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  The morphological identity of insect dendrites

Cuntz, H., Förstner, F., Haag, J., & Borst, A. (2008). The morphological identity of insect dendrites. PLoS Computational Biology, 4(12): e1000251. doi:10.1371/journal.pcbi.1000251.

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journal.pcbi.1000251.pdf (beliebiger Volltext), 924KB
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 Urheber:
Cuntz, H.1, Autor           
Förstner, Friedrich1, Autor           
Haag, J.1, Autor           
Borst, A.1, Autor           
Affiliations:
1Department: Systems and Computational Neurobiology / Borst, MPI of Neurobiology, Max Planck Society, ou_1113548              

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 Zusammenfassung: Dendrite morphology, a neuron's anatomical fingerprint, is a neuroscientist's asset in unveiling organizational principles in the brain. However, the genetic program encoding the morphological identity of a single dendrite remains a mystery. In order to obtain a formal understanding of dendritic branching, we studied distributions of morphological parameters in a group of four individually identifiable neurons of the fly visual system. We found that parameters relating to the branching topology were similar throughout all cells. Only parameters relating to the area covered by the dendrite were cell type specific. With these areas, artificial dendrites were grown based on optimization principles minimizing the amount of wiring and maximizing synaptic democracy. Although the same branching rule was used for all cells, this yielded dendritic structures virtually indistinguishable from their real counterparts. From these principles we derived a fully-automated model-based neuron reconstruction procedure validating the artificial branching rule. In conclusion, we suggest that the genetic program implementing neuronal branching could be constant in all cells whereas the one responsible for the dendrite spanning field should be cell specific.

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Sprache(n): eng - English
 Datum: 2008-12-26
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: eDoc: 429912
ISI: 000263923800007
DOI: 10.1371/journal.pcbi.1000251
 Art des Abschluß: -

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Titel: PLoS Computational Biology
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: San Francisco, CA : Public Library of Science
Seiten: - Band / Heft: 4 (12) Artikelnummer: e1000251 Start- / Endseite: - Identifikator: ISSN: 1553-734X
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000017180_1