Analyses of SARS - CoV -2 with multi - algorithm phylogenetic trees based on whole genome sequences
Chinese Journal of Virology
; 36(6):1014-1019, 2020.
Article
in Chinese
| GIM | ID: covidwho-2040439
ABSTRACT
SARS-CoV-2 is an RNA virus, and has a high mutation rate. The outbreak of coronavirus disease 2019 (COVID-19) began in Wuhan, Hubei Province, China in December 2019. Since then, a certain number of mutations have occurred in the SARS -CoV -2 genorne. These mutations can be classified by phylogenetic analyses to help find the infection source. However, the overall mutation rate is low, and the structure of a phylogenetic tree constructed by a single algorithm is not sufficiently reliable. To improve the reliability of classification, Paup, MrBayes, and MEGA were used to construct phylogenetic trees by different lgorithms to analyze the genomes of all SARS-CoV-2 viruses in GenBank. In all phylogenetic trees, some sequences were clustered together in a similar pattern that coincided with the intersection of virus hosts. By comparing and analyzing similar structures between multiple phylogenetic trees, some information about the infection source was revealed. As SARS-CoV-2 evolves and genomic databases become enriched, the method of screening will provide increasingly useful information about infection sources and pathways.
phylogenetics; coronavirus disease 2019; genomes; mutations; human diseases; viral diseases; Severe acute respiratory syndrome coronavirus 2; man; China; Hubei; APEC countries; East Asia; Asia; high Human Development Index countries; upper-middle income countries; Severe acute respiratory syndrome-related coronavirus; Betacoronavirus; Coronavirinae; Coronaviridae; Nidovirales; positive-sense ssRNA Viruses; ssRNA Viruses; RNA Viruses; viruses; Central Southern China; Homo; Hominidae; primates; mammals; vertebrates; Chordata; animals; eukaryotes; People's Republic of China; SARS-CoV-2; Hopei; Hupei; viral infections
Full text:
Available
Collection:
Databases of international organizations
Database:
GIM
Language:
Chinese
Journal:
Chinese Journal of Virology
Year:
2020
Document Type:
Article
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