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      Mechanistic insights into type I toxin antitoxin systems in Helicobacter pylori: the importance of mRNA folding in controlling toxin expression

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          Abstract

          Type I toxin-antitoxin (TA) systems have been identified in a wide range of bacterial genomes. Here, we report the characterization of a new type I TA system present on the chromosome of the major human gastric pathogen, Helicobacter pylori. We show that the aapA1 gene encodes a 30 amino acid peptide whose artificial expression in H. pylori induces cell death. The synthesis of this toxin is prevented by the transcription of an antitoxin RNA, named IsoA1, expressed on the opposite strand of the toxin gene. We further reveal additional layers of post-transcriptional regulation that control toxin expression: (i) transcription of the aapA1 gene generates a full-length transcript whose folding impedes translation (ii) a 3΄ end processing of this message generates a shorter transcript that, after a structural rearrangement, becomes translatable (iii) but this rearrangement also leads to the formation of two stem-loop structures allowing formation of an extended duplex with IsoA1 via kissing-loop interactions. This interaction ensures both the translation inhibition of the AapA1 active message and its rapid degradation by RNase III, thus preventing toxin synthesis under normal growth conditions. Finally, a search for homologous mRNA structures identifies similar TA systems in a large number of Helicobacter and Campylobacter genomes.

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          Most cited references33

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          RNAstructure: software for RNA secondary structure prediction and analysis

          Background To understand an RNA sequence's mechanism of action, the structure must be known. Furthermore, target RNA structure is an important consideration in the design of small interfering RNAs and antisense DNA oligonucleotides. RNA secondary structure prediction, using thermodynamics, can be used to develop hypotheses about the structure of an RNA sequence. Results RNAstructure is a software package for RNA secondary structure prediction and analysis. It uses thermodynamics and utilizes the most recent set of nearest neighbor parameters from the Turner group. It includes methods for secondary structure prediction (using several algorithms), prediction of base pair probabilities, bimolecular structure prediction, and prediction of a structure common to two sequences. This contribution describes new extensions to the package, including a library of C++ classes for incorporation into other programs, a user-friendly graphical user interface written in JAVA, and new Unix-style text interfaces. The original graphical user interface for Microsoft Windows is still maintained. Conclusion The extensions to RNAstructure serve to make RNA secondary structure prediction user-friendly. The package is available for download from the Mathews lab homepage at http://rna.urmc.rochester.edu/RNAstructure.html.
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            Bacterial persistence and toxin-antitoxin loci.

            Bacterial persistence is caused by the presence of rare, slowly growing bacteria among populations of rapidly growing cells. The slowly growing bacteria are tolerant of antibiotics and other environmental insults, whereas their isogenic, rapidly growing siblings are sensitive. Recent research has shown that persistence of the model organism Escherichia coli depends on toxin-antitoxin (TA) loci. Deletion of type II TA loci reduces the level of persistence significantly. Lon protease but no other known ATP-dependent proteases is required for persistence. Polyphosphate and (p)ppGpp also are required for persistence. These observations led to the proposal of a simple and testable model that explains the persistence of E. coli. It is now important to challenge this model and to test whether the persistence of pathogenic bacteria also depends on TA loci.
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              Abundance of type I toxin–antitoxin systems in bacteria: searches for new candidates and discovery of novel families

              Small, hydrophobic proteins whose synthesis is repressed by small RNAs (sRNAs), denoted type I toxin–antitoxin modules, were first discovered on plasmids where they regulate plasmid stability, but were subsequently found on a few bacterial chromosomes. We used exhaustive PSI-BLAST and TBLASTN searches across 774 bacterial genomes to identify homologs of known type I toxins. These searches substantially expanded the collection of predicted type I toxins, revealed homology of the Ldr and Fst toxins, and suggested that type I toxin–antitoxin loci are not spread by horizontal gene transfer. To discover novel type I toxin–antitoxin systems, we developed a set of search parameters based on characteristics of known loci including the presence of tandem repeats and clusters of charged and bulky amino acids at the C-termini of short proteins containing predicted transmembrane regions. We detected sRNAs for three predicted toxins from enterohemorrhagic Escherichia coli and Bacillus subtilis, and showed that two of the respective proteins indeed are toxic when overexpressed. We also demonstrated that the local free-energy minima of RNA folding can be used to detect the positions of the sRNA genes. Our results suggest that type I toxin–antitoxin modules are much more widely distributed among bacteria than previously appreciated.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                05 May 2017
                11 January 2017
                11 January 2017
                : 45
                : 8
                : 4782-4795
                Affiliations
                INSERM U1212, CNRS UMR5320, Univ. Bordeaux, ARNA Laboratory, 146 rue Léo Saignat, F-33076 Bordeaux, France
                Author notes
                [* ]To whom correspondence should be addressed. Tel: +33 557574565; Email: fabien.darfeuille@ 123456inserm.fr
                Article
                gkw1343
                10.1093/nar/gkw1343
                5416894
                28077560
                82104376-d1d1-40b1-a72d-4616076ed6a4
                © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 22 December 2016
                : 20 December 2016
                : 08 July 2016
                Page count
                Pages: 14
                Categories
                RNA

                Genetics
                Genetics

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