Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12540/73
Title: Computational identification of candidate nucleotide cyclases in higher plants
Authors: Wong, Aloysius 
Gehring, Chris 
Issue Date: 2013
Publisher: Totowa, NJ: Humana Press
Source: Wong, A., & Gehring, C. (2013). Computational identification of candidate nucleotide cyclases in higher plants. In Cyclic Nucleotide Signaling in Plants (pp. 195-205). Humana Press, Totowa, NJ.
Journal: Cyclic Nucleotide Signaling in Plants
Abstract: In higher plants guanylyl cyclases (GCs) and adenylyl cyclases (ACs) cannot be identified using BLAST homology searches based on annotated cyclic nucleotide cyclases (CNCs) of prokaryotes, lower eukaryotes, or animals. The reason is that CNCs are often part of complex multifunctional proteins with different domain organizations and biological functions that are not conserved in higher plants. For this reason, we have developed CNC search strategies based on functionally conserved amino acids in the catalytic center of annotated and/or experimentally confirmed CNCs. Here we detail this method which has led to the identification of >25 novel candidate CNCs in Arabidopsis thaliana, several of which have been experimentally confirmed in vitro and in vivo. We foresee that the application of this method can be used to identify many more members of the growing family of CNCs in higher plants.
URI: https://hdl.handle.net/20.500.12540/73
DOI: 10.1007/978-1-62703-441-8_13
Appears in Collections:Scholarly Publications

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