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Architecture of a complete Bce-type antimicrobial peptide resistance module

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  • Natasha L. George

    (Michigan State University
    Michigan State University)

  • Benjamin J. Orlando

    (Michigan State University)

Abstract

Gram-positive bacteria synthesize and secrete antimicrobial peptides that target the essential process of peptidoglycan synthesis. These antimicrobial peptides not only regulate the dynamics of microbial communities but are also of clinical importance as exemplified by peptides such as bacitracin, vancomycin, and daptomycin. Many gram-positive species have evolved specialized antimicrobial peptide sensing and resistance machinery known as Bce modules. These modules are membrane protein complexes formed by an unusual Bce-type ABC transporter interacting with a two-component system sensor histidine kinase. In this work, we provide the first structural insight into how the membrane protein components of these modules assemble into a functional complex. A cryo-EM structure of an entire Bce module revealed an unexpected mechanism of complex assembly, and extensive structural flexibility in the sensor histidine kinase. Structures of the complex in the presence of a non-hydrolysable ATP analog reveal how nucleotide binding primes the complex for subsequent activation. Accompanying biochemical data demonstrate how the individual membrane protein components of the complex exert functional control over one another to create a tightly regulated enzymatic system.

Suggested Citation

  • Natasha L. George & Benjamin J. Orlando, 2023. "Architecture of a complete Bce-type antimicrobial peptide resistance module," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39678-w
    DOI: 10.1038/s41467-023-39678-w
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    2. John Jumper & Richard Evans & Alexander Pritzel & Tim Green & Michael Figurnov & Olaf Ronneberger & Kathryn Tunyasuvunakool & Russ Bates & Augustin Žídek & Anna Potapenko & Alex Bridgland & Clemens Me, 2021. "Highly accurate protein structure prediction with AlphaFold," Nature, Nature, vol. 596(7873), pages 583-589, August.
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