Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/347
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dc.contributor.authorTissenbaum, Heidi A-
dc.contributor.authorWalhout, Albertha J.M-
dc.date.accessioned2014-12-12T05:06:09Z-
dc.date.available2014-12-12T05:06:09Z-
dc.date.issued2013-06-
dc.identifier.urihttp://hdl.handle.net/123456789/347-
dc.description.abstractGene families expand by gene duplication, and resulting paralogs diverge through mutation. Functional diversification can include neofunctionalization as well as subfunctionalization of ancestral functions. In addition, redundancy in which multiple genes fulfill overlapping functions is often maintained. Here, we use the family of 40 Caenorhabditis elegans insulins to gain insight into the balance between specificity and redundancy. The insulin/insulin-like growth factor (IIS) pathway comprises a single receptor, DAF-2. To date, no single insulin-like peptide recapitulates all DAF-2-associated phenotypes, likely due to redundancy between insulin-like genes. To provide a first-level annotation of potential patterns of redundancy, we comprehensively delineate the spatiotemporal and conditional expression of all 40 insulins in living animals. We observe extensive dynamics in expression that can explain the lack of simple patterns of pairwise redundancy. We propose a model in which gene families evolve to attain differential alliances in different tissues and in response to a range of environmental stresses.en_US
dc.publisherCold Spring Harbor Laboratory Pressen_US
dc.titleComplex expression dynamics and robustness in C. elegans insulin networks.en_US
dc.contributor.coauthorRitter, Ashlyn D-
dc.contributor.coauthorShen, Yuan-
dc.contributor.coauthorBass, Juan Fuxman-
dc.contributor.coauthorJeyaraj, Sankarganesh-
dc.contributor.coauthorDeplancke, Bart-
dc.contributor.coauthorMukhopadhyay, Arnab-
dc.contributor.coauthorXu, Jian-
dc.contributor.coauthorDriscoll, Monica-
dc.journalGenome Researchen_US
dc.volumeno23en_US
dc.issueno6en_US
dc.pages:954–965en_US
Appears in Collections:Molecular Aging, Publications

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