Ancestral Area Reconstruction of SARS-CoV-2 Indicates Multiple Sources of Entry into Australia

Q3 Computer Science Open Bioinformatics Journal Pub Date : 2020-06-28 DOI:10.2174/1875036202114010013
N. Phan, H. Faddy, R. Flower, K. Spann, Eileen V. Roulis
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Abstract

The ongoing COVID-19 pandemic is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). International travels to Australia during the early stages of the pandemic prior to border closure provided avenues for this virus to spread into Australia. Studies of SARS-CoV-2 biogeographical distribution can contribute to the understanding of the viral original sources to Australia. This study aimed to investigate the clonality and ancestral sources of Australian SARS-CoV-2 isolates using phylogenetic methods. We retrieved 1,346 complete genomes from Australia along with 153 genomes from other countries from the GISAID and NCBI nucleotide databases as of the 14th May 2020. A representative dataset of 270 Australian and international sequences were resulted from performance of nucleotide redundancy reduction by CD-HIT. We then constructed a median-joining network by Network 10.1.0.0, and phylogenies by IQ-Tree, BEAST and FastTree. The Bayesian statistical dispersal-vicariance analysis (S-DIVA) and Bayesian interference for discrete areas (BayArea) built in RASP were used to reconstruct ancestral ranges over the phylogenetic trees. Two major clusters, from Europe and from Asia, were observed on the network of 183 haplotypes with distinct nucleotide variations. Analysis of ancestral area reconstruction over the phylogenies indicated most Australian SARS-CoV-2 sequences were disseminated from Europe and East Asia-Southeast Asia. The finding is genetic evidence for the geographic origins of the Australian SARS-CoV-2 sequences. Most Australian sequences were genetically similar to those from Europe and East Asia-Southeast Asia, which were also suggested as two main sources of introduction of SARS-CoV-2 to Australia.
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严重急性呼吸系统综合征冠状病毒2型祖先区重建表明进入澳大利亚的多种来源
持续的新冠肺炎大流行是由严重急性呼吸综合征冠状病毒2(SARS-CoV-2)引起的。在边境关闭前的疫情早期,前往澳大利亚的国际旅行为这种病毒传播到澳大利亚提供了途径。对严重急性呼吸系统综合征冠状病毒2型的生物地理分布的研究有助于了解澳大利亚的病毒原始来源。本研究旨在使用系统发育方法调查澳大利亚严重急性呼吸系统综合征冠状病毒2型分离株的克隆性和祖先来源。截至2020年5月14日,我们从GISAID和NCBI核苷酸数据库中检索了1346个来自澳大利亚的完整基因组,以及153个来自其他国家的基因组。270个澳大利亚和国际序列的代表性数据集是由CD-HIT的核苷酸冗余减少性能产生的。然后,我们通过网络10.1.0.0构建了一个中值连接网络,并通过IQ树、BEAST和FastTree构建了系统发育。使用建立在RASP中的贝叶斯统计扩散替代分析(S-DIVA)和离散区域贝叶斯干扰(BayArea)来重建系统发育树上的祖先范围。在183个具有不同核苷酸变异的单倍型网络上观察到来自欧洲和亚洲的两个主要集群。对祖先区域重建的系统发育分析表明,大多数澳大利亚严重急性呼吸系统综合征冠状病毒2型序列分布于欧洲和东亚东南亚。这一发现是澳大利亚严重急性呼吸系统综合征冠状病毒2型序列地理起源的遗传学证据。大多数澳大利亚序列在基因上与欧洲和东亚-东南亚的序列相似,这也被认为是将严重急性呼吸系统综合征冠状病毒2型引入澳大利亚的两个主要来源。
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来源期刊
Open Bioinformatics Journal
Open Bioinformatics Journal Computer Science-Computer Science (miscellaneous)
CiteScore
2.40
自引率
0.00%
发文量
4
期刊介绍: The Open Bioinformatics Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, letters, clinical trial studies and guest edited single topic issues in all areas of bioinformatics and computational biology. The coverage includes biomedicine, focusing on large data acquisition, analysis and curation, computational and statistical methods for the modeling and analysis of biological data, and descriptions of new algorithms and databases. The Open Bioinformatics Journal, a peer reviewed journal, is an important and reliable source of current information on the developments in the field. The emphasis will be on publishing quality articles rapidly and freely available worldwide.
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