mBioMicrobiologyPeer-reviewed journal article
AcrIF11 is a potent CRISPR-specific ADP-ribosyltransferase encoded by phage and plasmid
Daphne CheniD, Leah T. RoeiD, Yuping LiiD, Adair L. BorgesiD, Jenny Y. ZhangiD, Palak BabbariD, Sourobh MajiiD, Maisie GV StevensiD, G. J. CorreyiD, Morgan E. DiolaitiiD, Dominique H. SmithiD, Alan AshworthiD, Robert Michael StroudiD, Mark J. S. KellyiD, Joseph Bondy‐DenomyiD, James S. FraseriD
Abstract
Phage-encoded anti-CRISPR (Acr) proteins inhibit CRISPR-Cas systems to allow phage replication and lysogeny maintenance. Most of the Acrs characterized to date are stable stoichiometric inhibitors. While enzymatic Acrs have been characterized biochemically, little is known about their potency, specificity, and reversibility. Here, we examine AcrIF11, a widespread phage and plasmid-encoded ADP-ribosyltransferase (ART) that inhibits the Type I-F CRISPR-Cas system. We present an NMR structure of an AcrIF11 homolog that reveals chemical shift perturbations consistent with NAD (cofactor) binding. In experiments that model both lytic phage replication and MGE/lysogen stability under high targeting pressure, AcrIF11 is a highly potent CRISPR-Cas inhibitor and more robust to Cas protein level fluctuations than stoichiometric inhibitors. Furthermore, we demonstrate that AcrIF11 is remarkably specific, predominantly ADP-ribosylating Csy1 when expressed in P. aeruginosa. Given the reversible nature of ADP-ribosylation, we hypothesized that ADPr eraser enzymes (macrodomains) could remove ADPr from Csy1, a potential limitation of PTM-based CRISPR inhibition. We demonstrate that diverse macrodomains can indeed remove the modification from Csy1 in P. aeruginosa lysate. Together, these experiments connect the in vitro observations of AcrIF11s enzymatic activity to its potent and specific effects in vivo, clarifying the advantages and drawbacks of enzymatic Acrs in the evolutionary arms race between phages and bacteria.
- organism: bacteria (other)
- assay: proteomics
- research focus: host-pathogen & immune response
- approach: biophysical modeling
- approach: experimental assay
- Citations
- 4
- FWCI
- 0.96
- Field percentile
- top 28%
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