Rate-independent hysteretic energy dissipation in collagen fibrils.

Nanoindentation cycles measured with an atomic force microscope on hydrated collagen fibrils exhibit a rate-independent hysteresis with return point memory. This previously unknown energy dissipation mechanism describes in unified form elastoplastic indentation, capillary adhesion, and surface leveling at indentation velocities smaller than 1 µm s-1, where viscous friction is negligible. A generic hysteresis model, based on force-distance data measured during one large approach-retract cycle, predicts the force (output) and the dissipated energy for arbitrary indentation trajectories (input). While both quantities are rate independent, they do depend nonlinearly on indentation history and on indentation amplitude.

A Nonlinear Delay Model for Metabolic Oscillations in Yeast Cells.

We introduce two time-delay models of metabolic oscillations in yeast cells. Our model tests a hypothesis that the oscillations occur as multiple pathways share a limited resource which we equate to the number of available ribosomes. We initially explore a single-protein model with a constraint equation governing the total resource available to the cell. The model is then extended to include three proteins that share a resource pool. Three approaches are considered at constant delay to numerically detect oscillations. First, we use a spectral element method to approximate the system as a discrete map and evaluate the stability of the linearized system about its equilibria by examining its eigenvalues. For the second method, we plot amplitudes of the simulation trajectories in 2D projections of the parameter space. We use a history function that is consistent with published experimental results to obtain metabolic oscillations. Finally, the spectral element method is used to convert the system to a boundary value problem whose solutions correspond to approximate periodic solutions of the system. Our results show that certain combinations of total resource available and the time delay, lead to oscillations. We observe that an oscillation region in the parameter space is between regions admitting steady states that correspond to zero and constant production. Similar behavior is found with the three-protein model where all proteins require the same production time. However, a shift in the protein production rates peaks occurs for low available resource suggesting that our model captures the shared resource pool dynamics.

Surviving Serum: the Escherichia coli iss Gene of Extraintestinal Pathogenic E. coli Is Required for the Synthesis of Group 4 Capsule.

Extraintestinal pathogenic Escherichia coli (ExPEC) strains constitute a serious and emerging clinical problem, as they cause a variety of infections and are usually highly antibiotic resistant. Many ExPEC strains are capable of evading the bactericidal effects of serum and causing sepsis. One critical factor for the development of septicemia is the increased serum survival (iss) gene, which is highly correlated with complement resistance and lethality. Although it is very important, the function of the iss gene has not been elucidated so far. We have been studying the serum survival of a septicemic strain of E. coli serotype O78, which has a group 4 capsule. Here, we show that the iss gene is required for the synthesis of capsules, which protect the bacteria from the bactericidal effect of complement. Moreover, we show that the deletion of the iss gene results in significantly increased binding of the complement proteins that constitute the membrane attack complex to the bacterial surface.

Investigating Lactococcus lactis MG1363 Response to Phage p2 Infection at the Proteome Level.

Phages are viruses that specifically infect and eventually kill their bacterial hosts. Bacterial fermentation and biotechnology industries see them as enemies, however, they are also investigated as antibacterial agents for the treatment or prevention of bacterial infections in various sectors. They also play key ecological roles in all ecosystems. Despite decades of research some aspects of phage biology are still poorly understood. In this study, we used label-free quantitative proteomics to reveal the proteotypes of Lactococcus lactis MG1363 during infection by the virulent phage p2, a model for studying the biology of phages infecting Gram-positive bacteria. Our approach resulted in the high-confidence detection and quantification of 59% of the theoretical bacterial proteome, including 226 bacterial proteins detected only during phage infection and 6 proteins unique to uninfected bacteria. We also identified many bacterial proteins of differing abundance during the infection. Using this high-throughput proteomic datasets, we selected specific bacterial genes for inactivation using CRISPR-Cas9 to investigate their involvement in phage replication. One knockout mutant lacking gene llmg_0219 showed resistance to phage p2 because of a deficiency in phage adsorption. Furthermore, we detected and quantified 78% of the theoretical phage proteome and identified many proteins of phage p2 that had not been previously detected. Among others, we uncovered a conserved small phage protein (pORFN1) coded by an unannotated gene. We also applied a targeted approach to achieve greater sensitivity and identify undetected phage proteins that were expected to be present. This allowed us to follow the fate of pORF46, a small phage protein of low abundance. In summary, this work offers a unique view of the virulent phages' takeover of bacterial cells and provides novel information on phage-host interactions.

