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

机译:大黄蜂(Bombus impatiens)菌落中的接触网络和肠道病原体的传播

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摘要

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.
机译:在社交动物中,个体通过可能影响疾病传播的复杂接触网络进行交互。传统的流行病学模型通常不采用社会结构,而网络理论则表明,个人在网络中的位置决定了其感染的风险。然而,缺乏对网络传播疾病的经验性研究,尤其是实验性研究,这在很大程度上是由于缺乏合适的研究系统。我们使用自动视频跟踪来量化社交大黄蜂Bombus impatiens群体内个体之间的身体接触网络。我们探讨了网络结构对自然和人工感染的蜂箱中病原体传播的影响。我们首次展示了接触网络的结构决定了传染性病原体(Crithidia bombi)在社会昆虫群落中的传播。菌落之间感染率的差异主要是由于蜂巢中网络密度的差异所致。在殖民地中,蜜蜂与被感染的巢友的接触率成为了感染风险的唯一重要预测指标。蜜蜂的活动,就其移动速度和分工而言(例如,育雏,筑巢,觅食),不会影响感染的风险。我们的结果表明,接触网络可能对病原体在社交昆虫和其他社交动物中的传播具有重要影响。

著录项

  • 来源
    《Oecologia》 |2007年第2期|411-421|共11页
  • 作者单位

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

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

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Epidemiology; Social insects; Disease ecology; Infection;

    机译:流行病学;社会昆虫;疾病生态学;感染;

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