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Widespread selection for extremely high and low levels of secondary structure in coding sequences across all domains of life
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- Daniel Gebert
- Institute of Organismic and Molecular Evolution iOME, Anthropology, Johannes Gutenberg University Mainz, Anselm-Franz-von-Bentzel-Weg 7, 55099 Mainz, Germany
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- Julia Jehn
- Institute of Organismic and Molecular Evolution iOME, Anthropology, Johannes Gutenberg University Mainz, Anselm-Franz-von-Bentzel-Weg 7, 55099 Mainz, Germany
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- David Rosenkranz
- Institute of Organismic and Molecular Evolution iOME, Anthropology, Johannes Gutenberg University Mainz, Anselm-Franz-von-Bentzel-Weg 7, 55099 Mainz, Germany
Description
<jats:p>Codon composition, GC content and local RNA secondary structures can have a profound effect on gene expression, and mutations affecting these parameters, even though they do not alter the protein sequence, are not neutral in terms of selection. Although evidence exists that, in some cases, selection favours more stable RNA secondary structures, we currently lack a concrete idea of how many genes are affected within a species, and whether this is a universal phenomenon in nature. We searched for signs of structural selection in a global manner, analysing a set of 1 million coding sequences from 73 species representing all domains of life, as well as viruses, by means of our newly developed software PACKEIS. We show that codon composition and amino acid identity are main determinants of RNA secondary structure. In addition, we show that the arrangement of synonymous codons within coding sequences is non-random, yielding extremely high, but also extremely low, RNA structuredness significantly more often than expected by chance. Taken together, we demonstrate that selection for high and low levels of secondary structure is a widespread phenomenon. Our results provide another line of evidence that synonymous mutations are less neutral than commonly thought, which is of importance for many evolutionary models.</jats:p>
Journal
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- Open Biology
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Open Biology 9 (5), 190020-, 2019-05
The Royal Society
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Details 詳細情報について
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- CRID
- 1361418519783760896
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- ISSN
- 20462441
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- Data Source
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- Crossref