Gillet-Markowska Alexandre, Louvel Guillaume, Fischer Gilles
Sorbonne Universités, UPMC Univ. Paris 06, Institut de Biologie Paris-Seine UMR7238, Biologie Computationnelle et Quantitative, F-75005, Paris, France.
Sorbonne Universités, UPMC Univ. Paris 06, Institut de Biologie Paris-Seine UMR7238, Biologie Computationnelle et Quantitative, F-75005, Paris, France
G3 (Bethesda). 2015 Sep 2;5(11):2323-7. doi: 10.1534/g3.115.019836.
Fluctuation analysis is the standard experimental method for measuring mutation rates in micro-organisms. The appearance of mutants is classically described by a Luria-Delbrück distribution composed of two parameters: the number of mutations per culture (m) and the differential growth rate between mutant and wild-type cells (b). A precise estimation of these two parameters is a prerequisite to the calculation of the mutation rate. Here, we developed bz-rates, a Web tool to calculate mutation rates that provides three useful advances over existing Web tools. First, it allows taking into account b, the differential growth rate between mutant and wild-type cells, in the estimation of m with the generating function. Second, bz-rates allows the user to take into account a deviation from the Luria-Delbrück distribution called z, the plating efficiency, in the estimation of m. Finally, the Web site provides a graphical visualization of the goodness-of-fit between the experimental data and the model. bz-rates is accessible at http://www.lcqb.upmc.fr/bzrates.
波动分析是测量微生物突变率的标准实验方法。经典地,突变体的出现由包含两个参数的Luria-Delbrück分布来描述:每个培养物中的突变数(m)以及突变细胞与野生型细胞之间的差异生长速率(b)。精确估计这两个参数是计算突变率的前提条件。在此,我们开发了bz-rates,这是一个用于计算突变率的网络工具,与现有的网络工具相比有三个有用的改进。首先,它允许在利用生成函数估计m时考虑b,即突变细胞与野生型细胞之间的差异生长速率。其次,bz-rates允许用户在估计m时考虑一种偏离Luria-Delbrück分布的情况,称为z,即平板接种效率。最后,该网站提供了实验数据与模型之间拟合优度的图形可视化。可通过http://www.lcqb.upmc.fr/bzrates访问bz-rates。