Comprehensive Spectral Library from the Pathogenic Bacterium Streptococcus pneumoniae with Focus on Phosphoproteins.

To understand bacterial reactions to environmental stress or infection-related processes, it is necessary to identify the involved proteins. In mass spectrometry-based proteomics, the method of choice for spectra-to-peptide-match is database search, but in recent times, spectral libraries have come into focus. Here, we built a mass spectral library from Streptococcus pneumoniae D39, reflecting 76% of the theoretical proteome of the organism. Besides the proteins themselves, posttranslational protein modifications especially reveal central hubs of regulation in bacterial pathogenesis. Here, for example, phosphorylation events are involved in the signal transduction and regulation of virulence. Although there have been major advances in phosphoproteomics, identification of this modification is still challenging. To enhance the number of phosphorylated peptides, which can be reproducibly detected, a comprehensive mass spectral library of the S. pneumoniae D39 phosphoproteome has been compiled in addition to the comprehensive total proteome mass spectral library. The phosphopeptide library was manually validated, and the data quality was additionally proven by analyses of synthetic phosphorylated peptides. In total, 128 phosphorylated proteins were revealed, of which many are involved in glycolysis, purine metabolism, protein biosynthesis, and virulence. The publicly available, thoroughly validated spectral libraries are an excellent resource to improve and speed up future investigations on the proteome and phosphoproteome of pneumococci.

Tryptic Shaving of Staphylococcus aureus Unveils Immunodominant Epitopes on the Bacterial Cell Surface.

The opportunistic pathogen Staphylococcus aureus has become a major threat for human health and well-being by developing resistance to antibiotics and by fast evolution into new lineages that rapidly spread within the healthy human population. This calls for development of active or passive immunization strategies to prevent or treat acute phase infections. Since no such anti-staphylococcal immunization approaches are available for clinical implementation, the present studies were aimed at identifying new leads for their development. For this purpose, we profiled the cell-surface-exposed staphylococcal proteome under infection-mimicking conditions by combining two approaches for "bacterial shaving" with immobilized or soluble trypsin and subsequent mass spectrometry analysis of liberated peptides. In parallel, non-covalently cell-wall-bound proteins extracted with potassium thiocyanate and the exoproteome fraction were analyzed by gel-free proteomics. All data are available through ProteomeXchange accession PXD000156. To pinpoint immunodominant bacterial-surface-exposed epitopes, we screened selected cell-wall-attached proteins of S. aureus for binding of immunoglobulin G from patients who have been challenged by different types of S. aureus due to chronic wound colonization. The combined results of these analyses highlight particular cell-surface-exposed S. aureus proteins with highly immunogenic exposed epitopes as potential targets for development of protective anti-staphylococcal immunization strategies.

Comprehensive Redox Profiling of the Thiol Proteome of Clostridium difficile.

The strictly anaerobic bacterium C. difficile has become one of the most problematic hospital acquired pathogens and a major burden for health care systems. Although antibiotics work effectively in most C. difficile infections (CDIs), their detrimental effect on the intestinal microbiome paves the way for recurrent episodes of CDI. To develop alternative, non-antibiotics-based treatment strategies, deeper knowledge on the physiology of C. difficile, stress adaptation mechanisms and regulation of virulence factors is mandatory. The focus of this work was to tackle the thiol proteome of C. difficile and its stress-induced alterations, because recent research has reported that the amino acid cysteine plays a central role in the metabolism of this pathogen. We have developed a novel cysteine labeling approach to determine the redox state of protein thiols on a global scale. Applicability of this technique was demonstrated by inducing disulfide stress using the chemical diamide. The method can be transferred to any kind of redox challenge and was applied in this work to assess the effect of bile acids on the thiol proteome of C. difficile We present redox-quantification for more than 1,500 thiol peptides and discuss the general difficulty of redox analyses of peptides possessing more than a single cysteine residue. The presented method will be especially useful not only when determining redox status, but also for providing information on protein quantity. Additionally, our comprehensive data set reveals protein cysteine sites particularly susceptible to oxidation and builds a groundwork for redox proteomics studies in C. difficile.

