Email updates

Keep up to date with the latest news and content from Genome Biology and BioMed Central.

Open Access Highly Accessed Research

Challenging the spliceosome machine

Michael Weir1*, Matthew Eaton12 and Michael Rice2

Author Affiliations

1 Department of Biology, Wesleyan University, Middletown, CT 06459, USA

2 Department of Mathematics and Computer Science, Wesleyan University, Middletown, CT 06459, USA

For all author emails, please log on.

Genome Biology 2006, 7:R3  doi:10.1186/gb-2006-7-1-r3

Published: 17 January 2006

Abstract

Background

Using cDNA copies of transcripts and corresponding genomic sequences from the Berkeley Drosophila Genome Project, a set of 24,753 donor and acceptor splice sites were computed with a scanning algorithm that tested for single nucleotide insertion, deletion and substitution polymorphisms. Using this dataset, we developed a progressive partitioning approach to examining the effects of challenging the spliceosome system.

Results

Our analysis shows that information content increases near splice sites flanking progressively longer introns and exons, suggesting that longer splice elements require stronger binding of spliceosome components. Information also increases at splice sites near very short introns and exons, suggesting that short splice elements have crowding problems. We observe that the information found at individual splice sites depends upon a balance of splice element lengths in the vicinity, including both flanking and non-adjacent introns and exons.

Conclusion

These results suggest an interdependence of multiple splicing events along the pre-mRNA, which may have implications for how the macromolecular spliceosome machine processes sets of neighboring splice sites.