Literature DB >> 26122999

Label-free quantification reveals major proteomic changes in Pseudomonas putida F1 during the exponential growth phase.

Florian-Alexander Herbst1, Heidi Nolsøe Danielsen1, Reinhard Wimmer1, Per Halkjaer Nielsen1, Morten Simonsen Dueholm1.   

Abstract

The physiological adaptation to stationary growth by Pseudomonas putida F1, a model organism for the degradation of aromatic compounds, was investigated by proteome-wide label-free quantification.The data unveiled that entrance to the stationary phase did not involve an abrupt switch within the P. putida F1 proteome, but rather an ongoing adaptation that started already during the mid-exponential growth phase. The proteomic adaptations involved a clear increase in amino acid degradation capabilities and a loss of transcriptional as well as translational capacity. The final entrance to the stationary phase was accompanied by increased oxidative stress protection, although the stress and stationary sigma factor RpoS increased in abundance already during mid-exponential growth. The results show that it is important to consider significant sample variations when exponentially growing cultures are studied alone or compared across proteomic or transcriptomic literature. All MS data have been deposited in the ProteomeXchange with identifier PXD001219 (http://proteomecentral.proteomexchange.org/dataset/PXD001219).
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Exponential phase; Growth adaptation; Microbial proteomics; Microbiology; Pseudomonas putida F1; Stationary phase

Mesh:

Substances:

Year:  2015        PMID: 26122999     DOI: 10.1002/pmic.201400482

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  4 in total

1.  Enhancing the Production of the Fungal Pigment Aurofusarin in Fusarium graminearum.

Authors:  Klaus Ringsborg Westphal; Rasmus Dam Wollenberg; Florian-Alexander Herbst; Jens Laurids Sørensen; Teis Esben Sondergaard; Reinhard Wimmer
Journal:  Toxins (Basel)       Date:  2018-11-21       Impact factor: 4.546

2.  A rapid methods development workflow for high-throughput quantitative proteomic applications.

Authors:  Yan Chen; Jonathan Vu; Mitchell G Thompson; William A Sharpless; Leanne Jade G Chan; Jennifer W Gin; Jay D Keasling; Paul D Adams; Christopher J Petzold
Journal:  PLoS One       Date:  2019-02-14       Impact factor: 3.240

3.  The Proteome of Tetrasphaera elongata is adapted to Changing Conditions in Wastewater Treatment Plants.

Authors:  Florian-Alexander Herbst; Morten S Dueholm; Reinhard Wimmer; Per Halkjær Nielsen
Journal:  Proteomes       Date:  2019-04-25

4.  Isolate Specific Cold Response of Yersinia enterocolitica in Transcriptional, Proteomic, and Membrane Physiological Changes.

Authors:  Chenyang Li; Jayaseelan Murugaiyan; Christian Thomas; Thomas Alter; Carolin Riedel
Journal:  Front Microbiol       Date:  2020-01-23       Impact factor: 5.640

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.