ArticlePloS one2011
Stability of yellow fever virus under recombinatory pressure as compared with chikungunya virus.
Article in PloS one, 2011. 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
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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, 26 citations in OpenAlex.
- Article
- Comparative genomics of Japanese encephalitis virus shows low rates of recombination and a small subset of codon positions under episodic diversifying selection.PLoS neglected tropical diseases · 2024Article
- Correlated substitutions reveal SARS-like coronaviruses recombine frequently with a diverse set of structured gene pools.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Global Patterns of Recombination across Human Viruses.Molecular biology and evolution · 2021Article
- Discriminating arboviral species.The Journal of general virology · 2021Article
- Review
- Adaptive Diversification Between Yellow Fever Virus West African and South American Lineages: A Genome-Wide Study.The American journal of tropical medicine and hygiene · 2017Article
- Review
- Nonstructural Proteins Are Preferential Positive Selection Targets in Zika Virus and Related Flaviviruses.PLoS neglected tropical diseases · 2016Article
- Emerging Role of Zika Virus in Adverse Fetal and Neonatal Outcomes.Clinical microbiology reviews · 2016Review
- Zika virus: History, emergence, biology, and prospects for control.Antiviral research · 2016Review
- Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
Recombination is a mechanism whereby positive sense single stranded RNA viruses exchange segments of genetic information. Recent phylogenetic analyses of naturally occurring recombinant flaviviruses have raised concerns regarding the potential for the emergence of virulent recombinants either post-vaccination or following co-infection with two distinct wild-type viruses. To characterize the conditions and sequences that favor RNA arthropod-borne virus recombination we constructed yellow fever virus (YFV) 17D recombinant crosses containing complementary deletions in the envelope protein coding sequence. These constructs were designed to strongly favor recombination, and the detection conditions were optimized to achieve high sensitivity recovery of putative recombinants. Full length recombinant YFV 17D virus was never detected under any of the experimental conditions examined, despite achieving estimated YFV replicon co-infection levels of ∼2.4 x 10⁶ in BHK-21 (vertebrate) cells and ∼1.05 x 10⁵ in C₇10 (arthropod) cells. Additionally YFV 17D superinfection resistance was observed in vertebrate and arthropod cells harboring a primary infection with wild-type YFV Asibi strain. Furthermore recombination potential was also evaluated using similarly designed chikungunya virus (CHIKV) replicons towards validation of this strategy for recombination detection. Non-homologus recombination was observed for CHIKV within the structural gene coding sequence resulting in an in-frame duplication of capsid and E3 gene. Based on these data, it is concluded that even in the unlikely event of a high level acute co-infection of two distinct YFV genomes in an arthropod or vertebrate host, the generation of viable flavivirus recombinants is extremely unlikely.
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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.