Back

Global transcriptional regulators fine-tune the translational and metabolic machinery in Escherichia coli under anaerobic fermentation

Iyer, M. S.; Pal, A.; Srinivasan, S.; Somvanshi, P. R.; Venkatesh, K. V.

2020-08-10 systems biology
10.1101/2020.07.17.209353 bioRxiv
Show abstract

Complex regulatory interactions between genetic and metabolic networks together confer robustness against external and internal perturbations in an organism such as Escherichia coli. In balanced exponential growth, this robustness is attributed to cost-effective metabolism by means of efficient resource allocation coordinated by the interplay of global transcriptional regulators with growth-rate dependent machinery. Here, we reappraise the role of global transcriptional regulators FNR, ArcA and IHF, integral to sustaining proteome-efficiency in anaerobic fermentative conditions, fundamental for optimal growth of E. coli. We reveal at the transcriptome and metabolome level, that absence of these global regulators ensued a disruption of nitrogen homeostasis, overexpression of otherwise unnecessary or hedging genes and impairment in core bottleneck steps and amino acid metabolism. Notably, our findings emphasize their importance in optimizing the metabolic proteome resources essential for rapid exponential growth. Consequentially, the perturbations in the metabolic proteome as a result of deletion of global regulators unbalances the ribosomal proteome share imposing a high translation program, though at the expense of lowered efficiency. We illustrate that disruption of this inherent trade-off between metabolic and ribosomal proteomic investment eventually culminate to lowered growth rates. Despite no changes in gene expression related to glucose import, our findings elucidate that the accumulations of intracellular metabolites directly modulated by growth rate, negatively impacts the glucose uptake. Our results employing the proteome allocation theory and quantitative experimental measurements, suffices to explain the physiological consequences of altered translational and metabolic efficiency in the cell, driven by the loss of these global regulators.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
mSystems
394 papers in training set
Top 0.1%
33.8%
2
mBio
833 papers in training set
Top 3%
6.6%
3
iScience
1154 papers in training set
Top 2%
5.5%
4
Microbiology Spectrum
469 papers in training set
Top 2%
5.5%
50% of probability mass above
5
Journal of Bacteriology
212 papers in training set
Top 0.7%
5.4%
6
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 11%
4.8%
7
Journal of Biological Chemistry
690 papers in training set
Top 3%
4.0%
8
Scientific Reports
3612 papers in training set
Top 38%
2.7%
9
PLOS Genetics
862 papers in training set
Top 6%
1.9%
10
Biology Direct
11 papers in training set
Top 0.1%
1.7%
11
Nucleic Acids Research
1281 papers in training set
Top 10%
1.5%
12
npj Systems Biology and Applications
125 papers in training set
Top 1%
1.5%
13
Applied and Environmental Microbiology
339 papers in training set
Top 4%
1.1%
14
Frontiers in Microbiology
427 papers in training set
Top 7%
1.1%
15
Cell Reports
1498 papers in training set
Top 24%
1.1%
16
Science Advances
1243 papers in training set
Top 27%
1.0%
17
PLOS ONE
5266 papers in training set
Top 58%
1.0%
18
Microbial Cell Factories
27 papers in training set
Top 0.5%
1.0%
19
eLife
5828 papers in training set
Top 62%
1.0%
20
Metabolic Engineering
75 papers in training set
Top 0.6%
1.0%
21
PLOS Computational Biology
1863 papers in training set
Top 20%
0.8%
22
American Journal of Physiology-Regulatory, Integrative and Comparative Physiology
15 papers in training set
Top 0.3%
0.8%
23
The FEBS Journal
93 papers in training set
Top 2%
0.8%
24
Nature Communications
5641 papers in training set
Top 57%
0.8%
25
International Journal of Molecular Sciences
494 papers in training set
Top 18%
0.6%
26
mSphere
302 papers in training set
Top 8%
0.6%