Literature DB >> 10791023

RNA secondary structure and compensatory evolution.

Y Chen1, D B Carlini, J F Baines, J Parsch, J M Braverman, S Tanda, W Stephan.   

Abstract

The classic concept of epistatic fitness interactions between genes has been extended to study interactions within gene regions, especially between nucleotides that are important in maintaining pre-mRNA/mRNA secondary structures. It is shown that the majority of linkage disequilibria found within the Drosophila Adh gene are likely to be caused by epistatic selection operating on RNA secondary structures. A recently proposed method of RNA secondary structure prediction based on DNA sequence comparisons is reviewed and applied to several types of RNAs, including tRNA, rRNA, and mRNA. The patterns of covariation in these RNAs are analyzed based on Kimura's compensatory evolution model. The results suggest that this model describes the substitution process in the pairing regions (helices) of RNA secondary structures well when the helices are evolutionarily conserved and thermodynamically stable, but fails in some other cases. Epistatic selection maintaining pre-mRNA/mRNA secondary structures is compared to weak selective forces that determine features such as base composition and synonymous codon usage. The relationships among these forces and their relative strengths are addressed. Finally, our mutagenesis experiments using the Drosophila Adh locus are reviewed. These experiments analyze long-range compensatory interactions between the 5' and 3' ends of Adh mRNA, the different constraints on secondary structures in introns and exons, and the possible role of secondary structures in RNA splicing.

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Year:  1999        PMID: 10791023     DOI: 10.1266/ggs.74.271

Source DB:  PubMed          Journal:  Genes Genet Syst        ISSN: 1341-7568            Impact factor:   1.517


  34 in total

1.  Intragenic spatial patterns of codon usage bias in prokaryotic and eukaryotic genomes.

Authors:  Hong Qin; Wei Biao Wu; Josep M Comeron; Martin Kreitman; Wen-Hsiung Li
Journal:  Genetics       Date:  2004-12       Impact factor: 4.562

2.  The other side of the nearly neutral theory, evidence of slightly advantageous back-mutations.

Authors:  Jane Charlesworth; Adam Eyre-Walker
Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-16       Impact factor: 11.205

3.  RNA secondary structure prediction from sequence alignments using a network of k-nearest neighbor classifiers.

Authors:  Eckart Bindewald; Bruce A Shapiro
Journal:  RNA       Date:  2006-03       Impact factor: 4.942

4.  Widespread Historical Contingency in Influenza Viruses.

Authors:  Jean Claude Nshogozabahizi; Jonathan Dench; Stéphane Aris-Brosou
Journal:  Genetics       Date:  2016-11-09       Impact factor: 4.562

5.  Compositional properties and thermal adaptation of 18S rRNA in vertebrates.

Authors:  Annalisa Varriale; Giuseppe Torelli; Giorgio Bernardi
Journal:  RNA       Date:  2008-06-20       Impact factor: 4.942

6.  Interactions among flower-size QTL of Mimulus guttatus are abundant but highly variable in nature.

Authors:  John K Kelly; Julius P Mojica
Journal:  Genetics       Date:  2011-09-16       Impact factor: 4.562

7.  Dobzhansky-Muller incompatibilities in protein evolution.

Authors:  Alexey S Kondrashov; Shamil Sunyaev; Fyodor A Kondrashov
Journal:  Proc Natl Acad Sci U S A       Date:  2002-10-28       Impact factor: 11.205

Review 8.  Weak selection and protein evolution.

Authors:  Hiroshi Akashi; Naoki Osada; Tomoko Ohta
Journal:  Genetics       Date:  2012-09       Impact factor: 4.562

Review 9.  Role of RNA structure in regulating pre-mRNA splicing.

Authors:  M Bryan Warf; J Andrew Berglund
Journal:  Trends Biochem Sci       Date:  2009-12-01       Impact factor: 13.807

10.  Experimentally increased codon bias in the Drosophila Adh gene leads to an increase in larval, but not adult, alcohol dehydrogenase activity.

Authors:  Winfried Hense; Nathan Anderson; Stephan Hutter; Wolfgang Stephan; John Parsch; David B Carlini
Journal:  Genetics       Date:  2009-12-04       Impact factor: 4.562

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