Identification and analysis of novel variants in SARS-COV-2 genomes isolated from the Kingdom of Bahrain
This article has been Reviewed by the following groups
Listed in
- Evaluated articles (ScreenIT)
Abstract
The challenges imposed by the ongoing outbreak of severe acute respiratory syndrome coronavirus-2 affects every aspect of our modern world, ranging from our health to our socio-economic needs. Our existence highly depends on the vaccine’s availability, which demands in-depth research of the available strains and their mutations. In this work, we have analyzed all the available SERS-CoV2 genomes isolated from the Kingdom of Bahrain in terms of their variance and origin analysis. We have predicted various known and unique mutations in the SERS-CoV2 isolated from Bahrain. The complexity of the phylogenetic tree and dot plot representation of the strains mentioned above with other isolates of Asia indicates the versatility and multiple origins of Bahrain’s SERS-CoV2 isolates. We have also identified two high impact spike mutations from these strains which increase the virulence of SARS-CoV2. Our research could have a high impact on vaccine development and distinguishes the source of SERS-CoV2 in the Kingdom of Bahrain.
Article activity feed
-
SciScore for 10.1101/2021.01.25.428191: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources MUSCLE algorithm is based on two distance measures: k-mer distance and Kimura distance for each of the two sequences. MUSCLEsuggested: (MUSCLE, RRID:SCR_011812)For phylogenetic tree reconstruction, we have used the PhyML algorithm which is based on the maximum likelihood method (Guindon 2003). PhyMLsuggested: (PhyML, RRID:SCR_014629)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques …SciScore for 10.1101/2021.01.25.428191: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources MUSCLE algorithm is based on two distance measures: k-mer distance and Kimura distance for each of the two sequences. MUSCLEsuggested: (MUSCLE, RRID:SCR_011812)For phylogenetic tree reconstruction, we have used the PhyML algorithm which is based on the maximum likelihood method (Guindon 2003). PhyMLsuggested: (PhyML, RRID:SCR_014629)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- No funding statement was detected.
- No protocol registration statement was detected.
-
-