PreprintCited by 3Antimicrobial Peptides and ActivitiesBacterial Genetics and BiotechnologyAdvanced Electron Microscopy Techniques and Applications

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Structural Insights into Cir-mediated Killing by the Antimicrobial Protein Microcin V

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Preprint — published as 10.1038/s42003-025-08846-7 · Paper page

Abstract

Drug-resistant bacterial infections have become a high-priority concern in the global healthcare landscape. Novel treatments for such infections are needed, but can be especially difficult to develop for Gram-negative species owing to the need to traverse the outer membrane to reach targets beneath. A promising solution is found in natural antibiotics such as albomycin, which can bind outer membrane siderophore receptors and co-opt them for import into the periplasm. Exploring this and similar mechanisms may open avenues for antibiotic development. An underappreciated class of natural antibiotics are the microcins, which are small antimicrobial proteins secreted by certain bacterial species as a means of inter-species competition. Once secreted, the microcins bind specific outer-membrane receptors of prey species and cross into the periplasm. Microcins have potent activity, bind specific targets, and have been shown to control pathobiont expansion and pathogen colonization in animal models. One such microcin, MccV, has previously been shown to utilize the E. coli colicin Ia receptor, Cir, for periplasmic import. Here, we report the first high-resolution structure of the Cir/MccV complex by Cryo-EM, revealing an interaction centered on an electropositive cavity within a usually occluded binding pocket in Cir. We also report the calculated affinity of MccV for Cir. We mutagenized putative interacting residues at this interface and identified key contacts that are critical to MccV binding and Cir-mediated import and bacteriolysis. Future efforts in this project will help us better understand the mechanisms of microcin killing, and will assess relationships between other microcins and their respective importers with the aim of understanding the potential for microcins to be used as treatment for drug-resistant pathogens.

