Modelling microbial adaptation

模拟微生物适应

• 批准号: 238389-2011
• 负责人: Wahl, Linda
• 金额: $ 3.35万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=524315
• 关键词: Modelling; microbial; adaptation

Bacteria, viruses and other microbes adapt much more rapidly than humans. I use mathematical models to predict how quickly this microbial evolution unfolds. To do this, we need to predict which types of mutations might be beneficial to the organism, and how large their effects might be; this is called the "distribution of selective effects". Since many mutations, even if they are beneficial, are eventually lost from an evolving population, we would also like to predict whether new beneficial mutations will successfully spread through the microbial population, the "fixation probability". Finally, we would like to understand the "adaptive walk", that is, the process through which several beneficial mutations are acquired in sequence as the microbial population adapts to its environment.

细菌、病毒和其他微生物的适应速度比人类快得多。 我用数学模型来预测微生物进化的速度。 要做到这一点，我们需要预测哪些类型的突变可能对生物体有益，以及它们的影响可能有多大;这被称为“选择性效应的分布”。 由于许多突变，即使它们是有益的，最终也会从进化的种群中丢失，因此我们还想预测新的有益突变是否会成功地在微生物种群中传播，即“固定概率”。 最后，我们想了解“适应性行走”，即微生物种群适应其环境时顺序获得几个有益突变的过程。