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Hatirnaz Ng O, Akyoney S, Sahin I, Soykam HO, Bayram Akcapinar G, Ozdemir O, Kancagi DD, Sir Karakus G, Yurtsever B, Kocagoz AS, Ovali E, Ozbek U. Mutational landscape of SARS-CoV-2 genome in Turkey and impact of mutations on spike protein structure. PLoS One 2021; 16:e0260438. [PMID: 34871297 PMCID: PMC8648120 DOI: 10.1371/journal.pone.0260438] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 11/10/2021] [Indexed: 12/11/2022] Open
Abstract
The Coronavirus Disease 2019 (COVID-19) was declared a pandemic in March 2020 by the World Health Organization (WHO). As of May 25th, 2021 there were 2.059.941 SARS-COV2 genome sequences that have been submitted to the GISAID database, with numerous variations. Here, we aim to analyze the SARS-CoV-2 genome data submitted to the GISAID database from Turkey and to determine the variant and clade distributions by the end of May 2021, in accordance with their appearance timeline. We compared these findings to USA, Europe, and Asia data as well. We have also evaluated the effects of spike protein variations, detected in a group of genome sequences of 13 patients who applied to our clinic, by using 3D modeling algorithms. For this purpose, we analyzed 4607 SARS-CoV-2 genome sequences submitted by different lab centers from Turkey to the GISAID database between March 2020 and May 2021. Described mutations were also introduced in silico to the spike protein structure to analyze their isolated impacts on the protein structure. The most abundant clade was GR followed by G, GH, and GRY and we did not detect any V clade. The most common variant was B.1, followed by B.1.1, and the UK variant, B.1.1.7. Our results clearly show a concordance between the variant distributions, the number of cases, and the timelines of different variant accumulations in Turkey. The 3D simulations indicate an increase in the surface hydrophilicity of the reference spike protein and the detected mutations. There was less surface hydrophilicity increase in the Asp614Gly mutation, which exhibits a more compact conformation around the ACE-2 receptor binding domain region, rendering the structure in a “down” conformation. Our genomic findings can help to model vaccination programs and protein modeling may lead to different approaches for COVID-19 treatment strategies.
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Affiliation(s)
- Ozden Hatirnaz Ng
- Department of Medical Biology, Acibadem Mehmet Ali Aydinlar University School of Medicine, Istanbul, Turkey
- Acibadem Mehmet Ali Aydinlar University Rare Diseases and Orphan Drugs Application and Research Center (ACURARE), Istanbul, Turkey
| | - Sezer Akyoney
- Department of Medical Biology, Acibadem Mehmet Ali Aydinlar University School of Medicine, Istanbul, Turkey
- Department of Biostatistics and Bioinformatics, Institute of Health Sciences, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | - Ilayda Sahin
- Department of Medical Biotechnology, Institute of Health Sciences, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
- Department of Medical Genetics, Acibadem Mehmet Ali Aydinlar University School of Medicine, Istanbul, Turkey
| | - Huseyin Okan Soykam
- Department of Biostatistics and Bioinformatics, Institute of Health Sciences, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | - Gunseli Bayram Akcapinar
- Department of Medical Biotechnology, Institute of Health Sciences, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | - Ozkan Ozdemir
- Acibadem Mehmet Ali Aydinlar University Rare Diseases and Orphan Drugs Application and Research Center (ACURARE), Istanbul, Turkey
- Department of Genome Studies, Institute of Health Sciences, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | | | | | - Bulut Yurtsever
- Acibadem Labcell Cellular Therapy Laboratory, Istanbul, Turkey
| | - Ayse Sesin Kocagoz
- Department of Infectious Diseases and Clinical Microbiology, Acibadem Mehmet Ali Aydinlar University School of Medicine, Istanbul, Turkey
| | - Ercument Ovali
- Acibadem Labcell Cellular Therapy Laboratory, Istanbul, Turkey
| | - Ugur Ozbek
- Acibadem Mehmet Ali Aydinlar University Rare Diseases and Orphan Drugs Application and Research Center (ACURARE), Istanbul, Turkey
- Department of Medical Genetics, Acibadem Mehmet Ali Aydinlar University School of Medicine, Istanbul, Turkey
- * E-mail:
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Di Pasquale A, Radomski N, Mangone I, Calistri P, Lorusso A, Cammà C. SARS-CoV-2 surveillance in Italy through phylogenomic inferences based on Hamming distances derived from pan-SNPs, -MNPs and -InDels. BMC Genomics 2021; 22:782. [PMID: 34717546 PMCID: PMC8556844 DOI: 10.1186/s12864-021-08112-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 10/20/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Faced with the ongoing global pandemic of coronavirus disease, the 'National Reference Centre for Whole Genome Sequencing of microbial pathogens: database and bioinformatic analysis' (GENPAT) formally established at the 'Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise' (IZSAM) in Teramo (Italy) is in charge of the SARS-CoV-2 surveillance at the genomic scale. In a context of SARS-CoV-2 surveillance requiring correct and fast assessment of epidemiological clusters from substantial amount of samples, the present study proposes an analytical workflow for identifying accurately the PANGO lineages of SARS-CoV-2 samples and building of discriminant minimum spanning trees (MST) bypassing the usual time consuming phylogenomic inferences based on multiple sequence alignment (MSA) and substitution model. RESULTS GENPAT constituted two collections of SARS-CoV-2 samples. The first collection consisted of SARS-CoV-2 positive swabs collected by IZSAM from the Abruzzo region (Italy), then sequenced by next generation sequencing (NGS) and analyzed in GENPAT (n = 1592), while the second collection included samples from several Italian provinces and retrieved from the reference Global Initiative on Sharing All Influenza Data (GISAID) (n = 17,201). The main results of the present work showed that (i) GENPAT and GISAID detected the same PANGO lineages, (ii) the PANGO lineages B.1.177 (i.e. historical in Italy) and B.1.1.7 (i.e. 'UK variant') are major concerns today in several Italian provinces, and the new MST-based method (iii) clusters most of the PANGO lineages together, (iv) with a higher dicriminatory power than PANGO lineages, (v) and faster that the usual phylogenomic methods based on MSA and substitution model. CONCLUSIONS The genome sequencing efforts of Italian provinces, combined with a structured national system of NGS data management, provided support for surveillance SARS-CoV-2 in Italy. We propose to build phylogenomic trees of SARS-CoV-2 variants through an accurate, discriminant and fast MST-based method avoiding the typical time consuming steps related to MSA and substitution model-based phylogenomic inference.
