2010
DOI: 10.1186/1471-2164-11-291
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Computational prediction of the osmoregulation network in Synechococcus sp. WH8102

Abstract: BackgroundOsmotic 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.ResultsWe present here a computational study of the osmoregulation network in response to hyperosmotic… Show more

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Cited by 14 publications
(13 citation statements)
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“…[ 50 ]. As discussed above, this knowledge also allows the prediction of novel producers of glycine betaine form genome sequencing projects [ 51 ] and the computational prediction of osmoregulatory networks in cyanobacteria [ 52 ].…”
Section: Compatible Solutes–universal and Usefulmentioning
confidence: 99%
“…[ 50 ]. As discussed above, this knowledge also allows the prediction of novel producers of glycine betaine form genome sequencing projects [ 51 ] and the computational prediction of osmoregulatory networks in cyanobacteria [ 52 ].…”
Section: Compatible Solutes–universal and Usefulmentioning
confidence: 99%
“…P. salivibrio survives in salt concentrations between 1 and 5% [ 1 ], sufficient to explain its presence in a saltern, but not tolerant in the range reached by some extreme halophiles. The P. salivibrio genome was compared to the compendium of resources for dealing with osmotic stress discussed for Synechococcus [ 44 ] and other systems as represented in the panel of representative genomes (Additional file 2 : Table S2, osmotic stress). At the most basic level, in all bacteria Na + is actively exported and K + is actively imported to balance osmotic stress.…”
Section: Resultsmentioning
confidence: 99%
“…CINPER wraps the P-MAP program with an intuitive web interface, allowing a user to set the BLAST E-value cut-off (10 −6 as the default) for orthologous gene search against each organism if needed using the “Organism-specific mapping” form. For the user-specified target genome, CINPER retrieves the operon information from the DOOR operon database [17]. The mapping result consists of the initial pathway model (generally fragmented), in which all the genes are listed together and left for the user to decide if conflicts occur and how to fix them.…”
Section: Resultsmentioning
confidence: 99%