Ordered and variable animal behaviors emerge to explore and adapt to the environment. They are generally considered as the combination of a series of stereotyped motor primitives. However, how the nervous system shapes the dynamics of motor sequences remains to be solved.
Prof. WEN Quan from School of Life Sciences, University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) has proposed the algorithms and circuit mechanisms for the robust and flexible motor states of nematodes during escape responses in the paper “Flexible Motor Sequence Generation During Stereotyped Escape Responses” published on eLife.
Prof. WEN’s group investigated nematode Caenorhabditis elegans (C. elegans) on the neural circuit mechanisms of how robust and flexible the motor sequences are generated.
C. elegans are ideal subjects for their simple yet fully functional neural system with only 302 neurons, approximately 6400 chemical synapses and 890 electrical synapses. Early in the 1980s, the coupling image of neural networks were reconstituted at the synapse scale by the electron microscope, laying a solid foundation for the research on the neural circuit. Besides, optical manipulation and detection are easily conducted considering C. elegans’ overall transparent bodies.
Potential threats like mechanical or thermal stimuli robustly trigger escape responses comprised of stereotyped motor modules including forward movement, backward movement and turning movement. However, the sequence and timing of actions of every module vary from each other.
With the help of optogenetic technology, calcium image and computational models, the research group discovered that the excitatory feedforward coupling accounts for certain motor sequences robustly triggered by stimuli, while a winner-take-all operation via mutual inhibition between motor modules realizes the flexible alteration of different motor patterns. The plasticity of short-term synapses and the intrinsic noise of the nervous system also play an important role in the sequence and timing of motor patterns.
Applying the coupling image of neural networks of C. elegans and molecular biological methods, the research group further proved that electrical synapses contribute to feedforward coupling, whereas glutamatergic synapses contribute to inhibition between modules through glutamate-gated chloride expressed by downstream neurons.
Schematic diagram of C. elegans escape behavior (Image by USTC)
The model of the C. elegans’ escape responses (Image by USTC)
(Written by LIU Wei, edited by JIANG Pengcen, USTC News Center)
On May 11, the Nature Publishing Group released Nature Publishing Index 2010 China, remarking “a dramatic rise in the quality of research being published by China”. University of Science and Technology of China is ranked 3rd of TOP 10 Institutions in Index 2010 China.
This article came from News Center of USTC.