Dynamics of microbial community composition and function during in situ bioremediation of a uranium-contaminated aquifer

A pilot-scale system was established to examine the feasibility of in situ U(VI) immobilization at a highly contaminated aquifer (U.S. DOE Integrated Field Research Challenge site, Oak Ridge, TN). Ethanol was injected intermittently as an electron donor to stimulate microbial U(VI) reduction, and U(VI) concentrations fell to below the Environmental Protection Agency drinking water standard (0.03 mg liter(-1)). Microbial communities from three monitoring wells were examined during active U(VI) reduction and maintenance phases with GeoChip, a high-density, comprehensive functional gene array. The overall microbial community structure exhibited a considerable shift over the remediation phases examined. GeoChip-based analysis revealed that Fe(III)-reducing bacterial (FeRB), nitrate-reducing bacterial (NRB), and sulfate-reducing bacterial (SRB) functional populations reached their highest levels during the active U(VI) reduction phase (days 137 to 370), in which denitrification and Fe(III) and sulfate reduction occurred sequentially. A gradual decrease in these functional populations occurred when reduction reactions stabilized, suggesting that these functional populations could play an important role in both active U(VI) reduction and maintenance of the stability of reduced U(IV). These results suggest that addition of electron donors stimulated the microbial community to create biogeochemical conditions favorable to U(VI) reduction and prevent the reduced U(IV) from reoxidation and that functional FeRB, SRB, and NRB populations within this system played key roles in this process.     

Correlation between cell composition and carbon conversion efficiency in microbial growth: a theoretical study

Summary As the macromolecular composition of microorganisms varies during their life cycle it was asked whether, and to what extent such changes exert any influence on substrate consumption, i.e. growth yield and carbon conversion efficiency, respectively. This question was dealt with in a theoretical study by use of the Y _APT ^max -concept. The growth substrates considered were methanol, acetate and glucose; the latter was assumed to be assimilated via both the glycolytic and the oxidative hexosemonophosphate pathway. Five fictitious biomasses were used which were altered in their proportion of polysaccharides, proteins, lipids, RNA and DNA. As a result, only small variations in the individual biomass formulae were obtained. On the basis of the energy balances for the syntheses of all cell constituents it was found that variations in the macromolecular composition of microbial biomass have only a slight effect on carbon conversion efficiency, amounting to maximally 3%. From the material balances it could be calculated that the upper, solely metabolism-determined limit of carbon conversion efficiency is 85% for substrates assimilated glycolytically via phosphoglycerate; for gluconeogenetic substrates, the upper limit was 75%. These limits are essentially determined by carbon loss on the way to amino acid syntheses.Abbreviations Ac acetate - CCE carbon conversion efficiency (%) - EMP Embden-Meyerhof-Parnas (glycolytic) pathway - Gluc glucose - HMP oxidative hexosemonophosphate pathway - m _e maintenance coefficient (mmol g^-1 h^-1) - MeOH methanol - PGA phosphoglycerate, Y, growth yield (g dry weight per g substrate) - Y _ATP growth yield (g dry weight per mole ATP) - specific growth rate (h^-1)     

Dynamics of Epidemiological Models

We study the SIS and SIRI epidemic models discussing different approaches to compute the thresholds that determine the appearance of an epidemic disease. The stochastic SIS model is a well known mathematical model, studied in several contexts. Here, we present recursively derivations of the dynamic equations for all the moments and we derive the stationary states of the state variables using the moment closure method. We observe that the steady states give a good approximation of the quasi-stationary states of the SIS model. We present the relation between the SIS stochastic model and the contact process introducing creation and annihilation operators. For the spatial stochastic epidemic reinfection model SIRI, where susceptibles S can become infected I, then recover and remain only partial immune against reinfection R, we present the phase transition lines using the mean field and the pair approximation for the moments. We use a scaling argument that allow us to determine analytically an explicit formula for the phase transition lines in pair approximation.     

