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Contributions of Speed and Accuracy to Translational Selection in Bacteria

Overview of attention for article published in PLOS ONE, December 2012
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Title
Contributions of Speed and Accuracy to Translational Selection in Bacteria
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0051652
Pubmed ID
Authors

Wenqi Ran, Paul G. Higgs

Abstract

Among bacteria, we have previously shown that species that are capable of rapid growth have stronger selection on codon usage than slow growing species, and possess higher numbers of rRNA and tRNA genes. This suggests that fast-growers are adapted for fast protein synthesis. There is also considerable evidence that codon usage is influenced by accuracy of translation, and some authors have argued that accuracy is more important than speed. Here we compare the strength of the two effects by studying the codon usages in high and low expression genes and on conserved and variable sites within high expression genes. We introduce a simple statistical method that can be used to assess the significance and the strength of the two types of bias in the same sets of sequences. We compare our statistical measure of codon bias to the common used codon adaptation index, and show that the new measure is preferable for three reasons for the purposes of this analysis. Across a large sample of bacterial genomes, both effects from speed and accuracy are clearly visible, although the speed effect appears to be much stronger than the accuracy effect and is found to be significant in a larger proportion of genomes. It is also difficult to explain the correlation of codon bias in the high expression genes with growth rates and numbers of copies of tRNA and rRNA genes on the basis of selection for accuracy. Hence we conclude that selection for translational speed is a dominant effect in driving codon usage bias in fast-growing bacteria, with selection for accuracy playing a small supplementary role.

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The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 50 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Researcher 11 22%
Student > Master 6 12%
Student > Bachelor 5 10%
Student > Postgraduate 4 8%
Other 7 14%
Unknown 5 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 55%
Biochemistry, Genetics and Molecular Biology 9 18%
Environmental Science 2 4%
Computer Science 1 2%
Immunology and Microbiology 1 2%
Other 2 4%
Unknown 8 16%