Evidence map›Paper›PMID 33993372›Full record

ArticleJournal of molecular evolution2021

The Evolution of Severe Acute Respiratory Syndrome Coronavirus-2 during Pandemic and Adaptation to the Host.

Snawar Hussain, Sahibzada Tasleem Rasool, Shinu Pottathil

Open access · bronzeAbstract read
In one paragraph

Article in Journal of molecular evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 46 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Snawar HussainDepartment of Biomedical Sciences, College of Clinical Pharmacy, King Faisal University, P.O Box. 400, Al-Ahsa, 31982, Kingdom of Saudi Arabia. shhussain@kfu.edu.sa.ORCID 0000-0002-9765-0565
Sahibzada Tasleem RasoolDepartment of Biomedical Sciences, College of Clinical Pharmacy, King Faisal University, P.O Box. 400, Al-Ahsa, 31982, Kingdom of Saudi Arabia.
Shinu PottathilDepartment of Biomedical Sciences, College of Clinical Pharmacy, King Faisal University, P.O Box. 400, Al-Ahsa, 31982, Kingdom of Saudi Arabia.
King Faisal University · SA

Funding

Deanship of Scientific Research, King Faisal University 206156
6 · The paper itself

Abstract

Severe Acute Respiratory Syndrome Coronavirus-2 is a zoonotic virus with a possible origin in bats and potential transmission to humans through an intermediate host. When zoonotic viruses jump to a new host, they undergo both mutational and natural selective pressures that result in non-synonymous and synonymous adaptive changes, necessary for efficient replication and rapid spread of diseases in new host species. The nucleotide composition and codon usage pattern of SARS-CoV-2 indicate the presence of a highly conserved, gene-specific codon usage bias. The codon usage pattern of SARS-CoV-2 is mostly antagonistic to human and bat codon usage. SARS-CoV-2 codon usage bias is mainly shaped by the natural selection, while mutational pressure plays a minor role. The time-series analysis of SARS-CoV-2 genome indicates that the virus is slowly evolving. Virus isolates from later stages of the outbreak have more biased codon usage and nucleotide composition than virus isolates from early stages of the outbreak.

Indexed as

Evolution, MolecularAdaptation, PhysiologicalAnimalsChiropteraCodon UsageCOVID-19Genome, ViralHost-Pathogen InteractionsHumansMutationPandemicsPrincipal Component AnalysisSARS-CoV-2Selection, GeneticTime FactorsVirus ReplicationCodon usage biasCOVID-19Natural selectionSever Acute Respiratory Syndrome Coronavirus-2Virus evolution

Identifiers

PMID33993372
PMCPMC8123100
OpenAlexW3162606957

What OpenQuestion holds

Textmetadata
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.