A Comparative Proteome Analysis ofEscherichia coliΔrelA Mutant Cells.
The bacterial RelA-dependent stringent response exerts a strong influence over various processes. In this work, the impact of therelA gene mutation inEscherichia colicells was evaluated by a quantitative proteomics analysis, employing stable-isotope labeling and high-resolution mass spectrometry. Chemostat cultures ofE. coliW3110 and ΔrelA mutant strains were performed at two dilution rates (0.1 and 0.2 h-1) to assess the influence of therelA gene mutation in steady-state protein levels. A total of 121 proteins showed significant alterations in their abundance when comparing the proteome of mutant to wild-type cells. TherelA gene mutation induced changes on key cellular processes, including the amino acids and nucleotide biosynthesis, the lipid metabolism, transport activities, transcription and translation processes, and responses to stress. Furthermore, some of those changes were more pronounced under specific growth conditions, as the most significant differences in protein ratios were observed at one of the dilution rates. An effect of therelA gene mutation in the acetate overflow was also observed, which confers interesting characteristics to this mutant strain that could be useful in the production of recombinant proteins. Overall, these results provide a valuable insight into theE. colistringent response under defined steady-state conditions, suggesting that this stress response might influence multiple metabolic processes like the acetate overflow or the catabolite repression.
CEB - Centre of Biological Engineering, University of Minho , Braga , Portugal.
Sónia
S
Carneiro
Centre for Microbial Innovation, School of Biological Sciences, The University of Auckland , Auckland , New Zealand.
Silas
S
Villas-Bôas
CEB - Centre of Biological Engineering, University of Minho , Braga , Portugal.
Eugénio C
EC
Ferreira
CEB - Centre of Biological Engineering, University of Minho , Braga , Portugal.
Isabel
I
Rocha
RelA; iTRAQ analysis; proteome profiling; quantitative proteomics; stringent response