Institut für Populationsgenetik, Vetmeduni, Vienna, Austria.
UMR 8197 IBENS, Paris, France.
Sci Rep. 2018 Mar 13;8(1):4469. doi: 10.1038/s41598-018-22777-w.
Fecundity is probably the most frequently studied fitness component in Drosophila. Nevertheless, currently used methods to measure fecundity are not well-suited for large-scale experiments, with many populations being assayed in parallel. Here we present a standardized pipeline to measure fecundity in many Drosophila population samples with substantially reduced hand on times. Using a high-contrast medium for egg laying, we developed a Java plug-in for ImageJ to quantify the number of eggs by image processing. We show that our method is fast and provides reliable egg counts.
繁殖力可能是果蝇中研究最频繁的适应度组成部分。然而，目前用于测量繁殖力的方法并不适合大规模实验，许多种群都是并行进行检测的。在这里，我们提出了一种标准化的流水线，用于在大量的果蝇种群样本中测量繁殖力，大大减少了手动操作的时间。我们使用高对比度的产卵培养基，为 ImageJ 开发了一个 Java 插件，通过图像处理来定量卵的数量。我们证明了我们的方法快速可靠，可以提供准确的卵计数。
