INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110007, India.
INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110007, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
Microbiol Res. 2022 Sep;262:127099. doi: 10.1016/j.micres.2022.127099. Epub 2022 Jun 25.
Emergence of SARS-CoV-2 VOCs at different time points through COVID-19 pandemic raised concern for increased transmissibility, infectivity and vaccination breakthroughs.
1567 international travellers plus community transmission COVID-19 cases were analysed for mutational profile of VOCS, that led to notable waves in India, namely Alpha, Delta, and Omicron. Spike mutations in Linkage Disequilibrium were investigated for potential impact on structural and functional changes of Spike-ACE2.
ORF1ab and spike harboured diverse mutational signatures for each lineage. B.1.617.2 and AY. * demonstrated comparable profile, yet non-clade defining mutations were majorly unique between international vs community samples. Contrarily, Omicron lineages showed substantial overlap in non-clade defining mutations, signifying early phase of transmission and evolution within Indian community. Mutations in LD for Alpha [N501Y, A570D, D1118H, S982A], Delta [P681R, L452R, EFR:156-158 G, D950N, G142D] and Omicron [P681H, D796Y, N764K, N969K, N501Y, S375F] resulted in decreased binding affinity of Spike-ACE2 for Alpha and BA.1 whereas Delta, Omicron and BA.2 demonstrated strong binding.
Genomic surveillance tracked spread of VOCs in international travellers' vs community transmission. Behavioural transmission patterns of variants, based on selective advantage incurred by spike mutations, led us to predict sudden takeover of Delta over Alpha and BA.2 over BA.1 in India.
随着 COVID-19 大流行,不同时间点出现的 SARS-CoV-2 VOCs 引起了人们对其传播力、感染力和疫苗突破能力增强的关注。
分析了 1567 名国际旅行者和社区传播的 COVID-19 病例,以了解导致印度出现明显疫情浪潮的 VOCS 的突变特征,即 Alpha、Delta 和 Omicron。研究了 Spike-ACE2 结构和功能变化的潜在影响的 Spike 中连锁不平衡的突变。
ORF1ab 和 Spike 为每个谱系都具有不同的突变特征。B.1.617.2 和 AY. * 表现出相似的特征,但国际与社区样本之间的非谱系定义突变主要是独特的。相反,Omicron 谱系在非谱系定义突变中表现出显著的重叠,表明在印度社区内传播和进化的早期阶段。Alpha [N501Y、A570D、D1118H、S982A]、Delta [P681R、L452R、EFR:156-158 G、D950N、G142D] 和 Omicron [P681H、D796Y、N764K、N969K、N501Y、S375F] 中的 LD 突变导致 Spike-ACE2 与 Alpha 和 BA.1 的结合亲和力降低,而 Delta、Omicron 和 BA.2 则表现出很强的结合。
基因组监测跟踪了 VOCs 在国际旅行者与社区传播中的传播。基于 Spike 突变带来的选择性优势,变体的传播行为模式使我们预测到 Delta 将超过 Alpha,BA.2 将超过 BA.1 在印度的突然接管。