Functionalization of a protosynaptic gene expression network

Conaco, Cecilia, Bassett, Danielle S., Zhou, Hongjun, Arcila, Mary Luz, Degnan, Sandie M., Degnan, Bernard M. and Kosik, Kenneth S. (2012) Functionalization of a protosynaptic gene expression network. Proceedings of the National Academy of Sciences of the United States of America, 109 Supplement 1: 10612-10618. doi:10.1073/pnas.1201890109


Author Conaco, Cecilia
Bassett, Danielle S.
Zhou, Hongjun
Arcila, Mary Luz
Degnan, Sandie M.
Degnan, Bernard M.
Kosik, Kenneth S.
Total Author Count Override 7
Title Functionalization of a protosynaptic gene expression network
Journal name Proceedings of the National Academy of Sciences of the United States of America   Check publisher's open access policy
ISSN 0027-8424
Publication date 2012-06-01
Sub-type Article (original research)
DOI 10.1073/pnas.1201890109
Open Access Status Not Open Access
Volume 109
Issue Supplement 1
Start page 10612
End page 10618
Total pages 7
Place of publication Washington, DC, United States
Publisher National Academy of Sciences
Collection year 2013
Language eng
Abstract Assembly of a functioning neuronal synapse requires the precisely coordinated synthesis of many proteins. To understand the evolution of this complex cellular machine, we tracked the developmental expression patterns of a core set of conserved synaptic genes across a representative sampling of the animal kingdom. Coregulation, as measured by correlation of gene expression over development, showed a marked increase as functional nervous systems emerged. In the earliest branching animal phyla (Porifera), in which a nearly complete set of synaptic genes exists in the absence of morphological synapses, these “protosynaptic” genes displayed a lack of global coregulation although small modules of coexpressed genes are readily detectable by using network analysis techniques. These findings suggest that functional synapses evolved by exapting preexisting cellular machines, likely through some modification of regulatory circuitry. Evolutionarily ancient modules continue to operate seamlessly within the synapses of modern animals. This work shows that the application of network techniques to emerging genomic and expression data can provide insights into the evolution of complex cellular machines such as the synapse.
Keyword Synapse evolution
Community detection
Developmental transcriptome
Amphimedon queenslandica
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2013 Collection
School of Biological Sciences Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 21 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 21 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Tue, 07 Aug 2012, 11:50:34 EST by Gail Walter on behalf of School of Biological Sciences