Powell Eric N, Hofmann Eileen E
Gulf Coast Research Laboratory, University of Southern Mississippi, 703 E. Beach Drive, Ocean Springs, MS 39564, United States.
Center for Coastal Physical Oceanography, Department of Ocean, Earth and Atmospheric Sciences, 4111 Monarch Way, Old Dominion University, Norfolk, VA 23529, United States.
J Invertebr Pathol. 2015 Oct;131:212-25. doi: 10.1016/j.jip.2015.07.017. Epub 2015 Jul 31.
Disease effects on host population dynamics and the transmission of pathogens between hosts are two important challenges for understanding how epizootics wax and wane and how disease influences host population dynamics. For the management of marine shellfish resources, marine diseases pose additional challenges in early intervention after the appearance of disease, management of the diseased population to limit a decline in host abundance, and application of measures to restrain that decline once it occurs. Mathematical models provide one approach for quantifying these effects and addressing the competing goals of managing the diseased population versus managing the disease. The majority of models for molluscan diseases fall into three categories distinguished by these competing goals. (1) Models that consider disease effects on the host population tend to focus on pathogen proliferation within the host. Many of the well-known molluscan diseases are pandemic, in that they routinely reach high prevalence rapidly over large geographic expanses, are characterized by transmission that does not depend upon a local source, and exert a significant influence on host population dynamics. Models focused on disease proliferation examine the influence of environmental change on host population metrics and provide a basis to better manage diseased stocks. Such models are readily adapted to questions of fishery management and habitat restoration. (2) Transmission models are designed to understand the mechanisms triggering epizootics, identify factors impeding epizootic development, and evaluate controls on the rate of disease spread over the host's range. Transmission models have been used extensively to study terrestrial diseases, yet little attention has been given to their potential for understanding the epidemiology of marine molluscan diseases. For management of diseases of wild stocks, transmission models open up a range of options, including the application of area management, manipulation of host abundance, and use of scavengers and filter feeders to limit the concentration of infective particles. (3) The details of host population processes and pathogen transmission dynamics are blended in models that evaluate the effects of natural selection and/or genetic modification in developing disease resistance in the host population. Application of gene-based models to marine diseases is only now beginning and represents a promising approach that may provide a mechanistic basis for managing marine diseases and their host populations. Overall disease models remain both uncommon and underutilized in addressing the needs for managing molluscan diseases and their host populations.
疾病对宿主种群动态的影响以及病原体在宿主之间的传播是理解动物流行病如何兴衰以及疾病如何影响宿主种群动态的两个重要挑战。对于海洋贝类资源的管理而言,海洋疾病在疾病出现后的早期干预、对患病种群的管理以限制宿主数量的下降以及在下降发生后采取措施抑制这种下降方面带来了额外的挑战。数学模型提供了一种量化这些影响并解决管理患病种群与管理疾病这两个相互竞争目标的方法。大多数软体动物疾病模型可分为三类,其区别在于这些相互竞争的目标。(1)考虑疾病对宿主种群影响的模型往往侧重于病原体在宿主体内的增殖。许多著名的软体动物疾病具有大流行性,即它们通常能在广阔的地理区域迅速达到高流行率,其传播不依赖于本地来源,并对宿主种群动态产生重大影响。专注于疾病增殖的模型研究环境变化对宿主种群指标的影响,并为更好地管理患病种群提供依据。此类模型很容易适用于渔业管理和栖息地恢复问题。(2)传播模型旨在了解引发动物流行病的机制,识别阻碍动物流行病发展的因素,并评估对疾病在宿主范围内传播速度的控制。传播模型已被广泛用于研究陆生疾病,但对于它们在理解海洋软体动物疾病流行病学方面的潜力关注甚少。对于野生种群疾病的管理,传播模型提供了一系列选择,包括应用区域管理、控制宿主数量以及利用清道夫和滤食性动物来限制感染性颗粒的浓度。(3)宿主种群过程和病原体传播动态的细节在评估自然选择和/或基因改造对宿主种群抗病性发展影响的模型中相互融合。基于基因的模型在海洋疾病中的应用才刚刚开始,是一种很有前景的方法,可能为管理海洋疾病及其宿主种群提供一个机制基础。总体而言,疾病模型在满足管理软体动物疾病及其宿主种群的需求方面仍然既不常见也未得到充分利用。