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利用纳米孔测序技术对2020年泰国非洲马瘟疫情中的非洲马瘟病毒(AHSV)进行特征分析。

Use of nanopore sequencing to characterize african horse sickness virus (AHSV) from the African horse sickness outbreak in thailand in 2020.

作者信息

Toh Xinyu, Wang Yifan, Rajapakse Menaka Priyadharsani, Lee Bernett, Songkasupa Tapanut, Suwankitwat Nutthakarn, Kamlangdee Attapon, Judith Fernandez Charlene, Huangfu Taoqi

机构信息

Center for Animal & Veterinary Sciences, Professional and Scientific Services, Animal and Veterinary Service, National Parks Board (NParks), Singapore.

Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore.

出版信息

Transbound Emerg Dis. 2022 May;69(3):1010-1019. doi: 10.1111/tbed.14056. Epub 2021 Mar 30.

Abstract

African horse sickness (AHS) is a highly infectious and deadly disease despite availability of vaccines. Molecular characterization of African horse sickness virus (AHSV) detected from the March 2020 Thailand outbreak was carried out by whole-genome sequencing using Nanopore with a Sequence-Independent Single Primer Amplification (SISPA) approach. Nucleotide sequence of the whole genome was compared with closest matching AHSV strains using phylogenetic analyses and the AHSV-1 virus shared high sequence identity with isolates from the same outbreak. Substitution analysis revealed non-synonymous and synonymous substitutions in the VP2 gene as compared to circulating South African strains. The use of sequencing technologies, such as Nanopore with SISPA, has enabled rapid detection, identification and detailed genetic characterization of the AHS virus for informed decision-making and implementation of disease control measures. Active genetic information sharing has also allowed emergence of AHSV to be better monitored on a global basis.

摘要

尽管有疫苗可用,但非洲马瘟(AHS)仍是一种极具传染性和致命性的疾病。采用纳米孔测序技术结合序列无关单引物扩增(SISPA)方法,对2020年3月泰国疫情中检测到的非洲马瘟病毒(AHSV)进行了全基因组测序,以进行分子特征分析。通过系统发育分析,将全基因组的核苷酸序列与最匹配的AHSV毒株进行比较,结果显示AHSV-1病毒与同一疫情中的分离株具有高度的序列同一性。替换分析表明,与南非流行毒株相比,VP2基因存在非同义替换和同义替换。使用纳米孔测序技术结合SISPA等测序技术,能够快速检测、鉴定AHS病毒,并对其进行详细的基因特征分析,从而为疾病控制措施的制定和实施提供依据。积极的基因信息共享也有助于在全球范围内更好地监测AHSV的出现。

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