Back

Estimated Spike Evolution and Impact of Emerging SARS-CoV-2 Variants

Lu, Y.; Han, K.; Xue, G.; Zheng, N.; Jin, G.

2021-05-10 infectious diseases
10.1101/2021.05.06.21256705
Show abstract

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes COVID-19, has been mutating and thus variants emerged. This suggests that SARS-CoV-2 could mutate at an unsteady pace. Supportive evidence comes from the accelerated evolution which was revealed by tracking mutation rates of the genomic location of Spike protein. This process is sponsored by a small portion of the virus population but not the largest viral clades. Moreover, it generally took one to six months for current variants that caused peaks of COVID-19 cases and deaths to survive selection pressure. Based on this statistic result and the above speedy Spike evolution, another upcoming peak would come around July 2021 and disastrously attack Africa, Asia, Europe, and North America. This is the prediction generated by a mathematical model on evolutionary spread. The reliability of this model and future trends out of it comes from the comprehensive consideration of factors mainly including mutation rate, selection course, and spreading speed. Notably, if the prophecy is true, then the new wave will be the first determined by accelerated Spike evolution.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
PLOS ONE
based on 1737 papers
Top 37%
13.4%
2
Scientific Reports
based on 701 papers
Top 8%
13.0%
3
Infection, Genetics and Evolution
based on 14 papers
Top 0.1%
10.4%
4
Infectious Disease Modelling
based on 50 papers
Top 2%
3.0%
5
Journal of Medical Virology
based on 95 papers
Top 3%
3.0%
6
Chaos, Solitons & Fractals
based on 17 papers
Top 1%
3.0%
7
Viruses
based on 79 papers
Top 1%
2.9%
8
Frontiers in Public Health
based on 135 papers
Top 10%
2.9%
50% of probability mass above
9
Heliyon
based on 57 papers
Top 3%
2.5%
10
Mathematical Biosciences
based on 15 papers
Top 0.6%
2.5%
11
Frontiers in Physics
based on 11 papers
Top 0.6%
1.8%
12
Mathematical Biosciences and Engineering
based on 14 papers
Top 1.0%
1.6%
13
Frontiers in Microbiology
based on 36 papers
Top 2%
1.4%
14
PLOS Pathogens
based on 35 papers
Top 1%
1.4%
15
Epidemics
based on 96 papers
Top 6%
1.4%
16
Briefings in Bioinformatics
based on 11 papers
Top 0.3%
1.4%
17
Virus Evolution
based on 26 papers
Top 0.9%
0.9%
18
International Journal of Infectious Diseases
based on 115 papers
Top 17%
0.8%
19
Emerging Microbes & Infections
based on 20 papers
Top 1%
0.8%
20
iScience
based on 74 papers
Top 7%
0.8%
21
Science
based on 46 papers
Top 8%
0.7%
22
Emerging Infectious Diseases
based on 84 papers
Top 12%
0.7%
23
Royal Society Open Science
based on 49 papers
Top 6%
0.7%
24
Frontiers in Immunology
based on 140 papers
Top 8%
0.7%
25
PeerJ
based on 46 papers
Top 12%
0.7%
26
Frontiers in Medicine
based on 99 papers
Top 21%
0.7%