Tintori Sophia C, Çağlar Derin, Rockman Matthew V
Department of Biological Sciences, Fordham University, Bronx, NY 10458, USA.
Department of Biology and Center for Genomics and Systems Biology, New York University, New York, NY 10003, USA.
Genetics. 2025 Jun 4;230(2). doi: 10.1093/genetics/iyaf073.
Heritable fitness differences between individuals are the currency of evolution but can be challenging to quantify with precision. A slight probabilistic fitness advantage to one relatively healthy individual over another is often too subtle to detect in a single generation. For this reason, we have developed an assay to quantify and compare heritable fitness traits in nematodes by allowing their differences to amplify during unrestricted exponential population growth over multiple generations. This method employs continuous imaging as populations expand, and an automated program to detect the time of resource exhaustion. Expanding on our earlier applications, we here describe, motivate, and validate the method's experimental parameters and introduce a new R package to facilitate image processing and statistical analyses. We demonstrate the utility of this method by using it to identify natural differences in mutagen sensitivity between wild isolates of Caenorhabditis elegans. This tool is immediately adaptable to any strain of C. elegans or similar nematode and can be used to quantify fitness differences in the face of any experimental condition that can be created on a petri dish.
个体之间可遗传的适应性差异是进化的关键要素,但精确量化这些差异颇具挑战。一个相对健康的个体相较于另一个体所具有的微小概率性适应性优势,在单一代际中往往过于细微而难以察觉。基于此,我们开发了一种检测方法,通过让线虫在多代不受限制的指数型种群增长过程中放大其差异,来量化和比较线虫的可遗传适应性特征。该方法在种群扩张时采用连续成像,并利用一个自动化程序来检测资源耗尽的时间。在我们早期应用的基础上,我们在此描述、阐释并验证了该方法的实验参数,还引入了一个新的R包以促进图像处理和统计分析。我们通过使用该方法来识别秀丽隐杆线虫野生分离株之间诱变敏感性的自然差异,展示了此方法的实用性。这个工具可立即应用于秀丽隐杆线虫的任何菌株或类似线虫,并可用于量化在培养皿上能够创设的任何实验条件下的适应性差异。