Literature DB >> 11404015

Introns resolve the conflict between base order-dependent stem-loop potential and the encoding of RNA or protein: further evidence from overlapping genes.

I H Barrette1, S McKenna, D R Taylor, D R Forsdyke.   

Abstract

Many eukaryotic genes are split into exons and introns, the latter being removed post-transcriptionally so that only exon sequences appear in cytoplasmic RNAs. Since introns appear in both protein-encoding RNAs and non-protein-coding RNAs, they interrupt genetic information per se, not just protein-encoding information. A DNA sequence has the potential to carry more than one type of genetic information, but different types may conflict. Thus, it has been proposed that introns arose because sequences were unable to contain concomitantly complete information for the encoding both of stem-loops and of cytoplasmic products (protein and/or RNA). Stem-loop potential is held to be selectively advantageous since it promotes the recombination-dependent correction of genetic errors. Stem-loop potential, the best local measure of which is base order-dependent stem-loop potential, tends to be less in exons than in introns. This is particularly evident in genes evolving rapidly under positive Darwinian selection, where the protein-encoding function is dominant. Evidence is now presented that the rare regions where genes overlap also impose excessive encoding demands so that the concomitant coding of base order-dependent stem-loop potential is decreased. Our results are consistent with the hypothesis that sequences with high stem-loop potential arose in the early 'RNA world'. Ancestors of modern genes would have entered this world when sequences (exons) encoding cytoplasmic products, were interspersed with sequences (introns) encoding selectively advantageous stem-loops. Purine-loading pressure would also have favoured intron formation.

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Year:  2001        PMID: 11404015     DOI: 10.1016/s0378-1119(01)00477-2

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  2 in total

1.  Optimum growth temperature and the base composition of open reading frames in prokaryotes.

Authors:  R J Lambros; J R Mortimer; D R Forsdyke
Journal:  Extremophiles       Date:  2003-08-28       Impact factor: 2.395

2.  FORS-D Analysis in P. falciparum can Differentiate Classes of Genes Under Selection.

Authors:  Atish Kathpal; Balakota Reddy Patakottu; Swati Patankar
Journal:  Evol Bioinform Online       Date:  2011-03-20       Impact factor: 1.625

  2 in total

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