Physicochemical surface properties of brewing yeast influencing their immobilization onto spent grains in a continuous reactor

Immobilization of brewing yeast onto a cellulose-based carrier obtained from spent grains, a brewing byproduct, by acid/base treatment has been studied in a continuously operating bubble-column reactor. The aim of this work was to study the mechanisms of brewing yeast immobilization onto spent grain particles through the information on physicochemical surface properties of brewing yeast and spent grain particles. Three mechanisms of brewing yeast immobilization onto spent grains carrier were proposed: cell-carrier adhesion, cell-cell attachment, and cell adsorption (accumulation) inside natural shelters (carrier's surface roughness). The possibility of stable cell-carrier adhesion regarding the free energy of interaction was proved and the relative importance of long-range forces (Derjaguin-Landau-Verwey-Overbeek theory) and interfacial free energies was discussed. As for the cell-cell attachment leading to a multilayer yeast immobilization, a physicochemical interaction through localized hydrophobic regions on cell surface was hypothesized. However, neither flocculation nor chain formation mechanism can be excluded so far. The adsorption of brewing yeast inside sufficiently large crevices (pores) was documented with photomicrographs. A positive effect of higher dilution rate and increased hydrophobicity of base-treated spent grains on the yeast immobilization rate has also been found.     

Modeling the synergistic effect of high pressure and heat on inactivation kinetics of Listeria innocua: a preliminary study

The survival curves of Listeria innocua CDW47 by high hydrostatic pressure were obtained at four pressure levels (138, 207, 276, 345 MPa) and four temperatures (25, 35, 45, 50 degrees C) in peptone solution. Tailing was observed in the survival curves. Elevated temperatures and pressures substantially promoted the inactivation of L. innocua. A linear and two non-linear (Weibull and log-logistic) models were fitted to these data and the goodness of fit of these models were compared. Regression coefficients (R2), root mean square (RMSE), accuracy factor (Af) values and residual plots suggested that linear model, although it produced good fits for some pressure-temperature combinations, was not as appropriate as non-linear models to represent the data. The residual and correlation plots strongly suggested that among the non linear models studied the log-logistic model produced better fit to the data than the Weibull model. Such pressure-temperature inactivation models form the engineering basis for design, evaluation and optimization of high hydrostatic pressure processes as a new preservation technique.     

Application of adsorption kinetics for estimation of dissociation constants

Substances such as drugs, as well as special ligands with expressive biospecific properties, all with different affinities, interact with proteins which can be characterized by dissociation constants. The method for estimation of the dissociation constant on the basis of adsorption kinetics was verified for two typical cases: adsorption of lactate dehydrogenase onto bead cellulose derivatized by reactive dyes C.I.2. or C.I.19, and adsorption of different drugs (neuroleptics and local anesthetics) onto calmodulin immobilized on agarose gel. The real equilibrium values obtained by using the complete time-concentration model of adsorption were fitted according to the respective adsorption isotherms by non-linear regression.     

Genomic prediction based on data from three layer lines using non-linear regression models

Background

Most studies on genomic prediction with reference populations that include multiple lines or breeds have used linear models. Data heterogeneity due to using multiple populations may conflict with model assumptions used in linear regression methods.

Methods

In an attempt to alleviate potential discrepancies between assumptions of linear models and multi-population data, two types of alternative models were used: (1) a multi-trait genomic best linear unbiased prediction (GBLUP) model that modelled trait by line combinations as separate but correlated traits and (2) non-linear models based on kernel learning. These models were compared to conventional linear models for genomic prediction for two lines of brown layer hens (B1 and B2) and one line of white hens (W1). The three lines each had 1004 to 1023 training and 238 to 240 validation animals. Prediction accuracy was evaluated by estimating the correlation between observed phenotypes and predicted breeding values.

Results

When the training dataset included only data from the evaluated line, non-linear models yielded at best a similar accuracy as linear models. In some cases, when adding a distantly related line, the linear models showed a slight decrease in performance, while non-linear models generally showed no change in accuracy. When only information from a closely related line was used for training, linear models and non-linear radial basis function (RBF) kernel models performed similarly. The multi-trait GBLUP model took advantage of the estimated genetic correlations between the lines. Combining linear and non-linear models improved the accuracy of multi-line genomic prediction.

