![]() | ![]() |
Formats:
|
||||
Copyright © The Author 2006. Published by Oxford University Press. All rights reserved Computational inference and experimental validation of the nitrogen assimilation regulatory network in cyanobacterium Synechococcus sp. WH 8102 1Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA 30602, USA 2Computational Biology Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA 3The Institute of Genome Research, Rockville, MD 20850, USA 4Scripps Institution of Oceanography, University of California at San Diego, San Diego, CA 92093, USA *To whom correspondence should be addressed at Department of Biochemistry and Molecular Biology, A110 Life Sciences Building, 120 Green Street, University of Georgia, Athens, GA, 30602. Tel: +1 706 542 9779; Fax: +1 706 542 9751; Email: xyn/at/bmb.uga.edu Received October 6, 2005; Revised December 20, 2005; Accepted January 23, 2006. The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions/at/oxfordjournals.org This article has been cited by other articles in PMC.Abstract Deciphering the regulatory networks encoded in the genome of an organism represents one of the most interesting and challenging tasks in the post-genome sequencing era. As an example of this problem, we have predicted a detailed model for the nitrogen assimilation network in cyanobacterium Synechococcus sp. WH 8102 (WH8102) using a computational protocol based on comparative genomics analysis and mining experimental data from related organisms that are relatively well studied. This computational model is in excellent agreement with the microarray gene expression data collected under ammonium-rich versus nitrate-rich growth conditions, suggesting that our computational protocol is capable of predicting biological pathways/networks with high accuracy. We then refined the computational model using the microarray data, and proposed a new model for the nitrogen assimilation network in WH8102. An intriguing discovery from this study is that nitrogen assimilation affects the expression of many genes involved in photosynthesis, suggesting a tight coordination between nitrogen assimilation and photosynthesis processes. Moreover, for some of these genes, this coordination is probably mediated by NtcA through the canonical NtcA promoters in their regulatory regions. |
PubMed related articles
Your browsing activity is empty. Activity recording is turned off. |
|||