Zhang Mi, Chung Samuel H, Fang-Yen Chris, Craig Caroline, Kerr Rex A, Suzuki Hiroshi, Samuel Aravinthan D T, Mazur Eric, Schafer William R
San Diego State University and University of California, San Diego Joint Doctoral Program, La Jolla, CA 92093, USA.
Curr Biol. 2008 Oct 14;18(19):1445-55. doi: 10.1016/j.cub.2008.08.047. Epub 2008 Sep 25.
Egg laying in Caenorhabditis elegans has been well studied at the genetic and behavioral levels. However, the neural basis of egg-laying behavior is still not well understood; in particular, the roles of specific neurons and the functional nature of the synaptic connections in the egg-laying circuit remain uncharacterized.
We have used in vivo neuroimaging and laser surgery to address these questions in intact, behaving animals. We have found that the HSN neurons play a central role in driving egg-laying behavior through direct excitation of the vulval muscles and VC motor neurons. The VC neurons play a dual role in the egg-laying circuit, exciting the vulval muscles while feedback-inhibiting the HSNs. Interestingly, the HSNs are active in the absence of synaptic input, suggesting that egg laying may be controlled through modulation of autonomous HSN activity. Indeed, body touch appears to inhibit egg laying, in part by interfering with HSN calcium oscillations.
The egg-laying motor circuit comprises a simple three-component system combining feed-forward excitation and feedback inhibition. This microcircuit motif is common in the C. elegans nervous system, as well as in the mammalian cortex; thus, understanding its functional properties in C. elegans may provide insight into its computational role in more complex brains.
秀丽隐杆线虫的产卵行为在遗传和行为层面已得到充分研究。然而,产卵行为的神经基础仍未得到很好的理解;特别是,特定神经元的作用以及产卵回路中突触连接的功能性质仍未明确。
我们利用体内神经成像和激光手术在完整的行为动物中解决这些问题。我们发现,HSN神经元通过直接刺激外阴肌肉和VC运动神经元在驱动产卵行为中发挥核心作用。VC神经元在产卵回路中发挥双重作用,刺激外阴肌肉同时对HSN进行反馈抑制。有趣的是,HSN在没有突触输入时也有活性,这表明产卵可能通过调节HSN的自主活性来控制。事实上,身体触摸似乎会抑制产卵,部分原因是干扰了HSN的钙振荡。
产卵运动回路包括一个简单的由前馈兴奋和反馈抑制组成的三组件系统。这种微电路模式在秀丽隐杆线虫神经系统以及哺乳动物皮层中很常见;因此,了解其在秀丽隐杆线虫中的功能特性可能有助于深入了解其在更复杂大脑中的计算作用。