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Affiliation(s)
- Adriano Di Pasquale
- National Reference Centre (NRC) for Whole Genome Sequencing of microbial pathogens: data-base and bioinformatics analysis (GENPAT), Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise “Giuseppe Caporale” (IZSAM), via Campo Boario, 64100 Teramo, TE Italy
| | - Nicolas Radomski
- National Reference Centre (NRC) for Whole Genome Sequencing of microbial pathogens: data-base and bioinformatics analysis (GENPAT), Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise “Giuseppe Caporale” (IZSAM), via Campo Boario, 64100 Teramo, TE Italy
| | - Iolanda Mangone
- National Reference Centre (NRC) for Whole Genome Sequencing of microbial pathogens: data-base and bioinformatics analysis (GENPAT), Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise “Giuseppe Caporale” (IZSAM), via Campo Boario, 64100 Teramo, TE Italy
| | - Paolo Calistri
- National Reference Centre (NRC) for Whole Genome Sequencing of microbial pathogens: data-base and bioinformatics analysis (GENPAT), Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise “Giuseppe Caporale” (IZSAM), via Campo Boario, 64100 Teramo, TE Italy
| | - Alessio Lorusso
- National Reference Centre (NRC) for Whole Genome Sequencing of microbial pathogens: data-base and bioinformatics analysis (GENPAT), Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise “Giuseppe Caporale” (IZSAM), via Campo Boario, 64100 Teramo, TE Italy
| | - Cesare Cammà
- National Reference Centre (NRC) for Whole Genome Sequencing of microbial pathogens: data-base and bioinformatics analysis (GENPAT), Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise “Giuseppe Caporale” (IZSAM), via Campo Boario, 64100 Teramo, TE Italy
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Tasbent FE, Özdemir M, Akcan ÖM, Kurt EK. SARS-CoV-2 Genome Analysis of Pediatric Patients in Konya Region, Turkey. J PEDIAT INF DIS-GER 2021. [DOI: 10.1055/s-0041-1736561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Abstract
Objective Genome sequencing is useful for following the change in mutation and variants in viral agent during pandemics. In this study, we performed next-generation sequencing of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) complete genomes on pediatric patients.
Methods Six pediatric patients aged 0 to 18 years who were positive for SARS-CoV-2 by reverse transcription polymerase chain reaction were included in this study. SARS-CoV-2 genome sequencing was performed using Oxford Nanopore Technologies MinION, following the ARTIC Network protocols. Sequencing data were obtained using the FASTQ program and quality assessment was evaluated. The sequence information of all samples was uploaded to the Global Initiative on Sharing All Influenza Data (GISAID) database. Genome, variant, clade, and phylogenetic tree analyses were performed with bioinformatic analysis.
Results Two of these six samples were at 20A, two were at 20B, and two were at 19A in the nextstrain clade. According to Pango lineages, B.1.36, B.1.218, B.1, and B.1.260 lineages were detected. A total of 84 mutations were observed in all samples. None of the variants were classified as variants of concern (VOC) nor variants of interest (VOI) according to the Pango database.
Conclusion This study is the first comprehensively sequence analysis registered in the GISAID database reported from the Konya region in Turkey. Similar studies will be informative to track changes in the virus genome, obtain epidemiological data, guide studies on diagnosis and treatment, and evaluate vaccine efficacy.
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Affiliation(s)
- Fatma Esenkaya Tasbent
- Department of Medical Microbiology, Meram Faculty of Medicine, Necmettin Erbakan University, Konya, Turkey
| | - Mehmet Özdemir
- Department of Medical Microbiology, Division of Medical Virology, Meram Faculty of Medicine, Necmettin Erbakan University, Konya, Turkey
| | - Özge M. Akcan
- Department of Pediatric Infectious Diseases, Meram Faculty of Medicine, Necmettin Erbakan University, Konya, Turkey
| | - Esma K. Kurt
- Department of Infectious Diseases and Clinical Microbiology, Meram Faculty of Medicine, Necmettin Erbakan University, Konya, Turkey
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Sahin E, Bozdayi G, Yigit S, Muftah H, Dizbay M, Tunccan OG, Fidan I, Caglar K. Genomic characterization of SARS-CoV-2 isolates from patients in Turkey reveals the presence of novel mutations in spike and nsp12 proteins. J Med Virol 2021; 93:6016-6026. [PMID: 34241906 PMCID: PMC8426744 DOI: 10.1002/jmv.27188] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 07/06/2021] [Indexed: 12/29/2022]
Abstract
Novel mutations have been emerging in the genome of severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2); consequently, the evolving of more virulent and treatment resistance strains have the potential to increase transmissibility and mortality rates. The characterization of full-length SARS-CoV-2 genomes is critical for understanding the origin and transmission pathways of the virus, as well as identifying mutations that affect the transmissibility and pathogenicity of the virus. We present an analysis of the mutation pattern and clade distribution of full-length SARS-CoV-2 genome sequences obtained from specimens tested at Gazi University Medical Virology Laboratory. Viral RNA was extracted from nasopharyngeal specimens. Next-generation sequencing libraries were prepared and sequenced on Illumina iSeq 100 platform. Raw sequencing data were processed to obtain full-length genome sequences and variant calling was performed to analyze amino acid changes. Clade distribution was determined to understand the phylogenetic background in relation to global data. A total of 293 distinct mutations were identified, of which 152 missense, 124 synonymous, 12 noncoding, and 5 deletions. The most frequent mutations were P323L (nsp12), D614G (ORF2/S), and 2421C>T (5'-untranslated region) found simultaneously in all sequences. Novel mutations were found in nsp12 (V111A, H133R, Y453C, M626K) and ORF2/S (R995G, V1068L). Nine different Pangolin lineages were detected. The most frequently assigned lineage was B.1.1 (17 sequences), followed by B.1 (7 sequences) and B.1.1.36 (3 sequences). Sequence information is essential for revealing genomic diversity. Mutations might have significant functional implications and analysis of these mutations provides valuable information for therapeutic and vaccine development studies. Our findings point to the introduction of the virus into Turkey through various sources and the subsequent spread of several key variants.
