Genome Sequences of COVID-19 from Jordanian Patients in Comparison with the Global Pandemic Strains and the Transmission Route

Abstract

In this research study, we reported a pioneer investigation on the phylogenetic profile of genomic sequences and the prevalence of COVID-19 strains in Jordan; in comparison with global strains, as part of concerted global efforts in combating the COVID-19 pandemic. A total of 28 genome sequences of the hCoV-19/Jordan strain were employed in this study. The phylogenetic analysis of the genome sequences of hCoV-19/Jordan strain, which was conducted on the databases of NCBI and GASAID revealed that the hCoV-19/Jordan strain belongs to the G, V, and S clades with distribution coverage rates of 89%, 7% and 4%, respectively. Comparison of the hCoV-19/Jordan clades with global clades distribution profile showed evidently and conclusively, a unique pandemic profile of multiple geographical sources of COVID-19, imported into Jordan primarily through cryptic means from European countries (UK, Belgium, Sweden, Russia) and Morocco, which are entry points into Jordan. This is due to the reciprocal heavy air traffic route between Jordan and the capitals of these European countries, with Morocco being the primary entry point into Jordan. The results of this study represent a marked addition to investigations on the prevalence rate of the hCovid-19/Jordan strain in comparison to the global strains sequences, and provides a better understanding on comparative diagnosis technique for COVID-19 worldwide. Phylogenetic analysis of the top 100 and top 10 taxonomic trees revealed almost identical homology (99.98% - 100%) between hCoV-19/Jordan strain and the strains that broke out in Wuhan, the MT642226.1. Furthermore, it can be inferred that there was no marked change in the virus mutation that occurred during the period of this study taking into cognizance the fact that there was identical homology (99.98% - 100%) among the 28 sequences of hCoV-19/Jordan strains. Similarly, all sequences of the Jordanian strains of hCoV-19/Jordan were compared to the England and American strains and showed identical homology of (99.98% - 100%).

Share and Cite:

Mahasneh, I. , Ennaji, M. and Abumsimir, B. (2021) Genome Sequences of COVID-19 from Jordanian Patients in Comparison with the Global Pandemic Strains and the Transmission Route. Journal of Biosciences and Medicines, 9, 77-93. doi: 10.4236/jbm.2021.93009.

1. Introduction

Since the World Health Organization (WHO) officially declared the outbreak of COVID-19 a pandemic on March 11, 2020, there has been a global growing interest in research targeted at combating the virus due to the surge in infection, as well as the prevalence rate. This has made it imperative and expedient for all probable preventative measures to be adopted in combating the global surge in infection pending the discovery of a vaccine for the virus. Currently, there are over 40 million confirmed cases globally as reported by WHO. The COVID-19 strain responsible for the current global pandemic was identified early this year as the β-coronavirus (CoV), which belongs to the Coronaviridae family and it has a single positive-strand RNA genome [1] [2] [3]. This strain-type is among several strains of coronaviruses that are pathogenic to humans; most are associated with mild clinical symptoms, with the exception of the Severe Acute Respiratory Syndrome (SARS) coronavirus (SARS-CoV) and it was reported as a novel β-coronavirus two decades ago [4] [5] [6]. In 2012, the same strain-type was detected in Saudi Arabia, and since then, it has been known as the Middle East Respiratory Syndrome (MERS) coronavirus (MERS-CoV) [7] [8]. It was later imported into South Korea, and caused about 2500 confirmed cases of infections [9] [10]. In late December, 2019, after global detection of the COVID-19 strain in many countries, the WHO has declared it as a pandemic on March 11, 2020.

A phylogenetic tree with the geographical mutation transmission of SARS-CoV-2 has previously been reported to have a genome size of about 30 kilobases, and encodes 10 genes of a single positive-stranded RNA (ribonucleic acid) [1] [2] [11] - [17]. Furthermore, a comprehensive study conducted by the World Health Organization [18] (employing 10,022 SARS-CoV-2 genomes from 68 different countries) showed how the SARS-CoV-2 genome has evolved over the years, spreading to different parts of the world. In total, 65,776 variants and 5775 distinct variants, comprised of the most frequent mutations causing the SARS-CoV-2 pandemic were detected by WHO. Additionally, 2969 missense mutations, 1965 synonymous mutations, and 484 mutations in non-coding regions were also discovered by WHO [1]. It was reported by [12] based on data from the public database of the Global Initiative on Sharing All Influenza Data (GISAID) that three major clades of SARS-CoV-2 exists, and have subsequently been named as clade G (variant of the spike protein S-D614G), clade V (variant of the ORF3a coding protein NS3-G251), and clade S (variant ORF8-L84S).

