Multiomics Study of Bacterial Growth Arrest in a Synthetic Biology Application.

We investigated the scalability of a previously developed growth switch based on external control of RNA polymerase expression. Our results indicate that, in liter-scale bioreactors operating in fed-batch mode, growth-arrested Escherichia coli cells are able to convert glucose to glycerol at an increased yield. A multiomics quantification of the physiology of the cells shows that, apart from acetate production, few metabolic side effects occur. However, a number of specific responses to growth slow-down and growth arrest are launched at the transcriptional level. These notably include the downregulation of genes involved in growth-associated processes, such as amino acid and nucleotide metabolism and translation. Interestingly, the transcriptional responses are buffered at the proteome level, probably due to the strong decrease of the total mRNA concentration after the diminution of transcriptional activity and the absence of growth dilution of proteins. Growth arrest thus reduces the opportunities for dynamically adjusting the proteome composition, which poses constraints on the design of biotechnological production processes but may also avoid the initiation of deleterious stress responses.

A Quantitative System-Scale Characterization of the Metabolism of Clostridium acetobutylicum.

UNLABELLED: Engineering industrial microorganisms for ambitious applications, for example, the production of second-generation biofuels such as butanol, is impeded by a lack of knowledge of primary metabolism and its regulation. A quantitative system-scale analysis was applied to the biofuel-producing bacterium Clostridium acetobutylicum, a microorganism used for the industrial production of solvent. An improved genome-scale model, iCac967, was first developed based on thorough biochemical characterizations of 15 key metabolic enzymes and on extensive literature analysis to acquire accurate fluxomic data. In parallel, quantitative transcriptomic and proteomic analyses were performed to assess the number of mRNA molecules per cell for all genes under acidogenic, solventogenic, and alcohologenic steady-state conditions as well as the number of cytosolic protein molecules per cell for approximately 700 genes under at least one of the three steady-state conditions. A complete fluxomic, transcriptomic, and proteomic analysis applied to different metabolic states allowed us to better understand the regulation of primary metabolism. Moreover, this analysis enabled the functional characterization of numerous enzymes involved in primary metabolism, including (i) the enzymes involved in the two different butanol pathways and their cofactor specificities, (ii) the primary hydrogenase and its redox partner, (iii) the major butyryl coenzyme A (butyryl-CoA) dehydrogenase, and (iv) the major glyceraldehyde-3-phosphate dehydrogenase. This study provides important information for further metabolic engineering of C. acetobutylicum to develop a commercial process for the production of n-butanol. IMPORTANCE: Currently, there is a resurgence of interest in Clostridium acetobutylicum, the biocatalyst of the historical Weizmann process, to produce n-butanol for use both as a bulk chemical and as a renewable alternative transportation fuel. To develop a commercial process for the production of n-butanol via a metabolic engineering approach, it is necessary to better characterize both the primary metabolism of C. acetobutylicum and its regulation. Here, we apply a quantitative system-scale analysis to acidogenic, solventogenic, and alcohologenic steady-state C. acetobutylicum cells and report for the first time quantitative transcriptomic, proteomic, and fluxomic data. This approach allows for a better understanding of the regulation of primary metabolism and for the functional characterization of numerous enzymes involved in primary metabolism.

Mass spectrometry-based workflow for accurate quantification of Escherichia coli enzymes: how proteomics can play a key role in metabolic engineering.

Metabolic engineering aims to design high performance microbial strains producing compounds of interest. This requires systems-level understanding; genome-scale models have therefore been developed to predict metabolic fluxes. However, multi-omics data including genomics, transcriptomics, fluxomics, and proteomics may be required to model the metabolism of potential cell factories. Recent technological advances to quantitative proteomics have made mass spectrometry-based quantitative assays an interesting alternative to more traditional immuno-affinity based approaches. This has improved specificity and multiplexing capabilities. In this study, we developed a quantification workflow to analyze enzymes involved in central metabolism in Escherichia coli (E. coli). This workflow combined full-length isotopically labeled standards with selected reaction monitoring analysis. First, full-length (15)N labeled standards were produced and calibrated to ensure accurate measurements. Liquid chromatography conditions were then optimized for reproducibility and multiplexing capabilities over a single 30-min liquid chromatography-MS analysis. This workflow was used to accurately quantify 22 enzymes involved in E. coli central metabolism in a wild-type reference strain and two derived strains, optimized for higher NADPH production. In combination with measurements of metabolic fluxes, proteomics data can be used to assess different levels of regulation, in particular enzyme abundance and catalytic rate. This provides information that can be used to design specific strains used in biotechnology. In addition, accurate measurement of absolute enzyme concentrations is key to the development of predictive kinetic models in the context of metabolic engineering.

Stress-induced evolution of Escherichia coli points to original concepts in respiratory cofactor selectivity.

