Architecture and growth of an annual plant <Emphasis Type="Italic">Chenopodium album</Emphasis> in different light climates

Light climates strongly influence plant architecture and mass allocation. Using the metamer concept, we quantitatively described branching architecture and growth of Chenopodium album plants grown solitarily or in a dense stand. Metamer is a unit of plant construction that is composed of an internode and the upper node with a leaf and a subtended axillary bud. The number of metamers on the main-axis stem increased with plant growth, but did not differ between solitary and dense-stand plants. Solitary plants had shorter thicker internodes with branches larger in size and number than the plant in the dense stand. Leaf area on the main stem was not different. Larger leaf area in solitary plants was due to a larger number of leaves on branches. Leaf mass per area (LMA) was higher in solitary plants. It did not significantly differ between the main axis and branches in solitary plants, whereas in the dense stand it was smaller on branches. Dry mass was allocated most to leaves in solitary plants and to stems in the dense stand in vegetative growth. Reproductive allocation was not significantly different. Branch/main stem mass ratio was higher in solitary than dense-stand plants, and leaf/stem mass ratio higher in branches than in the main axis. Nitrogen use efficiency (NUE) (dry mass growth per unit N uptake) was higher and light use efficiency (LUE) (dry mass growth per unit light interception) was lower in the plant grown solitarily than in the dense stand.     

Metabolomic analysis of a synthetic metabolic switch in Streptomyces coelicolor A3(2)

The global analysis of metabolism by liquid chromatography coupled to mass spectrometry is often hampered by a large amount of biological and technical variability. Here, we introduce an experimental and analytical strategy that can produce robust metabolome profiles in the face of this challenge. By applying a new computational approach based on concordance analysis to an extremely large number of analytical replicates, we are able to show that the overexpression of an antisense non-coding RNA targeting glutamine synthetase I results in a major reorganization of the metabolism of Streptomyces coelicolor, the model species of antibiotic-producing bacteria. We identified 97 metabolites with statistically significant reproducible dynamic behavior across the time series. The observed metabolic changes are very rapid, specific and widespread across metabolism, but focus on the nitrogen assimilation pathways. Our results demonstrate the power of highly replicated experimental designs for the robust characterization of metabolite dynamics. The identified global rearrangement of metabolism suggests the usefulness of RNA interference as an efficient strategy to manipulate the physiology of bacteria with wider biotechnological applicability in microorganisms.     

Purification and characterization of beta-N-acetylhexosaminidase from maize seedlings

Enzymatic activity of beta-N-acetyhexosaminidase (EC 3.2.1.52) was analysed in seeds and young seedings of maize (Zea mays) using di-N-acetylchitobiose as a substrate. Substantial activity was detected in dry seeds. Activity increased before germination (48 h) but exclusively in the embryo. In seedlings, most of the activity was found in the scutellum, and lower levels in shoots and roots immediately after germination. An isoform of the enzyme was purified from scutellum (72 h after the start of imbibition) by heat treatment of crude extract and four steps of chromatography. Purified beta-N-acetyl-hexosaminidase showed a single band on SDS-PAGE of around 70 kDa. This was almost the same as the molecular weight estimated by size exclusion chromatography, indicating a monomeric form of the active enzyme. The relative activity of the enzyme for di-N-acetylchitobiose was about 15 times greater than that for p-nitrophenyl-N-acetylglucosaminide or p-nitrophenyl-N-acetylgalactosaminide. Analysis of the reaction with oligo-N-acetylchitooliogsaccharides [(GlcNAc)n] revealed an exotype enzyme producing predominantly (GlcNAc)n-1 and N-acetylglucosamine. The optimum pH, temperature, and isoelectric point (pl) were 4.5, 55 degrees C, and 6.75, respectively. The activity was almost completely inhibited in the presence of 5 mmol/L Ag+, Hg2+, or Fe3+.     

Cloning and expression of a highly active recombinant alkaline phosphatase from psychrotrophic Cobetia marina

Alkaline phosphatase catalyzes the hydrolysis of phosphomonoesters and is widely used in molecular biology techniques and clinical diagnostics. We expressed a recombinant alkaline phosphatase of the marine bacterium, Cobetia marina, in Escherichia coli BL21 (DE3). The recombinant protein was purified with a specific activity of 12,700 U/mg protein, which is the highest activity reported of any bacterial alkaline phosphatase studied to date. The molecular mass of the recombinant protein was 55–60 kDa, as determined by SDS–PAGE, and was observed to be a dimer by gel filtration analysis. The enzyme was optimally active at 45°C and the recombinant alkaline phosphatase efficiently hydrolyzed a phosphoric acid ester in luminescent and fluorescent substrates. Therefore, this enzyme can be considered to be extremely useful as a label conjugated to an antibody.     

