Proteomic insights into adaptive responses of Saccharomyces cerevisiae to the repeated vacuum fermentation

The responses and adaptation mechanisms of the industrial Saccharomyces cerevisiae to vacuum fermentation were explored using proteomic approach. After qualitative and quantitative analyses, a total of 106 spots corresponding to 68 different proteins were identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. The differentially expressed proteins were involved in amino acid and carbohydrate metabolisms, various signal pathways (Ras/MAPK, Ras–cyclic adenosine monophosphate, and HOG pathway), and heat shock and oxidative responses. Among them, alternations in levels of 17 proteins associated with carbohydrate metabolisms, in particular, the upregulations of proteins involved in glycolysis, trehalose biosynthesis, and the pentose phosphate pathway, suggested vacuum-induced redistribution of the metabolic fluxes. The upregulation of 17 heat stress and oxidative response proteins indicated that multifactors contributed to oxidative stresses by affecting cell redox homeostasis. Taken together with upregulation in 14-3-3 proteins levels, 22 proteins were detected in multispots, respectively, indicating that vacuum might have promoted posttranslational modifications of some proteins in S. cerevisiae. Further investigation revealed that the elevations of the differentially expressed proteins were mainly derived from vacuum stress rather than the absence of oxygen. These findings provide new molecular mechanisms for understanding of adaptation and tolerance of yeast to vacuum fermentation. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Low Contents of Carbon and Nitrogen in Highly Abundant Proteins: Evidence of Selection for the Economy of Atomic Composition

Proteins that assimilate particular elements were found to avoid using amino acids containing the element, which indicates that the metabolic constraints of amino acids may influence the evolution of proteins. We suspected that low contents of carbon, nitrogen, and sulfur may also be selected for economy in highly abundant proteins that consume large amounts of the resources of cells. By analyzing recently available proteomic data in Escherichia coli, Saccharomyces cerevisiae, and Schizosaccharomyces pombe, we found that at least the carbon and nitrogen contents in amino acid side chains are negatively correlated with protein abundance. An amino acid with a high number of carbon atoms in its side chain generally requires relatively more energy for its synthesis. Thus, it may be selected against in highly abundant proteins either because of economy in building blocks or because of economy in energy. Previous studies showed that highly abundant proteins preferentially use cheap (in terms of energy) amino acids. We found that the carbon content is still negatively correlated with protein abundance after controlling for the energetic cost of the amino acids. However, the negative correlation between protein abundance and energetic cost disappeared after controlling for carbon content. Building blocks seem to be more restricted than energy. It seems that the amino acid sequences of highly abundant proteins have to compromise between optimization for their biological functions and reducing the consumption of limiting resources. By contrast, the amino acid sequences of weakly expressed proteins are more likely to be optimized for their biological functions. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Comprehensive proteome profiling of the Fe(III)‐reducing myxobacterium Anaeromyxobacter dehalogenans 2CP‐C during growth with fumarate and ferric citrate

Anaeromyxobacter dehalogenans is a microaerophilic member of the delta‐proteobacteria which is able to utilize a wide range of electron acceptors, including halogenated phenols, U(VI), Fe(III), nitrate, nitrite, oxygen and fumarate. To date, the knowledge regarding general metabolic activities of this ecologically relevant bacterium is limited. Here, we present a first systematic 2‐D reference map of the soluble A. dehalogenans proteome in order to provide a sound basis for further proteomic studies as well as to gain first global insights into the metabolic activities of this bacterium. Using a combination of 2‐DE and MALDI‐TOF‐MS, a total of 720 proteins spots were identified, representing 559 unique protein species. Using the proteome data, altogether 50 metabolic pathways were found to be expressed during growth with fumarate as primary electron acceptor. An analysis of the pathways revealed an extensive display of enzymes involved in the catabolism and anabolism of a variety of amino acids, including the unexpected fermentation of lysine to butyrate. Moreover, using the reference gel as basis, a semi‐quantitative analysis of protein expression changes of A. dehalogenans during growth with ferric citrate as electron acceptor was conducted. The adaptation to Fe(III) reducing conditions involved the expression changes of a total of 239 proteins. The results suggest that the adaptation to Fe(III) reductive conditions involves an increase in metabolic flux through the tricarboxylic acid cycle, which is fueled by an increased catabolism of amino acids.     

