Literature DB >> 12571596

The contribution of Shaker K+ channels to the information capacity of Drosophila photoreceptors.

Jeremy E Niven1, Mikko Vähäsöyrinki, Mika Kauranen, Roger C Hardie, Mikko Juusola, Matti Weckström.   

Abstract

An array of rapidly inactivating voltage-gated K+ channels is distributed throughout the nervous systems of vertebrates and invertebrates. Although these channels are thought to regulate the excitability of neurons by attenuating voltage signals, their specific functions are often poorly understood. We studied the role of the prototypical inactivating K+ conductance, Shaker, in Drosophila photoreceptors by recording intracellularly from wild-type and Shaker mutant photoreceptors. Here we show that loss of the Shaker K+ conductance produces a marked reduction in the signal-to-noise ratio of photoreceptors, generating a 50% decrease in the information capacity of these cells in fully light-adapted conditions. By combining experiments with modelling, we show that the inactivation of Shaker K+ channels amplifies voltage signals and enables photoreceptors to use their voltage range more effectively. Loss of the Shaker conductance attenuated the voltage signal and induced a compensatory decrease in impedance. Our results demonstrate the importance of the Shaker K+ conductance for neural coding precision and as a mechanism for selectively amplifying graded signals in neurons, and highlight the effect of compensatory mechanisms on neuronal information processing.

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Year:  2003        PMID: 12571596     DOI: 10.1038/nature01384

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  33 in total

1.  Shaker K(+)-channels are predicted to reduce the metabolic cost of neural information in Drosophila photoreceptors.

Authors:  J E Niven; M Vähäsöyrinki; M Juusola
Journal:  Proc Biol Sci       Date:  2003-08-07       Impact factor: 5.349

2.  Frequency-selective transmission of graded signals in large monopolar neurons of blowfly Calliphora vicina compound eye.

Authors:  Juha Rusanen; Matti Weckström
Journal:  J Neurophysiol       Date:  2016-02-03       Impact factor: 2.714

3.  Dissection of synaptic excitability phenotypes by using a dominant-negative Shaker K+ channel subunit.

Authors:  Timothy J Mosca; Robert A Carrillo; Benjamin H White; Haig Keshishian
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-22       Impact factor: 11.205

4.  Robustness of neural coding in Drosophila photoreceptors in the absence of slow delayed rectifier K+ channels.

Authors:  Mikko Vähäsöyrinki; Jeremy E Niven; Roger C Hardie; Matti Weckström; Mikko Juusola
Journal:  J Neurosci       Date:  2006-03-08       Impact factor: 6.167

5.  Performance of blue- and green-sensitive photoreceptors of the cricket Gryllus bimaculatus.

Authors:  Roman V Frolov; Esa-Ville Immonen; Matti Weckström
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2014-01-08       Impact factor: 1.836

6.  Application of network method as a tool for integrating biodiversity values in Environmental Impact Assessment.

Authors:  Masoud Monavari; Samaneh M B Fard
Journal:  Environ Monit Assess       Date:  2010-02-20       Impact factor: 2.513

7.  Voltage-dependent K+ channels improve the energy efficiency of signalling in blowfly photoreceptors.

Authors:  Francisco J H Heras; John Anderson; Simon B Laughlin; Jeremy E Niven
Journal:  J R Soc Interface       Date:  2017-04       Impact factor: 4.118

Review 8.  Insect photoreceptor adaptations to night vision.

Authors:  Anna Honkanen; Esa-Ville Immonen; Iikka Salmela; Kyösti Heimonen; Matti Weckström
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-04-05       Impact factor: 6.237

9.  Membrane filtering properties of the bumblebee (Bombus terrestris) photoreceptors across three spectral classes.

Authors:  Antti Vähäkainu; Mikko Vähäsöyrinki; Matti Weckström
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2013-04-10       Impact factor: 1.836

10.  Action potential energy efficiency varies among neuron types in vertebrates and invertebrates.

Authors:  Biswa Sengupta; Martin Stemmler; Simon B Laughlin; Jeremy E Niven
Journal:  PLoS Comput Biol       Date:  2010-07-01       Impact factor: 4.475

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