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Published on: May 17, 2014
Regulatory Divergence of Transcript Isoforms in a Mammalian Model System
Sarah Leigh-Brown1, Angela Goncalves2, David Thybert3
1University of Cambridge, Cancer Research UK - Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom.
Investigating transcriptome divergence in Mus musculus revealed that variations in gene isoform usage significantly impact transcriptomic changes. This highlights coordinated regulatory systems driving evolutionary differences.
Area of Science:
- Genomics
- Molecular Biology
- Evolutionary Biology
Background:
- Phenotypic variation between species arises from altered gene expression and transcriptome regulation.
- Previous studies on mammalian transcriptome divergence focused on bulk expression and splicing.
- Understanding regulatory mechanisms is key to explaining species differences.
Purpose of the Study:
- To quantify the contribution of various regulatory systems to transcriptome divergence in Mus musculus.
- To investigate the impact of alternative isoform usage on protein-coding sequences and regulatory elements.
- To explore the coordination and cross-talk between different regulatory systems.
Main Methods:
- Utilized allele-specific expression analysis in inter-strain hybrids of Mus musculus.
- Examined multiple regulatory systems: alternative promoter usage, transcription start site selection, cassette exon usage, alternative last exon usage, and alternative polyadenylation site choice.
- Analyzed variations in gene isoform usage and their effects on UTRs and amino acid sequences.
Main Results:
- One-fifth of genes exhibit isoform usage variations contributing to transcriptomic changes between mouse strains.
- Half of these variations alter the encoded amino acid sequence.
- Nearly all isoform divergence impacted post-transcriptional regulatory elements within gene UTRs.
- Most genes with isoform differences showed changes from multiple regulatory systems, indicating cross-talk.
- Isoform usage divergence occurs in parallel with and independently of gene expression evolution.
Conclusions:
- Multiple cellular regulatory systems contribute significantly to transcriptome divergence.
- Widespread cross-talk and coordination exist among different regulatory systems.
- Isoform usage evolution is a key, yet distinct, driver of transcriptomic differences between species.
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