgen.1003023 · DOI
  37. 10.1128/JB.00296-13 · DOI
  38. 10.1128/IAI.00085-19 · DOI
  39. 10.1128/mSphere.00310-19 · DOI
  40. 10.1073/pnas.1000139107 · DOI · Paper page
  41. 10.1146/annurev-genet-111212-133449 · DOI
  42. 10.1126/science.1080613 · DOI
  43. 10.1007/BF02198833 · DOI
  44. 10.1016/j.molcel.2018.01.003 · DOI
  45. 10.1371/journal.pbio.3001514 · DOI
  46. 10.1006/jmbi.1990.9999 · DOI · Paper page
  47. 10.3390/v15091795 · DOI
  48. 10.1146/annurev-virology-011620-040628 · DOI
  49. 10.1016/j.tim.2023.05.002 · DOI
  50. 10.1128/mBio.01101-20 · DOI
  51. 10.1186/s12859-015-0773-z · DOI
  52. 10.1093/nar/gkx924 · DOI
  53. 10.1016/j.jmb.2006.11.051 · DOI
  54. 10.1038/srep09747 · DOI
  55. 10.1093/nar/gkab906 · DOI
  56. 10.1002/bies.201000071 · DOI
  57. 10.1101/gr.GR-1531RR · DOI
  58. 10.1093/nar/gkab1061 · DOI · Paper page
  59. 10.1038/s41592-022-01488-1 · DOI · Paper page
  60. 10.1007/978-3-319-20098-9_4 · DOI
  61. 10.1093/nar/gks516 · DOI
  62. 10.1016/S1097-2765(02)00435-5 · DOI
  63. 10.1186/s12864-020-06910-6 · DOI
  64. 10.1093/nar/gkr098 · DOI
  65. 10.1038/s41564-017-0051-0 · DOI
  66. 10.1371/journal.ppat.1008310 · DOI
  67. 10.1128/AEM.68.1.187-193.2002 · DOI
  68. 10.1093/infdis/166.5.1188 · DOI
  69. 10.1128/microbiolspec.MDNA3-0045-2014 · DOI
  70. 10.1016/j.molcel.2022.09.008 · DOI · Paper page
  71. 10.1186/s12915-017-0415-1 · DOI
  72. 10.1016/j.chom.2022.09.017 · DOI · Paper page
  73. 10.1038/s41564-022-01153-5 · DOI
  74. 10.1128/JB.00592-09 · DOI
  75. 10.1128/AEM.68.12.5956-5964.2002 · DOI
  76. 10.1016/j.molcel.2013.07.025 · DOI
  77. 10.1016/j.plasmid.2005.03.004 · DOI
  78. 10.1371/journal.pone.0011147 · DOI · Paper page
  79. 10.1093/bioinformatics/btab007 · DOI
  80. 10.1002/pro.3235 · DOI · Paper page
  81. 10.1007/978-1-0716-0270-6_3 · DOI
  82. 10.1186/1471-2105-10-421 · DOI · Paper page
  83. 10.1093/bioinformatics/btac672 · DOI

Metadata

Authors
Bullen, N. P., Johnson, C. N., Andersen, S. E., Arya, G., Marotta, S. R., Lee, Y.-J., Weigele, P. R., Whitney, J. C., & Duerkop, B. A.
Affiliations
  • Michael G. DeGroote Institute for Infectious Disease Research (CA)
  • University of Colorado Anschutz (US)
  • New England Biolabs (United States) (US)
Corresponding author
  • Whitney, John C.
  • Duerkop, Breck A.
Venue
Nature Communications
Publisher
openRxiv
Published
2023-11-16
Volume
15
Issue
1
Pages
6955-6955
ISSN
2041-1723 (ISSN-L)
OpenAlex
W4401534108
Cited by
13
References
1
Citations by year
2026: 8 · 2025: 4 · 2024: 1
FWCI
3.57
Type
journal article
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • Nature Communications (publishedVersion, cc-by-nc-nd)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • PubMed Central (submittedVersion, cc-by-nc-nd)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • National Science Foundation
  • American Heart Association (24POST1183502)
  • Division of Intramural Research, National Institute of Allergy and Infectious Diseases (R01AI141479, T32 AI052066, F31AI157050)
  • National Institutes of Health
  • National Institute of Allergy and Infectious Diseases (F31AI157050, T32AI052066, R01AI141479)
Topics
  • Life Sciences › Immunology and Microbiology › Virology › Bacteriophages and microbial interactions
  • 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
Keywords
Enterococcus faecalis, TIFA, anti-phage defense, phage resistance, vancomycin resistance, multidrug resistance, phage therapy, CRISPR interference screen, serine recombinase, mobilizable plasmids, phage evolution, phage-host coevolution

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