Low metabolic rates in primitive hunters and weaver spiders

The rates of oxygen consumption and carbon dioxide release of primitive hunters and weaver spiders, the Chilean Recluse spider Loxosceles laeta Nicolet (Araneae: Sicariidae) and the Chilean Tiger spider Scytodes globula Nicolet (Araneae: Scytodidae), are analyzed, and their relationship with body mass is studied. The results are compared with the metabolic data available for other spiders. A low metabolic rate is found both for these two species and other primitive hunters and weavers, such as spiders of the families Dysderidae and Plectreuridae. The metabolic rate of this group is lower than in nonprimitive spiders, such as the orb weavers (Araneae: Araneidae). The results reject the proposition of a general relationship for metabolic rate for all land arthropods (related to body mass) and agree with the hypothesis that metabolic rates are affected not only by sex, reproductive and developmental status, but also by ecology and life style, recognizing here, at least in the araneomorph spiders, a group having low metabolism, comprising the primitive hunters and weaver spiders, and another group comprising the higher metabolic rate web building spiders (e.g. orb weavers).     

Vancomycin Tolerant,Methicillin-Resistant Staphylococcus aureus Reveals the Effects of Vancomycin on Cell Wall Thickening

Methicillin-resistant Staphylococcus aureus (MRSA) is an important opportunistic pathogen that causes both healthcare- and community-acquired infections. An increase in the incidence of these infections may lead to a substantial change in the rate of vancomycin usage. Incidence of reduced susceptibility to vancomycin has been increasing worldwide for the last few years, conferring different levels of resistance to vancomycin as well as producing changes in the cell wall structure. The aim of the present study was to determine the effect of vancomycin on cell wall thickening in clinical isolates of vancomycin-tolerant (VT) MRSA obtained from pediatric patients. From a collection of 100 MRSA clinical isolates from pediatric patients, 12% (12/100) were characterized as VT-MRSA, and from them, 41.66% (5/12) exhibited the heterogeneous vancomycin-intermediate S. aureus (hVISA) phenotype. Multiplex-PCR assays revealed 66.66% (8/12), 25% (3/12), and 8.33% (1/12) of the VT-MRSA isolates were associated with agr group II, I, and III polymorphisms, respectively; the II-mec gene was amplified from 83.3% (10/12) of the isolates, and the mecIVa gene was amplified from 16.66% (2/12) of the isolates. Pulsed field electrophoresis (PFGE) fingerprint analysis showed 62% similarity among the VT-MRSA isolates. Thin transverse sections analyzed by transmission electron microscopy (TEM) revealed an average increase of 24 nm (105.55%) in the cell wall thickness of VT-MRSA compared with untreated VT-MRSA isolates. In summary, these data revealed that the thickened cell walls of VT-MRSA clinical isolates with agr type II and SCCmec group II polymorphisms are associated with an adaptive resistance to vancomycin.     

Constrained Unfolding of a Helical Peptide: Implicit versus Explicit Solvents

Steered Molecular Dynamics (SMD) has been seen to provide the potential of mean force (PMF) along a peptide unfolding pathway effectively but at significant computational cost, particularly in all-atom solvents. Adaptive steered molecular dynamics (ASMD) has been seen to provide a significant computational advantage by limiting the spread of the trajectories in a staged approach. The contraction of the trajectories at the end of each stage can be performed by taking a structure whose nonequilibrium work is closest to the Jarzynski average (in naive ASMD) or by relaxing the trajectories under a no-work condition (in full-relaxation ASMD—namely, FR-ASMD). Both approaches have been used to determine the energetics and hydrogen-bonding structure along the pathway for unfolding of a benchmark peptide initially constrained as an α-helix in a water environment. The energetics are quite different to those in vacuum, but are found to be similar between implicit and explicit solvents. Surprisingly, the hydrogen-bonding pathways are also similar in the implicit and explicit solvents despite the fact that the solvent contact plays an important role in opening the helix.     

Model‐assisted identification of metabolic engineering strategies for Jatropha curcas lipid pathways

Efficient approaches to increase plant lipid production are necessary to meet current industrial demands for this important resource. While Jatropha curcas cell culture can be used for in vitro lipid production, scaling up the system for industrial applications requires an understanding of how growth conditions affect lipid metabolism and yield. Here we present a bottom‐up metabolic reconstruction of J. curcas supported with labeling experiments and biomass characterization under three growth conditions. We show that the metabolic model can accurately predict growth and distribution of fluxes in cell cultures and use these findings to pinpoint energy expenditures that affect lipid biosynthesis and metabolism. In addition, by using constraint‐based modeling approaches we identify network reactions whose joint manipulation optimizes lipid production. The proposed model and computational analyses provide a stepping stone for future rational optimization of other agronomically relevant traits in J. curcas.     

