Journal of Advanced Biomedical Sciences
مجله علوم زیست پزشکی پیشرفته
JABS
Medical Sciences
http://jabs.fums.ac.ir
1
admin
2228-5105
2783-1523
8
7
14
8888
13
en
jalali
1401
8
1
gregorian
2022
11
1
12
4
online
1
fulltext
en
Comparing Genetic Information of Severe Acute Respiratory Syndrome Corona Virus 2 and SARS CoV and Middle East Respiratory Syndrome Corona Viruses; A Review Study
ژنتيك عمومي
Genetics
مروری
Review
<h1 style="text-align: justify;"><span style="font-size:11pt"><span style="line-height:normal"><span style="unicode-bidi:embed"><span style="font-family:Calibri,sans-serif"><b><i><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">Background & Objective:</span></span></i></b><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times=""> The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a global infection and a continuing pandemic. Symptoms have been associated with age, biological sex, and other previous present health situations. </span></span></span></span></span></span><br>
<span style="font-size:11pt"><span style="line-height:normal"><span style="unicode-bidi:embed"><span style="font-family:Calibri,sans-serif"><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">The aim of this study was to make a genetic comparison between the SARS-CoV-2, SARS-CoV, and Middle East Respiratory Syndrome (MERS)-CoV using phylogenetic methods.</span></span></span></span></span></span><br>
<span style="font-size:11pt"><span style="line-height:normal"><span style="unicode-bidi:embed"><span style="font-family:Calibri,sans-serif"><b><i><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">Materials & Methods:</span></span></i></b><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times=""> In this review study, previously published papers were collected from 2010 to 2020 using electronic sources in reliable databases such as Scopus, PubMed, ISI, Google Scholar, and Science Direct. Then, we performed the bioinformatics study. For sequences alignment, analysis, and phylogenetic construction, all sequences from SARS-CoV-2, SARS-CoV, and MERS-CoV were obtained from the GeneBank database.</span></span></span></span></span></span><br>
<span style="font-size:11pt"><span style="line-height:normal"><span style="unicode-bidi:embed"><span style="font-family:Calibri,sans-serif"><b><i><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">Results:</span></span></i></b><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times=""> Eighty percent of SARS-CoV and 50% of MERS-CoV RNA sequences shared with SARS-CoV-2 RNA and SARS-CoV-2 show additional genomic regions. The phylogenetic analysis of the full-length genome sequence shows that SARS-CoV-2 has the highest similarity with SARS-CoV, but it has a lower similarity with MERS-CoV. Considering the close relationship between SARS-2 and SARS, the examination of the amino-corrosive translocation of completely different proteins may prove that there are fundamental and utilitarian differences between SARS-2 and SARS.</span></span></span></span></span></span><br>
<span style="font-size:11pt"><span style="line-height:normal"><span style="unicode-bidi:embed"><span style="font-family:Calibri,sans-serif"><b><i><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">Conclusion:</span></span></i></b><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times=""> Although COVID-19 pathogenicity is not well known, MERS-CoV and SARS-CoV pathogenesis still can be the best source of COVID-19 information. The global effect of this new epidemic is yet uncertain. So, analyzing genome sequencing is important for epidemiological, clinical, and experimental studies.</span></span></span></span></span></span></h1>
<div style="text-align: justify;"></div>
Coronavirus genome, MERS-CoV, SARS-CoV, SARS-CoV-2, Phylogenic tree, COVID-19
355
366
http://jabs.fums.ac.ir/browse.php?a_code=A-10-1561-2&slc_lang=en&sid=1
Niloofar
Agharezaee
نیلوفر
آقارضایی
n.agharezaee@ut.ac.ir
100319475328460026932
100319475328460026932
No
Department of BioInformatics, Kish International Campus, University of Tehran, Kish, Iran
گروه بیوانفورماتیک، پردیس بین المللی کیش، دانشگاه تهران، کیش، ایران
Flora
Forouzesh
فلورا
فروزش
f8forouzesh@gmail.com
100319475328460026933
100319475328460026933
Yes
Department of Genetics, School of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
گروه ژنتیک، دانشکده علوم و فناوری پیشرفته، علوم پزشکی تهران، دانشگاه آزاد اسلامی، تهران، ایران