Dataset Information

Highly precise quantification of protein molecules per cell during stress and starvation responses in Bacillus subtilis.

ABSTRACT: Systems biology based on high quality absolute quantification data, which are mandatory for the simulation of biological processes, successively becomes important for life sciences. We provide protein concentrations on the level of molecules per cell for more than 700 cytosolic proteins of the Gram-positive model bacterium Bacillus subtilis during adaptation to changing growth conditions. As glucose starvation and heat stress are typical challenges in B. subtilis' natural environment and induce both, specific and general stress and starvation proteins, these conditions were selected as models for starvation and stress responses. Analyzing samples from numerous time points along the bacterial growth curve yielded reliable and physiologically relevant data suitable for modeling of cellular regulation under altered growth conditions. The analysis of the adaptational processes based on protein molecules per cell revealed stress-specific modulation of general adaptive responses in terms of protein amount and proteome composition. Furthermore, analysis of protein repartition during glucose starvation showed that biomass seems to be redistributed from proteins involved in amino acid biosynthesis to enzymes of the central carbon metabolism. In contrast, during heat stress most resources of the cell, namely those from amino acid synthetic pathways, are used to increase the amount of chaperones and proteases. Analysis of dynamical aspects of protein synthesis during heat stress adaptation revealed, that these proteins make up almost 30% of the protein mass accumulated during early phases of this stress.

SUBMITTER: Maa? S

PROVIDER: S-EPMC4159648 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Highly precise quantification of protein molecules per cell during stress and starvation responses in Bacillus subtilis.

Maaβ Sandra S Wachlin Gerhild G Bernhardt Jörg J Eymann Christine C Fromion Vincent V Riedel Katharina K Becher Dörte D Hecker Michael M

Molecular & cellular proteomics : MCP 20140530 9

Systems biology based on high quality absolute quantification data, which are mandatory for the simulation of biological processes, successively becomes important for life sciences. We provide protein concentrations on the level of molecules per cell for more than 700 cytosolic proteins of the Gram-positive model bacterium Bacillus subtilis during adaptation to changing growth conditions. As glucose starvation and heat stress are typical challenges in B. subtilis' natural environment and induce ...[more]

PMID: 24878497

Similar Datasets

Project description:Horizontal gene transfer (HGT) is a driving force for bacterial evolution that occurs via conjugation, transduction, and transformation. Whereas conjugation and transduction depend on nonbacterial vehicles, transformation is considered a naturally occurring process in which naked DNA molecules are taken up by a competent recipient cell. Here, we report that HGT occurred between two Bacillus subtilis strains cocultured on a minimum medium agar plate for 10 h. This process was almost completely resistant to DNase treatment and appeared to require close proximity between cells. The deletion of comK in the recipient completely abolished gene transfer, indicating that the process involved transformation. This process was also highly efficient, reaching 1.75 × 106 transformants/μg DNA compared to 5.3 × 103 and 1.86 × 105 transformants/μg DNA for DNA-to-cell transformation by the same agar method and the standard two-step procedure, respectively. Interestingly, when three distantly localized chromosomal markers were selected simultaneously, the efficiency of cell-to-cell transformation still reached 6.26 × 104 transformants/μg DNA, whereas no transformants were obtained when free DNA was used as the donor. Stresses, such as starvation and exposure to antibiotics, further enhanced transformation efficiency by affecting the donor cells, suggesting that stress served as an important signal for promoting this type of HGT. Taken together, our results defined a bona fide process of cell-to-cell natural transformation (CTCNT) in B. subtilis and related species. This finding reveals the previously unrecognized role of donor cells in bacterial natural transformation and improves our understanding of how HGT drives bacterial evolution at a mechanistic level.IMPORTANCE Because DNA is easily prepared, studies of bacterial natural genetic transformation traditionally focus on recipient cells. However, such laboratory artifacts cannot explain how this process occurs in nature. In most cases, competence is only transient and involves approximately 20 to 50 genes, and it is unreasonable for bacteria to spend so many genetic resources on unpredictable and uncertain environmental DNA. Here, we characterized a donor cell-dependent CTCNT process in B. subtilis and related species that was almost completely resistant to DNase treatment and was more efficient than classical natural transformation using naked DNA as a donor, i.e., DNA-to-cell transformation, suggesting that DNA donor cells were also important in the transformation process in natural environments.

Dataset Information

Highly precise quantification of protein molecules per cell during stress and starvation responses in Bacillus subtilis.

Publications

Highly precise quantification of protein molecules per cell during stress and starvation responses in Bacillus subtilis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets