Suppr超能文献

巴勒斯坦SARS-CoV-2 Delta变异株的流行病学特征与基因变异

Epidemiological Characterization and Genetic Variation of the SARS-CoV-2 Delta Variant in Palestine.

作者信息

Ereqat Suheir, Alikhan Nabil-Fareed, Al-Jawabreh Amer, Matthews Michaela, Al-Jawabreh Ahmed, de Oliveira Martins Leonardo, Trotter Alexander J, Al-Kaila Mai, Page Andrew J, Pallen Mark J, Nasereddin Abedelmajeed

机构信息

Biochemistry and Molecular Biology Department, Faculty of Medicine, Al-Quds University, Abu Dis, Jerusalem P.O. Box 51000, Palestine.

Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK.

出版信息

Pathogens. 2024 Jun 20;13(6):521. doi: 10.3390/pathogens13060521.

Abstract

The emergence of new SARS-CoV-2 variants in Palestine highlights the need for continuous genetic surveillance and accurate screening strategies. This case series study aimed to investigate the geographic distribution and genetic variation of the SARS-CoV-2 Delta Variant in Palestine in August 2021. Samples were collected at random in August 2021 ( = 571) from eight districts in the West Bank, Palestine. All samples were confirmed as positive for COVID-19 by RT-PCR. The samples passed the quality control test and were successfully sequenced using the ARTIC protocol. The Delta Variant was revealed to have four dominant lineages: B.1.617 (19%), AY.122 (18%), AY.106 (17%), and AY.121 (13%). The study revealed eight significant purely spatial clusters ( < 0.005) distributed in the northern and southern parts of Palestine. Phylogenetic analysis of SARS-CoV-2 genomes ( = 552) showed no geographically specific clades. The haplotype network revealed three haplogroups without any geographic distribution. Chronologically, the Delta Variant peak in Palestine was shortly preceded by the one in the neighboring Israeli community and shortly followed by the peak in Jordan. In addition, the study revealed an extremely intense transmission network of the Delta Variant circulating between the Palestinian districts as hubs (SHR ≈ 0.5), with Al-Khalil, the district with the highest prevalence of COVID-19, witnessing the highest frequency of transitions. Genetic diversity analysis indicated closely related haplogroups, as haplotype diversity (Hd) is high but has low nucleotide diversity (π). However, nucleotide diversity (π) in Palestine is still higher than the global figures. Neutrality tests were significantly ( < 0.05) low, including Tajima's D, Fu-Li's F, and Fu-Li's D, suggesting one or more of the following: population expansion, selective sweep, and natural negative selection. Wright's F-statistic (Fst) showed genetic differentiation (Fst > 0.25) with low to medium gene flow (Nm). Recombination events were minimal between clusters (R) and between adjacent sites (R). The study confirms the utility of the whole genome sequence as a surveillance system to track the emergence of new SARS-CoV-2 variants for any possible geographical association and the use of genetic variation analysis and haplotype networking to delineate any minimal change or slight deviation in the viral genome from a reference strain.

摘要

巴勒斯坦出现新型严重急性呼吸综合征冠状病毒2(SARS-CoV-2)变种,凸显了持续进行基因监测和准确筛查策略的必要性。本病例系列研究旨在调查2021年8月巴勒斯坦SARS-CoV-2德尔塔变种的地理分布和基因变异情况。2021年8月(n = 571)从巴勒斯坦约旦河西岸的八个地区随机采集样本。所有样本经逆转录聚合酶链反应(RT-PCR)确认为新冠病毒病(COVID-19)阳性。样本通过了质量控制测试,并使用ARTIC方案成功测序。结果显示,德尔塔变种有四个主要谱系:B.1.617(19%)、AY.122(18%)、AY.106(17%)和AY.121(13%)。该研究发现了八个显著的纯空间聚集区(p < 0.005),分布在巴勒斯坦的北部和南部。对552个SARS-CoV-2基因组进行的系统发育分析未显示出地理特异性分支。单倍型网络显示有三个单倍群,没有任何地理分布特征。按时间顺序来看,巴勒斯坦德尔塔变种的峰值出现之前不久,其邻国以色列社区出现了峰值,之后不久约旦也出现了峰值。此外,该研究还发现,作为传播中心的巴勒斯坦各地区之间,德尔塔变种的传播网络极其密集(标准化发病率比≈0.5),其中新冠病毒病患病率最高的哈利勒地区,病毒变异的频率也最高。基因多样性分析表明,单倍群之间密切相关,因为单倍型多样性(Hd)较高,但核苷酸多样性(π)较低。不过,巴勒斯坦的核苷酸多样性(π)仍高于全球数据。中性检验结果显著较低(p < 0.05),包括 Tajima's D、Fu-Li's F 和 Fu-Li's D,这表明可能存在以下一种或多种情况:种群扩张、选择性清除和自然负选择。赖特氏F统计量(Fst)显示存在基因分化(Fst > 0.25),基因流(Nm)低至中等。聚类之间(R)和相邻位点之间(R)的重组事件极少。该研究证实了全基因组序列作为监测系统的效用,可用于追踪新出现的SARS-CoV-2变种及其可能的地理关联,也证实了利用基因变异分析和单倍型网络来描绘病毒基因组相对于参考毒株的任何微小变化或轻微偏差的效用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be91/11206313/cf751186607a/pathogens-13-00521-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验