Stelzer Claus-Peter
Institute for Limnology, Mondseestr. 9, 5310 Mondsee, Austria.
Limnol Oceanogr Methods. 2009 Dec;7:856-864. doi: 10.4319/lom.2009.7.856.
Zooplankton organisms with short generation times, such as rotifers, are ideal models to study general ecological and evolutionary questions on the population level, because meaningful experiments can often be completed within a couple of weeks. Yet biological analysis of such populations is often extremely time consuming, owing to abundance estimation by counting, measuring body size, or determining the investment into sexual versus asexual reproduction. An automated system for sampling and analyzing experimental rotifer populations is described. It relies on image analysis of digital photographs taken from subsamples of the culture. The system works completely autonomously for up to several weeks and can sample up to 12 cultures at time intervals down to a few hours. It allows quantitative analysis of female population density at a precision equivalent to that of conventional methods (i.e., manual counts of samples fixed in Lugol solution), and it can also recognize males, which allows detecting temporal variation of sexual reproduction in such cultures. Another parameter that can be automatically measured with the image analysis system is female body size. This feature may be useful for studies of population productivity and/or in competition experiments with clones of different body size. In this article, I describe the basic setup of the system and tests on the efficiency of data collection, and show some example data sets on the population dynamics of different strains of the rotifer Brachionus calyciflorus.
轮虫等世代时间短的浮游动物是研究种群水平上一般生态和进化问题的理想模型,因为有意义的实验通常可以在几周内完成。然而,由于要通过计数、测量体型或确定有性生殖与无性生殖的投入来估计数量,对这类种群进行生物学分析往往极其耗时。本文描述了一种用于对实验性轮虫种群进行采样和分析的自动化系统。它依赖于对培养物子样本拍摄的数码照片进行图像分析。该系统可以完全自主运行长达数周,并且能够以低至数小时的时间间隔对多达12个培养物进行采样。它能够对雌性种群密度进行定量分析,其精度与传统方法(即对用鲁哥氏溶液固定的样本进行人工计数)相当,还能够识别雄性,这使得能够检测此类培养物中有性生殖的时间变化。图像分析系统还可以自动测量的另一个参数是雌性体型。这一特性可能对种群生产力研究和/或不同体型克隆的竞争实验有用。在本文中,我描述了该系统的基本设置以及数据收集效率测试,并展示了一些关于萼花臂尾轮虫不同品系种群动态的示例数据集。