Spectral Library Based Analysis of Arginine Phosphorylations in Staphylococcus aureus.

Reversible protein phosphorylation is one of the major mechanisms in the regulation of protein expression and protein activity, controlling physiological functions of the important human pathogen Staphylococcus aureus Phosphorylations at serine, threonine and tyrosine are known to influence for example protein activity in central metabolic pathways and the more energy-rich phosphorylations at histidine, aspartate or cysteine can be found as part of two component system sensor domains or mediating bacterial virulence. In addition to these well-known phosphorylations, the phosphorylation at arginine residues plays an essential role. Hence, the deletion mutant S. aureus COL ΔptpB (protein tyrosine phosphatase B) was studied because the protein PtpB is assumed to be an arginine phosphatase. A gel-free approach was applied to analyze the changes in the phosphoproteome of the deletion mutant ΔptpB and the wild type in growing cells, thereby focusing on the occurrence of phosphorylation on arginine residues. In order to enhance the reliability of identified phosphorylation sites at arginine residues, a subset of arginine phosphorylated peptides was chemically synthesized. Combined spectral libraries based on phosphoenriched samples, synthetic arginine phosphorylated peptides and classical proteome samples provide a sophisticated tool for the analysis of arginine phosphorylations. This way, 212 proteins phosphorylated on serine, threonine, tyrosine or arginine residues were identified within the mutant ΔptpB and 102 in wild type samples. Among them, 207 arginine phosphosites were identified exclusively within the mutant ΔptpB, widely distributed along the whole bacterial metabolism. This identification of putative targets of PtpB allows further investigation of the physiological relevance of arginine phosphorylations and provides the basis for reliable quantification of arginine phosphorylations in bacteria.

Time delay effects in the control of synchronous electricity grids.

The expansion of inverter-connected generation facilities (i.e., wind and photovoltaics) and the removal of conventional power plants is necessary to mitigate the impacts of climate change, whereas conventional generation with large rotating generator masses provides stabilizing inertia, inverter-connected generation does not. Since the underlying power system and the control mechanisms that keep it close to a desired reference state were not designed for such a low inertia system, this might make the system vulnerable to disturbances. In this paper, we will investigate whether the currently used control mechanisms are able to keep a low inertia system stable and how this is affected by the time delay between a frequency deviation and the onset of the control action. We integrate the control mechanisms used in Continental Europe into a model of coupled oscillators which resembles the second order Kuramoto model. This model is then used to investigate how the interplay of changing inertia, network topology, and delayed control affects the stability of the interconnected power system. To identify regions in the parameter space that make stable grid operation possible, the linearized system is analyzed to create the system's stability chart. We show that lower and distributed inertia could have a beneficial effect on the stability of the desired synchronous state.

Toward the Quantitative Characterization of Arginine Phosphorylations in Staphylococcus aureus.

The Gram-positive bacterium Staphylococcus aureus plays an important role as an opportunistic pathogen and causative agent of nosocomial infections. As pathophysiological research gained insights into host-specific adaptation and a broad range of virulence mechanisms, S. aureus evolved as a model organism for human pathogens. Hence the investigation of staphylococcal proteome expression and regulation supports the understanding of the pathogenicity and relevant physiology of this organism. This study focused on the analysis of protein regulation by reversible protein phosphorylation, in particular, on arginine residues. Therefore, both proteome and phosphoproteome of S. aureus COL wild type were compared with the arginine phosphatase deletion mutant S. aureus COL ΔptpB under control and stress conditions in a quantitative manner. A gel-free approach, adapted to the special challenges of arginine phosphorylations, was applied to analyze the phosphoproteome of exponential growing cells after oxidative stress caused by sublethal concentrations of H2O2. Together with phenotypic characterization of S. aureus COL ΔptpB, this study disclosed first insights into the physiological role of arginine phosphorylations in Gram-positive pathogens. A spectral library based quantification of phosphopeptides finally allowed us to link arginine phosphorylation to staphylococcal oxidative stress response, amino acid metabolism, and virulence.

