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A Multicellular Network Mechanism for Temperature-Robust Food Sensing.

Dhaval S Patel | Giovanni Diana | Eugeni V Entchev | Mei Zhan | Hang Lu | QueeLim Ch'ng
Cell reports | 2020

Responsiveness to external cues is a hallmark of biological systems. In complex environments, it is crucial for organisms to remain responsive to specific inputs even as other internal or external factors fluctuate. Here, we show how the nematode Caenorhabditis elegans can discriminate between different food levels to modulate its lifespan despite temperature perturbations. This end-to-end robustness from environment to physiology is mediated by food-sensing neurons that communicate via transforming growth factor β (TGF-β) and serotonin signals to form a multicellular gene network. Specific regulations in this network change sign with temperature to maintain similar food responsiveness in the lifespan output. In contrast to robustness of stereotyped outputs, our findings uncover a more complex robustness process involving the higher order function of discrimination in food responsiveness. This process involves rewiring a multicellular network to compensate for temperature and provides a basis for understanding gene-environment interactions. Together, our findings unveil sensory computations that integrate environmental cues to govern physiology.

Pubmed ID: 33357442

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: Wellcome Trust, United Kingdom
    Id: 087146
  • Agency: Biotechnology and Biological Sciences Research Council, United Kingdom
    Id: BB/H020500/1
  • Agency: Biotechnology and Biological Sciences Research Council, United Kingdom
    Id: BB/M00757X/1
  • Agency: NIA NIH HHS, United States
    Id: R01 AG035317
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM088333
  • Agency: NIA NIH HHS, United States
    Id: R01 AG056436

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MATLAB (tool)

RRID:SCR_001622

Multi paradigm numerical computing environment and fourth generation programming language developed by MathWorks. Allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. Used to explore and visualize ideas and collaborate across disciplines including signal and image processing, communications, control systems, and computational finance.

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R Project for Statistical Computing (tool)

RRID:SCR_001905

Software environment and programming language for statistical computing and graphics. R is integrated suite of software facilities for data manipulation, calculation and graphical display. Can be extended via packages. Some packages are supplied with the R distribution and more are available through CRAN family.It compiles and runs on wide variety of UNIX platforms, Windows and MacOS.

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C. elegans RNAi Collection (Ahringer) (tool)

RRID:SCR_017064

C. elegans RNAi feeding library distributed by Source BioScience Ltd. Designed for genome wide study of gene function in C. elegans through loss of function studies.

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RB2302 (tool)

RRID:WB-STRAIN:WBStrain00032980

Caenorhabditis elegans with name daf-7(ok3125) III. from WB.

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N2_(ancestral) (tool)

RRID:WB-STRAIN:WBStrain00000003

Caenorhabditis elegans with name C. elegans wild type (ancestral). from WB.

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