The influence of soluble microbial products on microbial community composition: hypothesis of microbial community succession

Soluble microbial products (SMP) are organic compounds produced by activated sludge microorganisms as they degrade substrates. They include by-products of microbial activity, death and lysis. The available literature does not reveal how SMP influence microbial community composition. In this regard, we microscopically studied changes in composition of microbial communities, especially protozoa and metazoa, under the influence of increased as well as reduced levels of SMP. The presence of SMP at high level significantly caused changes in microbial community composition. Microbial species shifted from attached ciliates (12-175 microm) to free-swimming and crawling ciliates (35-330 microm) and then invertebrates, which included rotifers (0.2-1 mm) and nematodes (1-50 mm). The shift of small-size microorganisms to large ones was observed as one of the most significant influences of SMP. Attached ciliates reappeared when we removed the SMP that had accumulated in the bioreactors - we have called this as the resurrection phenomenon of microorganisms. Such rapid changes in microbial community composition were not observed in the experiment with low concentration of SMP. Overall, the results suggest that accumulation of SMP is one of the intrinsic regulatory mechanisms that control viability and dormancy of microbial communities in activated sludge.     

Enzyme inhibitors of microbial origin

The screening for enzyme inhibitors of microbial origin in the past decades has been a prosperous area to find new metabolites that are of potential importance as therapeutic or antibiotic agents. This review attempts a survey of recent achievements in this type of screening. Special emphasis is given to enzyme inhibitors and screening systems in fields where industry has a main interest in development. This includes some notes on the improved methodology for the detection of reversible and irreversible inhibitors of beta-lactamases and the presentation of a unique inhibitor of alpha-amylase from porcine pancreas isolated from a strain of Streptomyces tendae. This inhibitor (HOE 467) may be of potential use in the treatment of diabetic conditions, obesity and adipositas. The results show that the screening for enzyme inhibitors from microorganisms still provides one of the central challenges for future research.     

MSMBuilder: Statistical Models for Biomolecular Dynamics

MSMBuilder is a software package for building statistical models of high-dimensional time-series data. It is designed with a particular focus on the analysis of atomistic simulations of biomolecular dynamics such as protein folding and conformational change. MSMBuilder is named for its ability to construct Markov state models (MSMs), a class of models that has gained favor among computational biophysicists. In addition to both well-established and newer MSM methods, the package includes complementary algorithms for understanding time-series data such as hidden Markov models and time-structure based independent component analysis. MSMBuilder boasts an easy to use command-line interface, as well as clear and consistent abstractions through its Python application programming interface. MSMBuilder was developed with careful consideration for compatibility with the broader machine learning community by following the design of scikit-learn. The package is used primarily by practitioners of molecular dynamics, but is just as applicable to other computational or experimental time-series measurements.     

Proteinaceous inhibitors of microbial xylanases

At the end of 1990s two structurally different proteinaceous inhibitors of xylanases were discovered in the grain of wheat (Triticum aestivum). They were named TAXI (T. aestivum xylanase inhibitor) and XIP (xylanase-inhibiting protein). Later it was shown that TAXI and XIP in wheat are present in several isoforms encoded by different genes. TAXI- and XIP-like inhibitors have also been found in other cereals-barley, rye, rice, maize, etc. All these proteins can specifically inhibit activity of fungal and bacterial xylanases belonging to families 10 and 11 of glycoside hydrolases, but they do not affect endogenous enzymes produced by plants. A common viewpoint is that the presence of proteinaceous inhibitors in cereals is a response of plants to pathogenic attack by microorganisms. A few years ago, an inhibitor of a third type was discovered in wheat. It was named TLXI (thaumatin-like xylanase inhibitor) because of its similarity to the thaumatin family of plant proteins. In this review, the occurrence of proteinaceous inhibitors of xylanases in different cereals, their specificity towards fungal and bacterial enzymes, as well as structural features responsible for enzyme sensitivity to various types of inhibitors are discussed.     

Alpha-glucosidase inhibitors of microbial origin]

The data on spreading of inhibitors of alpha-glucosidases with microbial origin are given. Physiochemical characteristics of acorbose--a known inhibitor of alpha-glucosidases--and new inhibitor isolated from Streptomyces sp. are given in detail.     