Conclusions

Linear models and non-linear RBF models performed very similarly for genomic prediction, despite the expectation that non-linear models could deal better with the heterogeneous multi-population data. This heterogeneity of the data can be overcome by modelling trait by line combinations as separate but correlated traits, which avoids the occasional occurrence of large negative accuracies when the evaluated line was not included in the training dataset. Furthermore, when using a multi-line training dataset, non-linear models provided information on the genotype data that was complementary to the linear models, which indicates that the underlying data distributions of the three studied lines were indeed heterogeneous.

Electronic supplementary material

The online version of this article (doi:10.1186/s12711-014-0075-3) contains supplementary material, which is available to authorized users.     

Regulatory mutations in CHO cells induce expression of the mouse embryonic antigen SSEA-1

Two rare and dominant mutants of Chinese hamster ovary (CHO) cells, LEC11 and LEC12, express the mouse embryonic antigen SSEA-1. Parental CHO cells and the revertants, LEC11.R9 and LEC12.R10, do not express this antigen as detected by a sensitive radioimmunoassay with a monoclonal antibody to SSEA-1. The presence of the SSEA-1 determinant correlates with the apparent de novo expression of specific N-acetylglucosaminide alpha(1,3)fucosyltransferase activities not detected in parental or revertant cell extracts. Several differences in the enzymes substrate specificities and their products have been identified. The combined data suggest that LEC11 and LEC12 mutants result from regulatory mutations affecting different fucosyltransferase genes.     

Scaling-up in industrial winemaking using low electric current as an alternative to sulfur dioxide addition

AIMS: To better understand the outcome of employing low electric current (LEC) technology as a new preservation and alternative in wine technology, and to contribute to its development. It is used in industrial-scale winemaking with commercial yeast (Saccharomyces cerevisiae) during the grape must fermentation. METHODS AND RESULTS: LEC (200 mA, time 16 days) was applied to fresh grape must as an alternative method to the usual sulfur dioxide addition used in the industrial process; two tanks, each 30,000 l, were employed for parallel fermentations. The results show that LEC decreased the survival time and increased the death rate of apiculate yeasts, whereas it did not affect the growth and survival of S. cerevisiae. A comparison was made of the main chemical and sensory parameters of the wines obtained. CONCLUSIONS: The results have demonstrated that the low-voltage treatment had a positive effect on the grape juice fermentation (yeast microflora) during the early stages of winemaking. SIGINIFICANCE AND IMPACT OF THE STUDY: These results could be of significant importance in developing, for 'biological wine', new winemaking technologies for an innovative control process of yeast fermentation.     

Statistical modelling of fatigue-related electromyographic median frequency characteristics of back and hip muscles during a standardized isometric back extension test.

The purpose of the present study was to evaluate which statistical model - linear, logarithmic, quadratic or exponential - best described the fatigue-related electromyographic (EMG) changes of back and hip muscles. Twenty healthy volunteers performed a modified Biering-Sorensen test. The EMG activity of the latissimus dorsi (LD), longissimus thoracis pars thoracis (LTT) and lumborum (LTL), iliocostalis lumborum pars thoracis (ILT) and lumborum (ILL), multifidus (MF), gluteus maximus (GM) and biceps femoris (BF) was measured bilaterally using surface electrodes. Higher R(2) values were found for the quadratic models (p<0.05 for all muscles), and lower R(2) values for the logarithmic models (p<0.05 for LTT, LTL, ILL, MF and GM). The exponential models generated higher R(2) values compared to the linear ones for the LTT, LTL and MF (all p<0.05). Further analyses revealed, however, that these models did not add useful additional information, and therefore would only increase the complexity. The findings of the current study validate the use of simple linear regression techniques when studying fatigue-related EMG median frequency characteristics of back and hip muscles during isometric contractions.     

Cell surface-engineered yeast displaying a histidine oligopeptide (hexa-His) has enhanced adsorption of and tolerance to heavy metal ions

A histidine oligopeptide (hexa-His) with the ability to chelate divalent heavy metal ions was displayed on the yeast cell surface for the purpose of enhanced adsorption of heavy metal ions. We genetically fused a hexa-His-encoding gene with the gene encoding the C-terminal half of alpha-agglutinin that includes a glycosylphosphatidylinositol anchor attachment signal sequence and attached the hexa-His peptide on the cell wall of Saccharomyces cerevisiae. This surface-engineered yeast adsorbed three to eight times more copper ions than the parent strain and was more resistant to copper (4 mM) than the parent (below 1 mM at pH 7.8). It was possible to recover about a half of the copper ions adsorbed by whole cells with EDTA treatment without disintegrating the cells. Thus, we succeeded in constructing a novel yeast cell with both tolerance to toxic contaminants and enhanced adsorption of metal ions onto the cell surface.     

