ArticleVirus evolution2019
Transcript degradation and codon usage regulate gene expression in a lytic phage.
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.
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.
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.
Who cites it
12 citing papers in PubMed, 25 citations in OpenAlex.
- Availability of Charged tRNAs Drives Maximal Protein Synthesis at Intermediate Levels of Codon Usage Bias.Bulletin of mathematical biology · 2026Article
- Systematic genome-wide mapping of host determinants of bacteriophage infectivity.Cell systems · 2025Article
- The infection cycle of the haloarchaeal virus HFTV1 is tightly regulated and strongly inhibits motility of its host.mSystems · 2025Article
- Codon usage modulates the relationship between the burden and yield of protein overexpression.Journal of biological engineering · 2025Article
- Article
- Droplet-based methodology for investigating bacterial population dynamics in response to phage exposure.Frontiers in microbiology · 2023Article
- RNA Management During T7 Infection.PHAGE (New Rochelle, N.Y.) · 2022Article
- Massively parallel characterization of engineered transcript isoforms using direct RNA sequencing.Nature communications · 2022Article
- Engineering a Dynamic Controllable Infectivity Switch in Bacteriophage T7.ACS synthetic biology · 2022Article
- Generating dynamic gene expression patterns without the need for regulatory circuits.PloS one · 2022Article
- ΦX174 Attenuation by Whole-Genome Codon Deoptimization.Genome biology and evolution · 2021Article
- Predicting the viability of beta-lactamase: How folding and binding free energies correlate with beta-lactamase fitness.PloS one · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.