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使用果蝇幼虫在产热神经元筛选中对常量营养素摄入量进行定量分析。

Quantification of Macronutrients Intake in a Thermogenetic Neuronal Screen using Drosophila Larvae.

作者信息

Poças Gonçalo M, Domingos Pedro M, Mirth Christen K

机构信息

School of Biological Sciences, Monash University; Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa (ITQB NOVA);

Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa (ITQB NOVA).

出版信息

J Vis Exp. 2020 Jun 11(160). doi: 10.3791/61323.

Abstract

Foraging and feeding behaviors allow animals to access sources of energy and nutrients essential for their development, health, and fitness. Investigating the neuronal regulation of these behaviors is essential for the understanding of the physiological and molecular mechanisms underlying nutritional homeostasis. The use of genetically tractable animal models such as worms, flies, and fish greatly facilitates these types of studies. In the last decade, the fruit fly Drosophila melanogaster has been used as a powerful animal model by neurobiologists investigating the neuronal control of feeding and foraging behaviors. While undoubtedly valuable, most studies examine adult flies. Here, we describe a protocol that takes advantage of the simpler larval nervous system to investigate neuronal substrates controlling feeding behaviors when larvae are exposed to diets differing in their protein and carbohydrates content. Our methods are based on a quantitative colorimetric no-choice feeding assay, performed in the context of a neuronal thermogenetic-activation screen. As a read-out, the amount of food eaten by larvae over a 1 h interval was used when exposed to one of the three dye-labeled diets that differ in their protein to carbohydrates (P:C) ratios. The efficacy of this protocol is demonstrated in the context of a neurogenetic screen in larval Drosophila, by identifying candidate neuronal populations regulating the amount of food eaten in diets of different macronutrient quality. We were also able to classify and group the genotypes tested into phenotypic classes. Besides a brief review of the currently available methods in the literature, the advantages and limitations of these methods are discussed and, also, some suggestions are provided about how this protocol might be adapted to other specific experiments.

摘要

觅食和进食行为使动物能够获取对其发育、健康和体能至关重要的能量和营养来源。研究这些行为的神经调节对于理解营养稳态背后的生理和分子机制至关重要。使用线虫、果蝇和鱼类等具有遗传易处理性的动物模型极大地促进了这类研究。在过去十年中,果蝇已被神经生物学家用作研究进食和觅食行为神经控制的强大动物模型。虽然无疑很有价值,但大多数研究都集中在成年果蝇上。在这里,我们描述了一种利用更简单的幼虫神经系统的方案,以研究幼虫在接触蛋白质和碳水化合物含量不同的饮食时控制进食行为的神经基质。我们的方法基于一种定量比色无选择进食测定法,该方法是在神经元热遗传激活筛选的背景下进行的。作为读数,当幼虫接触三种蛋白质与碳水化合物(P:C)比例不同的染料标记饮食之一时,使用其在1小时内吃掉的食物量。通过识别调节不同常量营养素质量饮食中食物摄入量的候选神经元群体,该方案的有效性在幼虫果蝇的神经遗传学筛选中得到了证明。我们还能够将测试的基因型分类并分组到表型类别中。除了简要回顾文献中目前可用的方法外,还讨论了这些方法的优缺点,并就如何将该方案应用于其他特定实验提供了一些建议。

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