Literature DB >> 20403966

The influence of anticodon-codon interactions and modified bases on codon usage bias in bacteria.

Wenqi Ran1, Paul G Higgs.   

Abstract

Most transfer RNAs (tRNAs) can translate more than one synonymous codon, and most codons can be translated by more than one isoacceptor tRNA. The rates of translation of synonymous codons are dependent on the concentrations of the tRNAs and on the rates of pairing of each anticodon-codon combination. Translational selection causes a significant bias in codon frequencies in highly expressed genes in most bacteria. By comparing codon frequencies in high and low-expression genes, we determine which codons are preferred for each amino acid in a large sample of bacterial genomes. We relate this to the number of copies of each tRNA gene in each genome. In two-codon families, preferred codons have Watson-Crick pairs (GC and AU) between the third codon base and the wobble base of the anticodon rather than GU pairs. This suggests that these combinations are more rapidly recognized by the ribosome. In contrast, in four-codon families, preferred codons do not correspond to Watson-Crick rules. In some cases, a wobble-U tRNA can pair with all four codons. In these cases, A and U codons are preferred over G and C. This indicates that the nonstandard UU combination appears to be translated surprisingly well. Differences in modified bases at the wobble position of the anticodon appear to be responsible for the differences in behavior of tRNAs in two- and four-codon families. We discuss the way changes in the bases in the anticodon influence both the speed and the accuracy of translation. The number of tRNA gene copies and the strength of translational selection correlate with the growth rate of the organism, as we would expect if the primary cause of translational selection in bacteria is the requirement to optimize the speed of protein production.

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Year:  2010        PMID: 20403966     DOI: 10.1093/molbev/msq102

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  44 in total

1.  Unassigned codons, nonsense suppression, and anticodon modifications in the evolution of the genetic code.

Authors:  Peter T S van der Gulik; Wouter D Hoff
Journal:  J Mol Evol       Date:  2011-11-11       Impact factor: 2.395

2.  Wobble base-pairing slows in vivo translation elongation in metazoans.

Authors:  Michael Stadler; Andrew Fire
Journal:  RNA       Date:  2011-11-01       Impact factor: 4.942

Review 3.  The Code of Silence: Widespread Associations Between Synonymous Codon Biases and Gene Function.

Authors:  Fran Supek
Journal:  J Mol Evol       Date:  2015-11-04       Impact factor: 2.395

4.  Selection on GGU and CGU codons in the high expression genes in bacteria.

Authors:  Siddhartha Sankar Satapathy; Bhesh Raj Powdel; Malay Dutta; Alak Kumar Buragohain; Suvendra Kumar Ray
Journal:  J Mol Evol       Date:  2013-11-23       Impact factor: 2.395

5.  Translationally optimal codons associate with aggregation-prone sites in proteins.

Authors:  Yaelim Lee; Tong Zhou; Gian Gaetano Tartaglia; Michele Vendruscolo; Claus O Wilke
Journal:  Proteomics       Date:  2010-12       Impact factor: 3.984

Review 6.  Pathways of Genetic Code Evolution in Ancient and Modern Organisms.

Authors:  Supratim Sengupta; Paul G Higgs
Journal:  J Mol Evol       Date:  2015-06-09       Impact factor: 2.395

7.  Cotranslational protein folding reveals the selective use of synonymous codons along the coding sequence of a low expression gene.

Authors:  Suvendra Kumar Ray; Vishwa Jyoti Baruah; Siddhartha Sankar Satapathy; Rajat Banerjee
Journal:  J Genet       Date:  2014-12       Impact factor: 1.166

8.  Transfer RNA gene numbers may not be completely responsible for the codon usage bias in asparagine, isoleucine, phenylalanine, and tyrosine in the high expression genes in bacteria.

Authors:  Siddhartha Sankar Satapathy; Malay Dutta; Alak Kumar Buragohain; Suvendra Kumar Ray
Journal:  J Mol Evol       Date:  2012-10-02       Impact factor: 2.395

9.  An alternative look at code evolution: using non-canonical codes to evaluate adaptive and historic models for the origin of the genetic code.

Authors:  David W Morgens; Andre R O Cavalcanti
Journal:  J Mol Evol       Date:  2013-01-24       Impact factor: 2.395

10.  The birth of a bacterial tRNA gene by large-scale, tandem duplication events.

Authors:  Gökçe B Ayan; Hye Jin Park; Jenna Gallie
Journal:  Elife       Date:  2020-10-30       Impact factor: 8.140

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