TY - JOUR
T1 - Computational prediction of the osmoregulation network in Synechococcus sp. WH8102
AU - Mao, Xizeng
AU - Olman, Victor
AU - Stuart, Rhona
AU - Paulsen, Ian T.
AU - Palenik, Brian
AU - Xu, Ying
N1 - Funding Information:
This work was supported in part by the National Science Foundation (DBI-0542119 to YX and BP, DEB-0830024) and the DOE BioEnergy Science Center grant. We thank all the members of the comparative genomics group of the CSBL Lab at UGA, especially Dr. Fenglou Mao for the help with the P-MAP program and operon prediction. We thank Mr. Bingqiang Liu for helpful discussions about orthology mapping, and Dr. Huiling Chen for discussions about structure prediction, Dr. Xiaojia Tang for discussions about phylogenetic profile analysis. We also thank Dr. Zhengchang Su and Ms. Shan Li of the University of North Carolina at Charlotte for providing programs for phylogenetic analysis and data published in the previous work.
PY - 2010/5/10
Y1 - 2010/5/10
N2 - Background: Osmotic stress is caused by sudden changes in the impermeable solute concentration around a cell, which induces instantaneous water flow in or out of the cell to balance the concentration. Very little is known about the detailed response mechanism to osmotic stress in marine Synechococcus, one of the major oxygenic phototrophic cyanobacterial genera that contribute greatly to the global CO2 fixation.Results: We present here a computational study of the osmoregulation network in response to hyperosmotic stress of Synechococcus sp strain WH8102 using comparative genome analyses and computational prediction. In this study, we identified the key transporters, synthetases, signal sensor proteins and transcriptional regulator proteins, and found experimentally that of these proteins, 15 genes showed significantly changed expression levels under a mild hyperosmotic stress.Conclusions: From the predicted network model, we have made a number of interesting observations about WH8102. Specifically, we found that (i) the organism likely uses glycine betaine as the major osmolyte, and others such as glucosylglycerol, glucosylglycerate, trehalose, sucrose and arginine as the minor osmolytes, making it efficient and adaptable to its changing environment; and (ii) σ38, one of the seven types of σ factors, probably serves as a global regulator coordinating the osmoregulation network and the other relevant networks.
AB - Background: Osmotic stress is caused by sudden changes in the impermeable solute concentration around a cell, which induces instantaneous water flow in or out of the cell to balance the concentration. Very little is known about the detailed response mechanism to osmotic stress in marine Synechococcus, one of the major oxygenic phototrophic cyanobacterial genera that contribute greatly to the global CO2 fixation.Results: We present here a computational study of the osmoregulation network in response to hyperosmotic stress of Synechococcus sp strain WH8102 using comparative genome analyses and computational prediction. In this study, we identified the key transporters, synthetases, signal sensor proteins and transcriptional regulator proteins, and found experimentally that of these proteins, 15 genes showed significantly changed expression levels under a mild hyperosmotic stress.Conclusions: From the predicted network model, we have made a number of interesting observations about WH8102. Specifically, we found that (i) the organism likely uses glycine betaine as the major osmolyte, and others such as glucosylglycerol, glucosylglycerate, trehalose, sucrose and arginine as the minor osmolytes, making it efficient and adaptable to its changing environment; and (ii) σ38, one of the seven types of σ factors, probably serves as a global regulator coordinating the osmoregulation network and the other relevant networks.
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U2 - 10.1186/1471-2164-11-291
DO - 10.1186/1471-2164-11-291
M3 - Article
C2 - 20459751
AN - SCOPUS:77951973218
SN - 1471-2164
VL - 11
JO - BMC genomics
JF - BMC genomics
IS - 1
M1 - 291
ER -