Functional importance of different patterns of correlation between adjacent cassette exons in human and mouse.
BACKGROUND
Alternative splicing expands transcriptome diversity and plays an important role in regulation of gene expression. Previous studies focus on the regulation of a single cassette exon, but recent experiments indicate that multiple cassette exons within a gene may interact with each other. This interaction can increase the potential to generate various transcripts and adds an extra layer of complexity to gene regulation. Several cases of exon interaction have been discovered. However, the extent to which the cassette exons coordinate with each other remains unknown.


RESULTS
Based on EST data, we employed a metric of correlation coefficients to describe the interaction between two adjacent cassette exons and then categorized these exon pairs into three different groups by their interaction (correlation) patterns. Sequence analysis demonstrates that strongly-correlated groups are more conserved and contain a higher proportion of pairs with reading frame preservation in a combinatorial manner. Multiple genome comparison further indicates that different groups of correlated pairs have different evolutionary courses: (1) The vast majority of positively-correlated pairs are old, (2) most of the weakly-correlated pairs are relatively young, and (3) negatively-correlated pairs are a mixture of old and young events.


CONCLUSIONS
We performed a large-scale analysis of interactions between adjacent cassette exons. Compared with weakly-correlated pairs, the strongly-correlated pairs, including both the positively and negatively correlated ones, show more evidence that they are under delicate splicing control and tend to be functionally important. Additionally, the positively-correlated pairs bear strong resemblance to constitutive exons, which suggests that they may evolve from ancient constitutive exons, while negatively and weakly correlated pairs are more likely to contain newly emerging exons.
Peng
Tao
T
MOE Key Laboratory of Bioinformatics and Bioinformatics Division, TNLIST/Department of Automation, Tsinghua University, Beijing 100084, PRoC. pengtao@mails.tsinghua.edu.cn
Xue
Chenghai
C
Bi
Jianning
J
Li
Tingting
T
Wang
Xiaowo
X
Zhang
Xuegong
X
Li
Yanda
Y
D017398:Alternative Splicing / Q000235:genetics; D000818:Animals; D001483:Base Sequence; D017124:Conserved Sequence; D004247:DNA / Q000235:genetics; D019143:Evolution, Molecular; D005091:Exons / Q000235:genetics*; D015894:Genome, Human / Q000235:genetics; D023281:Genomics; D006801:Humans; D007438:Introns / Q000235:genetics; D051379:Mice; D012333:RNA, Messenger / Q000235:genetics; D016364:Reading Frames; D012641:Selection, Genetic
D012333:RNA, Messenger; D004247:DNA