Exoproteome Heterogeneity among Closely Related Staphylococcus aureus t437 Isolates and Possible Implications for Virulence.

Staphylococcus aureus with spa-type t437 has been identified as a predominant community-associated methicillin-resistant S. aureus clone from Asia, which is also encountered in Europe. Molecular typing has previously shown that t437 isolates are highly similar regardless of geographical regions or host environments. The present study was aimed at assessing to what extent this high similarity is actually reflected in the production of secreted virulence factors. We therefore profiled the extracellular proteome, representing the main reservoir of virulence factors, of 20 representative clinical isolates by mass spectrometry. The results show that these isolates can be divided into three groups and nine subgroups based on exoproteome abundance signatures. This implies that S. aureus t437 isolates show substantial exoproteome heterogeneity. Nonetheless, 30 highly conserved extracellular proteins, of which about 50% have a predicted role in pathogenesis, were dominantly identified. To approximate the virulence of the 20 investigated isolates, we employed infection models based on Galleria mellonella and HeLa cells. The results show that the grouping of clinical isolates based on their exoproteome profile can be related to virulence. We consider this outcome important as our approach provides a tool to pinpoint differences in virulence among seemingly highly similar clinical isolates of S. aureus.

Ariadne's Thread in the Analytical Labyrinth of Membrane Proteins: Integration of Targeted and Shotgun Proteomics for Global Absolute Quantification of Membrane Proteins.

The field of systems biology has been rapidly developing in the past decade. However, the data produced by "omics" approaches is lagging behind the requirements of this field, especially when it comes to absolute abundances of membrane proteins. In the present study, a novel approach for large-scale absolute quantification of this challenging subset of proteins has been established and evaluated using osmotic stress management in the Gram-positive model bacterium Bacillus subtilis as proof-of-principle precedent. Selected membrane proteins were labeled using a SNAP-tag, which allowed us to visually inspect the enrichment of the membrane fraction by immunoassays. Absolute membrane protein concentrations were determined via shotgun proteomics by spiking crude membrane extracts of chromosomally SNAP-tagged and wild-type B. subtilis strains with protein standards of known concentration. Shotgun data was subsequently calibrated by targeted mass spectrometry using SNAP as an anchor protein, and an enrichment factor was calculated in order to obtain membrane protein copy numbers per square micrometer. The presented approach enabled the accurate determination of physiological changes resulting from imposed hyperosmotic stress, thereby offering a clear visualization of alterations in membrane protein arrangements and shedding light on putative membrane complexes. This straightforward and cost-effective methodology for quantitative proteome studies can be implemented by any research group with mass spectrometry expertise. Importantly, it can be applied to the full spectrum of physiologically relevant conditions, ranging from environmental stresses to the biotechnological production of small molecules and proteins, a field heavily relying on B. subtilis secretion capabilities.

Laminar Chaos in Experiments: Nonlinear Systems with Time-Varying Delays and Noise.

A new type of dynamics called laminar chaos was recently discovered through a theoretical analysis of a scalar delay differential equation with time-varying delay. Laminar chaos is a low-dimensional dynamics characterized by laminar phases of nearly constant intensity with periodic durations and a chaotic variation of the intensity from one laminar phase to the next laminar phase. This is in stark contrast to the typically observed higher-dimensional turbulent chaos, which is characterized by strong fluctuations. In this Letter we provide the first experimental observation of laminar chaos by studying an optoelectronic feedback loop with time-varying delay. The noise inherent in the experiment requires the development of a nonlinear Langevin equation with variable delay. The results show that laminar chaos can be observed in higher-order systems, and that the phenomenon is robust to noise and a digital implementation of the variable time delay.

Comparative Proteomics of Purified Pathogen Vacuoles Correlates Intracellular Replication of Legionella pneumophila with the Small GTPase Ras-related protein 1 (Rap1).