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Affiliation(s)
- Erdem Sahin
- Division of Medical Virology, Department of Medical Microbiology, Faculty of MedicineGazi UniversityAnkaraTurkey
| | - Gulendam Bozdayi
- Division of Medical Virology, Department of Medical Microbiology, Faculty of MedicineGazi UniversityAnkaraTurkey
| | - Selin Yigit
- Division of Medical Virology, Department of Medical Microbiology, Faculty of MedicineGazi UniversityAnkaraTurkey
| | - Hager Muftah
- Division of Medical Virology, Department of Medical Microbiology, Faculty of MedicineGazi UniversityAnkaraTurkey
| | - Murat Dizbay
- Department of Infectious Diseases and Medical Microbiology, Faculty of MedicineGazi UniversityAnkaraTurkey
| | - Ozlem G. Tunccan
- Department of Infectious Diseases and Medical Microbiology, Faculty of MedicineGazi UniversityAnkaraTurkey
| | - Isil Fidan
- Division of Medical Virology, Department of Medical Microbiology, Faculty of MedicineGazi UniversityAnkaraTurkey
| | - Kayhan Caglar
- Division of Medical Virology, Department of Medical Microbiology, Faculty of MedicineGazi UniversityAnkaraTurkey
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Kahraman F, Özkara A. COVID-19 transmission sources, management, and scientific research in Turkey. Turk J Med Sci 2021; 51:873-874. [PMID: 33021757 PMCID: PMC8203152 DOI: 10.3906/sag-2009-159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 10/06/2020] [Indexed: 12/03/2022] Open
Affiliation(s)
- Fatih Kahraman
- Department of Cardiology, Kütahya Evliya Çelebi Research and Training Hospital, Kütahya, Turkey
| | - Adem Özkara
- Department of Family Medicine, University of Health Sciences, Ankara City Hospital, Ankara, Turkey
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Knyazev S, Chhugani K, Sarwal V, Ayyala R, Singh H, Karthikeyan S, Deshpande D, Comarova Z, Lu A, Porozov Y, Wu A, Abedalthagafi MS, Nagaraj SH, Smith AL, Skums P, Ladner J, Lam TTY, Wu NC, Zelikovsky A, Knight R, Crandall KA, Mangul S. Unlocking capacities of viral genomics for the COVID-19 pandemic response. ARXIV 2021:arXiv:2104.14005v3. [PMID: 33948451 PMCID: PMC8095210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Revised: 06/04/2021] [Indexed: 12/25/2022]
Abstract
More than any other infectious disease epidemic, the COVID-19 pandemic has been characterized by the generation of large volumes of viral genomic data at an incredible pace due to recent advances in high-throughput sequencing technologies, the rapid global spread of SARS-CoV-2, and its persistent threat to public health. However, distinguishing the most epidemiologically relevant information encoded in these vast amounts of data requires substantial effort across the research and public health communities. Studies of SARS-CoV-2 genomes have been critical in tracking the spread of variants and understanding its epidemic dynamics, and may prove crucial for controlling future epidemics and alleviating significant public health burdens. Together, genomic data and bioinformatics methods enable broad-scale investigations of the spread of SARS-CoV-2 at the local, national, and global scales and allow researchers the ability to efficiently track the emergence of novel variants, reconstruct epidemic dynamics, and provide important insights into drug and vaccine development and disease control. Here, we discuss the tremendous opportunities that genomics offers to unlock the effective use of SARS-CoV-2 genomic data for efficient public health surveillance and guiding timely responses to COVID-19.
