Genomics of rapid adaptation in the lab and in the wild

项目摘要 适应是生物学中的基本概念。我的实验室旨在建立一个经验性和理论性丰富的理论 适应的问题。我们特别关注从基因组数据中推断适应和研究快速 实时进化。后者包括(I)在酵母中的实验进化(通过从头突变适应于 (Ii)果蝇在季节和生态时间尺度上的适应(从 有性生殖有机体中的站立变异)，以及(Iii)从良好分辨的种群中推断适应 基因组和系统发育数据。这些项目利用了多样化的系统、高吞吐量和高功率 实验模式和复杂多样的分析框架，但它们都专注于最重要的 需要了解快速适应的动态。测序成本的降低使其 有可能也必须通过增加重复次数和这一点来提高分辨率 TURN需要应用液体处理机器人系统，就像我在这里要求的那样。

Project Summary Adaptation is the foundational concept in biology. My lab aims to build an empirically and theoretically rich theory of adaptation. We focus specifically on the inference of adaptation from genomic data and on the study of rapid evolution in real time. The latter include (i) experimental evolution in yeast (adaptation by de novo mutation in well-mixed clonal system), (ii) adaptation on seasonal and ecological time-scales in Drosophila (adaptation from standing variation in a obligately sexual organism), and (iii) inference of adaptation from well resolved population genomic and phylogenetic data. These projects utilize a diversity of systems, high throughput and well-powered experimental modalities, and sophisticated and varied analytic frameworks, but they all focus on the overarching need to understand the dynamics of rapid adaptation. The reduction in the cost of sequencing is making it possible and imperative to increase the resolution through the increase in the number of replicates and this in turn requires the application of liquid handling robotic systems as the one I am requesting here.