Using Genome-Wide Protein Sequence Data to Predict Amino Acid Conservation

For most proteins, multiple sequence alignments are a viable method to identify functionally and structurally important amino acids, but for most organisms, there is a subset of proteins that are unique or found in a few closely related organisms. For these proteins, it is not possible to produce sequence alignments that are useful in identifying functionally or structurally important amino acids. We have investigated the relationship between amino acid conservation and five factors (the amino acid’s identity, N-terminal neighbor, C-terminal neighbor, the local hydropathy of surrounding amino acids, and the local expected net charge of the surrounding amino acids based on the primary sequence) in Escherichia coli proteins. For four of the factors examined (all but the amino acid’s identity), there is a significant relationship with conservation for some of the standard 20 amino acids. Using the combination of all five factors, we show that it is possible to calculate a score based on the primary sequences of a subset of E. coli proteins that has statistically significant predictive value with respect to predicting conserved amino acids in other E. coli proteins and Saccharomyces cerevisiae proteins. As these five variables show significant relationships with conservation, we have termed them conservation factors. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Comparative metabolomic analysis on industrial continuous and batch ethanol fermentation processes by GC-TOF-MS

The intracellular metabolic profile characterization of Saccharomyces cerevisiae throughout industrial ethanol fermentation was investigated using gas chromatography coupled to time-of-flight mass spectrometry. A total of 143 and 128 intracellular metabolites in S. cerevisiae were detected and quantified in continuous and batch fermentations, respectively. The two fermentation processes were both clearly distinguished into three main phases by principal components analysis. Furthermore, the levels of some metabolites involved in central carbon metabolism varied significantly throughout both processes. Glycerol and phosphoric acid were principally responsible for discriminating seed, main and final phases of continuous fermentation, while lactic acid and glycerol contributed mostly to telling different phases of batch fermentation. In addition, the levels of some amino acids such as glycine varied significantly during both processes. These findings provide new insights into the metabolomic characteristics during industrial ethanol fermentation processes. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Do Amino Acid Biosynthetic Costs Constrain Protein Evolution in <Emphasis Type="Italic">Saccharomyces cerevisiae</Emphasis>?

Prokaryotic organisms preferentially utilize less energetically costly amino acids in highly expressed genes. Studies have shown that the proteome of Saccharomyces cerevisiae also exhibits this behavior, but only in broad terms. This study examines the question of metabolic efficiency as a proteome-shaping force at a finer scale, examining whether trends consistent with cost minimization as an evolutionary force are present independent of protein function and amino acid physicochemical property, and consistently with respect to amino acid biosynthetic costs. Inverse correlations between the average amino acid biosynthetic cost of the protein product and the levels of gene expression in S. cerevisiae are consistent with natural selection to minimize costs. There are, however, patterns of amino acid usage that raise questions about the strength (and possibly the universality) of this selective force in shaping S. cerevisiae’s proteome.     

Study of stationary phase metabolism via isotopomer analysis of amino acids from an isolated protein

Microbial production of many commercially important secondary metabolites occurs during stationary phase, and methods to measure metabolic flux during this growth phase would be valuable. Metabolic flux analysis is often based on isotopomer information from proteinogenic amino acids. As such, flux analysis primarily reflects the metabolism pertinent to the growth phase during which most proteins are synthesized. To investigate central metabolism and amino acids synthesis activity during stationary phase, addition of fully ¹³C‐labeled glucose followed by induction of green fluorescent protein (GFP) expression during stationary phase was used. Our results indicate that Escherichia coli was able to produce new proteins (i.e., GFP) in the stationary phase, and the amino acids in GFP were mostly from degraded proteins synthesized during the exponential growth phase. Among amino acid biosynthetic pathways, only those for serine, alanine, glutamate/glutamine, and aspartate/asparagine had significant activity during the stationary phase. © 2009 American Institute of Chemical Engineers Biotechnol. Prog., 2010     

Comparative proteomic and metabolomic analyses reveal mechanisms of improved cold stress tolerance in bermudagrass (Cynodon dactylon (L.) Pers.) by exogenous calcium

