The Library
Deep splicing plasticity of the human adenovirus type 5 transcriptome drives virus evolution
Tools
Donovan-Banfield, I’ah, Turnell, Andrew S., Hiscox, Julian A., Leppard, Keith and Matthews, David A. (2020) Deep splicing plasticity of the human adenovirus type 5 transcriptome drives virus evolution. Communications Biology, 3 . 124. doi:10.1038/s42003-020-0849-9 ISSN 2399-3642.
|
PDF
WRAP-deep-splicing-plasticity-human-adenovirus-type-drives-evolution-Leppard-2020.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (3978Kb) | Preview |
|
PDF
WRAP-deep-splicing-plasticity-human-adenovirus-type 5-transcriptome-drives-virus-evolution-Leppard-2020.pdf - Accepted Version Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer. Download (2647Kb) |
Official URL: https://doi.org/10.1038/s42003-020-0849-9
Abstract
Viral genomes have high gene densities and complex transcription strategies rendering transcriptome analysis through short-read RNA-seq approaches problematic. Adenovirus transcription and splicing is especially complex. We used long-read direct RNA sequencing to study adenovirus transcription and splicing during infection. This revealed a previously unappreciated complexity of alternative splicing and potential for secondary initiating codon usage. Moreover, we find that most viral transcripts tend to shorten polyadenylation lengths as infection progresses. Development of an open reading frame centric bioinformatics analysis pipeline provided a deeper quantitative and qualitative understanding of adenovirus’s genetic potential. Across the viral genome adenovirus makes multiple distinctly spliced transcripts that code for the same protein. Over 11,000 different splicing patterns were recorded across the viral genome, most occurring at low levels. This low-level use of alternative splicing patterns potentially enables the virus to maximise its coding potential over evolutionary timescales.
Item Type: | Journal Article | ||||||
---|---|---|---|---|---|---|---|
Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) | ||||||
Journal or Publication Title: | Communications Biology | ||||||
Publisher: | Nature Publishing Group | ||||||
ISSN: | 2399-3642 | ||||||
Official Date: | 13 March 2020 | ||||||
Dates: |
|
||||||
Volume: | 3 | ||||||
Article Number: | 124 | ||||||
DOI: | 10.1038/s42003-020-0849-9 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 4 March 2020 | ||||||
Date of first compliant Open Access: | 13 March 2020 | ||||||
Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year