Legionella pneumophila is an opportunistic bacterial pathogen that causes a severe lung infection termed "Legionnaires' disease." The pathogen replicates in environmental protozoa as well as in macrophages within a unique membrane-bound compartment, the Legionella-containing-vacuole (LCV). LCV formation requires the bacterial Icm/Dot type IV secretion system, which translocates ca. 300 "effector proteins" into host cells, where they target distinct host factors. The L. pneumophila "pentuple" mutant (Δpentuple) lacks 5 gene clusters (31% of the effector proteins) and replicates in macrophages but not in Dictyostelium discoideum amoeba. To elucidate the host factors defining a replication-permissive compartment, we compare here the proteomes of intact LCVs isolated from D. discoideum or macrophages infected with Δpentuple or the parental strain Lp02. This analysis revealed that the majority of host proteins are shared in D. discoideum or macrophage LCVs containing the mutant or the parental strain, respectively, whereas some proteins preferentially localize to distinct LCVs. The small GTPase Rap1 was identified on D. discoideum LCVs containing strain Lp02 but not the Δpentuple mutant and on macrophage LCVs containing either strain. The localization pattern of active Rap1 on D. discoideum or macrophage LCVs was confirmed by fluorescence microscopy and imaging flow cytometry, and the depletion of Rap1 by RNA interference significantly reduced the intracellular growth of L. pneumophila Thus, comparative proteomics identified Rap1 as a novel LCV host component implicated in intracellular replication of L. pneumophila.

Grad-seq guides the discovery of ProQ as a major small RNA-binding protein.

The functional annotation of transcriptomes and identification of noncoding RNA (ncRNA) classes has been greatly facilitated by the advent of next-generation RNA sequencing which, by reading the nucleotide order of transcripts, theoretically allows the rapid profiling of all transcripts in a cell. However, primary sequence per se is a poor predictor of function, as ncRNAs dramatically vary in length and structure and often lack identifiable motifs. Therefore, to visualize an informative RNA landscape of organisms with potentially new RNA biology that are emerging from microbiome and environmental studies requires the use of more functionally relevant criteria. One such criterion is the association of RNAs with functionally important cognate RNA-binding proteins. Here we analyze the full ensemble of cellular RNAs using gradient profiling by sequencing (Grad-seq) in the bacterial pathogen Salmonella enterica, partitioning its coding and noncoding transcripts based on their network of RNA-protein interactions. In addition to capturing established RNA classes based on their biochemical profiles, the Grad-seq approach enabled the discovery of an overlooked large collective of structured small RNAs that form stable complexes with the conserved protein ProQ. We show that ProQ is an abundant RNA-binding protein with a wide range of ligands and a global influence on Salmonella gene expression. Given its generic ability to chart a functional RNA landscape irrespective of transcript length and sequence diversity, Grad-seq promises to define functional RNA classes and major RNA-binding proteins in both model species and genetically intractable organisms.

The Proteomic Response of Bacillus pumilus Cells to Glucose Starvation.

Since starvation for carbon sources is a common condition for bacteria in nature and it can also occur in industrial fermentation processes due to mixing zones, knowledge about the response of cells to carbon starvation is beneficial. The preferred carbon source for bacilli is glucose. The response of Bacillus pumilus cells to glucose starvation using metabolic labeling and quantitative proteomics was analyzed. Glucose starvation led to an extensive reprogramming of the protein expression pattern in B. pumilus. The amounts of proteins of the central carbon metabolic pathways (glycolysis and TCC) remained stable in starving cells. Proteins for gluconeogenesis were found in higher amounts during starvation. Furthermore, many proteins involved in acquisition and usage of alternative carbon sources were present in elevated amounts in starving cells. Enzymes for fatty acid degradation and proteases and peptidases were also found in higher abundance when cells entered stationary phase. Among the proteins found in lower amounts were many enzymes involved in amino acid and nucleotide synthesis and several NRPS and PKS proteins.

Differential daptomycin resistance development in Staphylococcus aureus strains with active and mutated gra regulatory systems.

