Literature DB >> 29427007

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

Jian-Qin Wang1, Miao Yu1, Ying Zhou2, Bang-Ce Ye3,4.   

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.

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Year:  2018        PMID: 29427007     DOI: 10.1007/s00284-018-1451-y

Source DB:  PubMed          Journal:  Curr Microbiol        ISSN: 0343-8651            Impact factor:   2.188


  31 in total

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2.  First succinyl-proteome profiling of extensively drug-resistant Mycobacterium tuberculosis revealed involvement of succinylation in cellular physiology.

Authors:  Longxiang Xie; Wei Liu; Qiming Li; Shudan Chen; Mengmeng Xu; Qinqin Huang; Jie Zeng; Mingliang Zhou; Jianping Xie
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3.  Biological versus technical variability in 2-D DIGE experiments with environmental bacteria.

Authors:  Hajo Zech; Christoph Echtermeyer; Lars Wöhlbrand; Bernd Blasius; Ralf Rabus
Journal:  Proteomics       Date:  2011-08       Impact factor: 3.984

4.  Genome-wide analysis of the general stress response in Bacillus subtilis.

Authors:  C W Price; P Fawcett; H Cérémonie; N Su; C K Murphy; P Youngman
Journal:  Mol Microbiol       Date:  2001-08       Impact factor: 3.501

5.  The response of Bacillus licheniformis to heat and ethanol stress and the role of the SigB regulon.

Authors:  Birgit Voigt; Rebecca Schroeter; Britta Jürgen; Dirk Albrecht; Stefan Evers; Johannes Bongaerts; Karl-Heinz Maurer; Thomas Schweder; Michael Hecker
Journal:  Proteomics       Date:  2013-07       Impact factor: 3.984

6.  Adaptation of Bacillus subtilis to growth at low temperature: a combined transcriptomic and proteomic appraisal.

Authors:  Ina Budde; Leif Steil; Christian Scharf; Uwe Völker; Erhard Bremer
Journal:  Microbiology (Reading)       Date:  2006-03       Impact factor: 2.777

7.  Effect of alteration of the acetic acid synthesis pathway on the fermentation pattern of escherichia coli.

Authors:  J C Diaz-Ricci; L Regan; J E Bailey
Journal:  Biotechnol Bioeng       Date:  1991-12-20       Impact factor: 4.530

8.  Effect of hydrogen sulfide on growth of sulfate reducing bacteria.

Authors:  M A Reis; J S Almeida; P C Lemos; M J Carrondo
Journal:  Biotechnol Bioeng       Date:  1992-08       Impact factor: 4.530

9.  Gel-free and gel-based proteomics in Bacillus subtilis: a comparative study.

Authors:  Susanne Wolff; Andreas Otto; Dirk Albrecht; Jianru Stahl Zeng; Knut Büttner; Matthias Glückmann; Michael Hecker; Dörte Becher
Journal:  Mol Cell Proteomics       Date:  2006-03-21       Impact factor: 5.911

10.  iTRAQ-based proteomic analysis of the metabolism mechanism associated with silicon response in the marine diatom Thalassiosira pseudonana.

Authors:  Chao Du; Jun-Rong Liang; Dan-Dan Chen; Bin Xu; Wen-Hao Zhuo; Ya-Hui Gao; Chang-Ping Chen; Chris Bowler; Wen Zhang
Journal:  J Proteome Res       Date:  2014-01-08       Impact factor: 4.466

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