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      Factors Affecting Splicing Strength of Yeast Genes

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      1 , 1, 2 , *
      Comparative and Functional Genomics
      Hindawi Publishing Corporation

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          Abstract

          Accurate and efficient splicing is of crucial importance for highly-transcribed intron-containing genes (ICGs) in rapidly replicating unicellular eukaryotes such as the budding yeast Saccharomyces cerevisiae. We characterize the 5′ and 3′ splice sites (ss) by position weight matrix scores (PWMSs), which is the highest for the consensus sequence and the lowest for splice sites differing most from the consensus sequence and used PWMS as a proxy for splicing strength. HAC1, which is known to be spliced by a nonspliceosomal mechanism, has the most negative PWMS for both its 5′ ss and 3′ ss. Several genes under strong splicing regulation and requiring additional splicing factors for their splicing also have small or negative PWMS values. Splicing strength is higher for highly transcribed ICGs than for lowly transcribed ICGs and higher for transcripts that bind strongly to spliceosomes than those that bind weakly. The 3′ splice site features a prominent poly-U tract before the 3′AG. Our results suggest the potential of using PWMS as a screening tool for ICGs that are either spliced by a nonspliceosome mechanism or under strong splicing regulation in yeast and other fungal species.

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          Most cited references103

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            The codon Adaptation Index--a measure of directional synonymous codon usage bias, and its potential applications.

            P. Sharp, W Li (1987)
            A simple, effective measure of synonymous codon usage bias, the Codon Adaptation Index, is detailed. The index uses a reference set of highly expressed genes from a species to assess the relative merits of each codon, and a score for a gene is calculated from the frequency of use of all codons in that gene. The index assesses the extent to which selection has been effective in moulding the pattern of codon usage. In that respect it is useful for predicting the level of expression of a gene, for assessing the adaptation of viral genes to their hosts, and for making comparisons of codon usage in different organisms. The index may also give an approximate indication of the likely success of heterologous gene expression.
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              Sequencing and comparison of yeast species to identify genes and regulatory elements.

              Identifying the functional elements encoded in a genome is one of the principal challenges in modern biology. Comparative genomics should offer a powerful, general approach. Here, we present a comparative analysis of the yeast Saccharomyces cerevisiae based on high-quality draft sequences of three related species (S. paradoxus, S. mikatae and S. bayanus). We first aligned the genomes and characterized their evolution, defining the regions and mechanisms of change. We then developed methods for direct identification of genes and regulatory motifs. The gene analysis yielded a major revision to the yeast gene catalogue, affecting approximately 15% of all genes and reducing the total count by about 500 genes. The motif analysis automatically identified 72 genome-wide elements, including most known regulatory motifs and numerous new motifs. We inferred a putative function for most of these motifs, and provided insights into their combinatorial interactions. The results have implications for genome analysis of diverse organisms, including the human.
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                Author and article information

                Journal
                Comp Funct Genomics
                CFG
                Comparative and Functional Genomics
                Hindawi Publishing Corporation
                1531-6912
                1532-6268
                2011
                20 November 2011
                : 2011
                : 212146
                Affiliations
                1Department of Biology, University of Ottawa, 30 Marie Curie, P.O. Box 450, Station A, Ottawa, ON, Canada K1N 6N5
                2Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, ON, Canada K1H 8M5
                Author notes

                Academic Editor: John Parkinson

                Article
                10.1155/2011/212146
                3226532
                22162666
                19073da9-d717-407f-b759-d189e68e87ae
                Copyright © 2011 P. Ma and X. Xia.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 30 July 2011
                : 6 September 2011
                Categories
                Research Article

                Genetics
                Genetics

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