Evaluation of bactericidal effects of low-temperature nitrogen gas plasma towards application to short-time sterilization

To develop a novel low-temperature plasma sterilizer using pure N(2) gas as a plasma source, we evaluated bactericidal ability of a prototype apparatus provided by NGK Insulators. After determination of the sterilizing conditions without the cold spots, the D value of the BI of Geobacillus stearothermophilus endospores on the filter paper was determined as 1.9 min. However, the inactivation efficiency of BI carrying the same endospores on SUS varied to some extent, suggesting that the bactericidal effect might vary by materials of sterilized instruments. Staphylococcus aureus and Escherichia coli were also exposed to the N(2) gas plasma and confirmed to be inactivated within 30 min. Through the evaluation of bactericidal efficiency in a sterilization bag, we concluded that the UV photons in the plasma and the high-voltage pulse to generate the gas plasma were not concerned with the bactericidal effect of the N(2) gas plasma. Bactericidal effect might be exhibited by activated nitrogen atoms or molecular radicals.     

Temperature and solvent dependence of the dynamical landscape of tau protein conformations

We report the variation with temperature of the ensemble distribution of conformations spanned by the tau protein in its dynamical states measured by small-angle X-ray scattering (SAXS) using synchrotron radiation. The SAXS data show a clear temperature variation of the distribution of occupied protein conformations from 293 to 318 K. More conformations with a smaller radius of gyration are occupied at higher temperature. The protein–solvent interactions are shown by computer simulation to be essential for controlling the dynamics of protein conformations, providing evidence for the key role of water solvent in the protein dynamics, as proposed by Giorgio Careri.     

Time‐Varying Latent Effect Model for Longitudinal Data with Informative Observation Times

Summary In analysis of longitudinal data, it is not uncommon that observation times of repeated measurements are subject‐specific and correlated with underlying longitudinal outcomes. Taking account of the dependence between observation times and longitudinal outcomes is critical under these situations to assure the validity of statistical inference. In this article, we propose a flexible joint model for longitudinal data analysis in the presence of informative observation times. In particular, the new procedure considers the shared random‐effect model and assumes a time‐varying coefficient for the latent variable, allowing a flexible way of modeling longitudinal outcomes while adjusting their association with observation times. Estimating equations are developed for parameter estimation. We show that the resulting estimators are consistent and asymptotically normal, with variance–covariance matrix that has a closed form and can be consistently estimated by the usual plug‐in method. One additional advantage of the procedure is that it provides a unified framework to test whether the effect of the latent variable is zero, constant, or time‐varying. Simulation studies show that the proposed approach is appropriate for practical use. An application to a bladder cancer data is also given to illustrate the methodology.     

Fungi are involved in the effects of litter mixtures on consumption by shredders

1. Decomposition of litter mixtures in both terrestrial and aquatic ecosystems often shows non‐additive diversity effects on decomposition rate, generally interpreted in streams as a result of the feeding activity of macroinvertebrates. The extent to which fungal assemblages on mixed litter may influence consumption by macroinvertebrates remains unknown. 2. We assessed the effect of litter mixing on all possible three‐species combinations drawn from four tree species (Alnus glutinosa, Betula pendula, Juglans regia and Quercus robur) on both fungal assemblages and the rate of litter consumption by a common shredder, Gammarus fossarum. After a 9‐week inoculation in a stream, batches of leaf discs were taken from all leaf species within litter mixture combinations. Ergosterol, an indicator of fungal biomass, and the composition of fungal assemblages, assessed from the conidia released, were determined, and incubated litter offered to G. fossarum in a laboratory‐feeding experiment. 3. Mixing leaf litter species enhanced both the Simpson’s index of the fungal assemblage and the consumption of litter by G. fossarum, but had no clear effect on mycelial biomass. Specifically, consumption rates of J. regia were consistently higher for mixed‐species litter packs than for single‐species litter. In contrast, the consumption rates of B. pendula were not affected by litter mixing, because of the occurrence of both positive and negative litter‐mixing effects in different litter species combinations that counteracted each other. 4. In some litter combinations, the greater development of some fungal species (e.g. Clavariopsis aquatica) as shown by higher sporulation rates coincided with increased leaf consumption, which may have resulted from feeding preferences by G. fossarum for these fungi. 5. Where litter mixture effects on decomposition rate are mediated via shredder feeding, this could be due to indirect effects of the fungal assemblage.     

