Fluorescence-based directed termination PCR: direct mutation characterization without sequencing

We describe a fluorescence-based directed termination PCR (fluorescent DT–PCR) that allows accurate determination of actual sequence changes without dideoxy DNA sequencing. This is achieved using near infrared dye-labeled primers and performing two PCR reactions under low and unbalanced dNTP concentrations. Visualization of resulting termination fragments is accomplished with a dual dye Li-cor DNA sequencer. As each DT–PCR reaction generates two sets of terminating fragments, a pair of complementary reactions with limiting dATP and dCTP collectively provide information on the entire sequence of a target DNA, allowing an accurate determination of any base change. Blind analysis of 78 mutants of the supF reporter gene using fluorescent DT–PCR not only correctly determined the nature and position of all types of substitution mutations in the supF gene, but also allowed rapid scanning of the signature sequences among identical mutations. The method provides simplicity in the generation of terminating fragments and 100% accuracy in mutation characterization. Fluorescent DT–PCR was successfully used to generate a UV-induced spectrum of mutations in the supF gene following replication on a single plate of human DNA repair-deficient cells. We anticipate that the automated DT–PCR method will serve as a cost-effective alternative to dideoxy sequencing in studies involving large-scale analysis for nucleotide sequence changes.     

The N-terminal coiled coil of the Rhodococcus erythropolis ARC AAA ATPase is neither necessary for oligomerization nor nucleotide hydrolysis

Deletion mutants of the Rhodococcus erythropolis ARC AAA ATPase were generated and characterized by biochemical analysis and electron microscopy. Based on sequence comparisons the ARC protein was divided into three consecutive regions, the N-terminal coiled coil, the central ARC-specific inter domain and the C-terminal AAA domain. When the ARC AAA domain was expressed separately it formed aggregates of undefined structure. However, when the AAA domain was expressed in conjunction with the preceeding inter domain, but without the N-terminal coiled coil, high-molecular weight-complexes were formed (ARC-DeltaCC) which showed an [Formula: see text] -ethylmaleimide-sensitive ATPase activity. In 2D crystallization experiments the ARC-DeltaCC particles yielded crystals nearly identical to those formed by the wild-type ARC complexes. Thus, the N-terminal coiled coil, which was proposed to have a role in the assembly of and/or interaction between the eukaryotic AAA ATPases in the 26S proteasome, is neither essential for assembly nor for ATP hydrolysis of the ARC ATPase. The N-terminal domain of related AAA ATPases mediates the interaction with substrates or co-factors, suggesting a regulatory function for the N-terminal coiled coil of the ARC ATPase. Surprisingly, the mutant ARC protein ARC-DeltaAAA consisting of the N-terminal coiled coil and the central inter domain, but deleted for the C-terminal AAA domain, was shown to form a dodecameric complex with sixfold symmetry. This suggests an important role of the inter domain for the ordered assembly of the ARC ATPase.     

3-Methyladenine-DNA glycosylase (MPG protein) interacts with human RAD23 proteins

Human 3-methyladenine-DNA glycosylase (MPG protein) initiates base excision repair by severing the glycosylic bond of numerous damaged bases. In comparison, homologues of the Rad23 proteins (hHR23) and the hXPC protein are involved in the recognition of damaged bases in global genome repair, a subset of nucleotide excision repair. In this report, we show that the hHR23A and -B also interact with the MPG protein and can serve as accessory proteins for DNA damage recognition in base excision repair. Furthermore, the MPG.hHR23 protein complex elevates the rate of MPG protein-catalyzed excision from hypoxanthine-containing substrates. This increased excision rate is correlated with a greater binding affinity of the MPG protein-hHR23 protein complex for damaged DNA. These data suggest that the hHR23 proteins function as universal DNA damage recognition accessory proteins in both of these major excision repair pathways.     

Current status, strategies, and potential for the metabolic engineering of heterologous polyketides in Escherichia coli

Heterologous natural product biosynthesis has emerged as a strategy to produce medicinal compounds that pose challenges to conventional production routes. Polyketide compounds, an important class of natural products with wide-ranging therapeutic value, have been heterologously produced through Escherichia coli, presenting new opportunities to realize the medicinal potential of polyketide natural products. However, current production levels are often suboptimal when compared to native strain producers or heterologous theoretical yields. This problem provides an excellent opportunity to apply and further develop current metabolic engineering tools.     

