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计算预测集胞藻 sp. WH8102 的渗透调节网络。

Computational prediction of the osmoregulation network in Synechococcus sp. WH8102.

机构信息

Department of Biochemistry and Molecular Biology and Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA.

出版信息

BMC Genomics. 2010 May 10;11:291. doi: 10.1186/1471-2164-11-291.

Abstract

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) sigma38, one of the seven types of sigma factors, probably serves as a global regulator coordinating the osmoregulation network and the other relevant networks.

摘要

背景

渗透胁迫是由细胞周围不可渗透溶质浓度的突然变化引起的,这会导致细胞内外瞬间发生水分流动,以平衡浓度。关于海洋聚球藻(一种主要的产氧光合蓝细菌属,对全球 CO2 固定有很大贡献)对渗透胁迫的详细响应机制,人们知之甚少。

结果

我们使用比较基因组分析和计算预测,对集胞藻 sp 株 WH8102 应对高渗胁迫的渗透调节网络进行了计算研究。在这项研究中,我们鉴定了关键的转运蛋白、合成酶、信号传感器蛋白和转录调节蛋白,并发现其中 15 个基因在轻度高渗胁迫下表达水平显著变化。

结论

从预测的网络模型中,我们对 WH8102 有了一些有趣的观察。具体来说,我们发现:(i)该生物可能使用甘氨酸甜菜碱作为主要的渗透调节剂,而葡萄糖基甘油、葡萄糖基甘油酸、海藻糖、蔗糖和精氨酸等作为次要的渗透调节剂,使其能够高效适应不断变化的环境;(ii)sigma38 是七种 sigma 因子之一,可能作为一个全局调节剂,协调渗透调节网络和其他相关网络。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6be/2874817/6520a57bd817/1471-2164-11-291-1.jpg

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