SARS-CoV-2 Molecular and Phylogenetic analysis in COVID-19 patients: A preliminary report from Iran.
Infect Genet Evol
; 84: 104387, 2020 10.
Article
in English
| MEDLINE | ID: covidwho-436755
ABSTRACT
BACKGROUND:
The aim of the current study was to investigate and track the SARS-CoV-2 in Iranian Coronavirus Disease 2019 (COVID-19) patients using molecular and phylogenetic methods.METHODS:
We enrolled seven confirmed cases of COVID-19 patients for the phylogenetic assessment of the SARS-CoV-2 in Iran. The nsp-2, nsp-12, and S genes were amplified using one-step RT-PCR and sequenced using Sanger sequencing method. Popular bioinformatics software were used for sequences alignment and analysis as well as phylogenetic construction.RESULTS:
The mean age of the patients in the present study was 60.42 ± 9.94 years and 57.1% (4/7) were male. The results indicated high similarity between Iranian and Chinese strains. We could not find any particular polymorphisms in the assessed regions of the three genes. Phylogenetic trees by neighbor-joining and maximum likelihood method of nsp-2, nsp-12, and S genes showed that there are not any differences between Iranian isolates and those of other countries.CONCLUSION:
As a preliminary phylogenetic study in Iranian SARS-CoV-2 isolates, we found that these isolates are closely related to the Chinese and reference sequences. Also, no sensible differences were observed between Iranian isolates and those of other countries. Further investigations are recommended using more comprehensive methods and larger sample sizes.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Phylogeny
/
Pneumonia, Viral
/
RNA-Dependent RNA Polymerase
/
Genome, Viral
/
Viral Nonstructural Proteins
/
Coronavirus Infections
/
Pandemics
/
Spike Glycoprotein, Coronavirus
/
Betacoronavirus
Type of study:
Diagnostic study
/
Observational study
/
Randomized controlled trials
Limits:
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Country/Region as subject:
Asia
Language:
English
Journal:
Infect Genet Evol
Journal subject:
Biology
/
Communicable Diseases
/
Genetics
Year:
2020
Document Type:
Article
Affiliation country:
J.meegid.2020.104387
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