Amino acid composition and hydrophobicity patterns of protein domains correlate with their structures

We examine the correlation between the sequence and tertiary structure for 212 domains from globular proteins and polypeptides. The sequence of each domain is described as a set of 25 features: the mole percent of 20 amino acids, the number of residues in the domain, and the abundance of four simple patterns in the hydrophobicity profile of the sequence. Each domain, then, is described as a location in 25-dimensional sequence-feature space. We use pattern-recognition methods to find the two axes through the 25-dimensional sequence-feature space that best discriminate, respectively, predominantly α-helix domains from predominantly β-strand domains (the “secondary structure vector,” SV) and parallel α/β domains from other domains (the “parallel vector,” PV). When we divide the domains into two categories based on whether the cysteine content is above (CYS -RICH ) or below (NORMAL ) 4.5%, we find the secondary structure vector for the subset of CYS -RICH domains points in a significantly different direction than the equivalent vector for the NORMAL domains. Thus, CYS -RICH and NORMAL , domains are best treated separately. The secondary structure vector and the parallel vector for NORMAL domains describes statistically meaningful information, but the secondary structure vector for CYS -RICH domains may not be as reliable. We show how the secondary structure content of a NORMAL domain can be predicted by projecting the domain in the feature space onto the secondary structure vector. We subdivide the domains into five structural classes based on whether there is a parallel or mixed β-sheet in the domain and whether there are more helix or strand residues: NORMAL ALPHA , NORMAL BETA , NORMAL PARALLEL , CYS -RICH ALPHA , and CYS -RICH BETA . When we project the NORMAL domains onto the plane containing the origin of the feature space and SV and PV, we see that ALPHA , BETA , and PARALLEL , domains cluster in the plane, with the BETA cluster partially overlapping the PARALLEL cluster. The separations between the clusters are such that, by looking at the location of any given NORMAL domain in the plane, we can correctly predict its structural class with 83% accuracy. CYS -RICH ALPHA and BETA domains cluster when projected onto the CYS -RICH SV vector, and the classes can be preducted with 83% accuracy, but this accuracy for CYS -RICH domains may not be statistically meaningful.     

Modeling Dicamba Sorption and Transport Through Zoysiagrass Thatch and Soil

The presence of turfgrass thatch complicates the sorption and transport of water soluble pesticides because the surface-applied pesticides must pass through an organic-rich thatch layer prior to entering the soil. The study was conducted (1) to determine the impact of zoysiagrass thatch (Zoy-sia japonica Steud.) on dicamba (3,6-dichloro-2-methoxy benzoic acid) transport through soil columns, and (2) to evaluate the effectiveness of linear equilibrium (LEM), two site nonequilibrium (2SNE) and one site nonequilibrium (1SNE) models to predict dicamba transport through columns containing a surface layer of thatch and columns devoid of thatch. The equilibrium sorption isotherms of ¹⁴C dicamba to homogenized samples of zoysiagrass thatch and a Sassafras loamy sand soil (fine loamy, mixed mesic, Typic Hapludult) were determined. Following the application of bromide to determine transport parameters, 0.56?kg dicamba ha^?1 was surface applied to undisturbed soil columns containing a surface layer of thatch and columns devoid of thatch and leachate samples collected for 12?h under steady-state unsaturated conditions. Zoysiagrass thatch (Kf = 0.82) had a three times greater sorption capacity than the soil (Kf = 0.28) beneath the thatch. Dicamba leaching for columns with thatch layers was ca. 21% less than soil columns devoid of thatch. When dicamba breakthrough curves were fitted to the different forms of the convective dispersive equation, the 2SNE model simulated dicamba transport better than LEM and 1SNE models, indicating the presence of two-site nonequilibrium sorption. Indications are that turfgrass thatch may have significant effects on dicamba leaching that presently used regulatory models based on LEM approach do not adequately consider.     

