ArticleJournal of virology2014
Quantitative characterization of defective virus emergence by deep sequencing.
Article in Journal of virology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed, 34 citations in OpenAlex.
- Coevolutionary dynamics of viruses and their defective interfering particles.PLoS computational biology · 2026Article
- Molecular characterization of arenavirus defective viral genomes reveals sequence features associated with their formation.Journal of virology · 2026Article
- Bioinformatics identification of copyback and multihost-adapted defective viral genomes in dengue virus.Frontiers in cellular and infection microbiology · 2026Article
- Coevolutionary dynamics of viruses and their defective interfering particles.bioRxiv : the preprint server for biology · 2025Article
- Matryoshka Dolls of Virus Evolution: The Internal Forces That Shape Viral Fate.Integrative and comparative biology · 2025Article
- Deletion viral genome diversity among bovine viral diarrhea virus (BVDV) 1a and 1b strains.Virology journal · 2025Article
- VODKA2: a fast and accurate method to detect non-standard viral genomes from large RNA-seq data sets.RNA (New York, N.Y.) · 2023Article
- Virus-like Particles: Measures and Biological Functions.Viruses · 2022Review
- Accumulation of copy-back viral genomes during respiratory syncytial virus infection is preceded by diversification of the copy-back viral genome population followed by selection.Virus evolution · 2022Article
- Article
- Identification and Characterization of Defective Viral Genomes in Ebola Virus-Infected Rhesus Macaques.Journal of virology · 2021Article
- Defective Interfering Particles of Negative-Strand RNA Viruses.Trends in microbiology · 2020Review
- Article
- Defective viral genomes are key drivers of the virus-host interaction.Nature microbiology · 2019Review
- Sequencing Framework for the Sensitive Detection and Precise Mapping of Defective Interfering Particle-Associated Deletions across Influenza A and B Viruses.Journal of virology · 2019Article
- Article
- An overview of process intensification and thermo stabilization for upscaling of Peste des petits ruminants vaccines in view of global control and eradication.Virusdisease · 2018Review
- Emergency Services of Viral RNAs: Repair and Remodeling.Microbiology and molecular biology reviews : MMBR · 2018Review
- Nonlinear trade-offs allow the cooperation game to evolve from Prisoner's Dilemma to Snowdrift.Proceedings. Biological sciences · 2017Article
- Viroid quasispecies revealed by deep sequencing.RNA biology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
unlabelledPopulations of RNA viruses can spontaneously produce variants that differ in genome size, sequence, and biological activity. Defective variants that lack essential genes can nevertheless reproduce by coinfecting cells with viable virus, a process that interferes with virus growth. How such defective interfering particles (DIPs) change in abundance and biological activity within a virus population is not known. Here, a prototype RNA virus, vesicular stomatitis virus (VSV), was cultured for three passages on BHK host cells, and passages were subjected to Illumina sequencing. Reads from the initial population, when aligned to the full-length viral sequence (11,161 nucleotides [nt]), distributed uniformly across the genome. However, during passages two plateaus in read counts appeared toward the 5' end of the negative-sense viral genome. Analysis by normalization and a simple sliding-window approach revealed plateau boundaries that suggested the emergence and enrichment of at least two truncated species having medium (∼5,900 nt) and short (∼4,000 nt) genomes. Relative measures of full-length and truncated species based on read counts were validated by quantitative reverse transcription-PCR (qRT-PCR). Limit-of-detection analysis suggests that deep sequencing can be more sensitive than complementary measures for detecting and quantifying defective particles in a population. Further, particle counts from transmission electron microscopy, coupled with infectivity assays, linked the rise in smaller genomes with an increase in truncated particles and interference activity. In summary, variation in deep sequencing coverage simultaneously shows the size, location, and relative level of truncated-genome variants, revealing a level of population heterogeneity that is masked by other measures of viral genomes and particles. IMPORTANCE: We show how deep sequencing can be used to characterize the emergence, diversity, and relative abundance of truncated virus variants in virus populations. Adaptation of this approach to natural isolates may elucidate factors that influence the stability and persistence of virus populations in nature.
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.