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Computational prediction of the osmoregulation network in Synechococcus sp. WH8102
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 Synechococcu...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2874817/ https://www.ncbi.nlm.nih.gov/pubmed/20459751 http://dx.doi.org/10.1186/1471-2164-11-291 |
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author | Mao, Xizeng Olman, Victor Stuart, Rhona Paulsen, Ian T Palenik, Brian Xu, Ying |
author_facet | Mao, Xizeng Olman, Victor Stuart, Rhona Paulsen, Ian T Palenik, Brian Xu, Ying |
author_sort | Mao, Xizeng |
collection | PubMed |
description | 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 CO(2 )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) σ(38), one of the seven types of σ factors, probably serves as a global regulator coordinating the osmoregulation network and the other relevant networks. |
format | Text |
id | pubmed-2874817 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28748172010-05-24 Computational prediction of the osmoregulation network in Synechococcus sp. WH8102 Mao, Xizeng Olman, Victor Stuart, Rhona Paulsen, Ian T Palenik, Brian Xu, Ying BMC Genomics Research Article 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 CO(2 )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) σ(38), one of the seven types of σ factors, probably serves as a global regulator coordinating the osmoregulation network and the other relevant networks. BioMed Central 2010-05-10 /pmc/articles/PMC2874817/ /pubmed/20459751 http://dx.doi.org/10.1186/1471-2164-11-291 Text en Copyright ©2010 Mao et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Mao, Xizeng Olman, Victor Stuart, Rhona Paulsen, Ian T Palenik, Brian Xu, Ying Computational prediction of the osmoregulation network in Synechococcus sp. WH8102 |
title | Computational prediction of the osmoregulation network in Synechococcus sp. WH8102 |
title_full | Computational prediction of the osmoregulation network in Synechococcus sp. WH8102 |
title_fullStr | Computational prediction of the osmoregulation network in Synechococcus sp. WH8102 |
title_full_unstemmed | Computational prediction of the osmoregulation network in Synechococcus sp. WH8102 |
title_short | Computational prediction of the osmoregulation network in Synechococcus sp. WH8102 |
title_sort | computational prediction of the osmoregulation network in synechococcus sp. wh8102 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2874817/ https://www.ncbi.nlm.nih.gov/pubmed/20459751 http://dx.doi.org/10.1186/1471-2164-11-291 |
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