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The Peculiarities of Large Intron Splicing in Animals

Overview of attention for article published in PLOS ONE, November 2009
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Title
The Peculiarities of Large Intron Splicing in Animals
Published in
PLOS ONE, November 2009
DOI 10.1371/journal.pone.0007853
Pubmed ID
Authors

Samuel Shepard, Mark McCreary, Alexei Fedorov

Abstract

In mammals a considerable 92% of genes contain introns, with hundreds and hundreds of these introns reaching the incredible size of over 50,000 nucleotides. These "large introns" must be spliced out of the pre-mRNA in a timely fashion, which involves bringing together distant 5' and 3' acceptor and donor splice sites. In invertebrates, especially Drosophila, it has been shown that larger introns can be spliced efficiently through a process known as recursive splicing-a consecutive splicing from the 5'-end at a series of combined donor-acceptor splice sites called RP-sites. Using a computational analysis of the genomic sequences, we show that vertebrates lack the proper enrichment of RP-sites in their large introns, and, therefore, require some other method to aid splicing. We analyzed over 15,000 non-redundant, large introns from six mammals, 1,600 from chicken and zebrafish, and 560 non-redundant large introns from five invertebrates. Our bioinformatic investigation demonstrates that, unlike the studied invertebrates, the studied vertebrate genomes contain consistently abundant amounts of direct and complementary strand interspersed repetitive elements (mainly SINEs and LINEs) that may form stems with each other in large introns. This examination showed that predicted stems are indeed abundant and stable in the large introns of mammals. We hypothesize that such stems with long loops within large introns allow intron splice sites to find each other more quickly by folding the intronic RNA upon itself at smaller intervals and, thus, reducing the distance between donor and acceptor sites.

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Geographical breakdown

Country Count As %
United States 5 5%
Brazil 2 2%
United Kingdom 2 2%
Hong Kong 1 <1%
Sweden 1 <1%
Greece 1 <1%
Canada 1 <1%
Unknown 88 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 31%
Student > Ph. D. Student 29 29%
Student > Bachelor 10 10%
Student > Postgraduate 6 6%
Student > Doctoral Student 5 5%
Other 14 14%
Unknown 6 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 57%
Biochemistry, Genetics and Molecular Biology 24 24%
Computer Science 3 3%
Medicine and Dentistry 2 2%
Environmental Science 2 2%
Other 3 3%
Unknown 9 9%