Michel Jessica, Ebert Dieter, Hall Matthew D
University of Basel, Zoological Institute, Vesalgasse 1, 4051, Basel, Switzerland.
School of Biological Sciences, Monash University, Melbourne, VIC, 3800, Australia.
BMC Evol Biol. 2016 Nov 25;16(1):254. doi: 10.1186/s12862-016-0828-4.
The density of a host population is a key parameter underlying disease transmission, but it also has implications for the expression of disease through its effect on host physiology. In response to higher densities, individuals are predicted to either increase their immune investment in response to the elevated risk of parasitism, or conversely to decrease their immune capacity as a consequence of the stress of a crowded environment. However, an individual's health is shaped by many different factors, including their genetic background, current environmental conditions, and maternal effects. Indeed, population density is often sensed through the presence of info-chemicals in the environment, which may influence a host's interaction with parasites, and also those of its offspring. All of which may alter the expression of disease, and potentially uncouple the presumed link between changes in host density and disease outcomes.
In this study, we used the water flea Daphnia magna and its obligate bacterial parasite Pasteuria ramosa, to investigate how signals of high host density impact on host-parasite interactions over two consecutive generations. We found that the chemical signals from crowded treatments induced phenotypic changes in both the parental and offspring generations. In the absence of a pathogen, life-history changes were genotype-specific, but consistent across generations, even when the signal of density was removed. In contrast, the influence of density on infected animals depended on the trait and generation of exposure. When directly exposed to signals of high-density, host genotypes responded differently in how they minimised the severity of disease. Yet, in the subsequent generation, the influence of density was rarely genotype-specific and instead related to ability of the host to minimise the onset of infection.
Our findings reveal that population level correlations between host density and infection capture only part of the complex relationship between crowding and the severity of disease. We suggest that besides its role in horizontal transmission, signals of density can influence parasite epidemiology by modifying mechanisms of resistance across multiple generations, and elevating variability via genotype-by-environment interactions. Our results help resolve why some studies are able to find a positive correlation between high density and resistance, while others uncover a negative correlation, or even no direct relationship at all.
宿主种群密度是疾病传播的一个关键参数,但其通过对宿主生理的影响也与疾病的表现有关。针对更高的种群密度,预计个体要么因寄生虫感染风险增加而加大免疫投入,要么因拥挤环境的压力而降低免疫能力。然而,个体的健康受到许多不同因素的影响,包括其遗传背景、当前环境条件和母体效应。实际上,种群密度通常是通过环境中信息化学物质的存在来感知的,这可能会影响宿主与寄生虫及其后代之间的相互作用。所有这些都可能改变疾病的表现,并可能使宿主密度变化与疾病结果之间的假定联系脱钩。
在本研究中,我们利用水蚤大型溞及其专性细菌寄生虫罗氏巴斯德菌,研究了高宿主密度信号如何在连续两代中影响宿主-寄生虫相互作用。我们发现,来自拥挤处理组的化学信号在亲代和子代中都诱导了表型变化。在没有病原体的情况下,生活史变化具有基因型特异性,但在各代中是一致的,即使密度信号被去除也是如此。相比之下,密度对受感染动物的影响取决于所暴露的性状和代次。当直接暴露于高密度信号时,宿主基因型在如何将疾病严重程度降至最低方面表现出不同的反应。然而,在随后的一代中,密度的影响很少具有基因型特异性,而是与宿主将感染发作降至最低的能力有关。
我们的研究结果表明,宿主密度与感染之间的种群水平相关性仅反映了拥挤与疾病严重程度之间复杂关系的一部分。我们认为,除了在水平传播中的作用外,密度信号还可以通过改变多代间的抗性机制以及通过基因型与环境的相互作用提高变异性来影响寄生虫流行病学。我们的结果有助于解释为什么一些研究能够发现高密度与抗性之间存在正相关,而另一些研究则发现负相关,甚至根本没有直接关系。