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Long-Term, Stochastic Editing of Regenerative Anatomy via Targeting Endogenous Bioelectric Gradients

We show that regenerating planarians’ normal anterior-posterior pattern can be permanently rewritten by a brief perturbation of endogenous bioelectrical networks. Temporary modulation of regenerative bioelectric dynamics in amputated trunk fragments of planaria stochastically results in a constant r...

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Autores principales: Durant, Fallon, Morokuma, Junji, Fields, Christopher, Williams, Katherine, Adams, Dany Spencer, Levin, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Biophysical Society 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5443973/
https://www.ncbi.nlm.nih.gov/pubmed/28538159
http://dx.doi.org/10.1016/j.bpj.2017.04.011
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author Durant, Fallon
Morokuma, Junji
Fields, Christopher
Williams, Katherine
Adams, Dany Spencer
Levin, Michael
author_facet Durant, Fallon
Morokuma, Junji
Fields, Christopher
Williams, Katherine
Adams, Dany Spencer
Levin, Michael
author_sort Durant, Fallon
collection PubMed
description We show that regenerating planarians’ normal anterior-posterior pattern can be permanently rewritten by a brief perturbation of endogenous bioelectrical networks. Temporary modulation of regenerative bioelectric dynamics in amputated trunk fragments of planaria stochastically results in a constant ratio of regenerates with two heads to regenerates with normal morphology. Remarkably, this is shown to be due not to partial penetrance of treatment, but a profound yet hidden alteration to the animals’ patterning circuitry. Subsequent amputations of the morphologically normal regenerates in water result in the same ratio of double-headed to normal morphology, revealing a cryptic phenotype that is not apparent unless the animals are cut. These animals do not differ from wild-type worms in histology, expression of key polarity genes, or neoblast distribution. Instead, the altered regenerative bodyplan is stored in seemingly normal planaria via global patterns of cellular resting potential. This gradient is functionally instructive, and represents a multistable, epigenetic anatomical switch: experimental reversals of bioelectric state reset subsequent regenerative morphology back to wild-type. Hence, bioelectric properties can stably override genome-default target morphology, and provide a tractable control point for investigating cryptic phenotypes and the stochasticity of large-scale epigenetic controls.
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spelling pubmed-54439732018-05-23 Long-Term, Stochastic Editing of Regenerative Anatomy via Targeting Endogenous Bioelectric Gradients Durant, Fallon Morokuma, Junji Fields, Christopher Williams, Katherine Adams, Dany Spencer Levin, Michael Biophys J Systems Biophysics We show that regenerating planarians’ normal anterior-posterior pattern can be permanently rewritten by a brief perturbation of endogenous bioelectrical networks. Temporary modulation of regenerative bioelectric dynamics in amputated trunk fragments of planaria stochastically results in a constant ratio of regenerates with two heads to regenerates with normal morphology. Remarkably, this is shown to be due not to partial penetrance of treatment, but a profound yet hidden alteration to the animals’ patterning circuitry. Subsequent amputations of the morphologically normal regenerates in water result in the same ratio of double-headed to normal morphology, revealing a cryptic phenotype that is not apparent unless the animals are cut. These animals do not differ from wild-type worms in histology, expression of key polarity genes, or neoblast distribution. Instead, the altered regenerative bodyplan is stored in seemingly normal planaria via global patterns of cellular resting potential. This gradient is functionally instructive, and represents a multistable, epigenetic anatomical switch: experimental reversals of bioelectric state reset subsequent regenerative morphology back to wild-type. Hence, bioelectric properties can stably override genome-default target morphology, and provide a tractable control point for investigating cryptic phenotypes and the stochasticity of large-scale epigenetic controls. The Biophysical Society 2017-05-23 2017-05-23 /pmc/articles/PMC5443973/ /pubmed/28538159 http://dx.doi.org/10.1016/j.bpj.2017.04.011 Text en © 2017 Biophysical Society. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Systems Biophysics
Durant, Fallon
Morokuma, Junji
Fields, Christopher
Williams, Katherine
Adams, Dany Spencer
Levin, Michael
Long-Term, Stochastic Editing of Regenerative Anatomy via Targeting Endogenous Bioelectric Gradients
title Long-Term, Stochastic Editing of Regenerative Anatomy via Targeting Endogenous Bioelectric Gradients
title_full Long-Term, Stochastic Editing of Regenerative Anatomy via Targeting Endogenous Bioelectric Gradients
title_fullStr Long-Term, Stochastic Editing of Regenerative Anatomy via Targeting Endogenous Bioelectric Gradients
title_full_unstemmed Long-Term, Stochastic Editing of Regenerative Anatomy via Targeting Endogenous Bioelectric Gradients
title_short Long-Term, Stochastic Editing of Regenerative Anatomy via Targeting Endogenous Bioelectric Gradients
title_sort long-term, stochastic editing of regenerative anatomy via targeting endogenous bioelectric gradients
topic Systems Biophysics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5443973/
https://www.ncbi.nlm.nih.gov/pubmed/28538159
http://dx.doi.org/10.1016/j.bpj.2017.04.011
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