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Updated: Dec 13, 2025
08:57
Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
Published on: August 14, 2018
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Application of Bayesian phylogenetic inference modelling for evolutionary genetic analysis and dynamic changes in
Tong Shao1, Wenfang Wang1, Meiyu Duan2
1College of Basic Medical Science, Jilin University.
Briefings in Bioinformatics
|August 4, 2020
Summary
This study analyzed 777 novel coronavirus (2019-nCoV) genomes, finding a low mutation rate similar to SARS. Evolutionary analysis suggests 2019-nCoV activity began before late 2019, aiding in understanding viral spread and virulence.
Area of Science:
- Genomics
- Virology
- Bioinformatics
Background:
- The novel coronavirus (2019-nCoV) outbreak caused global viral pneumonia.
- Understanding the genetic makeup and evolution of 2019-nCoV is critical for public health.
Purpose of the Study:
- To perform bioinformatics analysis on 777 2019-nCoV strains.
- To compare the genetic characteristics of 2019-nCoV with the SARS virus.
- To investigate the evolutionary history and potential recombination sites of 2019-nCoV.
Main Methods:
- Acquisition of 777 2019-nCoV whole genome sequences from a public gene bank.
- Bioinformatics analysis including mutation rate assessment, protein similarity comparison, and identification of potential modification sites.
- Skyline-based population genetics analysis to infer evolutionary history and recombination.
Main Results:
- The mutation rate of 2019-nCoV is currently low, comparable to SARS.
- Significant similarities were found in the E protein and potential phosphorylation/glycosylation sites between 2019-nCoV and SARS.
- Two potential recombination sites were identified, and population activity was estimated to predate late 2019.
Conclusions:
- Evolutionary genetic analysis provides insights into 2019-nCoV spread and virulence.
- Understanding adaptive evolution is crucial for precise medicine and prevention strategies.
- The study highlights the utility of genomic surveillance in managing emerging infectious diseases.
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