As an important second messenger, calcium is involved in plant cold stress response, including chilling (<20 °C) and freezing (<0 °C). In this study, exogenous application of calcium chloride (CaCl₂) improved both chilling and freezing stress tolerances, while ethylene glycol‐bis‐(β‐aminoethyl) ether‐N,N,N,N‐tetraacetic acid (EGTA) reversed CaCl₂ effects in bermudagrass (Cynodon dactylon (L.) Pers.). Physiological analyses showed that CaCl₂ treatment alleviated the reactive oxygen species (ROS) burst and cell damage triggered by chilling stress, via activating antioxidant enzymes, non‐enzymatic glutathione antioxidant pool, while EGTA treatment had the opposite effects. Additionally, comparative proteomic analysis identified 51 differentially expressed proteins that were enriched in redox, tricarboxylicacid cycle, glycolysis, photosynthesis, oxidative pentose phosphate pathway, and amino acid metabolisms. Consistently, 42 metabolites including amino acids, organic acids, sugars, and sugar alcohols were regulated by CaCl₂ treatment under control and cold stress conditions, further confirming the common modulation of CaCl₂ treatment in carbon metabolites and amino acid metabolism. Taken together, this study reported first evidence of the essential and protective roles of endogenous and exogenous calcium in bermudagrass response to cold stress, partially via activation of the antioxidants and modulation of several differentially expressed proteins and metabolic homeostasis in the process of cold acclimation.     

Comprehensive quantitative analysis of central carbon and amino‐acid metabolism in Saccharomyces cerevisiae under multiple conditions by targeted proteomics

Decades of biochemical research have identified most of the enzymes that catalyze metabolic reactions in the yeast Saccharomyces cerevisiae. The adaptation of metabolism to changing nutritional conditions, in contrast, is much less well understood. As an important stepping stone toward such understanding, we exploit the power of proteomics assays based on selected reaction monitoring (SRM) mass spectrometry to quantify abundance changes of the 228 proteins that constitute the central carbon and amino‐acid metabolic network in the yeast Saccharomyces cerevisiae, at five different metabolic steady states. Overall, 90% of the targeted proteins, including families of isoenzymes, were consistently detected and quantified in each sample, generating a proteomic data set that represents a nutritionally perturbed biological system at high reproducibility. The data set is near comprehensive because we detect 95–99% of all proteins that are required under a given condition. Interpreted through flux balance modeling, the data indicate that S. cerevisiae retains proteins not necessarily used in a particular environment. Further, the data suggest differential functionality for several metabolic isoenzymes.     

Alanine dehydrogenase and its applications – A review

Alanine dehydrogenase (AlaDH) (E.C.1.4.1.1) is a microbial enzyme that catalyzes a reversible conversion of L-alanine to pyruvate. Inter-conversion of alanine and pyruvate by AlaDH is central to metabolism in microorganisms. Its oxidative deamination reaction produces pyruvate which plays a pivotal role in the generation of energy through the tricarboxylic acid cycle for sporulation in the microorganisms. Its reductive amination reaction provides a route for the incorporation of ammonia and produces L-alanine which is required for synthesis of the peptidoglycan layer, proteins, and other amino acids. Also, AlaDH helps in redox balancing as its deamination/amination reaction is linked to the reduction/oxidation of NAD⁺/NADH in microorganisms. AlaDH from a few microorganisms can also reduce glyoxylate into glycine (aminoacetate) in a nonreversible reaction. Both its oxidative and reductive reactions exhibit remarkable applications in the pharmaceutical, environmental, and food industries. The literature addressing the characteristics and applications of AlaDH from a wide range of microorganisms is summarized in the current review.     

A metabolic study to decipher amino acid catabolism-directed biofuel synthesis in Acetoanaerobium sticklandii DSM 519

