Oakey J, Smith C, Underwood D, Afsharnasab M, Alday-Sanz V, Dhar A, Sivakumar S, Sahul Hameed A S, Beattie K, Crook A
Biosecurity Sciences Laboratory, Biosecurity Queensland, Queensland Department of Agriculture and Fisheries, 39 Kessels Road, Coopers Plains, QLD, 4108, Australia.
Department of Aquatic Animal Health and Diseases, Iranian Fisheries Research Organization, Tehran, Iran.
Arch Virol. 2019 Aug;164(8):2061-2082. doi: 10.1007/s00705-019-04265-2. Epub 2019 May 27.
White spot disease, caused by infection with white spot syndrome virus (WSSV), is a serious panzootic affecting prawn aquaculture. The disease has spread rapidly around the prawn-culturing regions of the world through a number of previously identified mechanisms. The ability to distinguish and trace strains of WSSV is of great benefit to identify, and then limit, the translocation routes of the disease. Here, we describe a novel genotyping method using 34 short tandem repeat regions of the viral genome concurrently. This technique is highly sensitive to strain differences when compared to previous methods. The efficacy of the described method is demonstrated by testing WSSV isolates from around the globe, showing regional genotypic differences. The differences in the genotypes were used to create a global minimum spanning network, and in most cases the observed relationships were substantiated with verification of transboundary movement. This novel panel of STR markers will provide a valuable epidemiological tool for white spot disease. We have applied this to an outbreak of the disease in Queensland, Australia, that occurred in 2016. While the results indicate that the source of this outbreak currently remains cryptic, the analyses have provided valuable insights with which to further study the origins of the strains involved.
白斑病由感染白斑综合征病毒(WSSV)引起,是一种严重影响对虾养殖的大流行性疾病。该疾病已通过多种先前确定的机制在世界对虾养殖区域迅速传播。区分和追踪WSSV毒株的能力对于识别并进而限制疾病的传播途径非常有益。在此,我们描述了一种同时使用病毒基因组34个短串联重复区域的新型基因分型方法。与先前的方法相比,该技术对毒株差异高度敏感。通过测试来自全球的WSSV分离株证明了所描述方法的有效性,显示出区域基因型差异。利用这些基因型差异创建了一个全球最小生成网络,并且在大多数情况下,通过对跨界移动的验证证实了观察到的关系。这一新型STR标记组将为白斑病提供一种有价值的流行病学工具。我们已将此应用于2016年在澳大利亚昆士兰州发生的该疾病疫情。虽然结果表明此次疫情的源头目前仍不明,但分析提供了有价值的见解,可用于进一步研究相关毒株的起源。