Evidence map›Paper›PMID 32170151›Full record

ArticleCommunications biology2020

Deep splicing plasticity of the human adenovirus type 5 transcriptome drives virus evolution.

I'ah Donovan-Banfield, Andrew S Turnell, Julian A Hiscox, Keith N Leppard, David A Matthews

Abstract read
In one paragraph

Article in Communications biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed.

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  9. Extended poly(A) tails are a shared feature of herpesvirus mRNAs.bioRxiv : the preprint server for biology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

I'ah Donovan-BanfieldDepartment of Cellular and Molecular Medicine, School of Medical Sciences University Walk, University of Bristol, Bristol, BS8 1TD, UK.
Andrew S TurnellInstitute of Cancer and Genomic Sciences College of Medical and Dental Sciences University of Birmingham Edgbaston, Birmingham, B15 2TT, UK.ORCID http://orcid.org/0000-0002-8738-8882
Julian A HiscoxDepartment of Infection Biology, Institute of Infection and Global Health, University of Liverpool, ic2 Building, Liverpool, L3 5RF, UK.
Keith N LeppardLife Sciences University of Warwick Coventry, Coventry, CV4 7AL, UK.
David A MatthewsDepartment of Cellular and Molecular Medicine, School of Medical Sciences University Walk, University of Bristol, Bristol, BS8 1TD, UK. d.a.matthews@bristol.ac.uk.ORCID http://orcid.org/0000-0003-4611-8795

Funding

Biotechnology and Biological Sciences Research Council BB/M02542X/1
6 · The paper itself

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.

Indexed as

Evolution, MolecularTranscriptomeAdenoviruses, HumanAlternative SplicingBase SequenceCell LineCodon UsageComputational BiologyExonsFibroblastsGene Expression ProfilingGenome, ViralHumansPolyadenylationPromoter Regions, GeneticRNA-SeqRNA, Viral

Identifiers

PMID32170151
PMCPMC7070027

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.