Evidence map›Paper›PMID 31908847›Full record

ArticleVirus evolution2019

Transcript degradation and codon usage regulate gene expression in a lytic phage.

Benjamin R Jack, Daniel R Boutz, Matthew L Paff, Bartram L Smith, Claus O Wilke

Open access · goldAbstract read
In one paragraph

Article in Virus evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  3. Article
  4. Article
  5. Article
  6. Article
  7. RNA Management During T7 Infection.PHAGE (New Rochelle, N.Y.) · 2022
    Article
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  9. Article
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  11. Article
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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 at 1 institution in 1 country.

Benjamin R JackDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX, USA.
Daniel R BoutzInstitute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA.
Matthew L PaffDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX, USA.
Bartram L SmithDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX, USA.
Claus O WilkeDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0002-7470-9261
The University of Texas at Austin · US

Funding

The biophysical basis of translational selectionR01GM088344 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BARRICK, JEFFREY EVAN, WILKE, CLAUS O · 2009 to 2023
$3.5M
Identifying Mutations that Promote Microbial EvolvabilityK99GM087550 · NIGMS · MICHIGAN STATE UNIVERSITY · PI BARRICK, JEFFREY EVAN · 2009 to 2010
$180k
NIGMS NIH HHS K99 GM087550NIGMS NIH HHS R01 GM088344
6 · The paper itself

Abstract

Many viral genomes are small, containing only single- or double-digit numbers of genes and relatively few regulatory elements. Yet viruses successfully execute complex regulatory programs as they take over their host cells. Here, we propose that some viruses regulate gene expression via a carefully balanced interplay between transcription, translation, and transcript degradation. As our model system, we employ bacteriophage T7, whose genome of approximately sixty genes is well annotated and for which there is a long history of computational models of gene regulation. We expand upon prior modeling work by implementing a stochastic gene expression simulator that tracks individual transcripts, polymerases, ribosomes, and ribonucleases participating in the transcription, translation, and transcript-degradation processes occurring during a T7 infection. By combining this detailed mechanistic modeling of a phage infection with high-throughput gene expression measurements of several strains of bacteriophage T7, evolved and engineered, we can show that both the dynamic interplay between transcription and transcript degradation, and between these two processes and translation, appear to be critical components of T7 gene regulation. Our results point to targeted degradation as a generic gene regulation strategy that may have evolved in many other viruses. Further, our results suggest that detailed mechanistic modeling may uncover the biological mechanisms at work in both evolved and engineered virus variants.

Indexed as

bacteriophage T7gene expressionmechanistic modelingRNA degradationviral attenuation

Identifiers

PMID31908847
PMCPMC6938266
OpenAlexW2997259491

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.