Summary information and primary citation

PDB-id
4ato; SNAP-derived features in text and JSON formats; DNAproDB
Class
toxin-antitoxin
Method
X-ray (2.2 Å)
Summary
New insights into the mechanism of bacterial type iii toxin-antitoxin systems: selective toxin inhibition by a non-coding RNA pseudoknot
Reference
Short FL, Pei XY, Blower TR, Ong SL, Fineran PC, Luisi BF, Salmond GPC (2013): "Selectivity and Self-Assembly in the Control of a Bacterial Toxin by an Antitoxic Noncoding RNA Pseudoknot." Proc.Natl.Acad.Sci.USA, 110, E241. doi: 10.1073/PNAS.1216039110.
Abstract
Bacterial small RNAs perform numerous regulatory roles, including acting as antitoxic components in toxin-antitoxin systems. In type III toxin-antitoxin systems, small processed RNAs directly antagonize their toxin protein partners, and in the systems characterized the toxin and antitoxin components together form a trimeric assembly. In the present study, we sought to define how the RNA antitoxin, ToxI, inhibits its potentially lethal protein partner, ToxN. We show through cross-inhibition experiments with the ToxIN systems from Pectobacterium atrosepticum (ToxIN(Pa)) and Bacillus thuringiensis (ToxIN(Bt)) that ToxI RNAs are highly selective enzyme inhibitors. Both systems have an "addictive" plasmid maintenance phenotype. We demonstrate that ToxI(Pa) can inhibit ToxN(Pa) in vitro both in its processed form and as a repetitive precursor RNA, and this inhibition is linked to the self-assembly of the trimeric complex. Inhibition and self-assembly are both mediated entirely by the ToxI(Pa) RNA, with no requirement for cellular factors or exogenous energy. Finally, we explain the origins of ToxI antitoxin selectivity through our crystal structure of the ToxIN(Bt) complex. Our results show how a processed RNA pseudoknot can inhibit a deleterious protein with exquisite molecular specificity and how these self-contained and addictive RNA-protein pairs can confer different adaptive benefits in their bacterial hosts.

Cartoon-block schematics in six views (download the tarball)

PyMOL session file Download PDB file View in 3Dmol.js