Experimental Assessment of the Network Properties of the Drosophila Circadian Clock
Experimental Assessment of the Network Properties of the Drosophila Circadian Clock
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DOI：
10.1002/cne.23728
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发表时间：
2015-04-15
影响因子：
2.5
通讯作者：
Ceriani, M. Fernanda
中科院分区：
文献类型：
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作者：
Beckwith, Esteban J.;Ceriani, M. Fernanda
昼夜节律在各个王国中是保守的，并协调生理和行为以保持适当的时间。在许多动物模型中描述了控制昼夜节律的神经元群体，目前的挑战是了解它们如何相互作用以控制明显的节律，保持足够的可塑性以应对和适应不断变化的环境。在黑腹果蝇中，昼夜节律网络由大约150个神经元组成，主要的同步器是神经肽色素分散因子（PDF），由特征明确的中央起搏神经元（小腹侧神经元（sLNvs））释放。然而，规则和属性管理的通信和耦合之间的中央起搏器和下游集群没有完全阐明。在这里，我们基因操纵的速度，特别是在果蝇的中央起搏器神经元的分子时钟，并提供实验证据，他们的能力有限，同步下游集群。我们还表明，sLNV控制的集群有一个不对称的夹带范围，并能够实验评估it. Our数据意味着，不同的集群受到不同的耦合强度，并显示独立的内源性周期。最后，这里采用的操作建立了一个合适的范式来测试其他网络属性以及在不同昼夜节律相关集群中运行的细胞自主机制。J. Comp.神经元523：982-996，2015. (c)2014 Wiley Periodicals，Inc.
Circadian rhythms are conserved across kingdoms and coordinate physiology and behavior for appropriate time-keeping. The neuronal populations that govern circadian rhythms are described in many animal models, and the current challenge is to understand how they interact to control overt rhythms, remaining plastic enough to respond and adapt to a changing environment. In Drosophila melanogaster, the circadian network comprises about 150 neurons, and the main synchronizer is the neuropeptide pigment-dispersing factor (PDF), released by the well-characterized central pacemaker neurons, the small ventral lateral neurons (sLNvs). However, the rules and properties governing the communication and coupling between this central pacemaker and downstream clusters are not fully elucidated. Here we genetically manipulate the speed of the molecular clock specifically in the central pacemaker neurons of Drosophila and provide experimental evidence of their restricted ability to synchronize downstream clusters. We also demonstrate that the sLNv-controlled clusters have an asymmetric entrainment range and were able to experimentally assess it. Our data imply that different clusters are subjected to different coupling strengths, and display independent endogenous periods. Finally, the manipulation employed here establishes a suitable paradigm to test other network properties as well as the cell-autonomous mechanisms running in different circadian-relevant clusters. J. Comp. Neurol. 523:982-996, 2015. (c) 2014 Wiley Periodicals, Inc.