Bacteria associated with a marine planktonic copepod in culture. I. Bacterial genera in seawater, body surface, intestines and fecal pellets and succession during fecal pellet degradation

In laboratory experiments, the bacterial flora of the zooplanktonmicrobial environments seawater, fecal pellets and associatedwith the external and internal surfaces of the copepod Acartiatonsa(Dana) were examined. The bacteria associated with fecal pelletswere dominated by Bacillus spp., Cytophaga/Flavobacterium spp.,Vibrio spp. and Pseudomonas spp. The same genera were foundin the seawater (0.22 7mu;m filtered) in which the pellets wereincubated. The bacteria showed a characteristic growth succession,and the abundance increased several orders of magnitude in theseawater during incubation of the pellets, indicating growthand proliferation based on the disintegrating/degrading fecalpellets. A carbon budget calculation revealed that organic matterfrom degrading fecal pellets could cover the carbon demand forthe growing bacterioplankton. The composition of the bacterialcommunity in the seawater and the fecal pellets also indicateda colonization of the pellets from bacterioplankton. The compositionof the bacteria associated with the copepods showed that bacterialgenera characterized as surface associated were preferentiallyassociated with fecal pellets, animal surfaces and intestines.This suggests a specific intestinal flora in the cultivatedcopepods composed of 10³ culturable bacteria per intestine (colony-formingunits, c.f.u.) or 10⁵ bacteria per intestine (acridine orangedirect counts, AODC), possibly colonizing the intestine passivelyduring filtration of algae. The activity of the bacterial communitieswas examined by the numencal ratio c.f.u.:AODC, where 1–19%of the bacteria were found active, with no significant differencebetween microbial environments.     

Capacity of Lemna gibba L. (duckweed) for uranium and arsenic phytoremediation in mine tailing waters

The potential of Lemna gibba L. to clean uranium and arsenic contamination from mine surface waters was investigated in wetlands of two former uranium mines in eastern Germany and in laboratory hydroponic culture. Water and plants were sampled and L gibba growth and yield were monitored in tailing ponds from the field study sites. Contaminant accumulation, growth and yield experiments were conducted in the laboratory using synthetic tailing water. Mean background concentrations of the surface waters were 186.0+/-81.2 microg l(-1) uranium and 47.0+/-21.3 microg l(-1) arsenic in Site one and 293.7+/-121.3 microg l(-1) uranium and 41.37+/-24.7 microg l(-1) arsenic in Site two. The initial concentration of both uranium and arsenic in the culture solutions was 100 microg l(-1). The plant samples were either not leached, leached with deionized H2O or ethylenediaminetetracetic (EDTA). The results revealed high bioaccumulation coefficients for both uranium and arsenic. Uranium and arsenic content of L gibba dry biomass of the field samples were as follows: nonleached samples > deionized H2O leached (insignificant ANOVA p = 0.05) > EDTA leached. The difference in both arsenic and uranium enrichment were significantly high between the nonleached and the other two lead samples tested at ANOVA p > 0.001. Estimated mean L gibba density in surface water was 85,344.8+/-1843.4 fronds m(-2) (approximately 1319.7 g m(-2)). The maximum specific growth rate was 0.47+/-0.2 d(-1), which exceeded reported specific growth rates for L gibba in the literature. Average yield was estimated at 20.2+/-6.7 g m(-2) d(-1), giving approximately 73.6+/-21.4 t ha(-1) y(-1) as the annual yield. The highest accumulations observed were 896.9+/-203.8 mg kg(-1) uranium and 1021.7+/-250.8 mg kg(-1) arsenic dry biomass for a 21-d test period in the laboratory steady-state experiments. The potential extractions from surface waters with L gibba L. were estimated to be 662.7 kg uranium ha(-1) yr(-1) and 751.9 kg arsenic ha(-1) yr(-1) under the above conditions.     