Acetoanaerobium sticklandii DSM 519 is a hyper-ammonia-producing anaerobe. It has the ability to produce organic solvents and acids from protein catabolism through Stickland reactions and specialized pathways. Nevertheless, its protein catabolism-directed biofuel production has not yet been understood. The present study aimed to decipher such growth-associated metabolic potential of this organism at different growth phases using metabolic profiling. A seed culture of this organism was grown separately in metabolic assay media supplemented with gelatin and or a mixture of amino acids. The extracellular metabolites produced by this organism were qualitatively analyzed by gas chromatography–mass spectrometry platform. The residual amino acids after protein degradation and amino acids assimilation were identified and quantitatively measured by high-performance liquid chromatography (HPLC). Organic solvents and acids produced by this organism were detected and the quantity of them determined with HPLC. Metabolic profiling data confirmed the presence of amino acid catabolic products including tyramine, cadaverine, methylamine, and putrescine in fermented broth. It also found products including short-chain fatty acids and organic solvents of the Stickland reactions. It reported that amino acids were more appropriate for its growth yield compared to gelatin. Results of quantitative analysis of amino acids indicated that many amino acids either from gelatin or amino acid mixture were catabolised at a log-growth phase. Glycine and proline were poorly consumed in all growth phases. This study revealed that apart from Stickland reactions, a specialized system was established in A. sticklandii for protein catabolism-directed biofuel production. Acetone–butanol–ethanol (ABE), acetic acid, and butyric acid were the most important biofuel components produced by this organism. The production of these components was achieved much more on gelatin than amino acids. Thus, A. sticklandii is suggested herein as a potential organism to produce butyric acid along with ABE from protein-based wastes (gelatin) in bio-energy sectors.

     

System level analysis of cacao seed ripening reveals a sequential interplay of primary and secondary metabolism leading to polyphenol accumulation and preparation of stress resistance

Theobroma cacao and its popular product, chocolate, are attracting attention due to potential health benefits including antioxidative effects by polyphenols, anti‐depressant effects by high serotonin levels, inhibition of platelet aggregation and prevention of obesity‐dependent insulin resistance. The development of cacao seeds during fruit ripening is the most crucial process for the accumulation of these compounds. In this study, we analyzed the primary and the secondary metabolome as well as the proteome during Theobroma cacao cv. Forastero seed development by applying an integrative extraction protocol. The combination of multivariate statistics and mathematical modelling revealed a complex consecutive coordination of primary and secondary metabolism and corresponding pathways. Tricarboxylic acid (TCA) cycle and aromatic amino acid metabolism dominated during the early developmental stages (stages 1 and 2; cell division and expansion phase). This was accompanied with a significant shift of proteins from phenylpropanoid metabolism to flavonoid biosynthesis. At stage 3 (reserve accumulation phase), metabolism of sucrose switched from hydrolysis into raffinose synthesis. Lipids as well as proteins involved in lipid metabolism increased whereas amino acids and N‐phenylpropenoyl amino acids decreased. Purine alkaloids, polyphenols, and raffinose as well as proteins involved in abiotic and biotic stress accumulated at stage 4 (maturation phase) endowing cacao seeds the characteristic astringent taste and resistance to stress. In summary, metabolic key points of cacao seed development comprise the sequential coordination of primary metabolites, phenylpropanoid, N‐phenylpropenoyl amino acid, serotonin, lipid and polyphenol metabolism thereby covering the major compound classes involved in cacao aroma and health benefits.     

Modified carbon flux during oxygen limited growth of Corynebacterium glutamicum and the consequences for amino acid overproduction

Summary The amino acid producing bacterium Corynebacterium glutamicum accumulated lactate, succinate and acetate under oxygen-limited growth conditions. Significant restructuring of carbon flux through the central metabolic pathways occurred with a notable decrease in pentose pathway flux and the operation of the TCA cycle in a reductive mode. Simultaneous consumption of residual sugar and organic acids took place when oxygen sufficient conditions were restored though amino acids yields were significantly perturbed.     

Evolutionarily Conserved Optimization of Amino Acid Biosynthesis

The “cognate bias hypothesis” states that early in evolutionary history the biosynthetic enzymes for amino acid x gradually lost residues of x, thereby reducing the threshold for deleterious effects of x scarcity. The resulting reduction in cognate amino acid composition of the enzymes comprising a particular amino acid biosynthetic pathway is predicted to confer a selective growth advantage on cells. Bioinformatic evidence from protein-sequence data of two bacterial species previously demonstrated reduced cognate bias in amino acid biosynthetic pathways. Here we show that cognate bias in amino acid biosynthesis is present in the other domains of life—Archaebacteria and Eukaryota. We also observe evolutionarily conserved underrepresentations (e.g., glycine in methionine biosynthesis) and overrepresentations (e.g., tryptophan in asparagine biosynthesis) of amino acids in noncognate biosynthetic pathways, which can be explained by secondary amino acid metabolism. Additionally, we experimentally validate the cognate bias hypothesis using the yeast Saccharomyces cerevisiae. Specifically, we show that the degree to which growth declines following amino acid deprivation is negatively correlated with the degree to which an amino acid is underrepresented in the enzymes that comprise its cognate biosynthetic pathway. Moreover, we demonstrate that cognate fold representation is more predictive of growth advantage than a host of other potential growth-limiting factors, including an amino acid’s metabolic cost or its intracellular concentration and compartmental distribution. Electronic supplementary material The online version of this article (doi: ) contains supplementary material, which is available to authorized users. Reviewing Editor: Dr. Niles Lehman Ethan O. Perlstein and Benjamin L. de Bivort contributed equally to this work.     

