Identification of eRF3b,a Human Polypeptide Chain Release Factor with eRF3 Activity in vitroand in vivo

Termination of translation in eukaryotes is governed by the ribosome, a termination codon in the mRNA, and two polypeptide chain release factors (eRF1 and eRF3). We have identified a human protein of 628 amino acids, named eRF3b, which is highly homologous to the known human eRF3 henceforth named eRF3a. At the nucleotide and at the amino acid levels the human eRF3a and eRF3b are about 87% identical. The differences in amino acid sequence are concentrated near the amino terminus. The most important difference in the nucleotide sequence is that eRF3b lacks a GGC repeat close to the initiation codon in eRF3a. We have cloned the cDNA encoding the human eRF3b, purified the eRF3b expressed in Escherichia coli, and found that the protein is active in vitroas a potent stimulator of the release factor activity of human eRFl. Like eRF3a, eRF3b exhibits GTPase activity, which is ribosome- and eRFl-dependent. In vivoassays (based on suppression of readthrough induced by three species of suppressor tRNAs: amber, ochre, and opal) show that the human eRF3b is able to enhance the release factor activity of endogenous and overexpressed eRF1 with all three stop codons.     

Physiological acclimation dampens initial effects of elevated temperature and atmospheric CO2 concentration in mature boreal Norway spruce

Physiological processes of terrestrial plants regulate the land–atmosphere exchange of carbon, water, and energy, yet few studies have explored the acclimation responses of mature boreal conifer trees to climate change. Here we explored the acclimation responses of photosynthesis, respiration, and stomatal conductance to elevated temperature and/or CO₂ concentration ([CO₂]) in a 3‐year field experiment with mature boreal Norway spruce. We found that elevated [CO₂] decreased photosynthetic carboxylation capacity (?23% at 25 °C) and increased shoot respiration (+64% at 15 °C), while warming had no significant effects. Shoot respiration, but not photosynthetic capacity, exhibited seasonal acclimation. Stomatal conductance at light saturation and a vapour pressure deficit of 1 kPa was unaffected by elevated [CO₂] but significantly decreased (?27%) by warming, and the ratio of intercellular to ambient [CO₂] was enhanced (+17%) by elevated [CO₂] and decreased (?12%) by warming. Many of these responses differ from those typically observed in temperate tree species. Our results show that long‐term physiological acclimation dampens the initial stimulation of plant net carbon assimilation to elevated [CO₂], and of plant water use to warming. Models that do not account for these responses may thus overestimate the impacts of climate change on future boreal vegetation–atmosphere interactions.     

Feedback interactions between needle litter decomposition and rhizosphere activity

The aim of our study was to identify interactions between the decomposition of aboveground litter and rhizosphere activity. The experimental approach combined the placement of labelled litter (¹³C=–37.9) with forest girdling in a 35-year-old Norway spruce stand, resulting in four different treatment combinations: GL (girdled, litter), GNL (girdled, no litter), NGL (not girdled, litter), and NGNL (not girdled, no litter). Monthly sampling of soil CO₂ efflux and ¹³C of soil respired CO₂ between May and October 2002 allowed the partitioning of the flux into that derived from the labelled litter, and that derived from native soil organic matter and roots. The effect of forest girdling on soil CO₂ efflux was detectable from June (girdling took place in April), and resulted in GNL fluxes to be about 50% of NGNL fluxes by late August. The presence of litter resulted in significantly increased fluxes for the first 2 months of the experiment, with significantly greater litter derived fluxes from non-girdled plots and a significant interaction between girdling and litter treatments over the same period. For NGL collars, the additional efflux was found to originate only in part from litter decomposition, but also from the decay of native soil organic matter. In GL collars, this priming effect was not significant, indicating an active role of the rhizosphere in soil priming. The results therefore indicate mutual positive feedbacks between litter decomposition and rhizosphere activity. Soil biological analysis (microbial and fungal biomass) of the organic layers indicated greatest activity below NGL collars, and we suppose that this increase indicates the mechanism of mutual positive feedback between rhizosphere activity and litter decomposition. However, elimination of fresh C input from both above- and belowground (GNL) also resulted in greater fungal abundance than for the NGNL treatment, indicating likely changes in fungal community structure (i.e. a shift from symbiotic to saprotrophic species abundance).     

Reduction of a biochemical model with preservation of its basic dynamic properties

The complexity of full-scale metabolic models is a major obstacle for their effective use in computational systems biology. The aim of model reduction is to circumvent this problem by eliminating parts of a model that are unimportant for the properties of interest. The choice of reduction method is influenced both by the type of model complexity and by the objective of the reduction; therefore, no single method is superior in all cases. In this study we present a comparative study of two different methods applied to a 20D model of yeast glycolytic oscillations. Our objective is to obtain biochemically meaningful reduced models, which reproduce the dynamic properties of the 20D model. The first method uses lumping and subsequent constrained parameter optimization. The second method is a novel approach that eliminates variables not essential for the dynamics. The applications of the two methods result in models of eight (lumping), six (elimination) and three (lumping followed by elimination) dimensions. All models have similar dynamic properties and pin-point the same interactions as being crucial for generation of the oscillations. The advantage of the novel method is that it is algorithmic, and does not require input in the form of biochemical knowledge. The lumping approach, however, is better at preserving biochemical properties, as we show through extensive analyses of the models.     

