bioRxivSystems BiologyPreprint
Global transcriptional regulators fine-tune the translational and metabolic machinery in Escherichia coli under anaerobic fermentation
Mahesh S. IyeriD, Ankita PaliD, Sumana SrinivasaniD, Pramod Rajaram SomvanshiiD, Kareenhalli Viswanath VenkateshiD
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.
- organism: E. coli
- assay: metabolomics
- assay: proteomics
- research focus: differential expression
- approach: statistical model
- Citations
- 2
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