2001Nucleic Acids ResearchOpen access

Multiple features contribute to efficient constitutive splicing of an unusually large exon

Shirley R. Bruce

Open full text 15 citations

Abstract

Vertebrate internal exons are usually between 50 and 400 nt long; exons outside this size range may require additional exonic and/or intronic sequences to be spliced into the mature mRNA. The mouse polymeric immunoglobulin receptor gene has a 654 nt exon that is efficiently spliced into the mRNA. We have examined this exon to identify features that contribute to its efficient splicing despite its large size; a large constitutive exon has not been studied previously. We found that a strong 5' splice site is necessary for this exon to be spliced intact, but the splice sites alone were not sufficient to efficiently splice a large exon. At least two exonic sequences and one evolutionarily conserved intronic sequence also contribute to recognition of this exon. However, these elements have redundant activities as they could only be detected in conjunction with other mutations that reduced splicing efficiency. Several mutations activated cryptic 5' splice sites that created smaller exons. Thus, the balance between use of these potential sites and the authentic 5' splice site must be modulated by sequences that repress or enhance use of these sites, respectively. Also, sequences that enhance cryptic splice site use must be absent from this large exon.

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What this paper is about

Vertebrate internal exons are usually between 50 and 400 nt long; exons outside this size range may require additional exonic and/or intronic sequences to be spliced into the mature mRNA. The mouse polymeric immunoglobulin receptor gene has a 654 nt exon that is efficiently spliced into the mRNA. We have examined this exon to identify features that contribute to its efficient splicing despite its large size; a large constitutive exon has not been studied previously. We found that a strong 5' splice site is necessary for this exon to be spliced intact, but the splice sites alone were not sufficient to efficiently splice a large exon. At least two exonic sequences and one evolutionarily conserved intronic sequence also contribute to recognition of this exon. However, these elements have redundant activities as they could only be detected in conjunction with other mutations that reduced splicing efficiency. Several mutations activated cryptic 5' splice sites that created smaller exons. Thus, the balance between use of these potential sites and the authentic 5' splice site must be modulated by sequences that repress or enhance use of these sites, respectively. Also, sequences that enhance cryptic splice site use must be absent from this large exon.

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Available abstract

Vertebrate internal exons are usually between 50 and 400 nt long; exons outside this size range may require additional exonic and/or intronic sequences to be spliced into the mature mRNA. The mouse polymeric immunoglobulin receptor gene has a 654 nt exon that is efficiently spliced into the mRNA. We have examined this exon to identify features that contribute to its efficient splicing despite its large size; a large constitutive exon has not been studied previously. We found that a strong 5' splice site is necessary for this exon to be spliced intact, but the splice sites alone were not sufficient to efficiently splice a large exon. At least two exonic sequences and one evolutionarily conserved intronic sequence also contribute to recognition of this exon. However, these elements have redundant activities as they could only be detected in conjunction with other mutations that reduced splicing efficiency. Several mutations activated cryptic 5' splice sites that created smaller exons. Thus, the balance between use of these potential sites and the authentic 5' splice site must be modulated by sequences that repress or enhance use of these sites, respectively. Also, sequences that enhance cryptic splice site use must be absent from this large exon.

Key concepts: Biology, Exon, RNA splicing, Genetics, Alternative splicing, Computational biology, Evolutionary biology, Gene

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