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  1. 10.1016/s0140-6736(21)02724-0 · DOI · Paper page
  2. 10.1080/1040841x.2024.2313024 · DOI
  3. 10.1038/s41579-024-01054-w · DOI
  4. 10.1128/microbiolspec.arba-0026-2017 · DOI
  5. 10.1021/acsinfecdis.9b00201 · DOI
  6. 10.1128/MMBR.67.4.593-656.2003 · DOI · Paper page
  7. 10.1016/j.bbapap.2008.11.005 · DOI
  8. 10.1007/s00228-015-1865-4 · DOI
  9. 10.1146/annurev-micro-032421-111116 · DOI
  10. 10.3389/fmicb.2022.852955 · DOI
  11. 10.1007/s10534-008-9199-7 · DOI
  12. 10.1097/qco.0000000000000880 · DOI
  13. 10.1128/AAC.01695-15 · DOI
  14. 10.3390/molecules24183314 · DOI
  15. 10.3389/fmicb.2019.02261 · DOI
  16. 10.1039/b516237h · DOI
  17. 10.1016/S0300-9084(02)01427-X · DOI
  18. 10.1128/aem.00371-19 · DOI
  19. 10.1046/j.1365-2958.2003.03610.x · DOI
  20. 10.1128/jb.148.2.498-507.1981 · DOI
  21. 10.1099/mic.0.001175 · DOI
  22. 10.1074/jbc.M400228200 · DOI
  23. 10.1128/AAC.00744-09 · DOI · Paper page
  24. 10.3389/fimmu.2022.811378 · DOI
  25. 10.1128/AAC.48.2.505-513.2004 · DOI
  26. 10.1111/j.1574-6968.2010.02106.x · DOI
  27. 10.1021/bi00188a021 · DOI
  28. 10.1128/jb.169.6.2466-2470.1987 · DOI
  29. 10.1093/genetics/141.1.25 · DOI
  30. 10.1099/13500872-140-9-2383 · DOI
  31. 10.1111/j.1574-6968.1988.tb02591.x · DOI
  32. 10.1038/sj.emboj.7601693 · DOI
  33. 10.1111/j.1365-2958.2009.06966.x · DOI
  34. 10.1128/JB.187.6.1945-1950.2005 · DOI
  35. 10.1128/JB.158.2.757-759.1984 · DOI
  36. 10.1128/AAC.01606-06 · DOI
  37. 10.1021/bi201862v · DOI
  38. 10.1146/annurev.micro.112408.134247 · DOI · Paper page
  39. 10.1016/S0022-2836(03)00855-6 · DOI
  40. 10.1093/bioinformatics/btad629 · DOI · Paper page
  41. 10.1073/pnas.96.19.10673 · DOI
  42. 10.1111/j.1574-6968.1984.tb01046.x · DOI
  43. 10.1016/j.jmb.2019.05.050 · DOI
  44. 10.2174/138955711796575498 · DOI
  45. 10.1128/AAC.29.3.456 · DOI
  46. 10.1002/j.1460-2075.1990.tb07606.x · DOI
  47. 10.1126/science.282.5397.2215 · DOI · Paper page
  48. 10.1016/S0092-8674(00)81700-6 · DOI · Paper page
  49. 10.1128/jb.171.2.1048-1054.1989 · DOI
  50. 10.1111/j.1574-6968.1990.tb13826.x · DOI
  51. 10.1007/s40265-019-1055-2 · DOI · Paper page
  52. 10.1093/cid/ciz826 · DOI
  53. 10.3390/antibiotics12121729 · DOI
  54. 10.1128/AAC.01525-09 · DOI
  55. 10.1021/ml200012f · DOI
  56. 10.1046/j.1365-2958.1998.00710.x · DOI · Paper page
  57. 10.1128/AEM.65.4.1610-1618.1999 · DOI
  58. 10.1016/j.vetmic.2015.01.020 · DOI
  59. 10.1111/mmi.13834 · DOI
  60. 10.1128/IAI.00470-13 · DOI
  61. 10.1038/ncomms8996 · DOI · Paper page
  62. 10.1101/2024.06.04.597491 · DOI
  63. 10.1002/pro.4582 · DOI
  64. 10.1038/385461a0 · DOI
  65. 10.1128/JB.182.19.5359-5364.2000 · DOI
  66. 10.1007/978-1-4939-6887-9_14 · DOI
  67. 10.1007/s00249-021-01513-9 · DOI
  68. 10.1016/j.pep.2007.04.013 · DOI
  69. 10.1038/s41592-019-0396-9 · DOI
  70. 10.1038/nmeth.4169 · DOI · Paper page
  71. 10.1107/S0907444909052925 · DOI · Paper page
  72. 10.1107/S0907444904019158 · DOI · Paper page
  73. 10.1038/s42003-021-02399-1 · DOI
  74. 10.1107/s2059798318002425 · DOI
  75. 10.1016/S0006-3495(00)76713-0 · DOI
  76. 10.1016/S0091-679X(07)84006-4 · DOI
  77. 10.1107/S0021889897003348 · DOI
  78. 10.1016/bs.mie.2015.05.001 · DOI

Metadata

Authors
Maurakis, S. A., O’Donnell, A. C., Botos, I., Ghirlando, R., Davies, B. W., & Buchanan, S. K.
Affiliations
  • National Institutes of Health (US)
  • The University of Texas at Austin (US)
Corresponding author
  • Davies, Bryan W.
  • Buchanan, Susan K.
Venue
Communications Biology
Publisher
openRxiv
Published
2025-03-10
Volume
8
Issue
1
Pages
1449-1449
ISSN
2399-3642 (ISSN-L)
OpenAlex
W4414983066
Cited by
3
References
1
Citations by year
2026: 3
FWCI
1.64
Type
journal article
Language
en
Open access
Locations
  • Communications Biology (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • U.S. Department of Health and Human Services (ZIA DK011011-19 LMB)
  • National Institutes of Health (1r56ai179799-01, 5r01dk011011-31)
  • National Heart, Lung, and Blood Institute
  • National Institute of Allergy and Infectious Diseases (R56 AI179799, R01AI182365)
  • National Institute of Diabetes and Digestive and Kidney Diseases (ZIA DK011011-19 LMB, ZIADK011011)
  • Army Research Office (W911NF2010195)
Topics
  • Life Sciences › Immunology and Microbiology › Microbiology › Antimicrobial Peptides and Activities
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Advanced Electron Microscopy Techniques and Applications
Keywords
outer membrane receptor, natural antibiotics, bacterial lysis, binding affinity, Escherichia coli, Gram-negative bacteria, antibacterial drug development, drug-resistant bacteria

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