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Repression of IS200 transposase synthesis by RNA secondary structures.

ABSTRACT: The IS 200 transposase, a 16 kDa polypeptide encoded by the single open reading frame (ORF) of the insertion element, has been identified using an expression system based on T7 RNA polymerase. In wild-type IS 200, two sets of internal inverted repeats that generate RNA secondary structures provide two independent mechanisms for repression of transposase synthesis. The inverted repeat located near the left end of IS 200 is a transcriptional terminator that terminates read-through transcripts before they reach the IS 200 ORF. The terminator is functional in both directions and may terminate >80% of transcripts. Another control operates at the translational level: transposase synthesis is inhibited by occlusion of the ribosome-binding site (RBS) of the IS 200 ORF. The RBS (5'-AGGGG-3') is occluded by formation of a mRNA stem-loop structure whose 3' end is located only 3 nt upstream of the start codon. This mechanism reduces transposase synthesis approximately 10-fold. Primer extension experiments with AMV reverse transcriptase have provided evidence that this stem-loop RNA structure is actually formed. Tight repression of transposase synthesis, achieved through synergistic mechanisms of negative control, may explain the unusually low transposition frequency of IS 200.

SUBMITTER: Beuzon CR

PROVIDER: S-EPMC148624 | biostudies-other | 1999 Sep

REPOSITORIES: biostudies-other

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Repression of IS200 transposase synthesis by RNA secondary structures.

Beuzón C R CR Marqués S S Casadesús J J

Nucleic acids research 19990901 18

The IS 200 transposase, a 16 kDa polypeptide encoded by the single open reading frame (ORF) of the insertion element, has been identified using an expression system based on T7 RNA polymerase. In wild-type IS 200, two sets of internal inverted repeats that generate RNA secondary structures provide two independent mechanisms for repression of transposase synthesis. The inverted repeat located near the left end of IS 200 is a transcriptional terminator that terminates read-through transcripts befo ...[more]

PMID: 10471738

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Project description:BackgroundAccurate structure prediction methods play an important role for the understanding of RNA function. Energy-based, pseudoknot-free secondary structure prediction is one of the most widely used and versatile approaches, and improved methods for this task have received much attention over the past five years. Despite the impressive progress that as been achieved in this area, existing evaluations of the prediction accuracy achieved by various algorithms do not provide a comprehensive, statistically sound assessment. Furthermore, while there is increasing evidence that no prediction algorithm consistently outperforms all others, no work has been done to exploit the complementary strengths of multiple approaches.ResultsIn this work, we present two contributions to the area of RNA secondary structure prediction. Firstly, we use state-of-the-art, resampling-based statistical methods together with a previously published and increasingly widely used dataset of high-quality RNA structures to conduct a comprehensive evaluation of existing RNA secondary structure prediction procedures. The results from this evaluation clarify the performance relationship between ten well-known existing energy-based pseudoknot-free RNA secondary structure prediction methods and clearly demonstrate the progress that has been achieved in recent years. Secondly, we introduce AveRNA, a generic and powerful method for combining a set of existing secondary structure prediction procedures into an ensemble-based method that achieves significantly higher prediction accuracies than obtained from any of its component procedures.ConclusionsOur new, ensemble-based method, AveRNA, improves the state of the art for energy-based, pseudoknot-free RNA secondary structure prediction by exploiting the complementary strengths of multiple existing prediction procedures, as demonstrated using a state-of-the-art statistical resampling approach. In addition, AveRNA allows an intuitive and effective control of the trade-off between false negative and false positive base pair predictions. Finally, AveRNA can make use of arbitrary sets of secondary structure prediction procedures and can therefore be used to leverage improvements in prediction accuracy offered by algorithms and energy models developed in the future. Our data, MATLAB software and a web-based version of AveRNA are publicly available at http://www.cs.ubc.ca/labs/beta/Software/AveRNA.

Dataset Information

Repression of IS200 transposase synthesis by RNA secondary structures.

Publications

Repression of IS200 transposase synthesis by RNA secondary structures.

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