Literature DB >> 3892014

Sense codons are found in specific contexts.

M Yarus, L S Folley.   

Abstract

The sequence environment of codons in structural genes has been investigated statistically, using computer methods. A set of Escherichia coli genes with abundant products was compared with a set having low gene product levels, in order to detect potential differences associated with expression. The results show striking non-randomness in the nucleotides occurring near codons. These effects are, unexpectedly, very much larger and more homogeneous among the genes with rare products. The intensity of effects in weakly expressed genes suggests that such non-random sequence environments decrease expression. In the weakly expressed set of genes, the 5' neighbor of a codon, and all positions of the 3' neighbor codon are biased. In the highly expressed genes, the first nucleotide of the next codon is a uniquely affected site. The distribution of non-randomness in weakly expressed genes suggests that sequence bias is primarily due to a constraint acting directly on the secondary or tertiary structure of the codon/anticodon. In highly expressed genes, the observed bias suggests an interaction between the codon/anticodon and a site outside the codon/anticodon. Much of the tendency to non-random near-neighbor sequences in weakly expressed genes can be ascribed to a correlation between nearby nucleotides and the wobble nucleotide of the codon, despite the fact that selection of such correlations will alter the amino acid sequence. The favored pattern, in genes expressed at low level, is R YYR or Y RRY. R indicates purine, Y indicates pyrimidine; the space is the boundary between codons. It seems likely that this preference for nearby sequences is the physical basis of the genetic context effect. Under this assumption such sequence biases will affect expression. On this basis, we predict new sites for contextual mutations which decrease expression, and suggest strategy for the design of messages having optimal translational activity.

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Year:  1985        PMID: 3892014     DOI: 10.1016/0022-2836(85)90239-6

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  53 in total

1.  Analysis of codon:anticodon interactions within the ribosome provides new insights into codon reading and the genetic code structure.

Authors:  V I Lim; J F Curran
Journal:  RNA       Date:  2001-07       Impact factor: 4.942

2.  Regularities of context-dependent codon bias in eukaryotic genes.

Authors:  Alexei Fedorov; Serge Saxonov; Walter Gilbert
Journal:  Nucleic Acids Res       Date:  2002-03-01       Impact factor: 16.971

3.  Gradients in nucleotide and codon usage along Escherichia coli genes.

Authors:  S D Hooper; O G Berg
Journal:  Nucleic Acids Res       Date:  2000-09-15       Impact factor: 16.971

Review 4.  Codon context.

Authors:  R H Buckingham
Journal:  Experientia       Date:  1990-12-01

5.  Avoidance of long mononucleotide repeats in codon pair usage.

Authors:  Tingting Gu; Shengjun Tan; Xiaoxi Gou; Hitoshi Araki; Dacheng Tian
Journal:  Genetics       Date:  2010-08-30       Impact factor: 4.562

6.  Nonrandom utilization of codon pairs in Escherichia coli.

Authors:  G A Gutman; G W Hatfield
Journal:  Proc Natl Acad Sci U S A       Date:  1989-05       Impact factor: 11.205

7.  Codon replacement in the PGK1 gene of Saccharomyces cerevisiae: experimental approach to study the role of biased codon usage in gene expression.

Authors:  A Hoekema; R A Kastelein; M Vasser; H A de Boer
Journal:  Mol Cell Biol       Date:  1987-08       Impact factor: 4.272

8.  Evidence for selective evolution in codon usage in conserved amino acid segments of human alphaherpesvirus proteins.

Authors:  G A Schachtel; P Bucher; E S Mocarski; B E Blaisdell; S Karlin
Journal:  J Mol Evol       Date:  1991-12       Impact factor: 2.395

9.  Unusual codon bias occurring within insertion sequences in Escherichia coli.

Authors:  J G Lawrence; D L Hartl
Journal:  Genetica       Date:  1991       Impact factor: 1.082

10.  Genetic analysis of the E site during RF2 programmed frameshifting.

Authors:  Christina L Sanders; James F Curran
Journal:  RNA       Date:  2007-07-27       Impact factor: 4.942

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