ReviewCell host & microbe2018
Mapping the Evolutionary Potential of RNA Viruses.
Review in Cell host & microbe, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 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
50 citing papers in PubMed.
- First Detection of Porcine Hemagglutinating Encephalomyelitis Virus (PHEV) in Wild Boars (Veterinary sciences · 2026Article
- Mapping the mutational landscape of an avian retrovirus envelope protein across its evolutionary trajectory.PLoS pathogens · 2026Article
- Suidae Coronaviruses: Epidemiology, Transmission, and Molecular Diagnosis.Animals : an open access journal from MDPI · 2026Review
- Stochastic intracellular replication dynamics shape population-level evolution in Influenza A Virus.Virus evolution · 2026Article
- Forecasting drug resistant HIV protease evolution.PLoS computational biology · 2026Article
- Phylogenetic and sequence analysis of the co-circulating lineages in the canine distemper virus complexity from Northern Vietnam (2017-2023).Veterinary research communications · 2025Article
- Identification and genetic characterization of Jingmen tick virus from ticks sampled in select regions of Kenya; 2022-2024.PloS one · 2025Article
- Quantifying the impact of vaccination on transmission and diversity of influenza A variants in pigs.Journal of virology · 2024Article
- Evolution shapes and conserves genomic signatures in viruses.Communications biology · 2024Article
- Single-Cell Virology: On-Chip, Quantitative Characterization of the Dynamics of Virus Spread from One Single Cell to Another.Viruses · 2024Article
- Single-cell virology: On-chip, quantitative characterization of the dynamics of virus spread from one single cell to another.bioRxiv : the preprint server for biology · 2024Article
- Emergence of SARS-CoV-2 omicron variant JN.1 in Tamil Nadu, India - Clinical characteristics and novel mutations.Scientific reports · 2024Article
- Emergence of SARS-CoV-2 Omicron Variant JN.1 in Tamil Nadu, India - Clinical Characteristics and Novel Mutations.medRxiv : the preprint server for health sciences · 2024Article
- SARS-CoV-2 genomics and impact on clinical care for COVID-19.The Journal of antimicrobial chemotherapy · 2023Article
- Comparing the evolutionary dynamics of predominant SARS-CoV-2 virus lineages co-circulating in Mexico.eLife · 2023Article
- Identification of Evolutionary Trajectories Shared across Human Betacoronaviruses.Genome biology and evolution · 2023Article
- Insights into In Vitro Adaptation of EV71 and Analysis of Reduced Virulence by In Silico Predictions.Vaccines · 2023Article
- Intrinsic D614G and P681R/H mutations in SARS-CoV-2 VoCs Alpha, Delta, Omicron and viruses with D614G plus key signature mutations in spike protein alters fusogenicity and infectivity.Medical microbiology and immunology · 2023Article
- Article
- Cartography of SARS-CoV-2 variants based on the susceptibility to therapeutic monoclonal antibodies.Journal of medical virology · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The deterministic force of natural selection and stochastic influence of drift shape RNA virus evolution. New deep-sequencing and microfluidics technologies allow us to quantify the effect of mutations and trace the evolution of viral populations with single-genome and single-nucleotide resolution. Such experiments can reveal the topography of the genotype-fitness landscapes that shape the path of viral evolution. By combining historical analyses, like phylogenetic approaches, with high-throughput and high-resolution evolutionary experiments, we can observe parallel patterns of evolution that drive important phenotypic transitions. These developments provide a framework for quantifying and anticipating potential evolutionary events. Here, we examine emerging technologies that can map the selective landscapes of viruses, focusing on their application to pathogenic viruses. We identify areas where these technologies can bolster our ability to study the evolution of viruses and to anticipate and possibly intervene in evolutionary events and prevent viral disease.
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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.