Presynaptic Gαo (GOA-1) signals to depress command neuron excitability and allow stretch-dependent modulation of egg laying in Caenorhabditis elegans. Issue 4 (25th May 2021)

• Record Type: Journal Article
• Authors: Ravi, Bhavya; Zhao, Jian; Chaudhry, Sana I; Signorelli, Rossana; Bartole, Mattingly; Kopchock, Richard J; Guijarro, Christian; Kaplan, Joshua M; Kang, Lijun; Collins, Kevin M
• Editors: Bülow, H
• Is Part Of: Genetics. Volume 218:Issue 4(2021)
• Publication Date: 2021-05-25
• Subjects: GPCR -- G protein -- calcium -- circuit -- C. elegans -- serotonin -- neuropeptide -- neuron -- muscle -- behavior; Genetics -- Periodicals; 576.5
• DOI: 10.1093/genetics/iyab080
• Languages: English
• ISSNs: 0016-6731

Abstract

Abstract: Egg laying in the nematode worm Caenorhabditis elegans is a two-state behavior modulated by internal and external sensory input. We have previously shown that homeostatic feedback of embryo accumulation in the uterus regulates bursting activity of the serotonergic HSN command neurons that sustains the egg-laying active state. How sensory feedback of egg release signals to terminate the egg-laying active state is less understood. We find that Gαo, a conserved Pertussis Toxin-sensitive G protein, signals within HSN to inhibit egg-laying circuit activity and prevent entry into the active state. Gαo signaling hyperpolarizes HSN, reducing HSN Ca 2+ activity and input onto the postsynaptic vulval muscles. Loss of inhibitory Gαo signaling uncouples presynaptic HSN activity from a postsynaptic, stretch-dependent homeostat, causing precocious entry into the egg-laying active state when only a few eggs are present in the uterus. Feedback of vulval opening and egg release activates the uv1 neuroendocrine cells which release NLP-7 neuropeptides which signal to inhibit egg laying through Gαo -independent mechanisms in the HSNs and Gαo -dependent mechanisms in cells other than the HSNs. Thus, neuropeptide and inhibitory Gαo signaling maintain a bi-stable state of electrical excitability that dynamically controls circuit activity in response to both external and internal sensory input to drive a two-state behavior output.