Genomewide landscape of gene–metabolome associations in Escherichia coli

Metabolism is one of the best‐understood cellular processes whose network topology of enzymatic reactions is determined by an organism's genome. The influence of genes on metabolite levels, however, remains largely unknown, particularly for the many genes encoding non‐enzymatic proteins. Serendipitously, genomewide association studies explore the relationship between genetic variants and metabolite levels, but a comprehensive interaction network has remained elusive even for the simplest single‐celled organisms. Here, we systematically mapped the association between > 3,800 single‐gene deletions in the bacterium Escherichia coli and relative concentrations of > 7,000 intracellular metabolite ions. Beyond expected metabolic changes in the proximity to abolished enzyme activities, the association map reveals a largely unknown landscape of gene–metabolite interactions that are not represented in metabolic models. Therefore, the map provides a unique resource for assessing the genetic basis of metabolic changes and conversely hypothesizing metabolic consequences of genetic alterations. We illustrate this by predicting metabolism‐related functions of 72 so far not annotated genes and by identifying key genes mediating the cellular response to environmental perturbations.     

Response of fluxome and metabolome to temperature-induced recombinant protein synthesis in Escherichia coli

The response of the central carbon metabolism of Escherichia coli to temperature-induced recombinant production of human fibroblast growth factor was studied on the level of metabolic fluxes and intracellular metabolite levels. During production, E. coli TG1:plambdaFGFB, carrying a plasmid encoded gene for the recombinant product, revealed stress related characteristics such as decreased growth rate and biomass yield and enhanced by-product excretion (acetate, pyruvate, lactate). With the onset of production, the adenylate energy charge dropped from 0.85 to 0.60, indicating the occurrence of a severe energy limitation. This triggered an increase of the glycolytic flux which, however, was not sufficient to compensate for the increased ATP demand. The activation of the glycolytic flux was also indicated by the readjustment of glycolytic pool sizes leading to an increased driving force for the reaction catalyzed by phosphofructokinase. Moreover, fluxes through the TCA cycle, into the pentose phosphate pathway and into anabolic pathways decreased significantly. The strong increase of flux into overflow pathways, especially towards acetate was most likely caused by a flux redirection from pyruvate dehydrogenase to pyruvate oxidase. The glyoxylate shunt, not active during growth, was the dominating anaplerotic pathway during production. Together with pyruvate oxidase and acetyl CoA synthase this pathway could function as a metabolic by-pass to overcome the limitation in the junction between glycolysis and TCA cycle and partly recycle the acetate formed back into the metabolism.     

Assessing the effect of reactive oxygen species on Escherichia coli using a metabolome approach

A two-dimensional thin-layer chromatographic analysis of [14C]-labelled metabolites in Escherichia coli was employed to follow metabolic shifts in response to superoxide stress. Steady-state challenge with paraquat at concentrations inducing SoxRS-controlled genes resulted in several alterations in metabolite pools, including a striking increase in valine concentration. Elevated valine levels, together with increased glutathione and alkylperoxidase, are proposed to constitute an intracellular protection mechanism against reactive oxygen species. As shown by this example of metabolome analysis, novel cellular responses to environmental challenge can be revealed by following the total complement of metabolites in a cell.     

Detection of small genotypic changes in Escherichia coli by pyrolysis mass spectroscopy

Abstract Pyrolysis mass spectrometry (Py-MS0 has been used to discriminate between four very closely related strains of Escherichia coli ; a parent strain UB5021 and three derivatives each containing one of the antibiotic resistance plasmids, pBR322, pACYC184 or R388.     

Global metabolite analysis: the influence of extraction methodology on metabolome profiles of Escherichia coli

The global pool of all metabolites in a cell, or metabolome, is a reflection of all the metabolic functions of an organism under any particular growth condition. In the absence of in situ methods capable of universally measuring metabolite pools, intracellular metabolite measurements need to be performed in vitro after extraction. In the past, a variety of cell lysis methods were adopted for assays of individual metabolites or groups of intermediates in pathways. In this study, metabolites were extracted from Escherichia coli using six different commonly used procedures including acid or alkaline treatments, permeabilization by freezing with methanol, high-temperature extraction in the presence of ethanol or methanol, and by lysis with chloroform-methanol. Metabolites were extracted by the six methods from cells grown under identical conditions and labeled with [14C]glucose. The metabolomes were compared after 2-dimensional thin-layer chromatography of labeled compounds. For global analysis, extraction with cold (-40 degrees C) methanol showed the greatest promise, allowing simultaneous resolution of more than 95 metabolite spots. In contrast, 80 or less spots were obtained with other extraction methods. Extraction also influenced quantitative analysis of particular compounds. Metabolites such as adenosine exhibited up to 20-fold higher abundance after cold methanol extraction than after extraction with acid, alkali, or chloroform. The simplicity, rapidity, and universality of cold methanol extraction offer great promise if a single method of lysis is to be adopted in metabolome analysis.     

