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枯草芽孢杆菌168培养过程中正常表达差异的蛋白质组学分析。

Proteomic Analysis of Normal Expression Differences Exist in Bacillus Subtilis 168 Cultivation.

作者信息

Wang Jian-Qin, Yu Miao, Zhou Ying, Ye Bang-Ce

机构信息

Department of Food Science and Technology, School of Bioengineering, East China University of Science and Technology, Meilong RD 130, Shanghai, 200237, China.

Lab of Biosystems and Microanalysis, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Meilong RD 130, Shanghai, 200237, China.

出版信息

Curr Microbiol. 2018 Jul;75(7):803-810. doi: 10.1007/s00284-018-1451-y. Epub 2018 Feb 9.

Abstract

Biological science discovery often involves comparing conditions to a normal state, but little is known about "normal." Therefore, we used proteomic strategy to compare data from replicate samples of Bacillus subtilis 168 which were grown under identical condition. The results show that 294 differentially expressed proteins were annotated in 88 Gene Ontology functional groups and enriched in 13 KEGG pathways. We assume that normal expression differences are associated with adaptation to diverse environments. Moreover, five proteins (CotY, ThiG, SspA, SspB, and SspE) and their related genes were identified as having significantly different expressions at translational and transcriptional levels. Most of them are related to stress resistance and germination, indicating that normal expression differences can be regarded as a rapid response mechanism for survival. However, unstable protein expression may cause some fermentative problems that were observed in histidine and sulfur metabolism pathways. Our study facilitates dissection of the influence of biological variance on cultivation safety and stability.

摘要

生物学发现通常涉及将各种条件与正常状态进行比较,但人们对“正常”了解甚少。因此,我们采用蛋白质组学策略,比较了在相同条件下生长的枯草芽孢杆菌168重复样本的数据。结果表明,294种差异表达蛋白被注释到88个基因本体功能组中,并富集于13条KEGG通路。我们推测正常表达差异与适应不同环境有关。此外,鉴定出5种蛋白质(CotY、ThiG、SspA、SspB和SspE)及其相关基因在翻译和转录水平上具有显著差异表达。它们中的大多数与抗逆性和萌发有关,这表明正常表达差异可被视为一种生存的快速反应机制。然而,不稳定的蛋白质表达可能会导致在组氨酸和硫代谢途径中观察到的一些发酵问题。我们的研究有助于剖析生物变异对培养安全性和稳定性的影响。

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