Low-molecular-weight trypsin inhibitors of microbial origin

Three hundred actinomyces cultures newly isolated from the soil of different regions of the Soviet Union were tested for their ability to produce inhibitors of trypsin-like proteases. Seven previously not known to produce trypsin inhibitors (Streptomyces bikiniensis 17-5, S. sporoclivatus 28-1, S. filamentosus 32-11, S. diastatochromogenes 20-4, S. lavendulae 29-4, S. violacens 52-8, and Streptoverticillium cinnamoneum 36-8) were found to possess high antitrypsin activity. The morphological and cultural properties of the strains and the dynamics of inhibitor production were investigated. S. bikiniensis 17-5 was studied in greatest detail. Its culture filtrate contained several inhibitors for trypsin and one for chymotrypsin. A mixture of oligopeptides with Mr of 300-500 was obtained by the described procedure which included the adsorption of the culture fluid filtrate on charcoal followed by ion-exchange chromatography on CM-cellulose. Four trypsin inhibitors (Sb-IT1, Sb-IT2, Sb-IT3, and Sb-IT4) were isolated from the mixture in a highly purified state by reversed-phase high-performance liquid chromatography. Sb-IT2 has been recognized as formylhistidylvaline with an Mr of 282. No trypsin inhibitor of this structure has been described previously.     

Importance of temperature and anodic medium composition on microbial fuel cell (MFC) performance

The performance of a microbial fuel cell (MFC) was investigated at different temperatures and anodic media. A lag phase of 30 h occurred at 30 degrees C which was half that at room temperature (22 degrees C). The maximum power density at 30 degrees C was 70 mW/m(2) and at 22 degrees C was 43 mW/m(2). At 15 degrees C, no successful operation was observed even after several loadings for a long period of operation. Maximum power density of 320 mW/m(2) was obtained with wastewater medium containing phosphate buffer (conductivity: 11.8 mS/cm), which was approx. 4 times higher than the value without phosphate additions (2.89 mS/cm).     

Quantitative Decomposition of Dynamics of Mathematical Cell Models: Method and Application to Ventricular Myocyte Models

Mathematical cell models are effective tools to understand cellular physiological functions precisely. For detailed analysis of model dynamics in order to investigate how much each component affects cellular behaviour, mathematical approaches are essential. This article presents a numerical analysis technique, which is applicable to any complicated cell model formulated as a system of ordinary differential equations, to quantitatively evaluate contributions of respective model components to the model dynamics in the intact situation. The present technique employs a novel mathematical index for decomposed dynamics with respect to each differential variable, along with a concept named instantaneous equilibrium point, which represents the trend of a model variable at some instant. This article also illustrates applications of the method to comprehensive myocardial cell models for analysing insights into the mechanisms of action potential generation and calcium transient. The analysis results exhibit quantitative contributions of individual channel gating mechanisms and ion exchanger activities to membrane repolarization and of calcium fluxes and buffers to raising and descending of the cytosolic calcium level. These analyses quantitatively explicate principle of the model, which leads to a better understanding of cellular dynamics.     

Dynamics of C, N, P and microbial community composition in particulate soil organic matter during residue decomposition

Decomposing residues can be an important source of nutrients for plants, especially of N and P, but the relationship between N and P release and microbial community dynamics have rarely been studied. Two pea (Pisum sativum L.) residues with contrasting chemical composition, shoots from flowering pea (Pea-Y) with 2.9 mg P and 36 mg N kg⁻¹ and from mature pea (Pea-M) with 0.3 mg P and 13 mg N kg⁻¹, were added at a rate of 20 g kg soil⁻¹ to a sandy soil low in nutrients. Particulate organic matter (POM) was isolated on days (d) 0, 5, 15, 28, 42 and 61 after residue addition and analysed for C, N, P and microbial community structure (fatty acid methyl ester analysis). The recovery of POM from residue-amended soils decreased over time to 30–40% of added amounts for both residues. Apart from d 0, the N concentration in POM was lower in residue-amended soil than in the control. Due to a rapid decrease in P concentration during the first 5 days in Pea-Y and a slow increase over the whole experiment in Pea-M, P concentrations in POM on d 61 were similar in all treatments. In Pea-Y, the dynamics of C, N and P were coupled, with amounts of C, N and P decreasing during the first 15 days and remaining stable thereafter. In Pea-M, a steady loss of C from POM was contrasted by a slight increase in P. As a result, the C/P ratio decreased from 1,330 on d 0 to 390 on d 61. The C/N ratio of Pea-M decreased only during the second phase of decomposition. The different nutrient dynamics in Pea-Y and Pea-M led to similar amounts of N and P in POM towards the end of the incubation. Microbial community composition in the POM in Pea-Y and Pea-M remained distinct from the control, even though it changed over time. POM was shown to be an important source of potentially available nutrients after addition of plant residues. In the unamended soil, stable nutrient amounts in POM suggested very low net nutrient release from native POM compared to POM after residue addition.     

