| Literature DB >> 33605109 |
Abdulrahim A Sajini1,2, Almohanad A Alkayyal2, Fathi A Mubaraki3,4.
Abstract
Countries in the Middle-East (ME) are tackling two corona virus outbreaks simultaneously, Middle-Eastern Respiratory Syndrome Coronavirus (MERS-CoV) and the current Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Both viruses infect the same host (humans) and the same cell (type-II alveolar cells) causing lower respiratory illnesses such as pneumonia. Molecularly, MERS-CoV and SARS-CoV-2 enter alveolar cells via spike proteins recognizing dipeptidyl peptidase-4 and angiotensin converting enzyme-II, respectively. Intracellularly, both viruses hide in organelles to generate negative RNA strands and initiate replication using very similar mechanisms. At the transcription level, both viruses utilise identical Transcription Regulatory Sequences (TRSs), which are known recombination cross-over points during replication, to transcribe genes. Using whole genome alignments of both viruses, we identify clusters of high sequence homology at ORF1a and ORF1b. Given the high recombination rates detected in SARS-CoV-2, we speculate that in co-infections recombination is feasible via TRS and/or clusters of homologies. Accordingly, here we recommend mitigation measure and testing for both MERS-CoV and SARS-CoV-2 in ME countries.Entities:
Keywords: COVID-19; MERS-CoV; SARS-CoV-2; dromedary camels; humans; recombination
Year: 2020 PMID: 33605109 PMCID: PMC8242116 DOI: 10.2991/jegh.k.201105.001
Source DB: PubMed Journal: J Epidemiol Glob Health ISSN: 2210-6006
Figure 1Homology clusters between SARS-CoV-2 and MERS-CoV. Severe Acute Respiratory Syndrome Coronavirus 2 genome sequence (GenBank number MN996527.1) was aligned with MERS.CoV genome sequence (GenBank number MG987421.1) using Blast 2 sequences from NCBI [12]. Clusters of genome homologies along the whole genome was presented in a Dot plot graph [13].
Sequence homology information between MERS-CoV and SARS-CoV-2 aligned clusters
| 1 | 14605–18268 | 14242–17906 | 628 bits (340) | 2620 (70%) | 3728 | ORF1b |
| 2 | 21081–21594 | 20749–21263 | 102 bits (55) | 372 (71%) | 525 | ORF1b |
| 3 | 10778–10895 | 10414–10530 | 56.5 bits (30) | 90 (76%) | 119 | ORF1a |
| 4 | 11464–11486 | 11108–11130 | 38.1 bits (20) | 22 (96%) | 23 | ORF1a |
| 5 | 2246–2261 | 20138–20123 | 30.7 bits (16) | 16 (100%) | 16 | ORF1a/ORF1b |
| 6 | 19910–19925 | 21463–21448 | 30.7 bits (16) | 16 (100%) | 16 | ORF1b |
All of the data was extracted from Blast 2 sequences using NCBI after aligning MERS-CoV genome with SARS-CoV-2 genome.
Figure 2Viral genes aligned with TRSs and sequence homology clusters. Schematic diagram of MERS-CoV and SARS-CoV-2 viral genomes (A) aligned with sequence homology clusters highlighted in blue and (B) identical TRSs (red triangles). These hotspots should enable recombination prediction points based on homology clusters and TRS sites within viral genes.
Identical TRSs between MERS-CoV and SARS-CoV-2 viral genomes
| 5′ TCTA | 00032–00047 | |
| 5′ ACTA | 21,518–21,533 | |
| 5′ CATA | 25,347–25,362 | |
| 5′ TCTA | 26,435–26,450 | |
| 5′ ATTA | 27,349–27,364 | |
| 5′ CCTA | 27,850–27,865 | |
| 5′ TCTA | 28,222–28,237 |