Jordan and its Mediterranean crossing route, and global tourist attraction centers represent an important route for global spread of COVID-19. The spread of COVID-19 is most likely because of Jordan’s heavy air traffic, which is induced by Jordan’s route nexus with Europe and many north African countries. It is also attributed to Jordan’s close border with Asian countries like China, Pakistan, Nepal, and gulf countries like Saudi, UAE and Bahrain. Up to date of this paper, the COVID-19 pandemic has spread progressively reaching 110,974,862 confirmed cases of COVID-19, including 2,460,792 deaths worldwide and showed a marked increase in infection in Jordan exceeding 364,000 confirmed cases. Therefore, this paper as the first study aimed at investigating the COVID-19 in Jordan as part of the global pandemic and in comparison to global strains, has a vital role for Jordan as well as other parts of the world for better understanding the COVID-19 pandemic across the world which will enhance the global understanding of the transmission routes as well as the mechanism of action to combating the its pandemic.

2. Materials and Methods

2.1. Jordan National SARS-CoV-2 Pandemic Surveillance Committee

After the first confirmed case of SARS-CoV-2 infection in Jordan, a National SARS-CoV-2 Pandemic Surveillance Committee was instituted with the National Order number (17) to oversee the SAR-CoV-2 surveillance and combat program.

2.2. Collection of Clinical Samples and Extraction of RNA Using RT-PCR

A total of 28 nasopharyngeal swab samples (26 from Amman & 2 from Irbid) were collected from symptomatic and high index of suspicion patients at the Biolab Diagnostic Laboratories, Amman, Jordan for SAR-CoV-2 investigation using the RT-PCR and RNA extraction technique (in line with the manufacturer’s protocol). Quality control assurance measures for SAR-CoV-2 RNA purity were conducted in line with the extraction protocol. The genome of the 28 samples was later dispatched to the Scripps Research Institute (TSRI), La Jolla, California, USA for genome sequencing.

2.3. Sequencing of the Full Length Genome of Jordanian SAR-CoV-2 Strains

The (28) genome samples from Jordan (26 from Amman and 2 from Irbid) were subjected to complete genome sequencing in the Scripps Research Institute (TSRI), La Jolla, California, USA as previously described [11]. The resultant sequences were later deposited by the Scripps Research Institute (TSRI) into the databases of the NCBI GenBank (http://www.ncbi.nlm.nih.gov/) and Global Initiative on Sharing All Influenza Data (GISAID) (http://www.gisaid.org/) employing the tag hCoV-19/Jordan vis-à-vis each respective accession number (see Table 1 for details of the accession numbers and other descriptions).

2.4. Using GISAID (Global Initiative on Sharing All Influenza) Public Domain Databank for Phylogenetic Comparison with COVID-19 Sequences of Global Strains

For comparison of our strains sequences of the COVID-19 with the genomic sequences of the global strains from different countries, we have used with acknowledgments the COVID-19 sequences available on the Public Domain Databank platform of GISAID and EpiFlu™ database, as hosted by the Federal Republic of Germany; which provides us with rapid sharing of COVID-19 sequences enabling us for rapid and conclusive global comparison on the epidemic and pandemic of the COVID-19 (http://www.gisaid.org/).

Sequence alignment was conducted using human coronavirus sequences registered in the Global Initiative on Sharing All Influenza Data (GISAID) and NCBI GenBank. Using the available sequences and the software on the Public Domain of the GISAID (http://www.gisaid.org/) and the NCBI (https://blast.ncbi.nlm.nih.gov); the Phylogenetic trees were constructed employing for Neighbor Joining (NJ); Minimum Evaluation Analysis and the NJ-Taxonomic Distance Tree. The accession numbers of the 28 sequences of hCoV-19/Jordan were used to construct the phylogenetic tree in comparison with the closest sequences of the top 100 and top 10 taxonomic trees, and (99.98% - 100%) semblance to those sequences available on the NCBI (https://blast.ncbi.nlm.nih.gov). In this comparative study, we selected a set of sequences from different parts of the world. Sequences were selected from Europe (3 from United Kingdom, 3 from Belgium, 2 from Sweden, and 3 from Russia), Asia (9 from Pakistan, 1 from Nepal, 9 from Bahrain, and 4 from Lebanon) and Africa (10 from Morocco) because of the geographical limitrophe of Jordan with these countries. Sequences were assembled and mapped to the SARS-CoV-2 that are available on the Public Domain of the GISAID (http://www.gisaid.org/) and the NCBI (https://blast.ncbi.nlm.nih.gov).

