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Cited by 52CRISPR and Genetic EngineeringEvolution and Genetic DynamicsBacteriophages and microbial interactions

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

The size of the immune repertoire of bacteria

Open access
Bradde, Serena, Nourmohammad, Armita, Goyal, Sidhartha, Balasubramanian, Vijay·2020·Proceedings of the National Academy of Sciences
DOI 10.1073/pnas.1903666117PMC PMC7071851

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Abstract

Significance: Some bacteria possess an adaptive immune system that maintains a memory of past viral infections in the CRISPR loci of their genomes. This memory is used to mount targeted responses against later threats but is remarkably shallow: it remembers only a few dozen to a few hundred viruses. We present a statistical theory of CRISPR-based immunity that quantitatively predicts the depth of bacterial immune memory in terms of a tradeoff with fundamental constraints of the cellular biochemical machinery.

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Research works printed but not linked: 53

  1. 10.1038/nrmicro2315 · DOI
  2. 10.1016/j.molcel.2014.03.011 · DOI · Paper page
  3. 10.1088/1478-3975/aab6d6 · DOI
  4. 10.1038/ncomms5399 · DOI
  5. 10.1089/crispr.2018.0034 · DOI
  6. 10.1371/journal.pcbi.1002475 · DOI
  7. 10.1016/j.biochi.2015.03.025 · DOI · Paper page
  8. 10.1371/journal.pcbi.1005891 · DOI
  9. 10.1186/1471-2105-8-172 · DOI · Paper page
  10. 10.1186/s12918-015-0248-x · DOI
  11. 10.1128/JB.01415-07 · DOI
  12. 10.3389/fmicb.2012.00251 · DOI
  13. 10.1093/nar/gks737 · DOI
  14. 10.1042/BST20130129 · DOI
  15. 10.1038/nrmicro1163 · DOI
  16. 10.1111/j.1558-5646.2012.01595.x · DOI
  17. 10.1371/journal.pgen.1001171 · DOI
  18. 10.1371/journal.pgen.1003312 · DOI
  19. 10.1128/JB.00412-13 · DOI
  20. 10.1103/PhysRevLett.105.128102 · DOI
  21. 10.1111/j.1365-2958.2012.08172.x · DOI
  22. 10.1038/ismej.2015.162 · DOI
  23. 10.1016/j.virol.2012.10.003 · DOI
  24. 10.1111/mmi.12640 · DOI
  25. 10.1073/pnas.1400071111 · DOI
  26. 10.1371/journal.pone.0035888 · DOI
  27. 10.1039/C4MB00438H · DOI
  28. 10.1016/j.molcel.2016.11.008 · DOI
  29. 10.1038/ncomms1937 · DOI · Paper page
  30. 10.1073/pnas.1602639113 · DOI
  31. P. F. Vale , Costs of CRISPR-Cas-mediated resistance in Streptococcus thermophilus. Proc. Biol. Sci. 282, 20151270 (2015).
  32. 10.1126/science.aah7084 · DOI
  33. 10.1126/science.aar4120 · DOI
  34. 10.1128/JB.01412-07 · DOI
  35. 10.1371/journal.pone.0004169 · DOI
  36. 10.1111/j.1462-2920.2012.02879.x · DOI
  37. 10.1038/nature17436 · DOI
  38. 10.1073/pnas.1421827112 · DOI
  39. 10.1073/pnas.1812810116 · DOI
  40. 10.1371/journal.pone.0164314 · DOI
  41. 10.1128/mBio.00262-15 · DOI
  42. 10.1038/nature17436 · DOI
  43. 10.1073/pnas.0813202106 · DOI
  44. 10.1371/journal.pgen.1003844 · DOI
  45. 10.1016/j.molcel.2016.11.012 · DOI
  46. 10.1128/mBio.00362-12 · DOI
  47. 10.1073/pnas.1617415113 · DOI
  48. 10.1073/pnas.1004290107 · DOI · Paper page
  49. 10.1038/s41467-018-04899-x · DOI
  50. 10.1016/j.cub.2015.01.065 · DOI
  51. 10.1073/pnas.1600663113 · DOI
  52. 10.1073/pnas.1802887115 · DOI
  53. 10.1371/journal.pgen.1006171 · DOI

Metadata

Authors
Bradde, S., Nourmohammad, A., Goyal, S., & Balasubramanian, V.
Affiliations
  • American Physical Society (US)
  • University of Washington (US)
  • University of Toronto (CA)
  • University of Pennsylvania (US)
Corresponding author
  • Bradde, Serena
  • Nourmohammad, Armita
  • Goyal, Sidhartha
  • Balasubramanian, Vijay
ORCID
Venue
Proceedings of the National Academy of Sciences
Publisher
National Academy of Sciences
Published
2020-02-18
Volume
117
Issue
10
Pages
5144-5151
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
DOI
10.1073/pnas.1903666117
PMC
PMC7071851
OpenAlex
W3007847401
Cited by
52
References
1
Citations by year
2026: 4 · 2025: 6 · 2024: 5 · 2023: 9 · 2022: 12 · 2021: 12 · 2020: 3
FWCI
2.92
Type
journal article
Language
en
Open access
Licence
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion, cc-by-nc-nd)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion)
  • arXiv (Cornell University)
  • Bulletin of the American Physical Society
Funders
  • Deutsche Forschungsgemeinschaft (SFB1310)
  • Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada (Discovery Grant)
  • Simons Foundation (400425)
  • National Science Foundation (PHY-1734030, 160761)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
  • Life Sciences › Immunology and Microbiology › Virology › Bacteriophages and microbial interactions
Keywords
CRISPR-Cas, adaptive immunity, immunological memory, archaea, antiviral defense, prokaryotic genomes
MeSH terms
Bacteria, Bacteriophages, Adaptive Immunity, CRISPR-Cas Systems

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