ArticleOncotarget2017
Analysis of the codon usage pattern in Middle East Respiratory Syndrome Coronavirus.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 29 citations in OpenAlex.
- Application of codon usage and context analysis in genes up- or down-regulated in neurodegeneration and cancer to combat comorbidities.Frontiers in molecular neuroscience · 2023Article
- Codon usage of host-specific P genotypes (VP4) in group A rotavirus.BMC genomics · 2022Article
- There is no "origin" to SARS-CoV-2.Environmental research · 2022Article
- Article
- Understanding the origin of COVID-19 requires to change the paradigm on zoonotic emergence from the spillover to the circulation model.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2021Review
- The Evolution of Severe Acute Respiratory Syndrome Coronavirus-2 during Pandemic and Adaptation to the Host.Journal of molecular evolution · 2021Article
- Comparative analysis of human coronaviruses focusing on nucleotide variability and synonymous codon usage patterns.Genomics · 2021Article
- A scheme for inferring viral-host associations based on codon usage patterns identifies the most affected signaling pathways during COVID-19.Journal of biomedical informatics · 2021Article
- Codon usage analysis of zoonotic coronaviruses reveals lower adaptation to humans by SARS-CoV-2.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2021Article
- Base Composition and Host Adaptation of the SARS-CoV-2: Insight From the Codon Usage Perspective.Frontiers in microbiology · 2021Article
- Deciphering the co-adaptation of codon usage between respiratory coronaviruses and their human host uncovers candidate therapeutics for COVID-19.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2020Article
- Evolution of Transmissible Gastroenteritis Virus (TGEV): A Codon Usage Perspective.International journal of molecular sciences · 2020Article
- A comprehensive analysis of genome composition and codon usage patterns of emerging coronaviruses.Virus research · 2020Article
- Article
- CoronaVR: A Computational Resource and Analysis of Epitopes and Therapeutics for Severe Acute Respiratory Syndrome Coronavirus-2.Frontiers in microbiology · 2020Article
- Analysis of Codon Usage and Nucleotide Bias in Middle East Respiratory Syndrome Coronavirus Genes.Evolutionary bioinformatics online · 2020Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Middle East Respiratory Syndrome Coronavirus (MERS-CoV), which first broken out in Jeddah in 2012, causes a severe acute respiratory illness with a high mortality rate. To better understand the molecular characteristics of isolated MERS-CoV genomes, we first analysed the codon usage pattern of the zoonotic MERS-CoV strains comprehensively to gain an insight into the mechanism of cross-species transmission. We found that MERS human/camel isolates showed a low codon usage bias. Both mutation and nature selection pressure have contributed to this low codon usage bias, with the former being the main determining factor. We also observed that gene function, evolution time and the different host species of the virus all contributed to the bias of MERS-CoV, to some extent. Additionally, the codon usage pattern of MERS-CoV isolates is different from other related Nidovirales viruses isolated from bats and hedgehogs. In the future, more epidemiological surveys are required to examine the factors that resulted in the emergence and outbreak of this virus.
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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.