ArticleNature2014
Mutational and fitness landscapes of an RNA virus revealed through population sequencing.
Article in Nature, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 251 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
251 citing papers in PubMed, 428 citations in OpenAlex.
- Review
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- Concepts of RNA virus evolution for the design of better antiviral countermeasures.Nature reviews. Microbiology · 2026Review
- Scanning the horizon: deep mutational scanning approaches in virology.Journal of virology · 2026Review
- Diversity and distinctive characteristics of the global RNA virome in urban and peri-urban environments.Nature communications · 2026Article
- VICAST: An Integrated Toolkit for Viral Genome Annotation Curation and Low-Frequency Variant Analysis in Passage Studies.bioRxiv : the preprint server for biology · 2026Article
- Polymerase trapping as the mechanism of H5 highly pathogenic avian influenza virus genesis.Science (New York, N.Y.) · 2026Article
- Mapping the mutational landscape of an avian retrovirus envelope protein across its evolutionary trajectory.PLoS pathogens · 2026Article
- Engineered bacteria launch and control an oncolytic virus.Nature biomedical engineering · 2026Article
- Mistranslation suppresses mistranscription in eukaryotes.Nature communications · 2026Article
- Near Neutral Selectionist Theories (NNST) for SARS-CoV-2 suggested by the substitution-mutation ratio (c/µ) analysis.PloS one · 2026Article
- Characterization of the heterogeneity in SARS-CoV-2 fitness dynamics via graph representation learning.PLoS computational biology · 2026Article
- A data-driven sliding-window pairwise comparative approach for the estimation of transmission fitness of SARS-CoV-2 variants and construction of the evolution fitness landscape.Quantitative biology (Beijing, China) · 2025Article
- Virus Propagation Linked to Exceedingly Rare Gene-Expression Errors: A Single-Molecule Microscopy Demonstration.ACS chemical biology · 2025Article
- The IFIT2-IFIT3 antiviral complex targets short 5' untranslated regions on viral mRNAs for translation inhibition.Nature microbiology · 2025Article
- Transcription fidelity and control of alternative splicing contribute to heat stress survival in Arabidopsis.The Plant cell · 2025Article
- The mutational landscape of SARS-CoV-2 provides new insight into viral evolution and fitness.Nature communications · 2025Article
- Strategies and efforts in circumventing the emergence of antiviral resistance against conventional antivirals.npj antimicrobials and resistance · 2025Review
- Nanopore-based consensus sequencing enables accurate multimodal tumor cell-free DNA profiling.Genome research · 2025Article
- Genomic hotspots in the DENV-2 serotype (E, NS4B, and NS5 genes) are associated with dengue disease severity in the endemic region of India.PLoS neglected tropical diseases · 2025Article
191 more citing papers are in PubMed but not listed here.
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 1 institution in 1 country.
Funding
Abstract
RNA viruses exist as genetically diverse populations. It is thought that diversity and genetic structure of viral populations determine the rapid adaptation observed in RNA viruses and hence their pathogenesis. However, our understanding of the mechanisms underlying virus evolution has been limited by the inability to accurately describe the genetic structure of virus populations. Next-generation sequencing technologies generate data of sufficient depth to characterize virus populations, but are limited in their utility because most variants are present at very low frequencies and are thus indistinguishable from next-generation sequencing errors. Here we present an approach that reduces next-generation sequencing errors and allows the description of virus populations with unprecedented accuracy. Using this approach, we define the mutation rates of poliovirus and uncover the mutation landscape of the population. Furthermore, by monitoring changes in variant frequencies on serially passaged populations, we determined fitness values for thousands of mutations across the viral genome. Mapping of these fitness values onto three-dimensional structures of viral proteins offers a powerful approach for exploring structure-function relationships and potentially uncovering new functions. To our knowledge, our study provides the first single-nucleotide fitness landscape of an evolving RNA virus and establishes a general experimental platform for studying the genetic changes underlying the evolution of virus populations.
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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.