3. Results

The phylogenetic tree of the hCoV-19/Jordan sequences in comparison with selected global sequences is presented in Figure 1 which shows almost identical homology (99.98% - 100%) with the top 100 and top 10 taxonomic trees. The results showed that the spreading profile in Jordan is composed of (5) geographical clusters vis-à-vis the origin of the pandemic. These include 2 different clusters similar to sequences from the UK, 1 cluster from Morocco and 2 clusters with local transmission designation. The neighbor joining (NJ) of distance-based

Table 1. Sequences description for the Covid-2 of the genus Betacoronavirus and family Coronaviridae; during pandemic period of March 1st. and October 1st. 2020 as compared with selected global strains.

phylogenetic analysis of the top 100 (Figure 2) and top 10 (Figure 3) taxonomic trees revealed almost identical homology between hCoV-19/Jordan strain and the strains that broke out in Wuhan, the MT642226.1.

The sequence description of the hCoV-19/Jordan strain in comparison with global sequences homology (99.98% - 100%) based on NCBI database filter results is presented in Table 1. All sequences of the hCoV-19/Jordan strain were complete, exceeding (29,400 bp), and example of the complete sequence of the hCoV-19/Jordan is given in Figure 3, which were therefore compared with similar complete global sequences. The clades and sub-clades descriptions of the genealogical lineage of the hCoV-19/Jordan strain are presented in Table 2; which shows that the hCoV-19/Jordan strain belongs to the G, V, and S clades with spreading frequencies of 89%, 7% and 4%, respectively.

Figure 1. NJ-distance phylogenetic of the hCoV-19/Jordan sequences as compared to the global sequences.

Figure 2. NJ-distance phylogenetic of the hCoV-19/Jordan sequences as compared to the top-100 hits of global sequences.

Figure 3. NJ-distance phylogenetic of the hCoV-19/Jordan sequences as compared to the top-10 hits of global sequences.

4. Discussion

The phylogenetic analysis of the hCoV-19/Jordan strain constructed from selected global genomes deposited into GISAID for comparison purposes revealed that the 28 genome sequences from Jordan employed in this study were compatible with the evolutionary tree of SARS-CoV-2, and had a complete genome length of 29,400 bp and homology of (99.98% - 100%) (Figure 1). This provides a conclusive evidence that the hCoV-19/Jordan is part of the global pandemic strains of SARS-CoV-2. The results of our study showed that the genome length and homology of the hCoV-19/Jordan strain are in consonance with those reported for the SARS-CoV-2 strains globally [1] [3] [11]. The neighbor joining phylogenetic analysis of the top 100 (Figure 2) and top 10 taxonomic trees (Figure 3) showed conclusively that the hCoV-19/Jordan strain had almost identical homology (99.98% - 100%) with the strains that broke out in Wuhan, the MT642226.1. This suggests that it is the most recent strain, and has a common ancestry with the strains transmitted and detected in Jordan. Similarly, all sequences of the Jordanian strains of hCoV-19/Jordan were compared to the England and American strains and showed identical homology of (99.98% -

Table 2. Characterization of the clades & genealogical-lineages of the COVID-19 strains clusters during pandemic in Jordan.

100%) (Figure 2 and Figure 3) and as it can be seen from the example of the complete sequence of the hCoV-19/Jordan strain as given in Figure 4.

Comparison of the clades of hCoV-19/Jordan with that of SARS-CoV-2 showed that the most plausible transmission routes are European countries (UK, Belgium, Sweden, Russia) and Morocco, which are entry points into Jordan. This can be attributed to the fact that both the G and V clades reported in this study for hCoV-19/Jordan strain are similar to those reported earlier in these European countries [12] [19]. This further suggests that the strain was transmitted through the heavy air traffic transmission rout between EU countries-Morocco-Jordan) after the strains were transmitted from China to EU countries. This is

Figure 4. Example of the complete sequence of the hCoV-19/Jordan.

in consonance with previous reports that stated that clade G apparently originated from Shanghai before it was imported into European countries [17] [20] [21].

