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Genetic control of encoding strategy in a food-sensing neural circuit

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article numbere24040
Pages (from-to)1-18
JournaleLife
Volume6
Early online date7 Feb 2017
DOIs
Accepted/In press16 Jan 2017
E-pub ahead of print7 Feb 2017
Published2017

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King's Authors

Abstract

Neuroendocrine circuits encode environmental information via changes in gene expression and other biochemical activities to regulate physiological responses. Previously, we showed that daf-7 TGFβ and tph-1 tryptophan hydroxylase expression in specific neurons encode food abundance to modulate lifespan in Caenorhabditis elegans, and uncovered cross- and self-regulation among these genes (Entchev et al., 2015). Here, we now extend these findings by showing that these interactions between daf-7 and tph-1 regulate redundancy and synergy among neurons in food encoding through coordinated control of circuit-level signal and noise properties. Our analysis further shows that daf-7 and tph-1 contribute to most of the food-responsiveness in the modulation of lifespan. We applied a computational model to capture the general coding features of this system. This model agrees with our previous genetic analysis and highlights the consequences of redundancy and synergy during information transmission, suggesting a rationale for the regulation of these information processing features.

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