Suppr超能文献

奥密克戎变异株流行期间,BA.1 病毒在巴基斯坦各省的连续传入和传播。

Sequential viral introductions and spread of BA.1 across Pakistan provinces during the Omicron wave.

机构信息

Department of Pathology and Laboratory Medicine, Aga Khan University, Karachi, 74800, Pakistan.

Fogarty International Center, U.S. National Institutes of Health, 16 Center Drive, Bethesda, MD, 20892, USA.

出版信息

BMC Genomics. 2023 Aug 3;24(1):432. doi: 10.1186/s12864-023-09539-3.

Abstract

BACKGROUND

COVID-19 waves caused by specific SARS-CoV-2 variants have occurred globally at different times. We focused on Omicron variants to understand the genomic diversity and phylogenetic relatedness of SARS-CoV-2 strains in various regions of Pakistan.

METHODS

We studied 276,525 COVID-19 cases and 1,031 genomes sequenced from December 2021 to August 2022. Sequences were analyzed and visualized using phylogenetic trees.

RESULTS

The highest case numbers and deaths were recorded in Sindh and Punjab, the most populous provinces in Pakistan. Omicron variants comprised 93% of all genomes, with BA.2 (32.6%) and BA.5 (38.4%) predominating. The first Omicron wave was associated with the sequential identification of BA.1 in Sindh, then Islamabad Capital Territory, Punjab, Khyber Pakhtunkhwa (KP), Azad Jammu Kashmir (AJK), Gilgit-Baltistan (GB) and Balochistan. Phylogenetic analysis revealed Sindh to be the source of BA.1 and BA.2 introductions into Punjab and Balochistan during early 2022. BA.4 was first introduced in AJK and BA.5 in Punjab. Most recent common ancestor (MRCA) analysis revealed relatedness between the earliest BA.1 genome from Sindh with Balochistan, AJK, Punjab and ICT, and that of first BA.1 from Punjab with strains from KPK and GB.

CONCLUSIONS

Phylogenetic analysis provides insights into the introduction and transmission dynamics of the Omicron variant in Pakistan, identifying Sindh as a hotspot for viral dissemination. Such data linked with public health efforts can help limit surges of new infections.

摘要

背景

由特定 SARS-CoV-2 变体引起的 COVID-19 浪潮在全球不同时间发生。我们专注于奥密克戎变体,以了解巴基斯坦各地区 SARS-CoV-2 株的基因组多样性和系统发育关系。

方法

我们研究了 2021 年 12 月至 2022 年 8 月期间的 276,525 例 COVID-19 病例和 1,031 个测序基因组。使用系统发育树分析和可视化序列。

结果

信德省和旁遮普省记录的病例数和死亡人数最多,这是巴基斯坦人口最多的两个省份。奥密克戎变体占所有基因组的 93%,其中 BA.2(32.6%)和 BA.5(38.4%)占主导地位。第一波奥密克戎浪潮与在信德省、伊斯兰堡首都区、旁遮普省、开伯尔-普赫图赫瓦省(KP)、阿扎德查谟和克什米尔(AJK)、吉尔吉特-巴尔蒂斯坦(GB)和俾路支省先后发现 BA.1 的顺序有关。系统发育分析显示,2022 年初,信德省是 BA.1 和 BA.2 传入旁遮普省和俾路支省的源头。BA.4 首次在 AJK 引入,BA.5 在旁遮普省引入。最近共同祖先(MRCA)分析显示,来自信德省最早的 BA.1 基因组与俾路支省、AJK、旁遮普省和 ICT 的基因组以及来自旁遮普省的最早 BA.1 基因组与来自 KP 和 GB 的基因组有关。

结论

系统发育分析提供了对奥密克戎变体在巴基斯坦传入和传播动态的深入了解,确定信德省是病毒传播的热点。此类数据与公共卫生措施相结合,有助于限制新感染浪潮的发生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d0c/10399012/d90f6563ae3c/12864_2023_9539_Fig1_HTML.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