Genetic control of encoding strategy in a food-sensing neural circuit
| Autor: | Quee-Lim Ch'ng, Dhaval S. Patel, Hang Lu, Eugeni V. Entchev, Giovanni Diana, Mei Zhan |
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| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Serotonin QH301-705.5 Systems biology Science Information Theory Computational biology ENCODE General Biochemistry Genetics and Molecular Biology 03 medical and health sciences Gene expression Neural Pathways Redundancy (engineering) Animals Gene Regulatory Networks Biology (General) Caenorhabditis elegans Caenorhabditis elegans Proteins Gene Genetics General Immunology and Microbiology biology General Neuroscience Transforming Growth Factor Beta General Medicine Tryptophan hydroxylase biology.organism_classification 030104 developmental biology Food gene expression C. elegans Medicine Perception Neural coding Research Advance Computational and Systems Biology Neuroscience neural code |
| Zdroj: | eLife eLife, Vol 6 (2017) Diana, G, Patel, D S, Entchev, E V, Zhan, M, Hang, L & Ch'ng, Q 2017, ' Genetic control of encoding strategy in a food-sensing neural circuit ', eLife, vol. 6, e24040, pp. 1-18 . https://doi.org/10.7554/eLife.24040 |
| ISSN: | 2050-084X |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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