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Genetic control of encoding strategy in a food-sensing neural circuit
Neuroendocrine circuits encode environmental information via changes in gene expression and other biochemical activities to regulate physiological responses. Previously, we showed that daf-7 TGF [Formula: see text] and tph-1 tryptophan hydroxylase expression in specific neurons encode food abundance...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5295820/ https://www.ncbi.nlm.nih.gov/pubmed/28166866 http://dx.doi.org/10.7554/eLife.24040 |
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author | Diana, Giovanni Patel, Dhaval S Entchev, Eugeni V Zhan, Mei Lu, Hang Ch'ng, QueeLim |
author_facet | Diana, Giovanni Patel, Dhaval S Entchev, Eugeni V Zhan, Mei Lu, Hang Ch'ng, QueeLim |
author_sort | Diana, Giovanni |
collection | PubMed |
description | Neuroendocrine circuits encode environmental information via changes in gene expression and other biochemical activities to regulate physiological responses. Previously, we showed that daf-7 TGF [Formula: see text] 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. DOI: http://dx.doi.org/10.7554/eLife.24040.001 |
format | Online Article Text |
id | pubmed-5295820 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-52958202017-02-10 Genetic control of encoding strategy in a food-sensing neural circuit Diana, Giovanni Patel, Dhaval S Entchev, Eugeni V Zhan, Mei Lu, Hang Ch'ng, QueeLim eLife Computational and Systems Biology Neuroendocrine circuits encode environmental information via changes in gene expression and other biochemical activities to regulate physiological responses. Previously, we showed that daf-7 TGF [Formula: see text] 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. DOI: http://dx.doi.org/10.7554/eLife.24040.001 eLife Sciences Publications, Ltd 2017-02-07 /pmc/articles/PMC5295820/ /pubmed/28166866 http://dx.doi.org/10.7554/eLife.24040 Text en © 2017, Diana et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Diana, Giovanni Patel, Dhaval S Entchev, Eugeni V Zhan, Mei Lu, Hang Ch'ng, QueeLim Genetic control of encoding strategy in a food-sensing neural circuit |
title | Genetic control of encoding strategy in a food-sensing neural circuit |
title_full | Genetic control of encoding strategy in a food-sensing neural circuit |
title_fullStr | Genetic control of encoding strategy in a food-sensing neural circuit |
title_full_unstemmed | Genetic control of encoding strategy in a food-sensing neural circuit |
title_short | Genetic control of encoding strategy in a food-sensing neural circuit |
title_sort | genetic control of encoding strategy in a food-sensing neural circuit |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5295820/ https://www.ncbi.nlm.nih.gov/pubmed/28166866 http://dx.doi.org/10.7554/eLife.24040 |
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