The first-in-class lipopeptide antibiotic daptomycin (DAP) is highly active against Gram-positive pathogens including ß-lactam and glycopeptide resistant strains. Its molecular mode of action remains enigmatic, since a defined target has not been identified so far and multiple effects, primarily on the cell envelope have been observed. Reduced DAP susceptibility has been described in S. aureus and enterococci after prolonged treatment courses. In line with its pleiotropic antibiotic activities, a unique, defined molecular mechanism of resistance has not emerged, instead non-susceptibility appears often accompanied by alterations in membrane composition and changes in cell wall homeostasis. We compared S. aureus strains HG001 and SG511, which differ primarily in the functionality of the histidine kinase GraS, to evaluate the impact of the GraRS regulatory system on the development of DAP non-susceptibility. After extensive serial passing, both DAPR variants reached a minimal inhibitory concentration of 31 µg/ml and shared some phenotypic characteristics (e.g. thicker cell wall, reduced autolysis). However, based on comprehensive analysis of the underlying genetic, transcriptomic and proteomic changes, we found that both strains took different routes to achieve DAP resistance. Our study highlights the impressive genetic and physiological capacity of S. aureus to counteract pleiotropic activities of cell wall- and membrane-active compounds even when a major cell wall regulatory system is dysfunctional.

Global quantification of phosphoproteins combining metabolic labeling and gel-based proteomics in B. pumilus.

Differential proteomics targeting the protein abundance is commonly used to follow changes in biological systems. Differences in localization and degree of post-translational modifications of proteins including phosphorylations are of tremendous interest due to the anticipated role in molecular regulatory processes. Because of their particular low abundance in prokaryotes, identification and quantification of protein phosphorylation is traditionally performed by either comparison of spot intensities on two-dimensional gels after differential phosphoprotein staining or gel-free by stable isotope labeling, sequential phosphopeptide enrichment and following LC-MS analysis. In the current work, we combined in a proof-of-principle experiment these techniques using 14 N/15 N metabolic labeling with succeeding protein separation on 2D gels. The visualization of phosphorylations on protein level by differential staining was followed by protein identification and determination of phosphorylation sites and quantification by LC-MS/MS. This approach should avoid disadvantages of traditional workflows, in particular the limited capability of peptide-based gel-free methods to quantify isoforms of proteins. Comparing control and stress conditions allowed for relative quantification in protein phosphorylation in Bacillus pumilus exposed to hydrogen peroxide. Altogether, we quantified with this method 19 putatively phosphorylated proteins.

Laminar Chaos.

We show that the output of systems with time-varying delay can exhibit a new kind of chaotic behavior characterized by laminar phases, which are periodically interrupted by irregular bursts. Within each laminar phase the output intensity remains almost constant, but its level varies chaotically from phase to phase. In scalar systems, the periodic dynamics of the lengths and the chaotic dynamics of the intensity levels can be understood and also tuned via two one-dimensional maps, which can be deduced from the nonlinearity of the delay equation and from the delay variation, respectively.

Tracking gene expression and oxidative damage of O2-stressed Clostridioides difficile by a multi-omics approach.

Clostridioides difficile is the major pathogen causing diarrhea following antibiotic treatment. It is considered to be a strictly anaerobic bacterium, however, previous studies have shown a certain and strain-dependent oxygen tolerance. In this study, the model strain C. difficile 630Δerm was shifted to micro-aerobiosis and was found to stay growing to the same extent as anaerobically growing cells with only few changes in the metabolite pattern. However, an extensive change in gene expression was determined by RNA-Seq. The most striking adaptation strategies involve a change in the reductive fermentation pathways of the amino acids proline, glycine and leucine. But also a far-reaching restructuring in the carbohydrate metabolism was detected with changes in the phosphotransferase system (PTS) facilitated uptake of sugars and a repression of enzymes of glycolysis and butyrate fermentation. Furthermore, a temporary induction in the synthesis of cofactor riboflavin was detected possibly due to an increased demand for flavin mononucleotid (FMN) and flavin adenine dinucleotide (FAD) in redox reactions. However, biosynthesis of the cofactors thiamin pyrophosphate and cobalamin were repressed deducing oxidation-prone enzymes and intermediates in these pathways. Micro-aerobically shocked cells were characterized by an increased demand for cysteine and a thiol redox proteomics approach revealed a dramatic increase in the oxidative state of cysteine in more than 800 peptides after 15 min of micro-aerobic shock. This provides not only a catalogue of oxidation-prone cysteine residues in the C. difficile proteome but also puts the amino acid cysteine into a key position in the oxidative stress response. Our study suggests that tolerance of C. difficile towards O2 is based on a complex and far-reaching adjustment of global gene expression which leads to only a slight change in phenotype.