Inactivation of wine spoilage yeasts Dekkera bruxellensis using low electric current treatment (LEC)

Aims: The objective of this study was to investigate the inactivation of a selected yeast Dekkera bruxellensis strain 4481 in red wine by application of low electric current treatment (LEC). Methods and Results: LEC (200 mA) was applied for 60 days to a red wine, Montepulciano d’Abruzzo, in an alternative strategy to the SO₂ addition during wine storage. The LEC effect on both cell activity and microflora viability was assessed. LEC decreased significantly the survival viable cells and increased the death rate of D. bruxellensis strain 4481 yeast. A final comparison was made of the main physico‐chemical parameters of the wine after the different treatments. The study suggests the importance of an appropriate LEC treatment which limits wine deterioration in terms of off‐flavours synthesis. Conclusions: The results demonstrate that the growth of undesirable Dekkera can be inhibited by low voltage treatment; LEC was shown to be useful to prevent wine spoilage and has the potential of being a concrete alternative method for controlling wine spoilage. Significance and Impact of the Study: Wine spoilage can be avoided by preventing the growth of undesirable Dekkera yeasts, through the effective use of LEC in the winemaking process.     

Affinity adsorption of lysozyme on a macroligand prepared with Cibacron Blue 3GA attached to yeast cells

The objective of this study was the development of affinity adsorbent particles with the appropriate characteristics to be applied in protein purification using the affinity ultrafiltration method. To prepare affinity macroligands Cibacron Blue 3GA, as a ligand molecule, was immobilized by covalent bonding onto yeast cell walls, the support material or matrix. The maximum attachment of the ligand to the matrix was 212 μmol/g (ligand dry weight/yeast dry weight). Lysozyme was selected as the protein model for the adsorption studies. Its adsorption onto the matrix without ligand and matrix with attached ligand were investigated batch-wise. The adsorption equilibrium isotherms appeared to follow a typical Langmuir isotherm. The maximum adsorption capacity (q(m)) of the Cell-Cibacron macroligand for lysozyme was 110 mg/ml of wet macroligand. The adsorbent was also employed for the separation of lysozyme from hen egg white. High purity lysozyme was obtained.     

Lymphocytes transfer [14C]‐labeled fatty acids to skeletal muscle in culture; modulation by exercise

Previous studies have shown that lipids are transferred from lymphocytes (Ly) to different cell types including macrophages, enterocytes, and pancreatic β cells in co‐culture. This study investigated whether [¹⁴C]‐labeled fatty acids (FA) can be transferred from Ly to skeletal muscle (SM), and the effects of exercise on such phenomenon. Ly obtained from exercised (EX) and control (C) male Wistar rats were preloaded with the [¹⁴C]‐labeled free FA palmitic (PA), oleic (OA), linoleic (LA), or arachidonic (AA). Radioactively loaded Ly were then co‐cultured with SM from the same Ly donor animals. Substantial amounts of FA were transferred to SM being the profile PA = OA > AA > LA to the C group, and PA > OA > LA > AA to the EX group. These FA were incorporated predominantly as phospholipids (PA = 66.75%; OA = 63.09%; LA = 43.86%; AA = 47.40%) in the C group and (PA = 63.99% OA = 52.72%; LA = 55.99%; AA = 63.40%) in the EX group. Also in this group, the remaining radioactivity from AA, LA, and OA acids was mainly incorporated in structural and energetic lipids. These results support the hypothesis that Ly are able to export lipids to SM in co‐culture. Furthermore, exercise modulates the lipid transference profile, and its incorporation on SM. The overall significance of this phenomenon in vivo remains to be elucidated. Copyright © 2010 John Wiley & Sons, Ltd.     

Adsorption of lead(II) from aqueous solution onto Hydrilla verticillata

The adsorption of Pb(II) onto Hydrilla verticillata was examined in aqueous solution with parameters of pH, adsorbent dosage, contact time and temperature. The linear Langmuir and Freundlich models were applied to describe equilibrium isotherms, and both models fitted well. The monolayer adsorption capacity of Pb(II) was found as 104.2 mg/g at pH 4 and 25°C. Dubinin–Radushkevich (D–R) isotherm model was also applied to the equilibrium data. The mean free energy of adsorption (15.81 kJ/mol) indicated that the adsorption of Pb(II) onto H. verticillata may be carried out via chemical ion-exchange mechanism. Thermodynamic parameters, free energy (ΔG ⁰), enthalpy (ΔH ⁰) and entropy (ΔS ⁰) of adsorption were also calculated. These parameters showed that the adsorption of Pb(II) onto H. verticillata was a feasible, spontaneous and exothermic process in nature. The influence of Cd²⁺, Cu²⁺ and Ni²⁺ on adsorption of Pb²⁺ onto H. verticillata was studied, too. In the investigated range of operating conditions, it was found that the existence of Cd ²⁺, Cu ²⁺ and Ni ²⁺ had no impact on the adsorption of Pb²⁺.     