Gaining insight into the response logic of Saccharomyces cerevisiae to heat shock by combining expression profiles with metabolic pathways

Extensive alteration of gene expression and metabolic remodeling enable the budding yeast Saccharomyces cerevisiae to ensure cellular homeostasis and adaptation to heat shock. The response logic of the cells to heat shock is still not entirely clear. In this study, we combined the expression profiles with metabolic pathways to investigate the logical relations between heat shock response metabolic pathways. The results showed that the heat-stressed S. cerevisiae cell accumulated trehalose and glycogen, which protect cellular proteins against denaturation, and modulate its phospholipid structure to sustain stability of the cell wall. The TCA cycle was enhanced, and the heat shock-induced turnover of amino acids and nucleotides served to meet the extra energy requirement due to heat-induced protein metabolism and modification. The enhanced respiration led to oxidative stress, and subsequently induced the aldehyde detoxification system. These results indicated that new insight into the response logic of S. cerevisiae to heat shock can be gained by integrating expression profiles and the logical relations between heat shock response metabolic pathways.     

Metabolome remodeling during the acidogenic-solventogenic transition in Clostridium acetobutylicum

The fermentation carried out by the biofuel producer Clostridium acetobutylicum is characterized by two distinct phases. Acidogenesis occurs during exponential growth and involves the rapid production of acids (acetate and butyrate). Solventogenesis initiates as cell growth slows down and involves the production of solvents (butanol, acetone, and ethanol). Using metabolomics, isotope tracers, and quantitative flux modeling, we have mapped the metabolic changes associated with the acidogenic-solventogenic transition. We observed a remarkably ordered series of metabolite concentration changes, involving almost all of the 114 measured metabolites, as the fermentation progresses from acidogenesis to solventogenesis. The intracellular levels of highly abundant amino acids and upper glycolytic intermediates decrease sharply during this transition. NAD(P)H and nucleotide triphosphates levels also decrease during solventogenesis, while low-energy nucleotides accumulate. These changes in metabolite concentrations are accompanied by large changes in intracellular metabolic fluxes. During solventogenesis, carbon flux into amino acids, as well as flux from pyruvate (the last metabolite in glycolysis) into oxaloacetate, decreases by more than 10-fold. This redirects carbon into acetyl coenzyme A, which cascades into solventogenesis. In addition, the electron-consuming reductive tricarboxylic acid (TCA) cycle is shutdown, while the electron-producing oxidative (clockwise) right side of the TCA cycle remains active. Thus, the solventogenic transition involves global remodeling of metabolism to redirect resources (carbon and reducing power) from biomass production into solvent production.     

Pseudomonas putida KT2440 metabolism undergoes sequential modifications during exponential growth in a complete medium as compounds are gradually consumed

Pseudomonas putida is a soil bacterium with a versatile and robust metabolism. When confronted with mixtures of carbon sources, it prioritizes the utilization of the preferred compounds, optimizing metabolism and growth. This response is particularly strong when growing in a complex medium such as LB. This work examines the changes occurring in P. putida KT2440 metabolic fluxes, while it grows exponentially in LB medium and sequentially consumes the compounds available. Integrating the uptake rates for each compound at three different moments during the exponential growth with the changes observed in the proteome, and with the metabolic fluxes predicted by the iJN1411 metabolic model for this strain, allowed the metabolic rearrangements that occurred to be determined. The results indicate that the bacterium changes significantly the configuration of its metabolism during the early, mid and late exponential phases of growth. Sugars served as an energy source during the early phase and later as energy and carbon source. The configuration of the tricarboxylic acids cycle varied during growth, providing no energy in the early phase, and turning to a reductive mode in the mid phase and to an oxidative mode later on. This work highlights the dynamism and flexibility of P. putida metabolism.