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Biomathematical models for genetic diversity analyses in complete genomes of SARS-CoV-2

Ramos Venancio, D. B.; Ramos, R. S.; Nascimento Filho, C. B.; Paulino, A. J.; Felix, P. T.

2020-10-02 health informatics
10.1101/2020.10.01.20205120 medRxiv
Show abstract

In this work, we evaluated the levels of genetic diversity in 38 complete genomes of SARS-CoV-2, publicly available on the National Center for Biotechnology Information (NCBI) platform and from six countries in South America (Brazil, Chile, Peru, Colombia, Uruguay and Venezuela with 16, 11, 1, 1, 1, 7 haplotypes, respectively), all with an extension of 29,906 bp and Phred values [≥] 40. These haplotypes were previously used for phylogenetic analyses, following the alignment protocols of the MEGA X software; where all gaps and unconserved sites were extracted for the construction of phylogenetic trees. The specific methodologies for Paired FST estimators, Molecular Variance (AMOVA), Genetic Distance, mismatch, demographic and spatial expansion analyses, molecular diversity and evolutionary divergence time analyses, were obtained using 20,000 random permutation.

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