The Runaway Evolution of SARS-CoV-2 Leading to the Highly Evolved Delta Strain.
The Runaway Evolution of SARS-CoV-2 Leading to the Highly Evolved Delta Strain.
复制标题
SARS-CoV-2 的失控进化导致高度进化的 Delta 毒株
DOI:
10.1093/molbev/msac046
复制
发表时间:
2022-03-02
影响因子:
10.7
通讯作者:
Wen H
中科院分区:
文献类型:
--
作者:
Ruan Y;Hou M;Tang X;He X;Lu X;Lu J;Wu CI;Wen H
In new epidemics after the host shift, the pathogens may experience accelerated evolution driven by novel selective pressures. When the accelerated evolution enters a positive feedback loop with the expanding epidemics, the pathogen’s runaway evolution may be triggered. To test this possibility in coronavirus disease 2019 (COVID-19), we analyze the extensive databases and identify five major waves of strains, one replacing the previous one in 2020–2021. The mutations differ entirely between waves and the number of mutations continues to increase, from 3-4 to 21-31. The latest wave in the fall of 2021 is the Delta strain which accrues 31 new mutations to become highly prevalent. Interestingly, these new mutations in Delta strain emerge in multiple stages with each stage driven by 6–12 coding mutations that form a fitness group. In short, the evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from the oldest to the youngest wave, and from the earlier to the later stages of the Delta wave, is a process of acceleration with more and more mutations. The global increase in the viral population size (M(t), at time t) and the mutation accumulation (R(t)) may have indeed triggered the runaway evolution in late 2020, leading to the highly evolved Alpha and then Delta strain. To suppress the pandemic, it is crucial to break the positive feedback loop between M(t) and R(t), neither of which has yet to be effectively dampened by late 2021. New waves after Delta, hence, should not be surprising.
登录
查看更多内容
DOI:
10.1126/science.abe8499
发表时间:
2020-12-18
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Hou YJ;Chiba S;Halfmann P;Ehre C;Kuroda M;Dinnon KH 3rd;Leist SR;Schäfer A;Nakajima N;Takahashi K;Lee RE;Mascenik TM;Graham R;Edwards CE;Tse LV;Okuda K;Markmann AJ;Bartelt L;de Silva A;Margolis DM;Boucher RC;Randell SH;Suzuki T;Gralinski LE;Kawaoka Y;Baric RS
通讯作者:
Baric RS
影响因子:
10.7
作者:
Katoh K;Standley DM
通讯作者:
Standley DM
影响因子:
64.5
作者:
Korber, Bette;Fischer, Will M.;Montefiori, David C.
通讯作者:
Montefiori, David C.
影响因子:
64.8
作者:
Kemp SA;Collier DA;Datir RP;Ferreira IATM;Gayed S;Jahun A;Hosmillo M;Rees-Spear C;Mlcochova P;Lumb IU;Roberts DJ;Chandra A;Temperton N;CITIID-NIHR BioResource COVID-19 Collaboration;COVID-19 Genomics UK (COG-UK) Consortium;Sharrocks K;Blane E;Modis Y;Leigh KE;Briggs JAG;van Gils MJ;Smith KGC;Bradley JR;Smith C;Doffinger R;Ceron-Gutierrez L;Barcenas-Morales G;Pollock DD;Goldstein RA;Smielewska A;Skittrall JP;Gouliouris T;Goodfellow IG;Gkrania-Klotsas E;Illingworth CJR;McCoy LE;Gupta RK
通讯作者:
Gupta RK
影响因子:
5.4
作者:
Guo H;Hu BJ;Yang XL;Zeng LP;Li B;Ouyang S;Shi ZL
通讯作者:
Shi ZL