Derangement of Hypothetical Proteins in Fetal Down's Syndrome Brain

The success of the Human Genome Project (HGP) enables prediction of proteins by computer programs from nucleic acid sequences and for which there is no experimental evidence. Clues for function of hypothetical proteins are provided by sequence similarity with proteins of known function in model organisms. The availability of this bulk of new data is of immediate importance to Down's syndrome (DS) research. DS is the most common human chromosomal abnormality caused by an extra copy of chromosome 21 and is characterized by somatic anomalies and mental retardation. In addition, overexpression of chromosome 21 genes is directly or indirectly responsible for mental retardation and other phenotypic abnormalities of DS. To allow insight into how trisomy 21 represents the phenotype of DS, we constructed a two-dimensional protein map and investigated expression of 8 hypothetical proteins in fetal DS (n = 7) and control (n = 7) brains (cortex). Two-dimensional electrophoresis (2-DE) with subsequent in-gel digestion of spots and matrix-assisted laser desorption/ionization (MALDI) spectroscopic identification followed by quantification of spots with specific software was applied. Quantitative analysis of hypothetical protein FLJ10849, hypothetical protein FLJ20113, and activator of hsp90 ATPase homologue 1 (AHA1) revealed levels comparable between DS and controls. By contrast, expression levels of hypothetical protein KIAA1185, hypothetical protein 55.2 kDa, hypothetical protein 58.8 kDa, actin-related protein 3beta (ARP3beta), and putative GTP-binding protein PTD004 were significantly decreased (P < 0.05) in fetal DS brain, and domain analysis suggests involvement in cytoskeleton, signaling, and chaperone system abnormalities.     

Evoked Emotions Predict Food Choice

In the current study we show that non-verbal food-evoked emotion scores significantly improve food choice prediction over merely liking scores. Previous research has shown that liking measures correlate with choice. However, liking is no strong predictor for food choice in real life environments. Therefore, the focus within recent studies shifted towards using emotion-profiling methods that successfully can discriminate between products that are equally liked. However, it is unclear how well scores from emotion-profiling methods predict actual food choice and/or consumption. To test this, we proposed to decompose emotion scores into valence and arousal scores using Principal Component Analysis (PCA) and apply Multinomial Logit Models (MLM) to estimate food choice using liking, valence, and arousal as possible predictors. For this analysis, we used an existing data set comprised of liking and food-evoked emotions scores from 123 participants, who rated 7 unlabeled breakfast drinks. Liking scores were measured using a 100-mm visual analogue scale, while food-evoked emotions were measured using 2 existing emotion-profiling methods: a verbal and a non-verbal method (EsSense Profile and PrEmo, respectively). After 7 days, participants were asked to choose 1 breakfast drink from the experiment to consume during breakfast in a simulated restaurant environment. Cross validation showed that we were able to correctly predict individualized food choice (1 out of 7 products) for over 50% of the participants. This number increased to nearly 80% when looking at the top 2 candidates. Model comparisons showed that evoked emotions better predict food choice than perceived liking alone. However, the strongest predictive strength was achieved by the combination of evoked emotions and liking. Furthermore we showed that non-verbal food-evoked emotion scores more accurately predict food choice than verbal food-evoked emotions scores.     

Molecular docking using surface complementarity

A method is described to dock a ligand into a binding site in a protein on the basis of the complementarity of the inter-molecular atomic contacts. Docking is performed by maximization of a complementarity function that is dependent on atomic contact surface area and the chemical properties of the contacting atoms. The generality and simplicity of the complementarity function ensure that a wide range of chemical structures can be handled. The ligand and the protein are treated as rigid bodies, but displacement of a small number of residues lining the ligand binding site can be taken into account. The method can assist in the design of improved ligands by indicating what changes in complementarity may occur as a result of the substitution of an atom in the ligand. The capabilities of the method are demonstrated by application to 14 protein–ligand complexes of known crystal structure. © 1996 Wiley Liss, Inc.     

Binding of bufuralol, dextromethorphan, and 3,4-methylenedioxymethylamphetamine to wild-type and F120A mutant cytochrome P450 2D6 studied by resonance Raman spectroscopy

Cytochrome P450 2D6 (CYP2D6) is one of the most important drug-metabolizing enzymes in humans. Resonance Raman data, reported for the first time for CYP2D6, show that the CYP2D6 heme is found to be in a six-coordinated low-spin state in the absence of substrates, and it is perturbed to different extents by bufuralol, dextromethorphan, and 3,4-methylenedioxymethylamphetamine (MDMA). Dextromethorphan and MDMA induce in CYP2D6 a significant amount of five-coordinated high-spin heme species and reduce the polarity of its heme-pocket, whereas bufuralol does not. Spectra of the F120A mutant CYP2D6 suggest that Phe120 is involved in substrate-binding of dextromethorphan and MDMA, being responsible for the spectral differences observed between these two compounds and bufuralol. These differences could be explained postulating a different substrate mobility for each compound in the CYP2D6 active site, consistently with the role previously suggested for Phe120 in binding dextromethorphan and MDMA.