Raffoux Xavier, Falque Matthieu
INRAE, CNRS, AgroParisTech, Université Paris-Saclay, Gif-sur-Yvette, France.
Yeast. 2024 Nov;41(11-12):681-690. doi: 10.1002/yea.3988. Epub 2025 Jan 22.
Meiotic recombination is a powerful source of haplotypic diversity, and thus plays an important role in the dynamics of short-term adaptation. However, high-throughput quantitative measurement of recombination parameters is challenging because of the large size of offspring to be genotyped. One of the most efficient approaches for large-scale recombination measurement is to study the segregation of fluorescent markers in gametes. Applying this to yeast spores by flow cytometry has already been proved to be highly efficient, but manual analyses of distributions of signal intensities is time-consuming and produces nonperfectly reproducible results. Such analyses are required to identify events corresponding to spores and to assign each of them to a genotypic class depending on their fluorescence intensity. The CAYSS package automatically reproduces the manual process that we've been developing to analyze yeast recombination for years, including Maximum-Likelihood estimation of fluorescence extinction (Raffoux et al. 2018a). When comparing the results of manual versus CAYSS automatic analyses of the same cytometry data, recombination rates and interference were on average very similar, with less than 3% differences on average and strong correlations (R > 0.9). In conclusion, as compared to manual analysis, CAYSS allows to save a lot of human time and produces totally reproducible results.
减数分裂重组是单倍型多样性的一个重要来源,因此在短期适应动态中发挥着重要作用。然而,由于需要进行基因分型的后代数量庞大,对重组参数进行高通量定量测量具有挑战性。大规模重组测量最有效的方法之一是研究配子中荧光标记的分离情况。通过流式细胞术将其应用于酵母孢子已被证明是非常高效的,但手动分析信号强度分布既耗时,结果的可重复性也不理想。这种分析需要识别与孢子对应的事件,并根据其荧光强度将每个孢子分配到一个基因型类别。CAYSS软件包自动重现了我们多年来一直在开发的用于分析酵母重组的手动过程,包括荧光消光的最大似然估计(拉富克斯等人,2018a)。在对相同流式细胞术数据进行手动分析与CAYSS自动分析的结果进行比较时,重组率和干涉平均非常相似,平均差异小于3%,且相关性很强(R>0.9)。总之,与手动分析相比,CAYSS可以节省大量人力时间,并产生完全可重复的结果。