5. Conclusion

The results of this study show conclusively a unique pandemic profile of multiple geographical sources of COVID-19 importation into Jordan primarily through UK, Belgium, Sweden, Russia and Morocco, which are entry points into Jordan. This is also due to the reciprocal heavy air traffic route between Jordan and European capitals. It can be inferred based on the identical homology (99.98% - 100%) of the 28 sequences of hCoV-19/Jordan strain that there was no marked change in the virus mutation that occurred during the period of this study.

Acknowledgements

The authors would like to acknowledge the generous support of Professor Kristian Andersen (Scripps Research Institute, TSRI, La Jolla, CA, USA) and his joint-permission with the Biolab Diagnostic Laboratory, Jordan (personal communication) to use the SARS-CoV-2 sequences from Jordan in this paper. The authors also would like to acknowledge the use of the data and the bioinformatics software available on the Public Domains of both NCBI GeneBank (http://www.ncbi.nlm.nih.gov/) and the Global Initiative on Sharing All Influenza Data (GISAID) (http://www.gisaid.org/). The authors would like to acknowledge the efforts of the Ministry of Health (http://www.moh.gov.jo), Government of Jordan for the financial support and the valuable efforts on administrating the National Surveillances Program (as set by the National orders numbers; 17 - 20) including the samples collections of the SARS-CoV-2).

Data Availability

All the 28 sequences of the hCoV-19/Jordan used in this paper have been used as available on the public Domains in both NCBI GeneBank (http://www.ncbi.nlm.nih.gov/) and the Global Initiative on Sharing All Influenza Data (GISAID) (http://www.gisaid.org/) under the name of hCoV-19/Jordan as per each respective accession number. All clinical data of the patients, epidemiological details as well as sampling surveillances were maintained in the National record of the Ministry of Health of Jordan.

Conflicts of Interest

The authors declare no conflicts of interest regarding the publication of this paper.

