Statistical questions in experimental evolution
Statistical questions in experimental evolution
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DOI：
10.1088/1742-5468/2013/01/p01003
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发表时间：
2013-01-01
影响因子：
2.4
通讯作者：
Desai, Michael M.
中科院分区：
文献类型：
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作者：
Desai, Michael M.
描述进化动力学模型的数学分析的最新进展正在迅速提高我们做出精确定量预测的能力。这些进展创造了一个日益增长的需要相应的改进，我们的能力，观察在实验室进化实验中的进化动力学。高通量的实验方法是特别重要的，以保持许多重复的人口和测量统计差异的进化结果在表型和基因组水平。在本文中，我描述了最近的技术发展，大大提高了实验室进化实验的吞吐量，并概述了一些有前途的方向，进一步改进。然后，我强调了这些新的实验方法可以帮助回答有关进化动力学的简单统计问题的几种方法，并可能指导未来的理论工作。
Recent advances in the mathematical analysis of models describing evolutionary dynamics are rapidly increasing our ability to make precise quantitative predictions. These advances have created a growing need for corresponding improvements in our ability to observe evolutionary dynamics in laboratory evolution experiments. High-throughput experimental methods are particularly crucial, in order to maintain many replicate populations and measure statistical differences in evolutionary outcomes at both phenotypic and genomic levels. In this paper, I describe recent technical developments which have greatly increased the throughput of laboratory evolution experiments, and outline a few promising directions for further improvements. I then highlight a few ways in which these new experimental methods can help to answer simple statistical questions about evolutionary dynamics, and potentially guide future theoretical work.