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Affiliation(s)
- Sergey Knyazev
- Department of Computer Science, College of Art and Science, Georgia State University, 1 Park Place, Room 618, Atlanta, GA 30303, USA
| | - Karishma Chhugani
- Department of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California, 1985 Zonal Avenue, Room 713. Los Angeles, CA 90089, USA
| | - Varuni Sarwal
- Department of Computer Science, University of California Los Angeles, 580 Portola Plaza, Los Angeles, CA 90095, USA
| | - Ram Ayyala
- Department of Neuroscience, College of Life Sciences, University of California Los Angeles, 580 Portola Plaza, Los Angeles, CA 90095, USA
| | - Harman Singh
- Department of Electrical Engineering, Indian Institute of Technology, Hauz Khas, New Delhi, 110016, India
| | - Smruthi Karthikeyan
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Dhrithi Deshpande
- Department of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California, 1985 Zonal Avenue, Room 713. Los Angeles, CA 90089, USA
| | - Zoia Comarova
- Paradigm Environmental, 3911 Old Lee Highway, Fairfax, VA 22030
| | - Angela Lu
- Department of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California, 1985 Zonal Avenue, Room 713. Los Angeles, CA 90089-9121, USA
| | - Yuri Porozov
- World-Class Research Center "Digital biodesign and personalized healthcare", I.M. Sechenov First Moscow State Medical University, Moscow, Russia
- Department of Computational Biology, Sirius University of Science and Technology, Sochi, Russia
| | - Aiping Wu
- Center for Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100005, China
- Suzhou Institute of Systems Medicine, Suzhou, 215123, China
| | - Malak S Abedalthagafi
- Genomics Research Department, Saudi Human Genome Project, King Fahad Medical City and King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Shivashankar H Nagaraj
- Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, QLD 4059, Australia
- Translational Research Institute, Brisbane, Australia
| | - Adam L Smith
- Astani Department of Civil and Environmental Engineering, University of Southern California, 3620 South Vermont Avenue, Los Angeles, CA 90089
| | - Pavel Skums
- Department of Computer Science, College of Art and Science, Georgia State University, 1 Park Place, Floor 6, Atlanta, GA 30303, USA
| | - Jason Ladner
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ 86011
| | - Tommy Tsan-Yuk Lam
- State Key Laboratory of Emerging Infectious Diseases, School of Public Health, The University of Hong Kong
| | - Nicholas C Wu
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Alex Zelikovsky
- Department of Computer Science, College of Art and Science, Georgia State University, 1 Park Place, Floor 6, Atlanta, GA 30303, USA
- The Laboratory of Bioinformatics, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia
| | - Rob Knight
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
- Department of Computer Science & Engineering, University of California, San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA
| | - Keith A Crandall
- Computational Biology Institute and Department of Biostatistics & Bioinformatics, Milken Institute School of Public Health, George Washington University, Washington, DC 20052
| | - Serghei Mangul
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, 1540 Alcazar Street, Los Angeles, CA 90033, USA
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Azgari C, Kilinc Z, Turhan B, Circi D, Adebali O. The Mutation Profile of SARS-CoV-2 Is Primarily Shaped by the Host Antiviral Defense. Viruses 2021; 13:394. [PMID: 33801257 PMCID: PMC7999997 DOI: 10.3390/v13030394] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 02/23/2021] [Accepted: 02/24/2021] [Indexed: 12/12/2022] Open
Abstract
Understanding SARS-CoV-2 evolution is a fundamental effort in coping with the COVID-19 pandemic. The virus genomes have been broadly evolving due to the high number of infected hosts world-wide. Mutagenesis and selection are two inter-dependent mechanisms of virus diversification. However, which mechanisms contribute to the mutation profiles of SARS-CoV-2 remain under-explored. Here, we delineate the contribution of mutagenesis and selection to the genome diversity of SARS-CoV-2 isolates. We generated a comprehensive phylogenetic tree with representative genomes. Instead of counting mutations relative to the reference genome, we identified each mutation event at the nodes of the phylogenetic tree. With this approach, we obtained the mutation events that are independent of each other and generated the mutation profile of SARS-CoV-2 genomes. The results suggest that the heterogeneous mutation patterns are mainly reflections of host (i) antiviral mechanisms that are achieved through APOBEC, ADAR, and ZAP proteins, and (ii) probable adaptation against reactive oxygen species.
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Affiliation(s)
| | | | | | | | - Ogun Adebali
- Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey; (C.A.); (Z.K.); (B.T.); (D.C.)
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Hong J, Jhun H, Choi YO, Taitt AS, Bae S, Lee Y, Song CS, Yeom SC, Kim S. Structure of SARS-CoV-2 Spike Glycoprotein for Therapeutic and Preventive Target. Immune Netw 2021; 21:e8. [PMID: 33728101 PMCID: PMC7937506 DOI: 10.4110/in.2021.21.e8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 02/08/2021] [Accepted: 02/14/2021] [Indexed: 12/14/2022] Open
Abstract
The global crisis caused by the coronavirus disease 2019 (COVID-19) led to the most significant economic loss and human deaths after World War II. The pathogen causing this disease is a novel virus called the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As of December 2020, there have been 80.2 million confirmed patients, and the mortality rate is known as 2.16% globally. A strategy to protect a host from SARS-CoV-2 is by suppressing intracellular viral replication or preventing viral entry. We focused on the spike glycoprotein that is responsible for the entry of SARS-CoV-2 into the host cell. Recently, the US Food and Drug Administration/EU Medicines Agency authorized a vaccine and antibody to treat COVID-19 patients by emergency use approval in the absence of long-term clinical trials. Both commercial and academic efforts to develop preventive and therapeutic agents continue all over the world. In this review, we present a perspective on current reports about the spike glycoprotein of SARS-CoV-2 as a therapeutic target.