In vitro somatic embryogenesis of Texas ebony (Ebenopsis ebano [Berland.] Barneby & J.W. Grimes)

In Vitro Cellular & Developmental Biology - Plant - Texas ebony (Ebenopsis ebano [Berland.] Barneby & J.W. Grimes) is a member of the Fabaceae that is native to Mexico. Its wood has...     

Neuro-protective effects of carbamazepine on sleep patterns and head and body shakes in kainic acid-treated rats

The aim of this work was to analyze the effect of carbamazepine (CBZ) on sleep patterns and on “head and body shakes” and to determine the role of serotonin (5-HT) in a model of kainic-induced seizures. Thirty male Wistar rats (280–300 g) were used for polygraphic sleep recording. After a basal recording, the rats were allocated into three groups: kainic acid-treated animals (KA; 10 mg/kg; n = 10), carbamazepine-treated animals (CBZ; 30 mg/kg; n = 10) and animals injected with KA 30 min after pretreatment with CBZ (CBZ + KA; n = 10). Polygraphic recordings were performed for 10 h for 3 days, with the exception of the CBZ group, which were observed for 1 day. In order to measure the head and body shakes that occurred over that time, a behavioral assessment was performed in two additional groups of KA (n = 10) and CBZ + KA (n = 10) animals. After 10 h of behavioral assessment, the rats were sacrificed, and the levels of 5-HT and 5-hydroxy-indol-acetic acid (5-HIAA) were analyzed. We compared these findings with the results from a group of rats without pharmacological intervention (n = 10). All of the recordings were performed from 08:00 to 18:00 h. Data analysis: the electrographic parameters, head and body shake counting and monoamine concentrations were analyzed by an ANOVA test. Differences of *p ≤ 0.01 and **p ≤ 0.001 were considered statistically significant. Our results showed that CBZ exerted a protective effect on sleep pattern alterations induced by KA, which when administered alone caused a complete inhibition of sleep for the first 10 h after administration. Although there was a reduction in the amount of sleep after the administration of KA in CBZ-pretreated animals, sleep inhibition was incomplete. In addition, CBZ decreased the frequency of head and body shakes by 60% as compared to KA. The 5-HT and 5-HIAA levels in the pons were increased in the KA and KA + CBZ groups. Our conclusion is that in addition to decreasing seizure intensity, CBZ facilitates the partial recovery of sleep. These results suggest that CBZ provides neuro-protective effects on sleep and against seizures.     

E. coli outbreak in a neonate intensive care unit in a general hospital in Mexico City

Nosocomial infections are a major cause of morbidity and mortality among neonates admitted to neonatal intensive care units (NICUs). The aim of this paper was to describe an outbreak of Escherichia coli among infants admitted to the NICU of the General Hospital “Dr. Manuel Gea Gonzalez” in May of 2008. The isolated E. coli strains were identified using standard biochemical methods. The susceptibilities of these strains were analysed by determining their minimal inhibitory concentrations. Following this, their molecular relationships to each other were assessed by pulsed field gel electrophoresis (PFGE) analysis and corroborated by serology. Twelve E. coli strains were isolated from blood, urine, or indwelling catheter samples from five cases of preterm infants within a 3-day period. Patients were admitted to the NICU of the general hospital and, during the outbreak, developed sepsis caused by E. coli. For four of the patients, the average age was 23 days, while one patient was a 3-month-old infant. Prior to sepsis, the infants had received assisted ventilation and hyperalimentation through a central venous catheter. Two profiles were observed by PFGE; profile A was identified as the outbreak’s cause and an outcome of cross-infection, while profile B showed genetic differences but serologically it was identified as part of the same serotype. We conclude that E. coli colonised the patients through horizontal transmission. A focal source of the microorganism in this outbreak was not identified, but cross-transmission through handling was the most probable route.     

Electropolymerization molecularly imprinted polymer (E-MIP) SPR sensing of drug molecules: pre-polymerization complexed terthiophene and carbazole electroactive monomers

A novel chemosensitive ultrathin film with high selectivity was developed for the detection of naproxen, paracetamol, and theophylline using non-covalent electropolymerized molecular imprinted polymers (E-MIP). A series of monofunctional and bifunctional H-bonding terthiophene and carbazole monomers were compared for imprinting these drugs without the use of a separate cross-linker. A key step is the fast and efficient potentiostatic method of washing the template, which facilitated enhanced real-time sensing by surface plasmon resonance (SPR) spectroscopy. Various surface characterizations (contact angle, ellipsometry, XPS, AFM) of the E-MIP film verified the templating and release of the drug from the cross-linked conducting polymer film.     