Adsorption of polycyclic aromatic hydrocarbons (PAHs) on Rhizopus oryzae cell walls: application of cosolvent models for validating the cell wall-water partition coefficient

The cell wall-cosolvent partition coefficients (Km) of polycyclic aromatic hydrocarbons (PAHs) were determined for Rhizopus oryzae cell walls by controlling the volume fraction of methanol (f) ranging from 0.1 to 0.5. Five cosolvent models were employed for extrapolating the cell wall-water partition coefficients (Kw) in pure water. The extrapolated Kw values of four PAHs on R. oryzae cell walls were ranged from 2.9 to 5.1. Comparison of various Kw values of pyrene generated from extrapolation and the QSPR model, together with predicted different (PD), mean percentage deviations (MPD), and root mean square errors (RSE), revealed that the performance of the LL and Bayesian models were the best among all five tested cosolvent models. This study suggests that R. oryzae cell walls play an important role in the partitioning of PAHs during bioremediation because of the high Kw of fungal cell walls.     

The impact of exclusion processes on angiogenesis models

Angiogenesis is the process by which new blood vessels form from existing vessels. During angiogenesis, tip cells migrate via diffusion and chemotaxis, new tip cells are introduced through branching, loops form via tip-to-tip and tip-to-sprout anastomosis, and a vessel network forms as endothelial cells, known as stalk cells, follow the paths of tip cells (a process known as the snail-trail). Using a mean-field approximation, we systematically derive one-dimensional non-linear continuum models from a lattice-based cellular automaton model of angiogenesis in the corneal assay, explicitly accounting for cell volume. We compare our continuum models and a well-known phenomenological snail-trail model that is linear in the diffusive, chemotactic and branching terms, with averaged cellular automaton simulation results to distinguish macroscale volume exclusion effects and determine whether linear models can capture them. We conclude that, in general, both linear and non-linear models can be used at low cell densities when single or multi-species exclusion effects are negligible at the macroscale. When cell densities increase, our non-linear model should be used to capture non-linear tip cell behavior that occurs when single-species exclusion effects are pronounced, and alternative models should be derived for non-negligible multi-species exclusion effects.

     

Xylosyltransferase-I regulates glycosaminoglycan synthesis during the pathogenic process of human osteoarthritis

Loss of glycosaminoglycan (GAG) chains of proteoglycans (PGs) is an early event of osteoarthritis (OA) resulting in cartilage degradation that has been previously demonstrated in both huma and experimental OA models. However, the mechanism of GAG loss and the role of xylosyltransferase-I (XT-I) that initiates GAG biosynthesis onto PG molecules in the pathogenic process of human OA are unknown. In this study, we have characterized XT-I expression and activity together with GAG synthesis in human OA cartilage obtained from different regions of the same joint, defined as "normal", "late-stage" or adjacent to "late-stage". The results showed that GAG synthesis and content increased in cartilage from areas flanking OA lesions compared to cartilage from macroscopically "normal" unaffected regions, while decreased in "late-stage" OA cartilage lesions. This increase in anabolic state was associated with a marked upregulation of XT-I expression and activity in cartilage "next to lesion" while a decrease in the "late-stage" OA cartilage. Importantly, XT-I inhibition by shRNA or forced-expression with a pCMV-XT-I construct correlated with the modulation of GAG anabolism in human cartilage explants. The observation that XT-I gene expression was down-regulated by IL-1β and up-regulated by TGF-β1 indicates that these cytokines may play a role in regulating GAG content in human OA. Noteworthy, expression of IL-1β receptor (IL-1R1) was down-regulated whereas that of TGF-β1 was up-regulated in early OA cartilage. Theses observations may account for upregulation of XT-I and sustained GAG synthesis prior to the development of cartilage lesions during the pathogenic process of OA.