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Testing the role of spatial structure in ecology and evolution

测试空间结构在生态和进化中的作用

基本信息

批准号：
NE/G006938/2
负责人：
Mike Boots
金额：
$ 26.48万
依托单位：
UNIVERSITY OF EXETER
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2011
资助国家：
英国
起止时间：
2011 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=NE%2FG006938%2F2
关键词：
Testing role spatial structure ecology

项目摘要

Individuals tend to interact more with individuals that are close to them or in their social group. Similarly in diseases that are spread by contact, infected individuals are more likely to contact other individuals that are close by or in their social group. The disease therefore spreads spatially through the population. There has been a number of computer models that show that this spatial spread can have a major effect on the disease dynamics. Recent work has shown that this spatial structure can also have important implications to the evolution of parasites. If they spread locally, they are selected for lower transmission and virulence. It is very difficult to test this sort of theory, but we have developed an insect virus system in which we can manipulate how locally the hosts move. Our recent work using this system has confirmed the predictions of the model of the effect of space on transmission; it was lower in a more viscose population. We now want to examine the role of spatial structure on the coevolution of the host in addition to the parasite. As such we propose to build computer models and use some mathematical approximation techniques to predict the effect of local infection on host resistance. We will then test this using our insect virus system. This mixture of theory and ecological experimentation will give us a much clearer idea of the implications of different degrees of local interactions on the evolution of disease causing organisms. Given that anthropological changes are altering the mixing patterns within many populations, it is important that we understand what the implications are to wildlife and human disease.

个人倾向于与自己亲近的人或社会群体中的人进行更多的互动。同样，在通过接触传播的疾病中，受感染的个体更有可能接触附近或其社会群体中的其他个体。因此，这种疾病在人群中以空间方式传播。有许多计算机模型表明，这种空间传播对疾病动态有重大影响。最近的研究表明，这种空间结构对寄生虫的进化也有重要的影响。如果它们在局部传播，则选择传播和毒性较低的病毒。这种理论很难验证，但我们已经开发出一种昆虫病毒系统，我们可以控制宿主在局部的移动方式。我们最近使用这个系统的工作已经证实了空间对传输影响的模型的预测；在粘胶性更强的人群中，这一比例更低。我们现在想要研究空间结构在宿主和寄生虫共同进化中的作用。因此，我们建议建立计算机模型，并使用一些数学近似技术来预测局部感染对宿主抗性的影响。然后我们将用我们的昆虫病毒系统进行测试。这种理论和生态实验的结合将使我们更清楚地了解不同程度的局部相互作用对致病生物体进化的影响。鉴于人类学的变化正在改变许多种群的混合模式，我们必须了解这对野生动物和人类疾病的影响。