Evidence map›Paper›PMID 16204194›Full record

ArticleGenome research2005

Identification of programmed translational -1 frameshifting sites in the genome of Saccharomyces cerevisiae.

Michaël Bekaert, Hugues Richard, Bernard Prum, Jean-Pierre Rousset

RetractedAbstract readRetracted Publication
In one paragraph

Article in Genome research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Core gene set of the speciesbioRxiv : the preprint server for biology · 2025
    Article
  2. Article
  3. Article
  4. Control of gene expression by translational recoding.Advances in protein chemistry and structural biology · 2012
    Review
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Michaël BekaertInstitut de Génétique et Microbiologie CNRS UMR 8621, Université Paris-Sud, 91405 Orsay Cedex, France.
Hugues Richard
Bernard Prum
Jean-Pierre Rousset

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frameshifting is a recoding event that allows the expression of two polypeptides from the same mRNA molecule. Most recoding events described so far are used by viruses and transposons to express their replicase protein. The very few number of cellular proteins known to be expressed by a -1 ribosomal frameshifting has been identified by chance. The goal of the present work was to set up a systematic strategy, based on complementary bioinformatics, molecular biology, and functional approaches, without a priori knowledge of the mechanism involved. Two independent methods were devised. The first looks for genomic regions in which two ORFs, each carrying a protein pattern, are in a frameshifted arrangement. The second uses Hidden Markov Models and likelihood in a two-step approach. When this strategy was applied to the Saccharomyces cerevisiae genome, 189 candidate regions were found, of which 58 were further functionally investigated. Twenty-eight of them expressed a full-length mRNA covering the two ORFs, and 11 showed a -1 frameshift efficiency varying from 5% to 13% (50-fold higher than background), some of which corresponds to genes with known functions. From other ascomycetes, four frameshifted ORFs are found fully conserved. Strikingly, most of the candidates do not display a classical viral-like frameshift signal and would have escaped a search based on current models of frameshifting. These results strongly suggest that -1 frameshifting might be more widely distributed than previously thought.

Indexed as

Frameshift MutationGenome, FungalProtein BiosynthesisAscomycotaOpen Reading FramesSaccharomyces cerevisiae

Identifiers

PMID16204194
PMCPMC1240084

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.