Evidence map›Paper›PMID 33934387›Full record

ArticleJournal of medical virology2021

Betacoronaviruses genome analysis reveals evolution toward specific codons usage: Implications for SARS-CoV-2 mitigation strategies.

Elisson N Lopes, Vagner Fonseca, Diego Frias, Stephane Tosta, Álvaro Salgado, Ricardo Assunção Vialle, Toscano S Paulo Eduardo, Fernanda K Barreto, Vasco Ariston de Azevedo, Michele Guarino and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.1field-weighted citation impact, top 52% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 8 institutions in 4 countries.

Elisson N LopesLaboratório de Genética Celular e Molecular, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.ORCID 0000-0003-1661-6304
Vagner FonsecaKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), College of Health Sciences, University of KwaZuluNatal, Durban, South Africa.ORCID 0000-0001-5521-6448
Diego FriasDepartamento de Ciências Exatas e da Terra, Universidade do Estado da Bahia, Salvador, Bahia, Brazil.
Stephane TostaLaboratório de Genética Celular e Molecular, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Álvaro SalgadoLaboratório de Genética Celular e Molecular, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Ricardo Assunção VialleNash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0003-3311-4197
Toscano S Paulo EduardoLaboratório de Biologia Molecular Aplicada, Departamento de Bioquímica, Universidade Federal do Rio Grande do Norte, Natal, Brazil.
Fernanda K BarretoUniversidade Federal da Bahia, Vitória da Conquista, Bahia, Brazil.
Vasco Ariston de AzevedoLaboratório de Genética Celular e Molecular, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Michele GuarinoDepartment of Gastrointestinal Diseases, Campus Bio-Medico University, Rome, Italy.
Silvia AngelettiUnit of Clinical Laboratory Science, University Campus Bio-Medico of Rome, Rome, Italy.ORCID 0000-0002-7393-8732
Massimo CiccozziMedical Statistic and Molecular Epidemiology Unit, University of Biomedical Campus, Rome, Italy.ORCID 0000-0003-3866-9239
Luiz C Junior AlcantaraLaboratório de Genética Celular e Molecular, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Marta GiovanettiLaboratório de Genética Celular e Molecular, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.ORCID 0000-0002-5849-7326
Universidade Federal de Minas Gerais · BRUniversità Campus Bio-Medico · ITAllen Institute for Brain Science · USIstituto Nazionale di Statistica · ITMinistério da Saúde · BRUniversidade do Estado da Bahia · BRUniversidade Federal da Bahia · BRUniversidade Federal do Rio Grande do Norte · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the start of the coronavirus disease 2019 (COVID-19) pandemic, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has rapidly widespread worldwide becoming one of the major global public health issues of the last centuries. Currently, COVID-19 vaccine rollouts are finally upon us carrying the hope of herd immunity once a sufficient proportion of the population has been vaccinated or infected, as a new horizon. However, the emergence of SARS-CoV-2 variants brought concerns since, as the virus is exposed to environmental selection pressures, it can mutate and evolve, generating variants that may possess enhanced virulence. Codon usage analysis is a strategy to elucidate the evolutionary pressure of the viral genome suffered by different hosts, as possible cause of the emergence of new variants. Therefore, to get a better picture of the SARS-CoV-2 codon bias, we first identified the relative codon usage rate of all Betacoronaviruses lineages. Subsequently, we correlated putative cognate transfer ribonucleic acid (tRNAs) to reveal how those viruses adapt to hosts in relation to their preferred codon usage. Our analysis revealed seven preferred codons located in three different open reading frame which appear preferentially used by SARS-CoV-2. In addition, the tRNA adaptation analysis indicates a wide strategy of competition between the virus and mammalian as principal hosts highlighting the importance to reinforce the genomic monitoring to prompt identify any potential adaptation of the virus into new potential hosts which appear to be crucial to prevent and mitigate the pandemic.

Indexed as

Codon UsageGenome, ViralMammalsAnimalsBetacoronavirusCodonCoronavirus InfectionsCOVID-19COVID-19 VaccinesHost-Pathogen InteractionsHumansMutationOpen Reading FramesPhylogenyRNA, TransferSARS-CoV-2CodonCOVID-19 VaccinesRNA, Transfercodon deoptimizationcodon usagecoronavirusesCOVID-19SARS-CoV-2

Identifiers

PMID33934387
PMCPMC8242727
OpenAlexW3158889502

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.