The community ecology of pathogens: coinfection, coexistence and community composition.
The community ecology of pathogens: coinfection, coexistence and community composition.
复制标题
病原体的群落生态学：共感染、共存和群落组成。
作者：
E. Seabloom;E. Borer;K. Gross;Amy E. Kendig;C. Lacroix;C. Mitchell;E. Mordecai;A. Power
疾病和群落生态学有共同的概念和理论谱系，加强这些领域之间联系的兴趣已重新出现。基于最近对宿主群落组成对单一病原体系统影响的综合研究，我们使用随机元群落模型作为桥梁群落和疾病生态学视角的起点来研究病原体（微寄生虫）群落。这些模型包括核心群落过程的影响，如生态漂变、选择和扩散，但尚未扩展到包括宿主-病原体相互作用，如免疫抑制或协同死亡，这是疾病生态学的核心。我们使用双病原体易感感染（SI）模型来填补元群落方法中的这些空白；然而，SI模型对于检查物种多样性、空间结构系统可能是难以处理的。通过将疾病放入为社区生态学开发的框架中，我们的综合突出了成熟的进展领域，包括结合宿主动态，空间结构和进化过程的理论框架，以及测试这种模型预测所需的数据。我们的综合为这个框架指明了道路，并证明了对病原体群落动态的更深入的理解将从疾病和群落生态学的界面工作的方法中出现。
Disease and community ecology share conceptual and theoretical lineages, and there has been a resurgence of interest in strengthening links between these fields. Building on recent syntheses focused on the effects of host community composition on single pathogen systems, we examine pathogen (microparasite) communities using a stochastic metacommunity model as a starting point to bridge community and disease ecology perspectives. Such models incorporate the effects of core community processes, such as ecological drift, selection and dispersal, but have not been extended to incorporate host-pathogen interactions, such as immunosuppression or synergistic mortality, that are central to disease ecology. We use a two-pathogen susceptible-infected (SI) model to fill these gaps in the metacommunity approach; however, SI models can be intractable for examining species-diverse, spatially structured systems. By placing disease into a framework developed for community ecology, our synthesis highlights areas ripe for progress, including a theoretical framework that incorporates host dynamics, spatial structuring and evolutionary processes, as well as the data needed to test the predictions of such a model. Our synthesis points the way for this framework and demonstrates that a deeper understanding of pathogen community dynamics will emerge from approaches working at the interface of disease and community ecology.
影响因子：
16.8
作者：
Rosindell, James;Hubbell, Stephen P.;Etienne, Rampal S.
通讯作者：
Etienne, Rampal S.
肺炎链球菌的持续共存和抗药性菌株的持续共存的机制是什么？
影响因子：
3.9
作者：
Colijn, Caroline;Cohen, Ted;Fraser, Christophe;Hanage, William;Goldstein, Edward;Givon-Lavi, Noga;Dagan, Ron;Lipsitch, Marc
通讯作者：
Lipsitch, Marc
影响因子：
2
作者：
D.A. Vasco;H. Wearing;P. Rohani
通讯作者：
D.A. Vasco;H. Wearing;P. Rohani