References

[1] Koyama, T., Platt, D. and Parida, L. (2020) Variant Analysis of SARS-CoV-2 Genomes. Bulletin of the World Health Organization, 98, 495-504.
https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200410-sitrep-81-covid-19
https://doi.org/10.2471/BLT.20.253591
[2] Lu, R., Zhao, X., Li, J., Niu, P., Yang, B., Wu, H., Wang, W., Song, H., Huang, B., Zhu, N., Bi, Y., Ma, X., Zhan, F., Wang, L., Hu, T., Zhou, H., Hu, Z., Zhou, W., Zhao, L., Chen, J., Meng, Y., Wang, J., Lin, Y., Yuan, J., Xie, Z., Ma, J., Liu, W.J., Wang, D., Xu, W., Holmes, E.C., Gao, G.F., Wu, G., Chen, W., Shi, W. and Tan, W. (2020) Genomic Characterization and Epidemiology of 2019 Novel Coronavirus: Implications for Virus Origins and Receptor Binding. The Lancet, 395, 565-574.
https://doi.org/10.1016/S0140-6736(20)30251-8
[3] Zhou, P., Yang, X., Wang, X., et al. (2020) A Pneumonia Outbreak Associated with a New Coronavirus of Probable Bat Origin. Nature, 579, 270-273.
https://doi.org/10.1038/s41586-020-2012-7
[4] Cavanagh, D. (2007) Coronavirus Avian Infectious Bronchitis Virus. Veterinary Research, 38, 281-297.
https://doi.org/10.1051/vetres:2006055
[5] Ismail, M.M., Tang, A.Y. and Saif, Y.M. (2003) Pathogenicity of Turkey Coronavirus in Turkeys and Chickens. Avian Diseases, 47, 515-522.
https://doi.org/10.1637/5917
[6] Moira, C.-Y. and Xu, R.H. (2003) SARS: Epidemiology. Respirology, 8, S9-S14.
https://doi.org/10.1046/j.1440-1843.2003.00518.x
[7] Corman, V.M., Müller, M.A., Costabel, U., Timm, J., Binger, T., Meyer, B., et al. (2012) Assays for Laboratory Confirmation of Novel Human Coronavirus (hCoV-EMC) Infections. Eurosurveillance, 17, 20334.
https://doi.org/10.2807/ese.17.49.20334-en
[8] Zaki, A.M., van Boheemen, S., Bestebroer, T.M., Osterhaus, A.D. and Fouchier, R.A. (2012) Isolation of a Novel Coronavirus from a Man with Pneumonia in Saudi Arabia. The New England Journal of Medicine, 367, 1814-1820.
https://doi.org/10.1056/NEJMoa1211721
[9] Lee, J., Chowell, G. and Jung, E. (2016) A Dynamic Compartmental Model for the Middle East Respiratory Syndrome Outbreak in the Republic of Korea: A Retrospective Analysis on Control Interventions and Superspreading Events. Journal of Theoretical Biology, 408, 118-126.
https://doi.org/10.1016/j.jtbi.2016.08.009
[10] Chung, E.H., Kim, Y.-J., Chung, E.H., Kim, D.-W., et al. (2017) The Clinical and Virological Features of the First Imported Case Causing MERS-CoV Outbreak in South Korea, 2015. BMC Infectious Diseases, 17, Article No. 498.
https://doi.org/10.1186/s12879-017-2576-5
[11] Andersen, K.G., Rambaut, A., Lipkin, W.I., Holmes, E.C. and Garry, R.F. (2020) The Proximal Origin of SARS-CoV-2. Nature Medicine, 26, 450-452.
http://www.nature.com/naturemedicine
https://doi.org/10.1038/s41591-020-0820-9
[12] Corman, V.M., Landt, O., Kaiser, M., Molenkamp, R., Meijer, A., Chu, D.K.W., Bleicker, T., Brünink, S., Schneider, J., Schmidt, M.L., Mulders, D.G.J.C., Haagmans, B.L., van der Veer, B., van den Brink, S., Wijsman, L., Goderski, G., Romette, J.-L., Ellis, J., Zambon, M., Peiris, M., Goossens, H., Reusken, C., Koopmans, M.P.G. and Drosten, C. (2020) Detection of 2019 Novel Coronavirus (2019-nCoV) by Real-Time RT-PCR. Eurosurveillance, 25, Article ID: 2000045.
https://doi.org/10.2807/1560-7917.ES.2020.25.3.2000045
[13] Forster, P., Forster, L., Renfrew, C. and Forster, M. (2020) Phylogenetic Network Analysis of SARS-CoV-2 Genomes. Proceedings of the National Academy of Sciences of the United States of America, 117, 9241-9243.
https://doi.org/10.1073/pnas.2004999117
[14] Guan, Q., Sadykov, M., Mfrrej, S., Hala, S., Naeem, R., Nugmanova, R., Al-Omari, A., Salih, S., Al-Mutair, A., Carr, M.J., Hall, W.W., Arold, S.T. and Pain, A. (2020) A Genetic Barcode of SARS-CoV-2 for Monitoring Global Distribution of Different Clades during the COVID-19 Pandemic. International Journal of Infectious Diseases, 100, 216-223.
https://doi.org/10.1016/j.ijid.2020.08.052
[15] Gu, W., Miller, S. and Chiu, C.Y. (2019) Clinical Metagenomic Next-Generation Sequencing for Pathogen Detection. Annual Review of Pathology: Mechanisms of Disease, 14, 319-338.
https://doi.org/10.1146/annurev-pathmechdis-012418-012751
[16] Mercatelli, D. and Giorgi, F.M. (2020) Geographic and Genomic Distribution of SARS-CoV-2 Mutations. Frontiers in Microbiology, 11, 1-13.
https://doi.org/10.3389/fmicb.2020.01800
[17] Zehender, G., Lai, A., Bergna, A., Meroni, L., Riva, A., Balotta, C., Tarkowski, M., Gabrieli, A., Bernacchia, D., Rusconi, S., Rizzardini, G., Antinori, S. and Galli, M. (2020) Genomic Characterization and Phylogenetic Analysis of SARS-COV-2 in Italy. Journal of Medical Virology.
https://doi.org/10.1101/2020.03.15.20032870
[18] World Health Organization (WHO) (2020) Coronavirus Disease 2019 (COVID-19) Situation Report—81.
https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200410-sitrep-81-covid-19
[19] European Centre for Disease Control and Prevention (ECDC) (2020) COVID-19 Situation update Worldwide, as of 10 April 2020.
https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
[20] Bartolini, B., Rueca, M., Gruber, C., Messina, F., Carletti, F., Giombini, E., et al. (2020) SARS-CoV-2 Phylogenetic Analysis, Lazio Region, Italy, February-March 2020. Emerging Infectious Diseases, 26, 1842-1845.
https://doi.org/10.3201/eid2608.201525
[21] Giovanetti, M., Angeletti, S., Benvenuto, D. and Ciccozzi, M. (2020) A Doubt of Multiple Introduction of SARS-CoV-2 in Italy: A Preliminary Overview. Journal of Medical Virology, 92, 1634-1636.
https://doi.org/10.1002/jmv.25773

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.