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Affiliation(s)
- Jaewoo Hong
- Department of Physiology, Daegu Catholic University School of Medicine, Daegu 42472, Korea
- Laboratory of Cancer Immunometabolism, National Cancer Institute, Frederick, MD 21702, USA
| | - Hyunjhung Jhun
- Technical Assistance Center, Korea Food Research Institute, Wanju 55365, Korea
| | - Yeo-Ok Choi
- Laboratory of Cytokine Immunology, Department of Biomedical Science and Technology, Konkuk University, Seoul 05029, Korea
| | - Afeisha S. Taitt
- Laboratory of Cytokine Immunology, Department of Biomedical Science and Technology, Konkuk University, Seoul 05029, Korea
| | - Suyoung Bae
- Department of Bioequivalence Division for Drug Evaluation, Ministry of Food and Drug Safety, Cheongju 28159, Korea
| | - Youngmin Lee
- Department of Medicine, Pusan Paik Hospital, College of Medicine, Inje University, Busan 47392, Korea
| | - Chang-seon Song
- College of Veterinary Medicine, Konkuk University, Seoul 05029, Korea
| | - Su Cheong Yeom
- Graduate School of International Agricultural Technology, Seoul National University, Pyeongchang 25354, Korea
| | - Soohyun Kim
- Laboratory of Cytokine Immunology, Department of Biomedical Science and Technology, Konkuk University, Seoul 05029, Korea
- College of Veterinary Medicine, Konkuk University, Seoul 05029, Korea
- Veterinary Science Research Institute, Konkuk University, Seoul 05029, Korea
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9
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Turakhia Y, De Maio N, Thornlow B, Gozashti L, Lanfear R, Walker CR, Hinrichs AS, Fernandes JD, Borges R, Slodkowicz G, Weilguny L, Haussler D, Goldman N, Corbett-Detig R. Stability of SARS-CoV-2 phylogenies. PLoS Genet 2020; 16:e1009175. [PMID: 33206635 PMCID: PMC7721162 DOI: 10.1371/journal.pgen.1009175] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 12/07/2020] [Accepted: 10/06/2020] [Indexed: 12/23/2022] Open
Abstract
The SARS-CoV-2 pandemic has led to unprecedented, nearly real-time genetic tracing due to the rapid community sequencing response. Researchers immediately leveraged these data to infer the evolutionary relationships among viral samples and to study key biological questions, including whether host viral genome editing and recombination are features of SARS-CoV-2 evolution. This global sequencing effort is inherently decentralized and must rely on data collected by many labs using a wide variety of molecular and bioinformatic techniques. There is thus a strong possibility that systematic errors associated with lab-or protocol-specific practices affect some sequences in the repositories. We find that some recurrent mutations in reported SARS-CoV-2 genome sequences have been observed predominantly or exclusively by single labs, co-localize with commonly used primer binding sites and are more likely to affect the protein-coding sequences than other similarly recurrent mutations. We show that their inclusion can affect phylogenetic inference on scales relevant to local lineage tracing, and make it appear as though there has been an excess of recurrent mutation or recombination among viral lineages. We suggest how samples can be screened and problematic variants removed, and we plan to regularly inform the scientific community with our updated results as more SARS-CoV-2 genome sequences are shared (https://virological.org/t/issues-with-sars-cov-2-sequencing-data/473 and https://virological.org/t/masking-strategies-for-sars-cov-2-alignments/480). We also develop tools for comparing and visualizing differences among very large phylogenies and we show that consistent clade- and tree-based comparisons can be made between phylogenies produced by different groups. These will facilitate evolutionary inferences and comparisons among phylogenies produced for a wide array of purposes. Building on the SARS-CoV-2 Genome Browser at UCSC, we present a toolkit to compare, analyze and combine SARS-CoV-2 phylogenies, find and remove potential sequencing errors and establish a widely shared, stable clade structure for a more accurate scientific inference and discourse.
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Affiliation(s)
- Yatish Turakhia
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, United States of America
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, United States of America
| | - Nicola De Maio
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, United Kingdom
| | - Bryan Thornlow
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, United States of America
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, United States of America
| | - Landen Gozashti
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, United States of America
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, United States of America
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, United States of America
| | - Robert Lanfear
- Department of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, ACT, Australia
| | - Conor R. Walker
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, United Kingdom
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
| | - Angie S. Hinrichs
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, United States of America
| | - Jason D. Fernandes
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, United States of America
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, United States of America
- Howard Hughes Medical Institute, University of California, Santa Cruz, CA, United States of America
| | - Rui Borges
- Institut für Populationsgenetik, Vetmeduni Vienna, Wien, Austria
| | - Greg Slodkowicz
- MRC Laboratory of Molecular Biology, Cambridge, United Kingdom
| | - Lukas Weilguny
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, United Kingdom
| | - David Haussler
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, United States of America
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, United States of America
- Howard Hughes Medical Institute, University of California, Santa Cruz, CA, United States of America
| | - Nick Goldman
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, United Kingdom
| | - Russell Corbett-Detig
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, United States of America
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, United States of America
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10
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Durmaz B, Abdulmajed O, Durmaz R. Mutations Observed in the SARS-CoV-2 Spike Glycoprotein and Their Effects in the Interaction of Virus with ACE-2 Receptor. Medeni Med J 2020; 35:253-260. [PMID: 33110678 PMCID: PMC7584268 DOI: 10.5222/mmj.2020.98048] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 07/15/2020] [Indexed: 01/08/2023] Open
Abstract
Coronaviruses (CoVs) classified in the Coronaviridae family infect a very large spectrum of vertebrate group. Seven CoVs that cause human disease consist of Alpha-CoVs, which are HCoV-229E, and NL63 and beta-CoVs, which are MERS-CoV, SARS-CoV, HCoV-OC43, HCoV-HKU1, and SARS-CoV-2. SARS-CoV-2 is an enveloped, positive-polarity, single-stranded RNA virus responsible for a new Coronavirus disease 2019 (COVID-19). The mutagenic ability of the SARS-CoV-2 directs its evolution and genome variability, thus allowing viruses to escape from host immunity and develop drug resistance. Tracing viral mutations is also important for the development of new vaccines, antiviral drugs, and diagnostic systems. During replication in the host cell, genomic mutations occur in the virus and these mutations are transferred to new generations. For this reason, systematic monitoring of mutations in the SARS-CoV-2 genome allows observation of the national and international molecular epidemiology of the virus. SARS-CoV-2 spike (S) glycoprotein is vital in the binding of the virus to the host cell receptor that is angiotensin converting-enzyme 2 (ACE2), membrane fusion, vaccine studies and immune response to the virus. Therefore, mutations in the gene encoding the S glycoprotein and especially the possible variations in the receptor binding domain (RBD) in S gene are important issues to be emphasized. In this article, information about the mutations observed in the SARS-CoV-2 S glycoprotein and their possible effects are presented.
