TY - JOUR
T1 - An Insulin-to-Insulin Regulatory Network Orchestrates Phenotypic Specificity in Development and Physiology
AU - Fernandes de Abreu, Diana Andrea
AU - Caballero, Antonio
AU - Fardel, Pascal
AU - Stroustrup, Nicholas
AU - Chen, Zhunan
AU - Lee, Kyung Hwa
AU - Keyes, William D.
AU - Nash, Zachary M.
AU - López-Moyado, Isaac F.
AU - Vaggi, Federico
AU - Cornils, Astrid
AU - Regenass, Martin
AU - Neagu, Anca
AU - Ostojic, Ivan
AU - Liu, Chang
AU - Cho, Yongmin
AU - Sifoglu, Deniz
AU - Shen, Yu
AU - Fontana, Walter
AU - Lu, Hang
AU - Csikasz-Nagy, Attila
AU - Murphy, Coleen T.
AU - Antebi, Adam
AU - Blanc, Eric
AU - Apfeld, Javier
AU - Zhang, Yun
AU - Alcedo, Joy
AU - Ch'ng, Quee Lim
N1 - Funding Information:
We are grateful for strains provided by the CGC, which is funded by NIH Office of Research Infrastructure Programs (P40 OD010440), and the National Bioresource Project. We thank Andrew Lumsden, Corinne Houart and members of our labs for comments on this work; Nicole Hernandez, Veronica Gomez and Hashviniya Sekar for constructing some of the double mutants used in this study; and Lisa Li for technical support.
PY - 2014/3
Y1 - 2014/3
N2 - Insulin-like peptides (ILPs) play highly conserved roles in development and physiology. Most animal genomes encode multiple ILPs. Here we identify mechanisms for how the forty Caenorhabditis elegans ILPs coordinate diverse processes, including development, reproduction, longevity and several specific stress responses. Our systematic studies identify an ILP-based combinatorial code for these phenotypes characterized by substantial functional specificity and diversity rather than global redundancy. Notably, we show that ILPs regulate each other transcriptionally, uncovering an ILP-to-ILP regulatory network that underlies the combinatorial phenotypic coding by the ILP family. Extensive analyses of genetic interactions among ILPs reveal how their signals are integrated. A combined analysis of these functional and regulatory ILP interactions identifies local genetic circuits that act in parallel and interact by crosstalk, feedback and compensation. This organization provides emergent mechanisms for phenotypic specificity and graded regulation for the combinatorial phenotypic coding we observe. Our findings also provide insights into how large hormonal networks regulate diverse traits.
AB - Insulin-like peptides (ILPs) play highly conserved roles in development and physiology. Most animal genomes encode multiple ILPs. Here we identify mechanisms for how the forty Caenorhabditis elegans ILPs coordinate diverse processes, including development, reproduction, longevity and several specific stress responses. Our systematic studies identify an ILP-based combinatorial code for these phenotypes characterized by substantial functional specificity and diversity rather than global redundancy. Notably, we show that ILPs regulate each other transcriptionally, uncovering an ILP-to-ILP regulatory network that underlies the combinatorial phenotypic coding by the ILP family. Extensive analyses of genetic interactions among ILPs reveal how their signals are integrated. A combined analysis of these functional and regulatory ILP interactions identifies local genetic circuits that act in parallel and interact by crosstalk, feedback and compensation. This organization provides emergent mechanisms for phenotypic specificity and graded regulation for the combinatorial phenotypic coding we observe. Our findings also provide insights into how large hormonal networks regulate diverse traits.
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U2 - 10.1371/journal.pgen.1004225
DO - 10.1371/journal.pgen.1004225
M3 - Article
C2 - 24675767
AN - SCOPUS:84897413383
SN - 1553-7390
VL - 10
JO - PLoS genetics
JF - PLoS genetics
IS - 3
M1 - e1004225
ER -