ArticlePeerJ2020
Excessive G-U transversions in novel allele variants in SARS-CoV-2 genomes.
Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Characterization of SARS-CoV-2 different variants and related morbidity and mortality: a systematic review.European journal of medical research · 2021Pooled it
- Impact of an oxidative RNA lesion on in vitro replication catalyzed by SARS-CoV-2 RNA-dependent RNA polymerase.The Journal of biological chemistry · 2025Article
- Article
- Properties and Mechanisms of Deletions, Insertions, and Substitutions in the Evolutionary History of SARS-CoV-2.International journal of molecular sciences · 2024Review
- Analysis of SARS-CoV-2 genome evolutionary patterns.Microbiology spectrum · 2024Article
- COVID-19 annual update: a narrative review.Human genomics · 2023Review
- The SARS-CoV-2 mutation landscape is shaped before replication starts.Genetics and molecular biology · 2023Article
- Article
- The substitution spectra of coronavirus genomes.Briefings in bioinformatics · 2022Article
- Evidence for a mouse origin of the SARS-CoV-2 Omicron variant.Journal of genetics and genomics = Yi chuan xue bao · 2021Article
- There is still no evidence of SARS-CoV-2 laboratory origin: Response to Segreto and Deigin (10.1002/bies.202100137).BioEssays : news and reviews in molecular, cellular and developmental biology · 2021Article
- Host-specific asymmetric accumulation of mutation types reveals that the origin of SARS-CoV-2 is consistent with a natural process.Innovation (Cambridge (Mass.)) · 2021Article
- Mutation Rates and Selection on Synonymous Mutations in SARS-CoV-2.Genome biology and evolution · 2021Article
- There is no evidence of SARS-CoV-2 laboratory origin: Response to Segreto and Deigin (DOI: 10.1002/bies.202000240).BioEssays : news and reviews in molecular, cellular and developmental biology · 2021Article
- Pan-India novel coronavirus SARS-CoV-2 genomics and global diversity analysis in spike protein.Heliyon · 2021Article
- Mutation rates and selection on synonymous mutations in SARS-CoV-2.bioRxiv : the preprint server for biology · 2021Article
- Relevant SARS-CoV-2 Genome Variation through Six Months of Worldwide Monitoring.BioMed research international · 2021Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSARS-CoV-2 is a novel coronavirus that causes COVID-19 infection, with a closest known relative found in bats. For this virus, hundreds of genomes have been sequenced. This data provides insights into SARS-CoV-2 adaptations, determinants of pathogenicity and mutation patterns. A comparison between patterns of mutations that occurred before and after SARS-CoV-2 jumped to human hosts may reveal important evolutionary consequences of zoonotic transmission.
methodsWe used publically available complete genomes of SARS-CoV-2 to calculate relative frequencies of single nucleotide variations. These frequencies were compared with relative substitutions frequencies between SARS-CoV-2 and related animal coronaviruses. A similar analysis was performed for human coronaviruses SARS-CoV and HKU1.
resultsWe found a 9-fold excess of G-U transversions among SARS-CoV-2 mutations over relative substitution frequencies between SARS-CoV-2 and a close relative coronavirus from bats (RaTG13). This suggests that mutation patterns of SARS-CoV-2 have changed after transmission to humans. The excess of G-U transversions was much smaller in a similar analysis for SARS-CoV and non-existent for HKU1. Remarkably, we did not find a similar excess of complementary C-A mutations in SARS-CoV-2. We discuss possible explanations for these observations.
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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.