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Affiliation(s)
- Bengül Durmaz
- Yuksek Ihtisas University, Faculty of Medicine, Department of Medical Microbiology, Ankara, Turkey
| | - Olkar Abdulmajed
- Yuksek Ihtisas University, Faculty of Medicine, Department of Medical Microbiology, Ankara, Turkey
| | - Rıza Durmaz
- Ankara Yıldırım Beyazıt University, Faculty of Medicine, Department of Medical Microbiology, Ankara, Turkey
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11
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Hanifehnezhad A, Kehribar EŞ, Öztop S, Sheraz A, Kasırga S, Ergünay K, Önder S, Yılmaz E, Engin D, Oğuzoğlu TÇ, Şeker UÖŞ, Yılmaz E, Özkul A. Characterization of local SARS-CoV-2 isolates and pathogenicity in IFNAR -/- mice. Heliyon 2020; 6:e05116. [PMID: 33015402 PMCID: PMC7522675 DOI: 10.1016/j.heliyon.2020.e05116] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 08/20/2020] [Accepted: 09/25/2020] [Indexed: 01/15/2023] Open
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) recently a global pandemic with unprecedented public health, economic and social impact. The development of effective mitigation strategies, therapeutics and vaccines relies on detailed genomic and biological characterization of the regional viruses. This study was carried out to isolate SARS-CoV-2 viruses circulating in Anatolia, and to investigate virus propagation in frequently-used cells and experimental animals. We obtained two SARS-CoV-2 viruses from nasopharngeal swabs of confirmed cases in Vero E6 cells, visualized the virions using atomic force and scanning electron microscopy and determined size distribution of the particles. Viral cytopathic effects on Vero E6 cells were initially observed at 72 h post-inoculation and reached 90% of the cells on the 5th day. The isolates displayed with similar infectivity titers, time course and infectious progeny yields. Genome sequencing revealed the viruses to be well-conserved, with less than 1% diversity compared to the prototype virus. The analysis of the viral genomes, along with the available 62 complete genomes from Anatolia, showed limited diversity (up to 0.2% on deduced amino acids) and no evidence of recombination. The most prominent sequence variation was observed on the spike protein, resulting in the substitution D614G, with a prevalence of 56.2%. The isolates produced non-fatal infection in the transgenic type I interferon knockout (IFNAR-/-) mice, with varying neutralizing antibody titers. Hyperemia, regional consolidation and subpleural air accumulation was observed on necropsy, with similar histopathological and immunohistochemistry findings in the lungs, heart, stomach, intestines, liver, spleen and kidneys. Peak viral loads were detected in the lungs, with virus RNA present in the kidneys, jejunum, liver, spleen and heart. In conclusion, we characterized two local isolates, investigated in vitro growth dynamics in Vero E6 cells and identified IFNAR-/- mice as a potential animal model for SARS-CoV-2 experiments.
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Affiliation(s)
- Alireza Hanifehnezhad
- Ankara University, Faculty of Veterinary Medicine, Department of Virology, Ankara 06110 Turkey
| | - Ebru Şahin Kehribar
- Bilkent University, UNAM-Institute of Materials Science and Nanotechnology, National Nanotechnology Research Center, Ankara 06800 Turkey
| | - Sıdıka Öztop
- Department of Immunology, Başkent University, Adana Dr Turgut Noyan Application and Research Center, Adana 01240 Turkey
| | - Ali Sheraz
- Bilkent University, UNAM-Institute of Materials Science and Nanotechnology, National Nanotechnology Research Center, Ankara 06800 Turkey
| | - Serkan Kasırga
- Bilkent University, UNAM-Institute of Materials Science and Nanotechnology, National Nanotechnology Research Center, Ankara 06800 Turkey
| | - Koray Ergünay
- Hacettepe University, Faculty of Medicine, Department of Medical Microbiology, Virology Unit, Ankara 06100 Turkey
| | - Sevgen Önder
- Hacettepe University, Faculty of Medicine, Department of Pathology, Ankara 06100 Turkey
| | - Erkan Yılmaz
- Ankara University, Biotechnology Institute, Ankara 06135 Turkey
| | - Doruk Engin
- Ankara University, Biotechnology Institute, Ankara 06135 Turkey
| | - T Çiğdem Oğuzoğlu
- Ankara University, Faculty of Veterinary Medicine, Department of Virology, Ankara 06110 Turkey
| | - Urartu Özgür Şafak Şeker
- Bilkent University, UNAM-Institute of Materials Science and Nanotechnology, National Nanotechnology Research Center, Ankara 06800 Turkey
| | - Engin Yılmaz
- Hacettepe University, Faculty of Medicine, Department of Medical Biology (ret.), Ankara 06100 Turkey
| | - Aykut Özkul
- Ankara University, Faculty of Veterinary Medicine, Department of Virology, Ankara 06110 Turkey.,Ankara University, Biotechnology Institute, Ankara 06135 Turkey
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12
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Villas-Boas GR, Rescia VC, Paes MM, Lavorato SN, de Magalhães-Filho MF, Cunha MS, Simões RDC, de Lacerda RB, de Freitas-Júnior RS, Ramos BHDS, Mapeli AM, Henriques MDST, de Freitas WR, Lopes LAF, Oliveira LGR, da Silva JG, Silva-Filho SE, da Silveira APS, Leão KV, Matos MMDS, Fernandes JS, Cuman RKN, Silva-Comar FMDS, Comar JF, Brasileiro LDA, dos Santos JN, Oesterreich SA. The New Coronavirus (SARS-CoV-2): A Comprehensive Review on Immunity and the Application of Bioinformatics and Molecular Modeling to the Discovery of Potential Anti-SARS-CoV-2 Agents. Molecules 2020; 25:E4086. [PMID: 32906733 PMCID: PMC7571161 DOI: 10.3390/molecules25184086] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 09/03/2020] [Accepted: 09/04/2020] [Indexed: 02/07/2023] Open
Abstract
On March 11, 2020, the World Health Organization (WHO) officially declared the outbreak caused by the new coronavirus (SARS-CoV-2) a pandemic. The rapid spread of the disease surprised the scientific and medical community. Based on the latest reports, news, and scientific articles published, there is no doubt that the coronavirus has overloaded health systems globally. Practical actions against the recent emergence and rapid expansion of the SARS-CoV-2 require the development and use of tools for discovering new molecular anti-SARS-CoV-2 targets. Thus, this review presents bioinformatics and molecular modeling strategies that aim to assist in the discovery of potential anti-SARS-CoV-2 agents. Besides, we reviewed the relationship between SARS-CoV-2 and innate immunity, since understanding the structures involved in this infection can contribute to the development of new therapeutic targets. Bioinformatics is a technology that assists researchers in coping with diseases by investigating genetic sequencing and seeking structural models of potential molecular targets present in SARS-CoV2. The details provided in this review provide future points of consideration in the field of virology and medical sciences that will contribute to clarifying potential therapeutic targets for anti-SARS-CoV-2 and for understanding the molecular mechanisms responsible for the pathogenesis and virulence of SARS-CoV-2.
