Genetic Diversity Among SARS-CoV2 Strains in South America may Impact Performance of Molecular Detection
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Abstract
Since its emergence in Wuhan (China) on December 2019, the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has rapidly spread worldwide. After its arrival in South America in February 2020, the virus has expanded throughout the region, infecting over 900,000 individuals with approximately 41,000 reported deaths to date. In response to the rapidly growing number of cases, a number of different primer-probe sets have been developed. However, despite being highly specific, most of these primer-probe sets are known to exhibit variable sensitivity. Currently, there are more than 300 SARS-CoV2 whole genome sequences deposited in databases from Brazil, Chile, Ecuador, Colombia, Uruguay, Peru, and Argentina. To test how regional viral diversity may impact oligo binding sites and affect test performance, we reviewed all available primer-probe sets targeting the E, N, and RdRp genes against available South American SARS-CoV-2 genomes checking for nucleotide variations in annealing sites. Results from this in silico analysis showed no nucleotide variations on the E-gene target region, in contrast to the N and RdRp genes which showed massive nucleotide variations within oligo binding sites. In lines with previous data, our results suggest that the E-gene stands as the most conserved and reliable target when considering single-gene target testing for molecular diagnosis of SARS-CoV-2 in South America.
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SciScore for 10.1101/2020.06.18.20134759: (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 The complete set of sequences was aligned using MAFFT v7.407 with FFT-NS-2 algorithm and default parameter settings [17,18]. MAFFTsuggested: (MAFFT, RRID:SCR_011811)Each sub-alignment was manually verified to remove sequences with Ns, not identified positions (denoted with IUPAC code) and gaps. IUPACsuggested: (IUPAC, RRID:SCR_005084)The “good-sequence” alignment by gene (N, E and RdRp) was used to identify nucleotide and haplotype diversity using DnaSP 5.10 software [20]. DnaSPsuggested: (DnaSP, RRID:SCR_003067)A representative sequence by haplotype was used to construct a haplotype … SciScore for 10.1101/2020.06.18.20134759: (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 The complete set of sequences was aligned using MAFFT v7.407 with FFT-NS-2 algorithm and default parameter settings [17,18]. MAFFTsuggested: (MAFFT, RRID:SCR_011811)Each sub-alignment was manually verified to remove sequences with Ns, not identified positions (denoted with IUPAC code) and gaps. IUPACsuggested: (IUPAC, RRID:SCR_005084)The “good-sequence” alignment by gene (N, E and RdRp) was used to identify nucleotide and haplotype diversity using DnaSP 5.10 software [20]. DnaSPsuggested: (DnaSP, RRID:SCR_003067)A representative sequence by haplotype was used to construct a haplotype alignment and then trees were generated using FastTree double precision version 2.1.10 [21] and visualized in the interactive tool Tree Of Life V4 (http://itol.embl.de) [22]. FastTreesuggested: (FastTree, RRID:SCR_015501)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: We detected the following sentences addressing limitations in the study:Despite no present evidence on false negative results for RdRp gene based assays, its inherent mutation rate (due to environmental pressure and its role as a virulence factor) and having account this gene showed low sensitivity [41] is an aspect that deserves further investigation It is important to note some limitations in the interpretations of our data. First, because all sequences were retrieved from public databases the accuracy of these sequences could not be entirely verified. In addition, given the most recent emergence of the virus in South America, it is possible that our analysis may represent a snapshot of the most recent evolutionary episodes and does not represent the entire developmental history of the different lineages since introduction. Further studies will be needed to expand our ability to characterize the complete and evolving evolutionary track of the virus. In summary, this preliminary analysis based on the genomic diversity of SARS-CoV-2 in South America demonstrates how the presence of changes in suggested target regions for primer annealing sites may preclude accurate molecular diagnosis of SARS-CoV-2 when targeting locations within the N-gene region. Our results, confirm the relatively conserved fitness of the E-gene region where no mutations were found, thus making it an ideal candidate for first-line screening in the South America. Due to the lack of resources and unavailability to acquire reagents and consumables for molecular diagnosis in many ...
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