Eco-evolutionary dynamics in evolving communities

不断发展的社区中的生态进化动力学

• 批准号: 338069339
• 负责人: Professor Dr. Lutz Becks
• 金额: --
• 依托单位: Limnologisches Institut
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2017
• 资助国家: 德国
• 起止时间: 2016-12-31 至 2020-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/338069339?language=en
• 关键词: Eco; evolutionary; dynamics; evolving; communities

There is a continuing interest to identify the interactions and feedback dynamics between ecological and evolutionary changes at the same time scale. This interest in eco-evolutionary dynamics is fuelled by the need to understand how populations and communities could adapt to rapid environmental change such as warming, invasion and pollution. Despite this pressing need to understand eco-evolutionary dynamics, they are not well understood in complex systems. In the project proposed here, we aim to (1) identify rapid adaptive changes in coevolving host-virus populations in different food webs that differ in the types of species interactions (ranging form antagonistic to mutualistic interactions) and complexity and to (2) comprehend how the dynamics of adaptive changes alter the ecological dynamics and potential feedbacks. We will combine controlled chemostat experiments, whole genome sequencing of populations across different time points and modelling to characterize and compare the adaptive dynamics and their consequences within the different food webs over dozens of generations. We will use a focal species approach where we focus on the interaction between host and virus in different food webs. Following the evolutionary dynamics phenotypically and with whole genome sequencing of both (host and virus) populations across different time points will allow us to identify candidate mutations under selection. The experiments are replicated and fitness of the populations and individual clones at different time can be assessed. In addition, mutations can be traced over time estimating the probability and time to fixation of adaptive changes, providing a picture of the dynamics of adaptive change, in both interacting populations. The findings related to this project will have broad implications for our understanding of how communities evolve and its consequences for population and community stability as well as for the maintenance of diversity.

有一个持续的兴趣，以确定在同一时间尺度上的生态和进化变化之间的相互作用和反馈动力学。这种对生态进化动力学的兴趣是由于需要了解人口和社区如何适应快速的环境变化，如变暖，入侵和污染。尽管迫切需要了解生态进化动力学，但在复杂系统中，它们并没有得到很好的理解。在这里提出的项目中，我们的目标是（1）识别不同食物网中共同进化的宿主-病毒种群的快速适应性变化，这些食物网在物种相互作用的类型（从拮抗到互利相互作用）和复杂性方面有所不同，以及（2）理解适应性变化的动态如何改变生态动态和潜在的反馈。我们将结合联合收割机控制恒化器实验，不同时间点的种群全基因组测序和建模，以表征和比较不同食物网中数十代的适应性动态及其后果。我们将使用焦点物种的方法，我们专注于宿主和病毒之间的相互作用，在不同的食物网。在表型上遵循进化动力学，并在不同时间点对两个（宿主和病毒）群体进行全基因组测序，将使我们能够识别选择下的候选突变。重复实验，可以评估种群和个体克隆在不同时间的适合度。此外，突变可以随着时间的推移进行跟踪，估计适应性变化的固定概率和时间，提供了一个动态的适应性变化的图片，在两个相互作用的人口。与该项目有关的调查结果将对我们理解社区如何演变及其对人口和社区稳定以及维护多样性的影响产生广泛影响。