Literature DB >> 22190622

Animal-to-animal variability of connection strength in the leech heartbeat central pattern generator.

Rebecca C Roffman1, Brian J Norris, Ronald L Calabrese.   

Abstract

The heartbeat central pattern generator (CPG) in medicinal leeches controls blood flow within a closed circulatory by programming the constrictions of two parallel heart tubes. This circuit reliably produces a stereotyped fictive pattern of activity and has been extensively characterized. Here we determined, as quantitatively as possible, the strength of each inhibitory synapse and electrical junction within the core circuit of the heartbeat CPG. We also examined the animal-to-animal variability in strengths of these connections and, for some, determined the correlations between connections to the same postsynaptic target. The core CPG is composed of seven bilateral pairs of heart interneurons connected via both inhibitory chemical synapses and electrical junctions. Fifteen different connections within the core CPG were measured for strength using extracellular presynaptic recordings and postsynaptic voltage-clamp recordings across a minimum of seven individuals each, and the animal-to-animal variability was characterized. Connection strengths within the core network varied three to more than sevenfold among individuals (depending on the specific connection). The balance between two inputs onto various postsynaptic targets was explored by within-individual comparisons and correlation across individuals. Of the seven comparisons made within the core CPG, three showed a clear correlation of connection strengths, while the other four did not. We conclude that the leech heartbeat CPG can withstand wide variability in connection strengths and still produce stereotyped output. The network appears to preserve the relative strengths of some pairs of inputs, despite the animal-to-animal variability.

Mesh:

Year:  2011        PMID: 22190622      PMCID: PMC3311676          DOI: 10.1152/jn.00903.2011

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  43 in total

1.  Phase relationships between segmentally organized oscillators in the leech heartbeat pattern generating network.

Authors:  Mark A Masino; Ronald L Calabrese
Journal:  J Neurophysiol       Date:  2002-03       Impact factor: 2.714

Review 2.  Degeneracy and complexity in biological systems.

Authors:  G M Edelman; J A Gally
Journal:  Proc Natl Acad Sci U S A       Date:  2001-11-06       Impact factor: 11.205

Review 3.  Invertebrate central pattern generator circuits.

Authors:  Allen I Selverston
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-08-12       Impact factor: 6.237

4.  Hemodynamics in the leech: blood flow in two hearts switching between two constriction patterns.

Authors:  Angela Wenning; Eric P Meyer
Journal:  J Exp Biol       Date:  2007-08       Impact factor: 3.312

Review 5.  Variability, compensation, and modulation in neurons and circuits.

Authors:  Eve Marder
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-07       Impact factor: 11.205

Review 6.  Chapter 3--networks within networks: the neuronal control of breathing.

Authors:  Alfredo J Garcia; Sebastien Zanella; Henner Koch; Atsushi Doi; Jan-Marino Ramirez
Journal:  Prog Brain Res       Date:  2011       Impact factor: 2.453

Review 7.  The self-tuning neuron: synaptic scaling of excitatory synapses.

Authors:  Gina G Turrigiano
Journal:  Cell       Date:  2008-10-31       Impact factor: 41.582

8.  Conductance ratios and cellular identity.

Authors:  Amber E Hudson; Astrid A Prinz
Journal:  PLoS Comput Biol       Date:  2010-07-01       Impact factor: 4.475

9.  Channel density distributions explain spiking variability in the globus pallidus: a combined physiology and computer simulation database approach.

Authors:  Cengiz Günay; Jeremy R Edgerton; Dieter Jaeger
Journal:  J Neurosci       Date:  2008-07-23       Impact factor: 6.167

10.  Correlations in ion channel mRNA in rhythmically active neurons.

Authors:  Anne-Elise Tobin; Nelson D Cruz-Bermúdez; Eve Marder; David J Schulz
Journal:  PLoS One       Date:  2009-08-25       Impact factor: 3.240

View more
  46 in total

1.  Related neuropeptides use different balances of unitary mechanisms to modulate the cardiac neuromuscular system in the American lobster, Homarus americanus.

Authors:  Patsy S Dickinson; Andrew Calkins; Jake S Stevens
Journal:  J Neurophysiol       Date:  2014-11-12       Impact factor: 2.714

Review 2.  Homology and homoplasy of swimming behaviors and neural circuits in the Nudipleura (Mollusca, Gastropoda, Opisthobranchia).

Authors:  James M Newcomb; Akira Sakurai; Joshua L Lillvis; Charuni A Gunaratne; Paul S Katz
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-20       Impact factor: 11.205

Review 3.  Animal-to-Animal Variability in Neuromodulation and Circuit Function.

Authors:  Albert W Hamood; Eve Marder
Journal:  Cold Spring Harb Symp Quant Biol       Date:  2015-04-15

4.  The neuromuscular transform of the lobster cardiac system explains the opposing effects of a neuromodulator on muscle output.

Authors:  Alex H Williams; Andrew Calkins; Timothy O'Leary; Renee Symonds; Eve Marder; Patsy S Dickinson
Journal:  J Neurosci       Date:  2013-10-16       Impact factor: 6.167

5.  Motor neuronal activity varies least among individuals when it matters most for behavior.

Authors:  Miranda J Cullins; Kendrick M Shaw; Jeffrey P Gill; Hillel J Chiel
Journal:  J Neurophysiol       Date:  2014-11-19       Impact factor: 2.714

6.  A balance of outward and linear inward ionic currents is required for generation of slow-wave oscillations.

Authors:  Jorge Golowasch; Amitabha Bose; Yinzheng Guan; Dalia Salloum; Andrea Roeser; Farzan Nadim
Journal:  J Neurophysiol       Date:  2017-05-24       Impact factor: 2.714

7.  Ionic Current Variability and Functional Stability in the Nervous System.

Authors:  Jorge Golowasch
Journal:  Bioscience       Date:  2014-07       Impact factor: 8.589

Review 8.  Computational models in the age of large datasets.

Authors:  Timothy O'Leary; Alexander C Sutton; Eve Marder
Journal:  Curr Opin Neurobiol       Date:  2015-01-29       Impact factor: 6.627

9.  Distributions of active spinal cord neurons during swimming and scratching motor patterns.

Authors:  Jonathan W Mui; Katie L Willis; Zhao-Zhe Hao; Ari Berkowitz
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2012-09-18       Impact factor: 1.836

10.  Animal-to-animal variability in the phasing of the crustacean cardiac motor pattern: an experimental and computational analysis.

Authors:  Alex H Williams; Molly A Kwiatkowski; Adam L Mortimer; Eve Marder; Mary Lou Zeeman; Patsy S Dickinson
Journal:  J Neurophysiol       Date:  2013-02-27       Impact factor: 2.714

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.