Yersinia high pathogenicity island genes modify the Escherichia coli primary metabolome independently of siderophore production

Bacterial siderophores may enhance pathogenicity by scavenging iron, but their expression has been proposed to exert a substantial metabolic cost. Here we describe a combined metabolomic-genetic approach to determine how mutations affecting the virulence-associated siderophore yersiniabactin affect the Escherichia coli primary metabolome. Contrary to expectations, we did not find yersiniabactin biosynthesis to correspond to consistent metabolomic shifts. Instead, we found that targeted deletion of ybtU or ybtA, dissimilar genes with similar roles in regulating yersiniabactin expression, were associated with a specific shift in arginine pathway metabolites during growth in minimal media. This interaction was associated with high arginine levels in the model uropathogen Escherichia coli UTI89 compared to its ybtU and ybtA mutants and the K12 strain MG1655, which lacks yersiniabactin-associated genes. Because arginine is not a direct yersiniabactin biosynthetic substrate, these findings show that virulence-associated secondary metabolite systems may shape bacterial primary metabolism independently of substrate consumption.     

Phenol-induced membrane changes in free and immobilized Escherichia coli

Summary Membranes of Escherichia coli cells grown in the presence of phenol were examined after isolation of the cytoplasmic and outer membrane fractions. Both membrane types showed reduced lipid-to-protein ratios compared to cells grown without phenol. Phenol-induced differences in the expression of individual proteins of the outer membrane, probably involved in the uptake of iron, were expressed in smaller quantities after phenol addition. Growth in the presence of phenol increased the respiratory activity of the cytoplasmic membrane, whereas the direct inhibition of O₂ consumption by phenol was not affected by the presence of this compound in the growth medium. E. coli cells grown entrapped in calcium alginate showed low lipid-to-protein ratios even without phenol in the growth medium. Immobilization of cells also markedly changed the protein pattern of the outer membrane. Offprint requests to: H.-J. Rehm     

Structural changes in 16S RNA from Escherichia coli upon unfolding by urea

The urea-induced unfolding of 16S RNA at low ionic strength has been studied by dynamic light scattering, uv spectroscopy, and some hydrodynamic methods. Three components could be resolved in the photon correlation spectra of scattered light, using the inverse Laplace transform SIPP program [G. R. Danovich and I. N. Serdyuk (1983) in Photon Correlation Techniques in Fluid Mechanics, vol. B38, E. O. Schulz-Dubois, Ed., Springer, Berlin/Heidelberg, New York, p. 315]. One component is assigned to the center-of-mass translation of the RNA, another one to a combination of translational and internal motion, and the last to diffusion of urea clusters. The hydrodynamic dimensions of RNA increase strongly upon transition from 4 to 6M urea. We conclude that up to 2M urea, 16S RNA is highly elongated, and coiled above 4M urea, with a great increase of the hydrodynamic dimensions of RNA being observed upon transition from 4 to 6M urea. A scheme for RNA unfolding is proposed. © 1993 John Wiley & Sons, Inc.     

Phospholipid changes in seqA and dam mutants of Escherichia coli

SeqA and Dam proteins were known to be responsible for regulating the initiation of replication and to affect the expression of many genes and metabolisms. We have examined here the fatty acids composition and phospholipids membrane in dam and/or seqA mutants. The dam mutant showed an accumulation of the acidic phospholipids cardiolipin, whereas, the seqA mutant showed a higher proportion of phosphatidylglycerol compared with the wild-type strain. The seqA dam double mutant showed an intermediate proportion of acidic phospholipids compared with the wild-type strain. Based on these observations, we discuss the role of Dam and SeqA proteins in the regulation of phospholipids synthesis.