Studies of the association of Arg72Pro of tumor suppressor protein p53 with type 2 diabetes in a combined analysis of 55,521 Europeans

Aims

A study of 222 candidate genes in type 2 diabetes reported association of variants in RAPGEF1, ENPP1, TP53, NRF1, SLC2A2, SLC2A4 and FOXC2 with type 2 diabetes in 4,805 Finnish individuals. We aimed to replicate these associations in a Danish case-control study and to substantiate any replicated associations in meta-analyses. Furthermore, we evaluated the impact on diabetes-related intermediate traits in a population-based sample of middle-aged Danes.

Methods

We genotyped nine lead variants in the seven genes in 4,973 glucose-tolerant and 3,612 type 2 diabetes Danish individuals. In meta-analyses we combined case-control data from the DIAGRAM+ Consortium (n = 47,117) and the present genotyping results. The quantitative trait studies involved 5,882 treatment-naive individuals from the Danish Inter99 study.

Results

None of the nine investigated variants were significantly associated with type 2 diabetes in the Danish samples. However, for all nine variants the estimate of increase in type 2 diabetes risk was observed for the same allele as previously reported. In a meta-analysis of published and online data including 55,521 Europeans the G-allele of rs1042522 in TP53 showed significant association with type 2 diabetes (OR = 1.06 95% CI 1.02–1.11, p = 0.0032). No substantial associations with diabetes-related intermediary phenotypes were found.

Conclusion

The G-allele of TP53 rs1042522 is associated with an increased prevalence of type 2 diabetes in a combined analysis of 55,521 Europeans.     

Identification of a novel termination release factor eRF3b expressing the eRF3 activity in vitro and in vivo

Termination of translation in eukaryotes is governed by the ribosome, a termination codon in the mRNA, and two polypeptide chain release factors (eRF1 and eRF3). We have identified a human protein of 628 amino acids, named eRF3b, which is highly homologous to the known human eRF3 henceforth named eRF3a. At the nucleotide and at the amino acid levels the human eRF3a and eRF3b are about 87% identical. The differences in amino acid sequence are concentrated near the amino terminus. The most important difference in the nucleotide sequence is that eRF3b lacks a GGC repeat close to the initiation codon in eRF3a. We have cloned the cDNA encoding the human eRF3b, purified the eRF3b expressed in Escherichia coli, and found that the protein is active in vitro as a potent stimulator of the release factor activity of human eRFl. Like eRF3a, eRF3b exhibits GTPase activity, which is ribosome- and eRFl-dependent. In vivo assays (based on suppression of readthrough induced by three species of suppressor tRNAs: amber, ochre, and opal) show that the human eRF3b is able to enhance the release factor activity of endogenous and overexpressed eRFl with all three stop codons.     

Single vesicle assaying of SNARE-synaptotagmin-driven fusion reveals fast and slow modes of both docking and fusion and intrasample heterogeneity

Lipid mixing between vesicles functionalized with SNAREs and the cytosolic C2AB domain of synaptotagmin-1 recapitulates the basic Ca²⁺ dependence of neuronal exocytosis. However, in the conventional ensemble lipid mixing assays it is not possible to discriminate whether Ca²⁺ accelerates the docking or the fusion of vesicles. Here we report a fluorescence microscopy-based assay to monitor SNARE-mediated docking and fusion of individual vesicle pairs. In situ measurement of the concentration of diffusing particles allowed us to quantify docking rates by a maximum-likelihood approach. This analysis showed that C2AB and Ca²⁺ accelerate vesicle-vesicle docking with more than two orders of magnitude. Comparison of the measured docking rates with ensemble lipid mixing kinetics, however, suggests that in most cases bilayer fusion remains the rate-limiting step. Our single vesicle results show that only ∼60% of the vesicles dock and only ∼6% of docked vesicles fuse. Lipid mixing on single vesicles was fast (t_mix < 1 s) while an ensemble assay revealed two slow mixing processes with t_mix ∼ 1 min and t_mix ∼ 20 min. The presence of several distinct docking and fusion pathways cannot be rationalized at this stage but may be related to intrasample heterogeneities, presumably in the form of lipid and/or protein composition.     

Directed evolution of a bacterial efflux pump: adaptation of the E. coli TolC exit duct to the Pseudomonas MexAB translocase

Bacterial multidrug efflux pumps operate by periplasmic recruitment and opening of TolC family outer membrane exit ducts by cognate inner membrane translocases. Directed evolution of active hybrid pumps was achieved by challenging a library of mutated, shuffled TolC variants to adapt to the non-cognate Pseudomonas MexAB translocase, and confer resistance to the efflux substrate novobiocin. Amino acid substitutions in MexAB-adapted TolC variants that endowed high resistance were recreated independently, and revealed that MexAB-adaptation was conferred only by substitutions located in the lower alpha-helical barrel of TolC, specifically the periplasmic equatorial domain and entrance coiled coils. These changes converge to the native MexAB partner OprM, and indicate an interface key to the function and diversity of efflux pumps.