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C. elegans Positive Butanone Learning Short-term and Long-term Associative Memory Assays

机译:秀丽隐杆线虫阳性丁酮学习短期和长期的联想记忆法。

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摘要

The memory of experiences and learned information is critical for organisms to make choices that aid their survival. C. elegans navigates its environment through neuron-specific detection of food and chemical odors1, 2, and can associate nutritive states with chemical odors3, temperature4, and the pathogenicity of a food source5.Here, we describe assays of C. elegans associative learning and short- and long-term associative memory. We modified an aversive olfactory learning paradigm6 to instead produce a positive response; the assay involves starving ~400 worms, then feeding the worms in the presence of the AWC neuron-sensed volatile chemoattractant butanone at a concentration that elicits a low chemotactic index (similar to Toroyama et al.7). A standard population chemotaxis assay1 tests the worms' attraction to the odorant immediately or minutes to hours after conditioning.After conditioning, wild-type animals' chemotaxis to butanone increases ~0.6 Chemotaxis Index units, its "Learning Index". Associative learning is dependent on the presence of both food and butanone during training. Pairing food and butanone for a single conditioning period ("massed training") produces short-term associative memory that lasts ~2 hours. Multiple conditioning periods with rest periods between ("spaced training") yields long-term associative memory (<40 hours), and is dependent on the cAMP Response Element Binding protein (CREB),6 a transcription factor required for long-term memory across species.8Our protocol also includes image analysis methods for quick and accurate determination of chemotaxis indices. High-contrast images of animals on chemotaxis assay plates are captured and analyzed by worm counting software in MatLab. The software corrects for uneven background using a morphological tophat transformation.9 Otsu's method is then used to determine a threshold to separate worms from the background.10 Very small particles are removed automatically and larger non-worm regions (plate edges or agar punches) are removed by manual selection. The software then estimates the size of single worm by ignoring regions that are above a specified maximum size and taking the median size of the remaining regions. The number of worms is then estimated by dividing the total area identified as occupied by worms by the estimated size of a single worm.We have found that learning and short- and long-term memory can be distinguished, and that these processes share similar key molecules with higher organisms.6,8 Our assays can quickly test novel candidate genes or molecules that affect learning and short- or long-term memory in C. elegans that are relevant across species.
机译:经验和知识的记忆对于有机体做出有助于其生存的选择至关重要。秀丽隐杆线虫通过对食物和化学气味 1、2 的神经元特定检测来导航环境,并将营养状态与化学气味 3 ,温度 4 < / sup>,以及食物来源 5 的致病性。在这里,我们描述线虫联想学习和短期和长期联想记忆的测定方法。我们修改了厌恶嗅觉学习范例 6 来产生积极的反应;该方法包括饿死约400只蠕虫,然后在AWC神经元敏感的挥发性化学吸引剂丁酮存在下以引起低趋化指数的浓度喂养蠕虫(类似于Toroyama等人的 7 )。标准种群趋化性测定法1可在调理后立即或数分钟至数小时检测蠕虫对气味的吸引力。调理后,野生型动物对丁酮的趋化性增加〜0.6趋化性指数单位,即“学习指数”。联想学习取决于训练过程中食物和丁酮的存在。将食物和丁酮配对进行单个调理期(“大量训练”)会产生持续约2小时的短期联想记忆。休息时间介于(“间隔训练”)之间的多个调节周期可产生长期联想记忆(<40小时),并且取决于cAMP反应元件结合蛋白(CREB), 6 转录因子 8 我们的协议还包括用于快速准确地确定趋化性指数的图像分析方法。捕获化学趋化分析板上动物的高对比度图像,并通过MatLab中的蠕虫计数软件对其进行分析。该软件使用形态学礼帽变换对背景不均匀进行校正。 9 然后使用Otsu方法确定将蠕虫与背景分离的阈值。 10 非常小的颗粒会自动去除手动选择可去除较大的非蠕虫区域(板边缘或琼脂冲头)。然后,该软件通过忽略超过指定最大大小的区域并取其余区域的中间大小来估计单个蠕虫的大小。然后通过将被蠕虫占据的总面积除以单个蠕虫的估计大小来估计蠕虫的数量。我们发现可以区分学习和短期记忆以及长期记忆,并且这些过程具有相似的关键 6,8 我们的测定方法可以快速测试新的候选基因或分子,这些新基因或分子会影响线虫的学习和短期或长期记忆,而这些记忆或线虫跨物种相关。

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