Knowles Sarah C L, Wood Matthew J, Alves Ricardo, Wilkin Teddy A, Bensch Staffan, Sheldon Ben C
Department of Zoology, Edward Grey Institute, University of Oxford, South Parks Road, Oxford OX1 3PS, UK.
Mol Ecol. 2011 Mar;20(5):1062-76. doi: 10.1111/j.1365-294X.2010.04909.x. Epub 2010 Nov 15.
Avian malaria (Plasmodium spp.) and other blood parasitic infections of birds constitute increasingly popular model systems in ecological and evolutionary host-parasite studies. Field studies of these parasites commonly use two traits in hypothesis testing: infection status (or prevalence at the population level) and parasitaemia, yet the causes of variation in these traits remain poorly understood. Here, we use quantitative PCR to investigate fine-scale environmental and host predictors of malaria infection status and parasitaemia in a large 4-year data set from a well-characterized population of blue tits (Cyanistes caeruleus). We also examine the temporal dynamics of both traits within individuals. Both infection status and parasitaemia showed marked temporal and spatial variation within this population. However, spatiotemporal patterns of prevalence and parasitaemia were non-parallel, suggesting that different biological processes underpin variation in these two traits at this scale. Infection probability and parasitaemia both increased with host age, and parasitaemia was higher in individuals investing more in reproduction (those with larger clutch sizes). Several local environmental characteristics predicted parasitaemia, including food availability, altitude, and distance from the woodland edge. Although infection status and parasitaemia were somewhat repeatable within individuals, infections were clearly dynamic: patent infections frequently disappeared from the bloodstream, with up to 26% being lost between years, and parasitaemia also fluctuated within individuals across years in a pattern that mirrored annual population-level changes. Overall, these findings highlight the ecological complexity of avian malaria infections in natural populations, while providing valuable insight into the fundamental biology of this system that will increase its utility as a model host-parasite system.
禽疟(疟原虫属)和鸟类的其他血液寄生虫感染在生态和进化宿主 - 寄生虫研究中日益成为热门的模型系统。对这些寄生虫的野外研究在假设检验中通常使用两个特征:感染状况(或种群水平的患病率)和虫血症,但这些特征变异的原因仍知之甚少。在这里,我们使用定量PCR,在一个来自特征明确的蓝山雀(蓝冠山雀)种群的4年大数据集中,研究疟疾感染状况和虫血症的精细尺度环境和宿主预测因子。我们还研究了个体内这两个特征的时间动态。在这个种群中,感染状况和虫血症都表现出明显的时间和空间变异。然而,患病率和虫血症的时空模式并不平行,这表明在这个尺度上,不同的生物学过程支撑着这两个特征的变异。感染概率和虫血症都随着宿主年龄的增加而增加,并且在繁殖投入更多的个体(窝卵数更大的个体)中虫血症更高。几个当地环境特征预测了虫血症,包括食物可获得性、海拔高度和与林地边缘的距离。尽管感染状况和虫血症在个体内有一定的重复性,但感染显然是动态的:显性感染经常从血液中消失,每年有高达26%的感染消失,并且虫血症在个体内也逐年波动,其模式反映了年度种群水平的变化。总体而言,这些发现突出了自然种群中禽疟感染的生态复杂性,同时为该系统的基础生物学提供了有价值的见解,这将增加其作为模型宿主 - 寄生虫系统的效用。