Computational identification of candidate nucleotide cyclases in higher plants
Type
ArticleKAUST Department
Biological and Environmental Sciences and Engineering (BESE) DivisionBioscience Program
Molecular Signalling Group
Date
2013-09-03Permanent link to this record
http://hdl.handle.net/10754/562967
Metadata
Show full item recordAbstract
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. © Springer Science+Business Media New York 2013.Publisher
Humana PressJournal
Methods in Molecular BiologyISBN
9781627034401PubMed ID
23681580ae974a485f413a2113503eed53cd6c53
10.1007/978-1-62703-441-8-13
Scopus Count
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