The Prediction of miRNAs in SARS-CoV-2 Genomes: hsa-miR Databases Identify 7 Key miRs Linked to Host Responses and Virus Pathogenicity-Related KEGG Pathways Significant for Comorbidities

被引:89
作者
Arisan, Elif Damla [1 ]
Dart, Alwyn [2 ]
Grant, Guy H. [3 ]
Arisan, Serdar [4 ]
Cuhadaroglu, Songul [5 ]
Lange, Sigrun [6 ]
Uysal-Onganer, Pinar [7 ]
机构
[1] Gebze Tech Univ, Inst Biotechnol, TR-41400 Kocaeli, Turkey
[2] St Georges Univ London, Inst Med & Biomed Educ, Cranmer Terrace, London SW17 0RE, England
[3] Univ Bedfordshire, Sch Life Sci, Pk Sq, Luton LU1 3JU, Beds, England
[4] Sisli Hamidiye Etfal Res & Training Hosp, Dept Urol, TR-34360 Istanbul, Turkey
[5] Mem Hosp Sisli, Thorac Surg Clin, Kaptanpasa Mah Piyalepasa Bulvari, TR-434385 Istanbul, Turkey
[6] Univ Westminster, Tissue Architecture & Regenerat Res Grp, Sch Life Sci, London W1W 6UW, England
[7] Univ Westminster, Canc Res Grp, Sch Life Sci, London W1W 6UW, England
来源
VIRUSES-BASEL | 2020年 / 12卷 / 06期
关键词
COVID-19; SARS-CoV-2; coronavirus; microRNAs (miRs 8066; 5197; 3611; 3934-3p; 1307-3p; 3691-3p; 1468-5p); viral pathogenesis; cell signalling pathways; comorbidities; CELL-PROLIFERATION; HEPARAN-SULFATE; MICRORNAS; EXPRESSION; RNA; INFECTION; MORPHINE; CANCER; IDENTIFICATION; GLYCOSYLATION;
D O I
10.3390/v12060614
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a member of thebetacoronavirusfamily, which causes COVID-19 disease. SARS-CoV-2 pathogenicity in humans leads to increased mortality rates due to alterations of significant pathways, including some resulting in exacerbated inflammatory responses linked to the "cytokine storm" and extensive lung pathology, as well as being linked to a number of comorbidities. Our current study compared five SARS-CoV-2 sequences from different geographical regions to those from SARS, MERS and two cold viruses, OC43 and 229E, to identify the presence of miR-like sequences. We identified seven key miRs, which highlight considerable differences between the SARS-CoV-2 sequences, compared with the other viruses. The level of conservation between the five SARS-CoV-2 sequences was identical but poor compared with the other sequences, with SARS showing the highest degree of conservation. This decrease in similarity could result in reduced levels of transcriptional control, as well as a change in the physiological effect of the virus and associated host-pathogen responses. MERS and the milder symptom viruses showed greater differences and even significant sequence gaps. This divergence away from the SARS-CoV-2 sequences broadly mirrors the phylogenetic relationships obtained from the whole-genome alignments. Therefore, patterns of mutation, occurring during sequence divergence from the longer established human viruses to the more recent ones, may have led to the emergence of sequence motifs that can be related directly to the pathogenicity of SARS-CoV-2. Importantly, we identified 7 key-microRNAs (miRs 8066, 5197, 3611, 3934-3p, 1307-3p, 3691-3p, 1468-5p) with significant links to KEGG pathways linked to viral pathogenicity and host responses. According to Bioproject data (PRJNA615032), SARS-CoV-2 mediated transcriptomic alterations were similar to the target pathways of the selected 7 miRs identified in our study. This mechanism could have considerable significance in determining the symptom spectrum of future potential pandemics. KEGG pathway analysis revealed a number of critical pathways linked to the seven identified miRs that may provide insight into the interplay between the virus and comorbidities. Based on our reported findings, miRNAs may constitute potential and effective therapeutic approaches in COVID-19 and its pathological consequences.
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页数:27
相关论文
共 118 条
[1]  
Akimniyazova A., 2020, RES SQ, P1, DOI [10.21203/rs.3.rs-20476/v2, DOI 10.21203/RS.3.RS-19592/V1]
[2]   TGF-β signaling is dynamically regulated during the alveolarization of rodent human lungs [J].
Alejandre-Alcazar, Miguel A. ;
Michiels-Corsten, Matthias ;
Vicencio, Alfin G. ;
Reiss, Irwin ;
Ryu, Julie ;
de Krijger, Ronald R. ;
Haddad, Gabriel G. ;
Tibboel, Dick ;
Seeger, Werner ;
Eickelberg, Oliver ;
Morty, Rory E. .
DEVELOPMENTAL DYNAMICS, 2008, 237 (01) :259-269
[3]  
Alexa A, 2021, R Pack Vers
[4]   HTSeq-a Python']Python framework to work with high-throughput sequencing data [J].
Anders, Simon ;
Pyl, Paul Theodor ;
Huber, Wolfgang .
BIOINFORMATICS, 2015, 31 (02) :166-169
[5]  
Andrews S., 2010, FastQC, DOI DOI 10.1186/1472-6963-10-122
[6]   MicroRNAs: Genomics, biogenesis, mechanism, and function (Reprinted from Cell, vol 116, pg 281-297, 2004) [J].
Bartel, David P. .
CELL, 2007, 131 (04) :11-29
[7]   HIV-1 TAR RNA subverts RNA interference in transfected cells through sequestration of TAR RNA-binding protein, TRBP [J].
Bennasser, Yamina ;
Yeung, Man Lung ;
Jeang, Kuan-Teh .
JOURNAL OF BIOLOGICAL CHEMISTRY, 2006, 281 (38) :27674-27678
[8]   Viruses and miRNAs: More Friends than Foes [J].
Bruscella, Patrice ;
Bottini, Silvia ;
Baudesson, Camille ;
Pawlotsky, Jean-Michel ;
Feray, Cyrille ;
Trabucchi, Michele .
FRONTIERS IN MICROBIOLOGY, 2017, 8
[9]   Circulating Plasma microRNAs can differentiate Human Sepsis and Systemic Inflammatory Response Syndrome (SIRS) [J].
Caserta, Stefano ;
Kern, Florian ;
Cohen, Jonathan ;
Drage, Stephen ;
Newbury, Sarah F. ;
Llewelyn, Martin J. .
SCIENTIFIC REPORTS, 2016, 6
[10]   Genomics functional analysis and drug screening of SARS-CoV-2 [J].
Chen, Long ;
Zhong, Li .
GENES & DISEASES, 2020, 7 (04) :542-550