Bacterial metabolism is characterized by a remarkable capacity to rapidly adapt to environmental changes. We restructured the central metabolic network in Escherichia coli to force a higher production of NADPH, and then grew this strain in conditions favoring adaptive evolution. A six-fold increase in growth capacity was attained that could be attributed in multiple clones, after whole genome mutation mapping, to a specific single mutation. Each clone had an evolved NuoF*(E183A) enzyme in the respiratory complex I that can now oxidize both NADH and NADPH. When a further strain was constructed with an even higher degree of NADPH stress such that growth was impossible on glucose mineral medium, a solid-state screening for mutations restoring growth, led to two different types of NuoF mutations in strains having recovered growth capacity. In addition to the previously seen E183A mutation other clones showed a E183G mutation, both having NADH and NADPH oxidizing ability. These results demonstrate the unique solution used by E. coli to overcome the NADPH stress problem. This solution creates a new function for NADPH that is no longer restricted to anabolic synthesis reactions but can now be also used to directly produce catabolic energy.

Impact of sewage sludges on Medicago truncatula symbiotic proteome.

The effects of sewage sludges were investigated on the symbiotic interactions between the model plant Medicago truncatula and the arbuscular mycorrhizal fungus Glomus mosseae or the rhizobial bacteria Sinorhizobium meliloti. By comparison to a control sludge showing positive effects on plant growth and root symbioses, sludges enriched with polycylic aromatic hydrocarbons or heavy metals were deleterious. Symbiosis-related proteins were detected and identified by two-dimensional electrophoresis and matrix-assisted laser desorption ionization mass spectrometry, and image analysis was used to study the effects of sewage sludges on M. truncatula symbiotic proteome.

A technical trick for studying proteomics in parallel to transcriptomics in symbiotic root-fungus interactions.

We have developed a protocol in which proteins and mRNA can be analyzed from single root samples. This experimental design was validated in arbuscular mycorrhiza by comparing the proteins profiles obtained with those from a classical protein extraction process. It is a step forward to make simultaneous proteome and transcriptiome profiling possible.

Proteomics as a way to identify extra-radicular fungal proteins from Glomus intraradices- RiT-DNA carrot root mycorrhizas.

To identify fungal proteins involved in the arbuscular mycorrhizal symbiosis, root-inducing transferred-DNA transformed roots of carrot (Daucus carota L.) were in vitro inoculated with Glomus intraradices. Proteins extracted from the extra-radical fungus were analysed by two-dimensional gel electrophoresis. A fungal reference map displaying 438 spots was set up. Four proteins, among the 14 selected for tandem mass spectrometry analysis, were identified including a NmrA-like protein, an oxido-reductase, a heat-shock protein and an ATP synthase beta mitochondrial precursor. The possible fungal origin of a MYK15-like protein found in mycorrhizal roots was further discussed. This is the first report of arbuscular mycorrhizal fungal protein identifications by using a proteomic approach.

Targeted proteomics to identify cadmium-induced protein modifications in Glomus mosseae-inoculated pea roots.

• Arbuscular mycorrhiza (AM) can increase plant tolerance to heavy metals. A targeted proteomic approach was used to determine the putative identity of some of the proteins induced/modulated by cadmium (Cd) and to analyse the impact of the mycorrhizal process. • The effect of Cd (100 mg Cd kg-1  substrate) applied either at planting or 15 d later on two pea (Pisum sativum) genotypes, differing in sensitivity to Cd inoculated or not with the AM fungus Glomus mosseae, was studied at three levels: plant biomass production, development of G. mosseae and root differential protein display with one- and two-dimensional gel electrophoresis (1-DE and 2-DE) analyses. • Cd-induced growth inhibition was significantly alleviated by mycorrhiza in the Cd-sensitive genotype. The AM symbiosis modulated the expression of several proteins, identified by liquid chromatography-tandem mass spectrometry, newly induced and upregulated or downregulated by Cd. • The protective effect of AM symbiosis towards Cd stress was observed in the Cd-sensitive genotype. Our results demonstrate the usefulness of proteomics to better understand the possible role of AM symbiosis in detoxification/response mechanisms towards Cd in pea plants.

Proteome analysis and identification of symbiosis-related proteins from Medicago truncatula Gaertn. by two-dimensional electrophoresis and mass spectrometry.

Time-course analysis of root protein profiles was studied by two-dimensional gel electrophoresis and silver staining in the model plant Medicago truncatula, inoculated either with the arbuscular mycorrhizal fungus Glomus mosseae or with the nitrogen fixing bacterium Sinorhizobium meliloti. Protein modifications in relation to the development of both symbioses included down- and upregulations, as well as newly induced polypeptides. Matrix assisted laser desorption/ionization-time of flight-mass spectrometry after trypsin digestion clearly identified one polypeptide induced in nodulated roots as a M. truncatula leghemoglobin. Internal sequencing with a quadrupole time-of-flight mass spectrometer and database searches confirmed the induction of proteins previously described in root symbioses, and revealed the implication of other proteins. In nodulated roots, one polypeptide was identified as an elongation factor Tu from S. meliloti, while another one could not be assigned a function. In mycorrhizal roots, analyzed proteins also included a protein of unknown function, as well as a glutathione-S-transferase, a fucosidase, a myosin-like protein, a serine hydroxymethyltransferase and a cytochrome-c-oxidase. These results emphasize the usefulness of proteome analysis in identifying molecular events occurring in plant root symbioses.