Structural model of the gas vesicle protein GvpA and analysis of GvpA mutants in vivo

Gas vesicles are gas-filled protein structures increasing the buoyancy of cells. The gas vesicle envelope is mainly constituted by the 8 kDa protein GvpA forming a wall with a water excluding inner surface. A structure of GvpA is not available; recent solid-state NMR results suggest a coil-α-β-β-α-coil fold. We obtained a first structural model of GvpA by high-performance de novo modelling. Attenuated total reflection (ATR)-Fourier transform infrared spectroscopy (FTIR) supported this structure. A dimer of GvpA was derived that could explain the formation of the protein monolayer in the gas vesicle wall. The hydrophobic inner surface is mainly constituted by anti-parallel β-strands. The proposed structure allows the pinpointing of contact sites that were mutated and tested for the ability to form gas vesicles in haloarchaea. Mutations in α-helix I and α-helix II, but also in the β-turn affected the gas vesicle formation, whereas other alterations had no effect. All mutants supported the structural features deduced from the model. The proposed GvpA dimers allow the formation of a monolayer protein wall, also consistent with protease treatments of isolated gas vesicles.     

Recommendations for improving statistical inference in population genomics

The field of population genomics has grown rapidly in response to the recent advent of affordable, large-scale sequencing technologies. As opposed to the situation during the majority of the 20th century, in which the development of theoretical and statistical population genetic insights outpaced the generation of data to which they could be applied, genomic data are now being produced at a far greater rate than they can be meaningfully analyzed and interpreted. With this wealth of data has come a tendency to focus on fitting specific (and often rather idiosyncratic) models to data, at the expense of a careful exploration of the range of possible underlying evolutionary processes. For example, the approach of directly investigating models of adaptive evolution in each newly sequenced population or species often neglects the fact that a thorough characterization of ubiquitous nonadaptive processes is a prerequisite for accurate inference. We here describe the perils of these tendencies, present our consensus views on current best practices in population genomic data analysis, and highlight areas of statistical inference and theory that are in need of further attention. Thereby, we argue for the importance of defining a biologically relevant baseline model tuned to the details of each new analysis, of skepticism and scrutiny in interpreting model fitting results, and of carefully defining addressable hypotheses and underlying uncertainties.

Genomic data are now being produced at a far greater rate than they can be meaningfully analyzed and interpreted, leading to some questionable use of statistical models. In this Consensus View, the authors provide recommendations for current best practices in population genomic data analysis and highlight areas of statistical inference and theory that are in need of further attention.     

Effect of relative humidity of hot air on the heat resistance of Bacillus cereus spores

The heat resistance to hot air of spores of Bacillus cereus (ATCC 14579) attached to carriers of stainless steel or silicone rubber was investigated in a range from 1% to 100% relative humidity (RH). Apart from an initial stage, linear survivor curves were obtained for all relative humidities. Neither the attachment itself nor the material of the carrier had an influence on the resistance. A distinct maximum of heat resistance was found at 40% RH. At 122°C the rate constants at 40% RH were five orders of magnitude smaller than at 100% RH and two orders of magnitude smaller than at 1% RH. At relative humidities of more than 40% the rate constants were strongly temperature dependent, whereas at lower relative humidities they were less temperature dependent. No significant influence of the relative humidity on the Arrhenius activation energy was found within each humidity range. The mean values were 295 kJ mol^-1 for relative humidities of 60% to 100% RH and 165 kJ mol^-1 for 1% to 20% RH. The occurrence of a maximum is ascribed to the existence of two inactivation mechanisms, the first is retarded and the second is accelerated by a reduction of relative humidity. It is assumed that the first mechanism is a protein denaturation. The second mechanism may be an oxidative process.     

Multivariate multiple test procedures based on nonparametric copula estimation

Multivariate multiple test procedures have received growing attention recently. This is due to the fact that data generated by modern applications typically are high‐dimensional, but possess pronounced dependencies due to the technical mechanisms involved in the experiments. Hence, it is possible and often necessary to exploit these dependencies in order to achieve reasonable power. In the present paper, we express dependency structures in the most general manner, namely, by means of copula functions. One class of nonparametric copula estimators is constituted by Bernstein copulae. We extend previous statistical results regarding bivariate Bernstein copulae to the multivariate case and study their impact on multiple tests. In particular, we utilize them to derive asymptotic confidence regions for the family‐wise error rate (FWER) of multiple test procedures that are empirically calibrated by making use of Bernstein copulae approximations of the dependency structure among the test statistics. This extends a similar approach by Stange et al. (2015) in the parametric case. A simulation study quantifies the gain in FWER level exhaustion and, consequently, power that can be achieved by exploiting the dependencies, in comparison with common threshold calibrations like the Bonferroni or ?idák corrections. Finally, we demonstrate an application of the proposed methodology to real‐life data from insurance.