Increased Frequency of Indels in Hypervariable Regions of SARS-CoV-2 Proteins-A Possible Signature of Adaptive Selection.
Increased Frequency of Indels in Hypervariable Regions of SARS-CoV-2 Proteins-A Possible Signature of Adaptive Selection.
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SARS-COV-2蛋白质高变量区域中indels的频率增加 - 自适应选择的可能标志。
DOI:
10.3389/fgene.2022.875406
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发表时间:
2022
影响因子:
3.7
通讯作者:
Godzik, Adam
中科院分区:
文献类型:
--
作者:
Alisoltani, Arghavan;Jaroszewski, Lukasz;Iyer, Mallika;Iranzadeh, Arash;Godzik, Adam
Most attention in the surveillance of evolving SARS-CoV-2 genome has been centered on nucleotide substitutions in the spike glycoprotein. We show that, as the pandemic extends into its second year, the numbers and ratio of genomes with in-frame insertions and deletions (indels) increases significantly, especially among the variants of concern (VOCs). Monitoring of the SARS-CoV-2 genome evolution shows that co-occurrence (i.e., highly correlated presence) of indels, especially deletions on spike N-terminal domain and non-structural protein 6 (NSP6) is a shared feature in several VOCs such as Alpha, Beta, Delta, and Omicron. Indels distribution is correlated with spike mutations associated with immune escape and growth in the number of genomes with indels coincides with the increasing population resistance due to vaccination and previous infections. Indels occur most frequently in the spike, but also in other proteins, especially those involved in interactions with the host immune system. We also showed that indels concentrate in regions of individual SARS-CoV-2 proteins known as hypervariable regions (HVRs) that are mostly located in specific loop regions. Structural analysis suggests that indels remodel viral proteins’ surfaces at common epitopes and interaction interfaces, affecting the virus’ interactions with host proteins. We hypothesize that the increased frequency of indels, the non-random distribution of them and their independent co-occurrence in several VOCs is another mechanism of response to elevated global population immunity.
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影响因子:
5.8
作者:
Gu, Zuguang;Eils, Roland;Schlesner, Matthias
通讯作者:
Schlesner, Matthias
DOI:
10.1126/science.abg3055
发表时间:
2021-04-09
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Davies NG;Abbott S;Barnard RC;Jarvis CI;Kucharski AJ;Munday JD;Pearson CAB;Russell TW;Tully DC;Washburne AD;Wenseleers T;Gimma A;Waites W;Wong KLM;van Zandvoort K;Silverman JD;CMMID COVID-19 Working Group;COVID-19 Genomics UK (COG-UK) Consortium;Diaz-Ordaz K;Keogh R;Eggo RM;Funk S;Jit M;Atkins KE;Edmunds WJ
通讯作者:
Edmunds WJ
影响因子:
8.8
作者:
Kimura I;Kosugi Y;Wu J;Zahradnik J;Yamasoba D;Butlertanaka EP;Tanaka YL;Uriu K;Liu Y;Morizako N;Shirakawa K;Kazuma Y;Nomura R;Horisawa Y;Tokunaga K;Ueno T;Takaori-Kondo A;Schreiber G;Arase H;Genotype to Phenotype Japan (G2P-Japan) Consortium;Motozono C;Saito A;Nakagawa S;Sato K
通讯作者:
Sato K
影响因子:
5
作者:
Kumar BK;Rohit A;Prithvisagar KS;Rai P;Karunasagar I;Karunasagar I
通讯作者:
Karunasagar I
DOI:
10.1056/nejmoa2102214
发表时间:
2021-05-20
期刊:
The New England journal of medicine
影响因子:
--
作者:
Madhi SA;Baillie V;Cutland CL;Voysey M;Koen AL;Fairlie L;Padayachee SD;Dheda K;Barnabas SL;Bhorat QE;Briner C;Kwatra G;Ahmed K;Aley P;Bhikha S;Bhiman JN;Bhorat AE;du Plessis J;Esmail A;Groenewald M;Horne E;Hwa SH;Jose A;Lambe T;Laubscher M;Malahleha M;Masenya M;Masilela M;McKenzie S;Molapo K;Moultrie A;Oelofse S;Patel F;Pillay S;Rhead S;Rodel H;Rossouw L;Taoushanis C;Tegally H;Thombrayil A;van Eck S;Wibmer CK;Durham NM;Kelly EJ;Villafana TL;Gilbert S;Pollard AJ;de Oliveira T;Moore PL;Sigal A;Izu A;NGS-SA Group;Wits-VIDA COVID Group
通讯作者:
Wits-VIDA COVID Group