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Affiliation(s)
- Gustavo R. Villas-Boas
- Research Group on Development of Pharmaceutical Products (P&DProFar), Center for Biological and Health Sciences, Federal University of Western Bahia, Rua Bertioga, 892, Morada Nobre II, Barreiras CEP 47810-059, BA, Brazil; (V.C.R.); (M.M.P.); (S.N.L.); (M.F.d.M.-F.); (M.S.C.); (R.d.C.S.)
| | - Vanessa C. Rescia
- Research Group on Development of Pharmaceutical Products (P&DProFar), Center for Biological and Health Sciences, Federal University of Western Bahia, Rua Bertioga, 892, Morada Nobre II, Barreiras CEP 47810-059, BA, Brazil; (V.C.R.); (M.M.P.); (S.N.L.); (M.F.d.M.-F.); (M.S.C.); (R.d.C.S.)
| | - Marina M. Paes
- Research Group on Development of Pharmaceutical Products (P&DProFar), Center for Biological and Health Sciences, Federal University of Western Bahia, Rua Bertioga, 892, Morada Nobre II, Barreiras CEP 47810-059, BA, Brazil; (V.C.R.); (M.M.P.); (S.N.L.); (M.F.d.M.-F.); (M.S.C.); (R.d.C.S.)
| | - Stefânia N. Lavorato
- Research Group on Development of Pharmaceutical Products (P&DProFar), Center for Biological and Health Sciences, Federal University of Western Bahia, Rua Bertioga, 892, Morada Nobre II, Barreiras CEP 47810-059, BA, Brazil; (V.C.R.); (M.M.P.); (S.N.L.); (M.F.d.M.-F.); (M.S.C.); (R.d.C.S.)
| | - Manoel F. de Magalhães-Filho
- Research Group on Development of Pharmaceutical Products (P&DProFar), Center for Biological and Health Sciences, Federal University of Western Bahia, Rua Bertioga, 892, Morada Nobre II, Barreiras CEP 47810-059, BA, Brazil; (V.C.R.); (M.M.P.); (S.N.L.); (M.F.d.M.-F.); (M.S.C.); (R.d.C.S.)
| | - Mila S. Cunha
- Research Group on Development of Pharmaceutical Products (P&DProFar), Center for Biological and Health Sciences, Federal University of Western Bahia, Rua Bertioga, 892, Morada Nobre II, Barreiras CEP 47810-059, BA, Brazil; (V.C.R.); (M.M.P.); (S.N.L.); (M.F.d.M.-F.); (M.S.C.); (R.d.C.S.)
| | - Rafael da C. Simões
- Research Group on Development of Pharmaceutical Products (P&DProFar), Center for Biological and Health Sciences, Federal University of Western Bahia, Rua Bertioga, 892, Morada Nobre II, Barreiras CEP 47810-059, BA, Brazil; (V.C.R.); (M.M.P.); (S.N.L.); (M.F.d.M.-F.); (M.S.C.); (R.d.C.S.)
