Institute of Biology, Freie Universität Berlin, Berlin, Germany; Department for Materials and Environment, BAM Federal Institute for Materials Research and Testing, Berlin, Germany.
Centre for Ecology and Conservation, University of Exeter, Penryn, United Kingdom.
Adv Virus Res. 2018;101:251-291. doi: 10.1016/bs.aivir.2018.02.008. Epub 2018 May 7.
Emerging infectious diseases arise as a result of novel interactions between populations of hosts and pathogens, and can threaten the health and wellbeing of the entire spectrum of biodiversity. Bees and their viruses are a case in point. However, detailed knowledge of the ecological factors and evolutionary forces that drive disease emergence in bees and other host-pathogen communities is surprisingly lacking. In this review, we build on the fundamental insight that viruses evolve and adapt over timescales that overlap with host ecology. At the same time, we integrate the role of host community ecology, including community structure and composition, biodiversity loss, and human-driven disturbance, all of which represent significant factors in bee virus ecology. Both of these evolutionary and ecological perspectives represent major advances but, in most cases, it remains unclear how evolutionary forces actually operate across different biological scales (e.g., from cell to ecosystem). We present a molecule-to-ecology framework to help address these issues, emphasizing the role of molecular mechanisms as key bottom-up drivers of change at higher ecological scales. We consider the bee-virus system to be an ideal one in which to apply this framework. Unlike many other animal models, bees constitute a well characterized and accessible multispecies assemblage, whose populations and interspecific interactions can be experimentally manipulated and monitored in high resolution across space and time to provide robust tests of prevailing theory.
新发传染病是宿主和病原体群体之间新出现的相互作用的结果,可能威胁到整个生物多样性的健康和福祉。蜜蜂及其病毒就是一个典型的例子。然而,对于驱动蜜蜂和其他宿主-病原体群落中疾病发生的生态因素和进化力量的详细了解却惊人地缺乏。在这篇综述中,我们基于这样一个基本观点,即病毒会随着与宿主生态学重叠的时间尺度进化和适应。与此同时,我们整合了宿主群落生态学的作用,包括群落结构和组成、生物多样性丧失以及人为干扰,所有这些都代表了蜜蜂病毒生态学中的重要因素。这两个进化和生态的观点都是重大的进展,但在大多数情况下,进化力量如何在不同的生物尺度(例如,从细胞到生态系统)上实际运作仍然不清楚。我们提出了一个从分子到生态的框架来帮助解决这些问题,强调了分子机制作为更高生态尺度上变化的关键底层驱动力的作用。我们认为蜜蜂-病毒系统是应用这一框架的理想系统。与许多其他动物模型不同,蜜蜂是一个特征明确、易于接近的多物种组合,其种群和种间相互作用可以在空间和时间上以高分辨率进行实验操纵和监测,从而对流行理论进行强有力的检验。