Genome-wide in silico identification and characterization of Simple Sequence Repeats in diverse completed SARS-CoV-2 genomes

利用计算机模拟方法对多种已完成的SARS-CoV-2基因组中的简单序列重复进行全基因组识别和表征

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Abstract

Simple sequence repeats (SSRs) or, Microsatellites are short repeat sequences that have been extensively studied in eukaryotic (plants) and prokaryotic (bacteria) organisms. Compared to other organisms, the presence and incidence of SSR on viral genomes are less studied. With the emergence of novel infectious viruses over the past few decades, it is imperative to study the genetic diversity in such viruses to predict their evolutionary and functional changes over time. Following the emergence of SARS-CoV-2, we have assembled 121 complete genomes reported from 31 countries across the six continents for the identification and characterization of SSR repeats. Using two independent SSR identification tools, we have found remarkable consistency in the diversity of microsatellites pattern (38-42 per genome) found in the 121 analyzed SARS-CoV-2 genomes indication their important role for genome stability. Among the identified motifs, trinucleotide and hexanucleotide repeats were found to be the most abundant form followed by mono- and di-nucleotide. There were no tetra- or penta-nucleotide repeats in the analyzed SARS-CoV-2 genomes. The discovery of microsatellites in SARS-CoV-2 genomes may become useful for the population genetics, evolutionary analysis, strain identification and genetic variation.

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