SARS-CoV2-iSNV SARS-CoV2 iSNV identification
Introduction
The mutations make uncertain to SARS-CoV-2 disease control and vaccine development. At population-level, single nucleotide polymorphism (SNPs) have displayed mutations for illustrating epidemiology, transmission, and pathogenesis of COVID-19. These mutations are to be expected by the analysis of intra-host level, which presented as intra-host variations (iSNVs). Here, we performed spatio-temporal analysis on iSNVs in 402 clinical samples from 170 patients, and observed an increase of genetic diversity along the day post symptom onset within individual patient and among subpopulations divided by gender, age, illness severity and viral shedding time, suggested a positive selection at intra-host level. The comparison of iSNVs and SNPs displayed that most of nonsynonymous mutations were not fixed suggested a purifying selection. This two-step fitness selection enforced iSNVs containing more nonsynonymous mutations, that highlight the potential characters of SARS-CoV-2 for viral infections and global transmissions.
Publications
No Publication Information
Credits
- Hui Zeng zenghui@ccmu.edu.cn Investigator
Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, China
Community Ratings
Usability | Efficiency | Reliability | Rated By |
---|---|---|---|
0 user | |||
Sign in to rate |
Accession | BT007091 |
---|---|
Tool Type | Pipeline & Protocol |
Category | SNP detection |
Platforms | Linux/Unix |
Technologies | BASH |
User Interface | Terminal Command Line |
Input Data | FASTA |
Latest Release | 1.0 (February 1, 2021) |
Download Count | 778 |
Country/Region | China |
Submitted By | Hui Zeng |