Receptor‐dependent regulation of dendrite formation of noradrenaline and dopamine in non‐gabaergic cerebral cortical neurons

The present study characterized the receptor‐dependent regulation of dendrite formation of noradrenaline (NA) and dopamine (DA) in cultured neurons obtained from embryonic day 16 rat cerebral cortex. Morphological diversity of cortical dendrites was analyzed on various features: dendrite initiation, dendrite outgrowth, and dendrite branching. Using a combination of immunocytochemical markers of dendrites and GABAergic neurons, we focused on the dendrite morphology of non‐GABAergic neurons. Our results showed that (1) NA inhibited the dendrite branching, (2) β adrenergic receptor (β‐AR) agonist inhibited the dendrite initiation, while promoted the dendrite outgrowth, (3) β1‐AR and β2‐AR were present in all the cultured neurons, and both agonists inhibited the dendrite initiation, while only β1‐AR agonist induced the dendrite branching; (4) DA inhibited the dendrite outgrowth, (5) D1 receptor agonist inhibited the dendrite initiation, while promoted the dendrite branching. In conclusion, this study compared the effects of NA, DA and their receptors and showed that NA and DA regulate different features on the dendrite formation of non‐GABAergic cortical neurons, depending on the receptors. © 2012 Wiley Periodicals, Inc. Develop Neurobiol 73: 370–383, 2013     

Effect of environmental conditions on the α-glucosidase inhibitory activity of mulberry leaves

Mulberry leaves have been used as the sole food for silkworms in sericulture, and also as a traditional medicine for diabetes prevention. Mulberry leaf components, for example 1-deoxynojirimycin (1-DNJ), inhibit the activity of α-glucosidase and prevent increased blood glucose levels, and they are highly toxic to caterpillars other than silkworms. The α-glucosidase inhibitory activity of mulberry leaves changes with the season, but it is unknown which environmental conditions influence the α-glucosidase inhibitory activity. We investigated in this study the relationship between the α-glucosidase inhibitory activity and environmental conditions of temperature and photoperiod. The results demonstrate that low temperatures induced decreasing α-glucosidase inhibitory activity, while the induction of newly grown shoots by the scission of branches induced increasing α-glucosidase inhibitory activity. These results suggest that the α-glucosidase inhibitory activity was related to the defense mechanism of mulberry plants against insect herbivores.     

Characterization of Mesorhizobium loti L-rhamnose isomerase and its application to L-talose production

The L-rhamnose isomerase gene (rhi) of Mesorhizobium loti was cloned and expressed in Escherichia coli, and then characterized. The enzyme exhibited activity with respect to various aldoses, including D-allose and L-talose. Application of it in L-talose production from galactitol was achieved by a two-step reaction, indicating that it can be utilized in the large-scale production of L-talose.     

αvβ3-Integrin-targeting lanthanide complex: synthesis and evaluation as a tumor-homing luminescent probe

The application of lanthanide complexes in the time-resolved fluorescence imaging of living cells has emerged in the last few decades, providing high-contrast images of cells through detection of the delayed emission. In the present study, we synthesized novel trivalent lanthanide complexes containing the cyclic peptide c(RGDfK) to visualize the α_vβ₃-integrin-expressing tumor cells. Conjugation of c(RGDfK) with the macrocyclic bipyridine ligand had little effect on the fluorescence properties of the complex, indicating that the coordinated lanthanide ion was well isolated from the peptide. Bright luminescence images of α_vβ₃-integrin-expressing U87-MG cells were successfully obtained by employing the probes.     

Separating the wheat from the chaff: a prioritisation pipeline for the analysis of metabolomics datasets

Liquid Chromatography Mass Spectrometry (LC-MS) is a powerful and widely applied method for the study of biological systems, biomarker discovery and pharmacological interventions. LC-MS measurements are, however, significantly complicated by several technical challenges, including: (1) ionisation suppression/enhancement, disturbing the correct quantification of analytes, and (2) the detection of large amounts of separate derivative ions, increasing the complexity of the spectra, but not their information content. Here we introduce an experimental and analytical strategy that leads to robust metabolome profiles in the face of these challenges. Our method is based on rigorous filtering of the measured signals based on a series of sample dilutions. Such data sets have the additional characteristic that they allow a more robust assessment of detection signal quality for each metabolite. Using our method, almost 80% of the recorded signals can be discarded as uninformative, while important information is retained. As a consequence, we obtain a broader understanding of the information content of our analyses and a better assessment of the metabolites detected in the analyzed data sets. We illustrate the applicability of this method using standard mixtures, as well as cell extracts from bacterial samples. It is evident that this method can be applied in many types of LC-MS analyses and more specifically in untargeted metabolomics.