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严重急性呼吸综合征冠状病毒2（SARS-CoV-2）变体组合变化及德尔塔变体（B.1.617.2）在全球传播增加中的范式转变。

A Paradigm Shift in the Combination Changes of SARS-CoV-2 Variants and Increased Spread of Delta Variant (B.1.617.2) across the World.

作者信息

Chakraborty Chiranjib, Sharma Ashish Ranjan, Bhattacharya Manojit, Agoramoorthy Govindasamy, Lee Sang-Soo

机构信息

1Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal 700126, India.

2Institute for Skeletal Aging & Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Gangwon-do, Korea.

出版信息

Aging Dis. 2022 Jun 1;13(3):927-942. doi: 10.14336/AD.2021.1117. eCollection 2022 Jun.

DOI:10.14336/AD.2021.1117
PMID:35656100
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9116911/
Abstract

Since September 2020, the SARS-CoV-2 variants have gained their dominance worldwide, especially in Kenya, Italy, France, the UK, Turkey, Indonesia, India, Finland, Ireland, Singapore, Denmark, Germany, and Portugal. In this study, we developed a model on the frequency of delta variants across 28 countries (R= 0.1497), displaying the inheritance of mutations during the generation of the delta variants with 123,526 haplotypes. The country-wise haplotype network showed the distribution of haplotypes in USA (10,174), Denmark (5,637), India (4,089), Germany (2,350), Netherlands (1,899), Sweden (1,791), Italy (1,720), France (1,293), Ireland (1,257), Belgium (1,207), Singapore (1,193), Portugal (1,184) and Spain (1,133). Our analysis shows the highest haplotype in Europe with 84% and the lowest in Australia with 0.00001%. A model of scatter plot was generated with a regression line which provided the estimated rate of mutation, including 24.048 substitutions yearly. Our study concluded that the high global prevalence of the delta variants is due to a high frequency of infectivity, supporting the paradigm shift of the viral variants.

摘要

自2020年9月以来，严重急性呼吸综合征冠状病毒2（SARS-CoV-2）变体在全球占据主导地位，尤其是在肯尼亚、意大利、法国、英国、土耳其、印度尼西亚、印度、芬兰、爱尔兰、新加坡、丹麦、德国和葡萄牙。在本研究中，我们建立了一个关于28个国家德尔塔变体频率的模型（R = 0.1497），展示了在具有123,526个单倍型的德尔塔变体产生过程中突变的遗传情况。按国家划分的单倍型网络显示了单倍型在美国（10,174个）、丹麦（5,637个）、印度（4,089个）、德国（2,350个）、荷兰（1,899个）、瑞典（1,791个）、意大利（1,720个）、法国（1,293个）、爱尔兰（1,257个）、比利时（1,207个）、新加坡（1,193个）、葡萄牙（1,184个）和西班牙（1,133个）的分布情况。我们的分析表明，欧洲的单倍型比例最高，为84%，而澳大利亚的最低，为0.00001%。生成了一个带有回归线的散点图模型，该模型提供了估计的突变率，包括每年24.048个替换。我们的研究得出结论，德尔塔变体在全球的高流行率是由于高感染频率，这支持了病毒变体的范式转变。

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