Isoelectric focusing of subtilisin inhibitors: Detection and partial characterization of cereal inhibitors of chymotrypsin and microbial proteases

Inhibitors of subtilisin and other microbial serine proteases were detected after isoelectric focusing of cereal extracts in polyacrylamide gels by a negative staining technique based on the chromogenic substrate acetyl-d,l-phenylalanine-2-naphthyl ester. The 10 chymotrypsin isoinhibitors identified in experiments with barley extracts were also inhibitors of subtilisin, and sensitivity of detection was about 25 times higher when gels were stained for inhibitors of this enzyme. In addition, one specific subtilisin inhibitor zone was detected. These 11 barley subtilisin isoinhibitors and similar inhibitors in wheat, triticale, rye, oats, sorghum, rice, and maize were further characterized and classified by isoelectric focusing. Techniques used for this purpose included application of microbial enzymes with different specificity of inhibition, comparison of cereal varieties, pretreatment of extract with monospecific antibodies toward a purified inhibitor from the same or a related species, and pretreatment of extract with inhibitor affinity gel. The procedure used for detection of subtilisin inhibitors was also effective after separation of isoinhibitors by sodium dodecyl sulfate-gel electrophoresis.     

Application of biocathode in microbial fuel cells: cell performance and microbial community

Instead of the utilization of artificial redox mediators or other catalysts, a biocathode has been applied in a two-chamber microbial fuel cell in this study, and the cell performance and microbial community were analyzed. After a 2-month startup, the microorganisms of each compartment in microbial fuel cell were well developed, and the output of microbial fuel cell increased and became stable gradually, in terms of electricity generation. At 20 ml/min flow rate of the cathodic influent, the maximum power density reached 19.53 W/m3, while the corresponding current and cell voltage were 15.36 mA and 223 mV at an external resistor of 14.9 Omega, respectively. With the development of microorganisms in both compartments, the internal resistance decreased from initial 40.2 to 14.0 Omega, too. Microbial community analysis demonstrated that five major groups of the clones were categorized among those 26 clone types derived from the cathode microorganisms. Betaproteobacteria was the most abundant division with 50.0% (37 of 74) of the sequenced clones in the cathode compartment, followed by 21.6% (16 of 74) Bacteroidetes, 9.5% (7 of 74) Alphaproteobacteria, 8.1% (6 of 74) Chlorobi, 4.1% (3 of 74) Deltaproteobacteria, 4.1% (3 of 74) Actinobacteria, and 2.6% (2 of 74) Gammaproteobacteria.     

Practical Identifiability of HIV Dynamics Models

We study the practical identifiability of parameters, i.e., the accuracy of the estimation that can be hoped, in a model of HIV dynamics based on a system of non-linear Ordinary Differential Equations (ODE). This depends on the available information such as the schedule of the measurements, the observed components, and the measurement precision. The number of patients is another way to increase it by introducing an appropriate statistical “population” framework. The impact of each improvement of the experimental condition is not known in advance but it can be evaluated via the Fisher Information Matrix (FIM). If the non-linearity of the biological model, as well as the complex statistical framework makes computation of the FIM challenging, we show that the particular structure of these models enables to compute it as precisely as wanted. In the HIV model, measuring HIV viral load and total CD4+ count were not enough to achieve identifiability of all the parameters involved. However, we show that an appropriate statistical approach together with the availability of additional markers such as infected cells or activated cells should considerably improve the identifiability and thus the usefulness of dynamical models of HIV.