Gustafson L, Ellis S, Robinson T, Marenghi F, Merrill P, Hawkins L, Giray C, Wagner B
USDA APHIS VS, ISA Program, Eastport, ME, USA.
J Fish Dis. 2007 Feb;30(2):101-9. doi: 10.1111/j.1365-2761.2007.00792.x.
The distribution of infectious salmon anaemia (ISA) was examined among 80 cages from three Atlantic salmon grow-out farms in Maine, USA that were stocked with smolts from a single hatchery. Cage-level disease was broadly defined as one or more moribund fish testing positive for infectious salmon anaemia virus (ISAV) by RT-PCR and a second confirmatory test (IFAT, culture or genotype sequence). Spatio-temporal and cage-level risks were explored using logistic regression and survival analysis. Non-spatial risk factors associated with ISA, or shortened survival time to disease, included increased predation, trucking company choice for smolt transfers, a finely-sedimented benthic substrate, and smaller average size of smolts at stocking. Univariable analysis identified the time-dependent spatial factor 'adjacency to newly infected cages' to be predictive of new infection in neighbouring cages 11-12 weeks later. However, none of the spatial factors, or their lags retained relevance in multiple-variable models. The results suggest a diffuse distribution of virus exposure throughout infected sites, with host-susceptibility factors probably influencing disease manifestation in individual cages. The narrow focus of the current study may limit application of the findings to other sites and year-classes. However, these data support the relevance of husbandry efforts to optimize fish health in regions affected by ISAV.
在美国缅因州的三个大西洋鲑鱼养殖农场的80个网箱中,对传染性鲑鱼贫血症(ISA)的分布情况进行了检查,这些网箱放养的是来自同一个孵化场的鱼苗。网箱层面的疾病被宽泛定义为通过逆转录聚合酶链反应(RT-PCR)及第二次确证试验(间接荧光抗体试验、培养或基因型测序)检测出一条或多条濒死鱼的传染性鲑鱼贫血病毒(ISAV)呈阳性。使用逻辑回归和生存分析探究时空和网箱层面的风险。与ISA相关的非空间风险因素,或疾病的缩短生存时间,包括捕食增加、鱼苗运输时运输公司的选择、底栖底物细沙沉积以及放养时鱼苗的平均尺寸较小。单变量分析确定时间依赖性空间因素“与新感染网箱相邻”可预测11 - 12周后相邻网箱的新感染情况。然而,在多变量模型中,没有一个空间因素或其滞后因素具有相关性。结果表明病毒暴露在整个感染地点呈扩散分布,宿主易感性因素可能影响各个网箱中的疾病表现。本研究狭窄的关注点可能会限制研究结果在其他地点和年份类别的应用。然而,这些数据支持在受ISAV影响的地区通过养殖管理来优化鱼类健康的相关性。