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Sequences that direct significant levels of frameshifting are frequent in coding regions of Escherichia coli.

The EMBO journal | 2003

It is generally believed that significant ribosomal frameshifting during translation does not occur without a functional purpose. The distribution of two frameshift-prone sequences, A_AAA_AAG and CCC_TGA, in coding regions of Escherichia coli has been analyzed. Although a moderate level of selection against the first sequence is evident, 68 genes contain A_AAA_AAG and 19 contain CCC_TGA. The majority of those tested in their genomic context showed >1% frameshifting. Comparative sequence analysis was employed to assess a potential biological role for frameshifting in decoding these genes. Two new candidates, in pheL and ydaY, for utilized frameshifting have been identified in addition to those previously known in dnaX and nine insertion sequence elements. For the majority of the shift-prone sequences no functional role can be attributed to them, and the frameshifting is likely erroneous. However, none of frameshift sequences is in the 306 most highly expressed genes. The unexpected conclusion is that moderate frameshifting during expression of at least some other genes is not sufficiently harmful for cells to trigger strong negative evolutionary pressure.

Pubmed ID: 14592990 RIS Download

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Associated grants

  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM048152
  • Agency: NIGMS NIH HHS, United States
    Id: GM48152

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BioJava Project (tool)

RRID:SCR_007180

Project dedicated to providing Java framework for processing biological data. It provides analytical and statistical routines, parsers for common file formats and allows the manipulation of sequences and 3D structures. The goal of the biojava project is to facilitate rapid application development for bioinformatics. Sponsor: BioJava is not formally funded by any grants. Through the OBF they have received sponsorship from Sun Microsystems, Apple Computers and NESCent. The initial development of the phylogenetics module was undertaken as a Google Summer of Code 2007 project in collaboration with NESCent.

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