High-resolution positional tracking for long-term analysis of Drosophila sleep and locomotion using the "tracker" program.
High-resolution positional tracking for long-term analysis of Drosophila sleep and locomotion using the "tracker" program.
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DOI：
10.1371/journal.pone.0037250
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Griffith LC
中科院分区：
文献类型：
--
作者：
Donelson NC;Kim EZ;Slawson JB;Vecsey CG;Huber R;Griffith LC
果蝇几十年来一直被用于昼夜节律行为的研究，最近已成为睡眠研究的流行模型。监测苍蝇活动的经典方法包括计算单个小玻璃管中红外光束交叉的数量。诸如此类的事件记录方法可以测量总体运动活动，但它们无法提供有关苍蝇在太空中位置的详细信息，也无法检测到微小的运动（即小于外壳尺寸一半的任何运动），这可能导致对睡眠的高估和对苍蝇行为的不准确报告。如果苍蝇醒着，但没有移动跨越围栏的距离，这尤其成问题。同样，运动缺陷可能被错误地归类为睡眠表型。为了解决这些问题，我们开发了一种运动跟踪技术（“跟踪器”程序），可以实时记录苍蝇的确切位置。这允许检测管内任何位置的非常小的运动。除了昼夜节律运动活动之外，我们还能够收集其他信息，例如距离、速度、食物接近度、地点偏好以及与睡眠结构相关的多个附加参数。使用野生型和运动缺陷（CASK-β null）果蝇对事件记录和我们的运动跟踪应用程序进行直接比较表明，跟踪程序数据中增加的时间分辨率可以极大地影响对果蝇状态的解释。当特定条件或基因型对行为有强烈影响时，这一点尤其明显，并且可以为研究者提供以前无法获得的大量信息。在许多情况下，也可以使用这种方法直接评估睡眠与其他行为的相互作用。
Drosophila melanogaster has been used for decades in the study of circadian behavior, and more recently has become a popular model for the study of sleep. The classic method for monitoring fly activity involves counting the number of infrared beam crosses in individual small glass tubes. Incident recording methods such as this can measure gross locomotor activity, but they are unable to provide details about where the fly is located in space and do not detect small movements (i.e. anything less than half the enclosure size), which could lead to an overestimation of sleep and an inaccurate report of the behavior of the fly. This is especially problematic if the fly is awake, but is not moving distances that span the enclosure. Similarly, locomotor deficiencies could be incorrectly classified as sleep phenotypes. To address these issues, we have developed a locomotor tracking technique (the “Tracker” program) that records the exact location of a fly in real time. This allows for the detection of very small movements at any location within the tube. In addition to circadian locomotor activity, we are able to collect other information, such as distance, speed, food proximity, place preference, and multiple additional parameters that relate to sleep structure. Direct comparisons of incident recording and our motion tracking application using wild type and locomotor-deficient (CASK-β null) flies show that the increased temporal resolution in the data from the Tracker program can greatly affect the interpretation of the state of the fly. This is especially evident when a particular condition or genotype has strong effects on the behavior, and can provide a wealth of information previously unavailable to the investigator. The interaction of sleep with other behaviors can also be assessed directly in many cases with this method.
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影响因子：
64.8
作者：
Yorozu, Suzuko;Wong, Allan;Fischer, Brian J.;Dankert, Heiko;Kernan, Maurice J.;Kamikouchi, Azusa;Ito, Kei;Anderson, David J.
通讯作者：
Anderson, David J.
影响因子：
5.3
作者：
Kume, K;Kume, S;Jackson, FR
通讯作者：
Jackson, FR
影响因子：
5.6
作者：
Naidoo, Nirinjini;Casiano, Vincent;Pack, Allan I.
通讯作者：
Pack, Allan I.
影响因子：
5.8
作者：
Gilestro, Giorgio F.;Cirelli, Chiara
通讯作者：
Cirelli, Chiara
影响因子：
3.7
作者：
Valente D;Golani I;Mitra PP
通讯作者：
Mitra PP