Cargando…

When complex neuronal structures may not matter

Much work has explored animal-to-animal variability and compensation in ion channel expression. Yet, little is known regarding the physiological consequences of morphological variability. We quantify animal-to-animal variability in cable lengths (CV = 0.4) and branching patterns in the Gastric Mill...

Descripción completa

Detalles Bibliográficos
Autores principales: Otopalik, Adriane G, Sutton, Alexander C, Banghart, Matthew, Marder, Eve
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5323043/
https://www.ncbi.nlm.nih.gov/pubmed/28165322
http://dx.doi.org/10.7554/eLife.23508
_version_ 1782509959244677120
author Otopalik, Adriane G
Sutton, Alexander C
Banghart, Matthew
Marder, Eve
author_facet Otopalik, Adriane G
Sutton, Alexander C
Banghart, Matthew
Marder, Eve
author_sort Otopalik, Adriane G
collection PubMed
description Much work has explored animal-to-animal variability and compensation in ion channel expression. Yet, little is known regarding the physiological consequences of morphological variability. We quantify animal-to-animal variability in cable lengths (CV = 0.4) and branching patterns in the Gastric Mill (GM) neuron, an identified neuron type with highly-conserved physiological properties in the crustacean stomatogastric ganglion (STG) of Cancer borealis. We examined passive GM electrotonic structure by measuring the amplitudes and apparent reversal potentials (E(rev)s) of inhibitory responses evoked with focal glutamate photo-uncaging in the presence of TTX. Apparent E(rev)s were relatively invariant across sites (mean CV ± SD = 0.04 ± 0.01; 7–20 sites in each of 10 neurons), which ranged between 100–800 µm from the somatic recording site. Thus, GM neurons are remarkably electrotonically compact (estimated λ > 1.5 mm). Electrotonically compact structures, in consort with graded transmission, provide an elegant solution to observed morphological variability in the STG. DOI: http://dx.doi.org/10.7554/eLife.23508.001
format Online
Article
Text
id pubmed-5323043
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher eLife Sciences Publications, Ltd
record_format MEDLINE/PubMed
spelling pubmed-53230432017-02-27 When complex neuronal structures may not matter Otopalik, Adriane G Sutton, Alexander C Banghart, Matthew Marder, Eve eLife Neuroscience Much work has explored animal-to-animal variability and compensation in ion channel expression. Yet, little is known regarding the physiological consequences of morphological variability. We quantify animal-to-animal variability in cable lengths (CV = 0.4) and branching patterns in the Gastric Mill (GM) neuron, an identified neuron type with highly-conserved physiological properties in the crustacean stomatogastric ganglion (STG) of Cancer borealis. We examined passive GM electrotonic structure by measuring the amplitudes and apparent reversal potentials (E(rev)s) of inhibitory responses evoked with focal glutamate photo-uncaging in the presence of TTX. Apparent E(rev)s were relatively invariant across sites (mean CV ± SD = 0.04 ± 0.01; 7–20 sites in each of 10 neurons), which ranged between 100–800 µm from the somatic recording site. Thus, GM neurons are remarkably electrotonically compact (estimated λ > 1.5 mm). Electrotonically compact structures, in consort with graded transmission, provide an elegant solution to observed morphological variability in the STG. DOI: http://dx.doi.org/10.7554/eLife.23508.001 eLife Sciences Publications, Ltd 2017-02-06 /pmc/articles/PMC5323043/ /pubmed/28165322 http://dx.doi.org/10.7554/eLife.23508 Text en © 2017, Otopalik et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
Otopalik, Adriane G
Sutton, Alexander C
Banghart, Matthew
Marder, Eve
When complex neuronal structures may not matter
title When complex neuronal structures may not matter
title_full When complex neuronal structures may not matter
title_fullStr When complex neuronal structures may not matter
title_full_unstemmed When complex neuronal structures may not matter
title_short When complex neuronal structures may not matter
title_sort when complex neuronal structures may not matter
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5323043/
https://www.ncbi.nlm.nih.gov/pubmed/28165322
http://dx.doi.org/10.7554/eLife.23508
work_keys_str_mv AT otopalikadrianeg whencomplexneuronalstructuresmaynotmatter
AT suttonalexanderc whencomplexneuronalstructuresmaynotmatter
AT banghartmatthew whencomplexneuronalstructuresmaynotmatter
AT mardereve whencomplexneuronalstructuresmaynotmatter