Analysis of Continuous Mutation and Evolution on Circulating SARS-CoV-2. (September 2020)

• Record Type: Journal Article
• Authors: Yu, Jie-Mei; Zhang, Li-Shu; Fu, Yuan-Hui; Ji, Feng-Min; Xu, Han-Li; Huang, Jia-Qiang; Peng, Xiang-Lei; Zheng, Yan-Peng; Zhang, Ying; He, Jin-Sheng
• Is Part Of: Evolutionary bioinformatics online. Volume 16(2020)
• Publication Date: 2020-09
• Subjects: SARS-CoV-2 -- mutation dynamics -- SNP -- evolution -- clusters; Bioinformatics -- Periodicals; Evolutionary computation -- Periodicals; Genetic programming (Computer science) -- Periodicals; Computational Biology; Evolution, Molecular; Bioinformatics; Electronic journals; Periodicals; Fulltext; Internet Resources; Periodicals; Periodicals; 576.8
• DOI: 10.1177/1176934320954870
• Languages: English
• ISSNs: 1176-9343

Abstract

Monitoring the mutation and evolution of the virus is important for tracing its ongoing transmission and facilitating effective vaccine development. A total of 342 complete genomic sequences of SARS-CoV-2 were analyzed in this study. Compared to the reference genome reported in December 2019, 465 mutations were found, among which, 347 occurred in only 1 sequence, while 26 occurred in more than 5 sequences. For these 26 further identified as SNPs, 14 were closely linked and were grouped into 5 profiles. Phylogenetic analysis revealed the sequences formed 2 major groups. Most of the sequences in late period (March and April) constituted the Cluster II, while the sequences before March in this study and the reported S/L and A/B/C types in previous studies were all in Cluster I. The distributions of some mutations were specific geographically or temporally, the potential effect of which on the transmission and pathogenicity of SARS-CoV-2 deserves further evaluation and monitoring. Two mutations were found in the receptor-binding domain (RBD) but outside the receptor-binding motif (RBM), indicating that mutations may only have marginal biological effects but merit further attention. The observed novel sequence divergence is of great significance to the study of the transmission, pathogenicity, and development of an effective vaccine for SARS-CoV-2.