U.S. Geological Survey, Western Ecological Research Center, Davis, CA 95826, USA.
U.S. Geological Survey, Western Ecological Research Center, Davis, CA 95826, USA.
Sci Total Environ. 2015 Oct 1;529:114-20. doi: 10.1016/j.scitotenv.2015.05.039. Epub 2015 May 22.
Populations of wildlife species worldwide experience incidents of mass morbidity and mortality. Primary or secondary drivers of these events may escape classical detection methods for identifying microbial insults, toxin exposure, or additional stressors. In 2012, 28% of polar bears sampled in a study in the southern Beaufort Sea region of Alaska had varying degrees of alopecia that was concomitant with reduced body condition. Concurrently, elevated numbers of sick or dead ringed seals were detected in the southern Beaufort, Chukchi, and Bering seas in 2012, resulting in the declaration of an unusual mortality event (UME) by the National Oceanic and Atmospheric Administration (NOAA). The primary and possible ancillary causative stressors of these events are unknown, and related physiological changes within individual animals have been undetectable using classical diagnostic methods. Here we present an emerging technology as a potentially guiding investigative approach aimed at elucidating the circumstances responsible for the susceptibility of certain polar bears to observed conditions. Using transcriptomic analysis we identified enhanced biological processes including immune response, viral defense, and response to stress in polar bears with alopecia. Our results support an alternative mechanism of investigation into the causative agents that, when used proactively, could serve as an early indicator for populations and species at risk. We suggest that current or classical methods for investigation into events of unusual morbidity and mortality can be costly, sometimes unfocused, and often inconclusive. Advances in technology allow for implementation of a holistic system of surveillance and investigation that could provide early warning of health concerns in wildlife species important to humans.
全球野生动物种群经常发生大规模疾病和死亡事件。这些事件的主要或次要驱动因素可能会逃脱识别微生物侵袭、毒素暴露或其他压力源的经典检测方法。2012 年,在阿拉斯加南部波弗特海地区的一项研究中,28%的取样北极熊出现不同程度的脱毛,同时身体状况也有所下降。与此同时,2012 年在南部波弗特海、楚科奇海和白令海发现了数量增加的患病或死亡环斑海豹,导致国家海洋和大气管理局(NOAA)宣布发生异常死亡事件(UME)。这些事件的主要和可能的辅助应激源尚不清楚,并且个体动物的相关生理变化使用经典诊断方法是无法检测到的。在这里,我们提出一种新兴技术,作为一种潜在的指导性调查方法,旨在阐明导致某些北极熊易受观察到的情况影响的情况。使用转录组分析,我们确定了增强的生物学过程,包括免疫反应、病毒防御和对压力的反应,在脱毛的北极熊中。我们的研究结果支持对致病因子进行替代性调查机制,当主动使用时,这种机制可以作为处于危险中的种群和物种的早期指标。我们建议,对异常发病率和死亡率事件的当前或经典调查方法可能成本高昂、有时缺乏重点且常常没有定论。技术的进步允许实施全面的监测和调查系统,这可以为对人类重要的野生动物物种的健康问题提供早期预警。