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熊蜂(西方蜜蜂)蜂群中肠道病原体的接触网络与传播

Contact networks and transmission of an intestinal pathogen in bumble bee (Bombus impatiens) colonies.

作者信息

Otterstatter Michael C, Thomson James D

机构信息

Department of Ecology and Evolutionary Biology, University of Toronto, 25 Harbord Street, Toronto, ON, Canada M5S 3G5.

出版信息

Oecologia. 2007 Nov;154(2):411-21. doi: 10.1007/s00442-007-0834-8. Epub 2007 Aug 23.

Abstract

In socially living animals, individuals interact through complex networks of contact that may influence the spread of disease. Whereas traditional epidemiological models typically assume no social structure, network theory suggests that an individual's location in the network determines its risk of infection. Empirical, especially experimental, studies of disease spread on networks are lacking, however, largely due to a shortage of amenable study systems. We used automated video-tracking to quantify networks of physical contact among individuals within colonies of the social bumble bee Bombus impatiens. We explored the effects of network structure on pathogen transmission in naturally and artificially infected hives. We show for the first time that contact network structure determines the spread of a contagious pathogen (Crithidia bombi) in social insect colonies. Differences in rates of infection among colonies resulted largely from differences in network density among hives. Within colonies, a bee's rate of contact with infected nestmates emerged as the only significant predictor of infection risk. The activity of bees, in terms of their movement rates and division of labour (e.g., brood care, nest care, foraging), did not influence risk of infection. Our results suggest that contact networks may have an important influence on the transmission of pathogens in social insects and, possibly, other social animals.

摘要

在群居动物中,个体通过复杂的接触网络进行互动,这可能会影响疾病的传播。传统的流行病学模型通常假定不存在社会结构,而网络理论表明,个体在网络中的位置决定了其感染风险。然而,关于疾病在网络上传播的实证研究,尤其是实验研究却很匮乏,这主要是由于缺乏合适的研究系统。我们利用自动视频跟踪技术,对群居的熊蜂(Bombus impatiens)蜂群内个体间的身体接触网络进行了量化。我们探究了网络结构对自然感染和人工感染蜂巢中病原体传播的影响。我们首次表明,接触网络结构决定了传染性病原体(克氏锥虫,Crithidia bombi)在社会性昆虫群落中的传播。不同蜂群之间感染率的差异很大程度上源于蜂巢间网络密度的差异。在蜂群内部,一只蜜蜂与受感染巢友的接触率成为感染风险的唯一显著预测因素。蜜蜂的活动,就其移动速度和分工(例如,育幼、蜂巢维护、觅食)而言,并未影响感染风险。我们的研究结果表明,接触网络可能对社会性昆虫以及可能对其他群居动物中病原体的传播具有重要影响。

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