Mathematical Modeling-Guided Evaluation of Biochemical,Developmental, Environmental,and Genotypic Determinants of Essential Oil Composition and Yield in Peppermint Leaves

We have previously reported the use of a combination of computational simulations and targeted experiments to build a first generation mathematical model of peppermint (Mentha × piperita) essential oil biosynthesis. Here, we report on the expansion of this approach to identify the key factors controlling monoterpenoid essential oil biosynthesis under adverse environmental conditions. We also investigated determinants of essential oil biosynthesis in transgenic peppermint lines with modulated essential oil profiles. A computational perturbation analysis, which was implemented to identify the variables that exert prominent control over the outputs of the model, indicated that the essential oil composition should be highly dependent on certain biosynthetic enzyme concentrations [(+)-pulegone reductase and (+)-menthofuran synthase], whereas oil yield should be particularly sensitive to the density and/or distribution of leaf glandular trichomes, the specialized anatomical structures responsible for the synthesis and storage of essential oils. A microscopic evaluation of leaf surfaces demonstrated that the final mature size of glandular trichomes was the same across all experiments. However, as predicted by the perturbation analysis, differences in the size distribution and the total number of glandular trichomes strongly correlated with differences in monoterpenoid essential oil yield. Building on various experimental data sets, appropriate mathematical functions were selected to approximate the dynamics of glandular trichome distribution/density and enzyme concentrations in our kinetic model. Based on a χ² statistical analysis, simulated and measured essential oil profiles were in very good agreement, indicating that modeling is a valuable tool for guiding metabolic engineering efforts aimed at improving essential oil quality and quantity.The essential oil distilled from peppermint (Mentha × piperita) leaves is used in numerous consumer products (e.g. chewing gum, toothpaste, and mouthwash), as a flavor in the confectionary and pharmaceutical industries, and as a source of active ingredients for aromatherapy. Peppermint oil consists primarily of p-menthane-type monoterpenes, with smaller amounts of other monoterpenes and very minor quantities of sesquiterpenes (Rohloff, 1999). The essential oil is synthesized and accumulated in specialized anatomical structures called peltate glandular trichomes (Gershenzon et al., 1989; McCaskill et al., 1992). These trichomes contain secretory cells, arranged in an eight-celled disc, which are responsible for the synthesis of the oil. Nascent essential oil is secreted into an emerging cavity formed by the separation of a preformed layer of cuticular material (Amelunxen, 1965). Over the last two decades, the entire complement of genes and enzymes involved in the peppermint monoterpenoid essential oil biosynthetic pathway has been characterized (for review, see Croteau et al., 2005).Transgenic peppermint plants have been generated in efforts aimed at modulating essential oil yield and composition. Mahmoud and Croteau (2001) reported that, by overexpressing the gene encoding 1-deoxy-d-xylulose 5-phosphate reductoisomerase (DXR), oil yield increases (compared with wild-type plants) of up to 50% were observed. Antisense suppression of the (+)-menthofuran synthase (MFS) gene led to a dramatic decrease in the amounts of the undesirable side product (+)-menthofuran (elite transgenic line designated MFS7a; Mahmoud and Croteau, 2001). A slight increase in overall monoterpene yields was reported for transgenic plants with increased expression levels of the gene encoding (−)-limonene synthase (LS; Diemer et al., 2001), whereas only negligible effects on yield were detected in an independent study (Krasnyansky et al., 1999). Transgenic plants overexpressing the gene coding for (−)-limonene 3-hydroxylase (L3H) did not accumulate increased levels of the recombinant protein, and the composition and yield of the essential oils were the same as in wild-type controls; however, cosuppression of the L3H gene resulted in a vastly increased accumulation of the intermediate (−)-limonene, without notable effects on oil yield (elite transgenic line designed L3H20; Mahmoud et al., 2004).Mathematical modeling can be a powerful tool to support metabolic engineering efforts, including those performed with peppermint. Stoichiometric modeling only requires knowledge of the topology of reactions in the pathway and inputs/outputs. This