| | - Roseli B. de Lacerda
- Department of Pharmacology of the Biological Sciences Center, Federal University of Paraná, Jardim das Américas, Caixa. postal 19031, Curitiba CEP 81531-990, PR, Brazil;
| | - Renilson S. de Freitas-Júnior
- Clinical Health is Life-Integrated Health Center, Rua dos Andrades, 99, Barreirinhas, Barreiras CEP 47810-689, BA, Brazil;
| | - Bruno H. da S. Ramos
- Institute of the Spine and Pain Clinic, Rua Dr. Renato Gonçalves, 108, Renato Gonçalves, Barreiras CEP 47806-021, BA, Brazil;
| | - Ana M. Mapeli
- Research Group on Biomolecules and Catalyze, Center for Biological and Health Sciences, Federal University of Western Bahia, Rua Bertioga, 892, Morada Nobre II, Barreiras CEP 47810-059, BA, Brazil;
| | - Matheus da S. T. Henriques
- Laboratory of Pharmacology of Toxins (LabTox), Graduate Program in Pharmacology and Medicinal Chemistry (PPGFQM), Institute of Biomedical Sciences (ICB) Federal University of Rio de Janeiro (UFRJ), Avenida Carlos Chagas Filho, 373, Cidade Universitária, Rio de Janeiro CEP 21941-590, RJ, Brazil;
| | - William R. de Freitas
- Research Group on Biodiversity and Health (BIOSA), Center for Training in Health Sciences, Federal University of Southern Bahia, Praça Joana Angélica, 58, São José, Teixeira de Freitas, Teixeira de Freitas CEP 45988-058, Brazil;
| | - Luiz A. F. Lopes
- University Hospital of the Federal University of Grande Dourados (HU-UFGD), Federal University of Grande Dourados, Rua Ivo Alves da Rocha, 558, Altos do Indaiá, Dourados CEP 79823-501, MS, Brazil;
| | - Luiz G. R. Oliveira
- Nucleus of Studies on Infectious Agents and Vectors (Naive), Federal University of Western Bahia, Rua Bertioga, 892, Morada Nobre II, Barreiras CEP 47810-059, BA, Brazil;
| | - Jonatas G. da Silva
- Federal University of Western Bahia, Rua Bertioga, 892, Morada Nobre II, Barreiras CEP 47810-059, BA, Brazil; (J.G.d.S.); (K.V.L.); (J.S.F.)
| | - Saulo E. Silva-Filho
- Pharmaceutical Sciences, Food and Nutrition College, Federal University of Mato Grosso do Sul, Avenida Costa e Silva, s/nº, Bairro Universitário, Campo Grande CEP 79070-900, MS, Brazil;
| | - Ana P. S. da Silveira
- Faculty of Biological and Health Sciences, University Center Unigran Capital, Rua Balbina de Matos, 2121, Jd. University, Dourados CEP 79.824-900, MS, Brazil;
| | - Katyuscya V. Leão
- Federal University of Western Bahia, Rua Bertioga, 892, Morada Nobre II, Barreiras CEP 47810-059, BA, Brazil; (J.G.d.S.); (K.V.L.); (J.S.F.)
| | - Maria M. de S. Matos
- Health Sciences at ABC Health University Center, Avenida Príncipe de Gales, 667, Bairro Princípe de Gales, Santo André CEP 09060-870, SP, Brazil;
| | - Jamille S. Fernandes
- Federal University of Western Bahia, Rua Bertioga, 892, Morada Nobre II, Barreiras CEP 47810-059, BA, Brazil; (J.G.d.S.); (K.V.L.); (J.S.F.)
| | - Roberto K. N. Cuman
- Department of Pharmacology and Therapeutics, State University of Maringá, Avenida Colombo, nº 5790, Jardim Universitário, Maringá CEP 87020-900, PR, Brazil; (R.K.N.C.); (F.M.d.S.S.-C.)
| | - Francielli M. de S. Silva-Comar
- Department of Pharmacology and Therapeutics, State University of Maringá, Avenida Colombo, nº 5790, Jardim Universitário, Maringá CEP 87020-900, PR, Brazil; (R.K.N.C.); (F.M.d.S.S.-C.)
| | - Jurandir F. Comar
- Department of Biochemistry, State University of Maringá, Avenida Colombo, nº 5790, Jardim Universitário, Maringá CEP 87020-900, PR, Brazil;
| | - Luana do A. Brasileiro
- Nacional Cancer Institute (INCA), Rua Visconde de Santa Isabel, 274, Rio de Janeiro CEP 20560-121, RJ, Brazil;
| | | | - Silvia A. Oesterreich
- Faculty of Health Sciences, Federal University of Grande Dourados, Dourados Rodovia Dourados, Itahum Km 12, Cidade Universitaria, Caixa postal 364, Dourados CEP 79804-970, Mato Grosso do Sul, Brazil;
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13
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Sarıgül F, Doluca O, Akhan S, Sayan M. Investigation of compatibility of severe acute respiratory syndrome coronavirus 2 reverse transcriptase-PCR kits containing different gene targets during coronavirus disease 2019 pandemic. Future Virol 2020; 15:515-524. [PMID: 33005213 PMCID: PMC7507840 DOI: 10.2217/fvl-2020-0169] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Aim: In the diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), reverse transcriptase-PCR (RT-PCR) technique is often used. We evaluated the compatibility of SARS-CoV-2 RT-PCR kits containing different gene targets during the pandemic. Materials & methods: Samples were tested by Bio-Speddy® (RdRp gene) and Diagnovital® (RdRp + E genes). The correlation between two assays were determined by Deming regression analysis and chi-square analyses. Results: Diagnovital PCR kit showed amplification in a narrow Ct range and conveniently sharper exponential amplification curves than Bio-Speedy PCR kit. While the correlation between the findings of the two kits was apparent even with single gene target, this correlation increased when a secondary biomarker was added to the correlation calculations. Conclusion: We have observed high correlation between different PCR kits, however, using different PCR kits during the pandemic may provide a more accurate diagnosis of SARS-CoV-2, since despite correlation there are a number of patients showing contradicting diagnosis.
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Affiliation(s)
- Figen Sarıgül
- Health Sciences University, Antalya Education & Research Hospital, Infectious Disease & Clinical Microbiology, Antalya, Turkey
| | - Osman Doluca
- Izmir University of Economics, Department of Biomedical Engineering, Izmir, Turkey
| | - Sıla Akhan
- Kocaeli University, Faculty of Medicine, Infectious Disease & Clinical Microbiology, Kocaeli, Turkey
| | - Murat Sayan
- Kocaeli University, Faculty of Medicine, Clinical Laboratory, PCR Unit, Kocaeli, Turkey.,Near East University, DESAM Institute, Nicosia, Northern Cyprus
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