Drosophila 3' UTRs are more complex than protein-coding sequences.
The 3' UTRs of eukaryotic genes participate in a variety of post-transcriptional (and some transcriptional) regulatory interactions. Some of these interactions are well characterised, but an undetermined number remain to be discovered. While some regulatory sequences in 3' UTRs may be conserved over long evolutionary time scales, others may have only ephemeral functional significance as regulatory profiles respond to changing selective pressures. Here we propose a sensitive segmentation methodology for investigating patterns of composition and conservation in 3' UTRs based on comparison of closely related species. We describe encodings of pairwise and three-way alignments integrating information about conservation, GC content and transition/transversion ratios and apply the method to three closely related Drosophila species: D. melanogaster, D. simulans and D. yakuba. Incorporating multiple data types greatly increased the number of segment classes identified compared to similar methods based on conservation or GC content alone. We propose that the number of segments and number of types of segment identified by the method can be used as proxies for functional complexity. Our main finding is that the number of segments and segment classes identified in 3' UTRs is greater than in the same length of protein-coding sequence, suggesting greater functional complexity in 3' UTRs. There is thus a need for sustained and extensive efforts by bioinformaticians to delineate functional elements in this important genomic fraction. C code, data and results are available upon request.
School of Mathematical Sciences, Monash University, Clayton, Victoria, Australia.
Manjula
M
Algama
School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia.
Christopher
C
Oldmeadow
School of Mathematical Sciences, Monash University, Clayton, Victoria, Australia.
Edward
E
Tasker
School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
Kerrie
K
Mengersen
School of Mathematical Sciences, Monash University, Clayton, Victoria, Australia.
Jonathan M
JM
Keith
D020413:3' Untranslated Regions / Q000235:genetics*; D000818:Animals; D001483:Base Sequence; D019295:Computational Biology; D004330:Drosophila / Q000235:genetics*; D014644:Genetic Variation; D008957:Models, Genetic; D008969:Molecular Sequence Data; D016366:Open Reading Frames / Q000235:genetics; D013045:Species Specificity
D020413:3' Untranslated Regions