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马来西亚沙巴州新冠病毒传播时间线:追踪分子进化

Timeline of SARS-CoV-2 Transmission in Sabah, Malaysia: Tracking the Molecular Evolution.

作者信息

Balakrishnan Krishnan Nair, Yew Chee Wei, Chong Eric Tzyy Jiann, Daim Sylvia, Mohamad Nurul Elyani, Rodrigues Kenneth, Lee Ping-Chin

机构信息

Biotechnology Research Institute, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia.

Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia.

出版信息

Pathogens. 2023 Aug 15;12(8):1047. doi: 10.3390/pathogens12081047.

Abstract

BACKGROUND

The COVID-19 pandemic poses an unprecedented public health challenge in Malaysia. The impact of COVID-19 varies between countries, including geographically divided states within a country. The deadly transmission of COVID-19 has taken a heavy toll in Sabah, Malaysia's third most populous state, contributing nearly 10% to the recorded national death toll as of 31 December 2022. Although several SARS-CoV-2 genome sequences have been analysed in Malaysia, molecular epidemiology data from Sabah focusing on the diversity and evolution of SARS-CoV-2 variants are still lacking. This study examines the major SARS-CoV-2 variants and emerging mutations from Sabah, the Malaysian Borneo, which is geographically divided from West Malaysia by the South China Sea.

METHODS

A total of 583 COVID-19 samples were subjected to whole genome sequencing and analysed with an additional 1123 Sabah COVID-19 sequences retrieved from the GISAID EpiCoV consortium. Nextclade and Pangolin were used to classify these sequences according to the clades and lineages. To determine the molecular evolutionary characteristics, Bayesian time-scaled phylogenetic analysis employing the maximum likelihood algorithm was performed on selected SARS-CoV-2 genome sequences, using the Wuhan-Hu-1 sequence as a reference.

RESULTS

Sabah was affected starting from the second COVID-19 wave in Malaysia, and the early sequences were classified under the O clade. The clade was gradually replaced during subsequent waves by G, GH, GK and GRA, with the latter being dominant as of December 2022. Phylogenetically, the Delta isolates in this study belong to the three main subclades 21A, 21J and 21I, while Omicron isolates belong to 21M, 21L and 22B. The time-scaled phylogeny suggested that SARS-CoV-2 introduced into Sabah originated from Peninsular Malaysia in early March 2020, and phylodynamic analysis indicated that increased viral spread was observed in early March and declined in late April, followed by an evolutionary stationary phase in June 2020.

CONCLUSION

Continuous molecular epidemiology of SARS-CoV-2 in Sabah will provide a deeper understanding of the emergence and dominance of each variant in the locality, thus facilitating public health intervention measures.

摘要

背景

新冠疫情给马来西亚带来了前所未有的公共卫生挑战。新冠疫情的影响在不同国家有所不同,包括一个国家内地理上分隔的各个州。新冠病毒的致命传播在马来西亚人口第三多的沙巴州造成了沉重损失,截至2022年12月31日,该州死亡人数占全国记录死亡人数的近10%。尽管马来西亚已经分析了多个严重急性呼吸综合征冠状病毒2(SARS-CoV-2)基因组序列,但沙巴州关于SARS-CoV-2变异株多样性和进化的分子流行病学数据仍然匮乏。本研究调查了来自马来西亚婆罗洲沙巴州的主要SARS-CoV-2变异株和新出现的突变,沙巴州在地理上被南海与马来西亚半岛分隔开来。

方法

对总共583份新冠病毒样本进行全基因组测序,并与从全球共享流感数据倡议组织(GISAID)EpiCoV数据库中检索到的另外1123条沙巴州新冠病毒序列一起进行分析。使用Nextclade和穿山甲软件根据进化枝和谱系对这些序列进行分类。为了确定分子进化特征,以武汉-胡-1序列为参考,对选定的SARS-CoV-2基因组序列采用最大似然算法进行贝叶斯时间尺度系统发育分析。

结果

沙巴州从马来西亚第二波新冠疫情开始受到影响,早期序列被归类为O进化枝。在随后的疫情波次中,该进化枝逐渐被G、GH、GK和GRA取代,到2022年12月时GRA成为优势进化枝。在系统发育上,本研究中的德尔塔毒株分离株属于三个主要亚分支21A、21J和21I,而奥密克戎毒株分离株属于21M、21L和22B。时间尺度系统发育分析表明,引入沙巴州的SARS-CoV-2起源于2020年3月初的马来西亚半岛,系统发育动力学分析表明,病毒传播在3月初增加,4月底下降,随后在2020年6月进入进化静止期。

结论

对沙巴州SARS-CoV-2进行持续的分子流行病学研究,将更深入地了解当地每种变异株的出现和优势情况,从而促进公共卫生干预措施的实施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/229f/10459040/70ecea53f27d/pathogens-12-01047-g001.jpg

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