is a particularly useful approach to determine flux distributions and the systemic characteristics of metabolic networks (for review, see Llaneras and Picó, 2008). When experimental designs supporting metabolic and isotopic steady state are employed, isotope labeling data can be utilized for the development of quantitative flux maps of metabolic pathways (for review, see Libourel and Shachar-Hill, 2008). For dynamic systems, kinetic modeling is regarded as the generally most suitable method (McNeil et al., 2000; Poolman et al., 2004; Bruggeman and Westerhoff, 2006; Rios-Estepa and Lange, 2007; Mendes et al., 2009). Building on the rich body of published data on the enzymology and physiology of the peppermint monoterpene pathway (for review, see Croteau et al., 2005), we recently developed a first generation kinetic model to simulate the dynamics of peppermint monoterpene composition (Rios-Estepa et al., 2008). Modeling indicated that the monoterpene profiles observed in leaves of plants grown under low-light conditions could be explained if one assumed that (+)-menthofuran, a dead-end side product, acted as a heretofore unknown competitive inhibitor against (+)-pulegone, the primary substrate of the branch point enzyme (+)-pulegone reductase (PR; Fig. 1). Follow-up biochemical studies established that this prediction was correct (Rios-Estepa et al., 2008), thus illustrating the utility of an approach that integrates mathematical modeling with experimental testing.Open in a separate windowFigure 1.Outline of p-menthane monoterpene biosynthesis in peppermint glandular trichomes. The following enzymes are involved in this pathway: 1, 1-deoxy-d-xylulose 5-phosphate synthase; 2, 1-deoxy-d-xylulose 5-phosphate reductoisomerase; 3, 2C-methyl-d-erythritol 4-phosphate cytidyltransferase; 4, 4-(cytidine 5′-diphospho)-2C-methyl-d-erythritol kinase; 5, 2C-methyl-d-erythritol 2,4-cyclodiphosphate synthase; 6, (E)-4-hydroxy-3-methyl-but-2-enyl diphosphate synthase; 7, (E)-4-hydroxy-3-methyl-but-2-enyl diphosphate reductase; 8, isopentenyl diphosphate isomerase; 9, geranyl diphosphate synthase; 10, (−)-limonene synthase; 11, (−)-limonene 3-hydroxylase; 12, (−)-trans-isopiperitenol dehydrogenase; 13, (−)-trans-isopiperitenone reductase; 14, (+)-cis-isopulegone isomerase; 15, (+)-menthofuran synthase; 16a, (+)-pulegone reductase [(−)-menthone-forming activity]; 16b, (+)-pulegone reductase [(+)-isomenthone-forming activity]; 17a, (−)-menthone:(−)-menthol reductase [(−)-menthol-forming activity]; 17b, (−)-menthone:(−)-menthol reductase [(+)-neoisomenthol-forming activity]; 18a, (−)-menthone:(+)-neomenthol reductase [(+)-neomenthol-forming activity]; 18b, (−)-menthone:(+)-neomenthol reductase [(+)-isomenthol-forming activity]. The subcellular compartmentation of p-menthane metabolic enzymes is color coded as follows: Cyt (blue), cytosol; ER (orange), endoplasmic reticulum; Lpl (green), leucoplasts; Mit (red), mitochondria. The inhibitory effects of (+)-menthofuran on (+)-pulegone reductase and geranyl diphosphate on isopentenyl diphosphate isomerase are indicated by red arcs with orthogonal red lines. Names of selected metabolites are shown in the colors that are used to indicate the corresponding profiles in Figures 2 to 5​5​​.As part of this study, a computational perturbation analysis was used to predict factors with the potentially greatest impacts on peppermint essential oil yield and composition (specific biosynthetic enzymes and the density of oil-synthesizing trichomes). To test these modeling predictions experimentally, we first acquired biometric data with peppermint plants grown under several environmental conditions known to adversely affect oil accumulation (Burbott and Loomis, 1967; Clark and Menary, 1980) and the transgenic line MFS7a, for which an altered essential oil profile had been reported earlier (Mahmoud and Croteau, 2001). Building on these experimental data sets, we then developed a second generation model that accounts for biochemical, developmental, environmental, and genotypic factors of essential oil formation. This updated model was then used to simulate monoterpenoid essential oil profiles for the transgenic line MFS7a grown under low-light environmental stress conditions and the transgenic line L3H20, which had previously been shown to have vastly reduced expression levels of the gene encoding L3H. In both cases, simulated and measured monoterpene patterns were very similar, indicating that mathematical modeling has great potential for guiding efforts aimed at developing peppermint lines with high oil yields and favorable composition, even under adverse environmental conditions.