A Report of the James Watson Lecture at Yale University

In March 2012, Nobel Prize winner James Watson gave a seminar at Yale University entitled “Driven by Ideas.” In his lecture, Watson discussed his personal vision for the future of science, specifically addressing how the scientific community should approach developing anticancer agents. He discussed the use of glycolytic inhibitors as anticancer agents due to the Warburg effect, as well as the benefits of metformin and anti-inflammatory drugs to help prevent cancer. He also compared drugs that target cell proliferation instead of targeting cell growth. Additionally, Watson commented on the mechanisms for how research should be conducted in the laboratory.     

The benefit of being a social butterfly: communal roosting deters predation

Aposematic passion-vine butterflies from the genus Heliconius form communal roosts on a nightly basis. This behaviour has been hypothesized to be beneficial in terms of information sharing and/or anti-predator defence. To better understand the adaptive value of communal roosting, we tested these two hypotheses in field studies. The information-sharing hypothesis was addressed by examining following behaviour of butterflies departing from natural roosts. We found no evidence of roost mates following one another to resources, thus providing no support for this hypothesis. The anti-predator defence hypothesis was tested using avian-indiscriminable Heliconius erato models placed singly and in aggregations at field sites. A significantly higher number of predation attempts were observed on solitary models versus aggregations of models. This relationship between aggregation size and attack rate suggests that communally roosting butterflies enjoy the benefits of both overall decreased attack frequency as well as a prey dilution effect. Communal roosts probably deter predators through collective aposematism in which aggregations of conspicuous, unpalatable prey communicate a more effective repel signal to predators. On the basis of our results, we propose that predation by birds is a key selective pressure maintaining Heliconius communal roosting behaviour.     

Diverse pollinator communities enhance plant reproductive success

Understanding the functional consequences of biodiversity loss is a major goal of ecology. Animal-mediated pollination is an essential ecosystem function and service provided to mankind. However, little is known how pollinator diversity could affect pollination services. Using a substitutive design, we experimentally manipulated functional group (FG) and species richness of pollinator communities to investigate their consequences on the reproductive success of an obligate out-crossing model plant species, Raphanus sativus. Both fruit and seed set increased with pollinator FG richness. Furthermore, seed set increased with species richness in pollinator communities composed of a single FG. However, in multiple-FG communities, highest species richness resulted in slightly reduced pollination services compared with intermediate species richness. Our analysis indicates that the presence of social bees, which showed roughly four times higher visitation rates than solitary bees or hoverflies, was an important factor contributing to the positive pollinator diversity–pollination service relationship, in particular, for fruit set. Visitation rate at different daytimes, and less so among flower heights, varied among social bees, solitary bees and hoverflies, indicating a niche complementarity among these pollinator groups. Our study demonstrates enhanced pollination services of diverse pollinator communities at the plant population level and suggests that both the niche complementarity and the presence of specific taxa in a pollinator community drive this positive relationship.     

Bimodal effect of retinoic acid on melanocyte differentiation identified by time-dependent analysis

Retinoic acid (RA) is considered to control melanocytes; however, its precise mechanism remains unclear because of a bimodal effect, which promotes or inhibits melanin synthesis depending on the cell type, culture condition of melanocytes and skin conditions. In this study, we examined the effects of RA throughout each stage of differentiation of melanocytes using a mouse embryonic stem cell culture system to induce melanocytes. The results showed that RA has significantly different effects depending on the stage of differentiation of melanocytes. More specifically, RA promoted differentiation in earlier stages, wherein embryonic stem cells became melanoblasts via neural crest cells, and inhibited differentiation in later stages, wherein melanoblasts became melanocytes. It was revealed for the first time that melanocytes show markedly different reactions to RA depending on the stage of differentiation.     

Miscanthus × giganteus productivity: the effects of management in different environments

Miscanthus × giganteus is a C₄ perennial grass that shows great potential as a high‐yielding biomass crop. Scant research has been published that reports M. × giganteus growth and biomass yields in different environments in the United States. This study investigated the establishment success, plant growth, and dry biomass yield of M. × giganteus during its first three seasons at four locations (Urbana, IL; Lexington, KY; Mead, NE; Adelphia, NJ) in the United States. Three nitrogen rates (0, 60, and 120 kg ha^?1) were applied at each location each year. Good survival of M. × giganteus during its first winter was observed at KY, NE, and NJ (79–100%), and poor survival at IL (25%), due to late planting and cold winter temperatures. Site soil conditions, and growing‐season precipitation and temperature had the greatest impact on dry biomass yield between season 2 (2009) and season 3 (2010). Ideal 2010 weather conditions at NE resulted in significant yield increases (P < 0.0001) of 15.6–27.4 Mg ha^?1 from 2009 to 2010. Small yield increases in KY of 17.1 Mg ha^?1 in 2009 to 19.0 Mg ha^?1 in 2010 could be attributed to excessive spring rain and hot dry conditions late in the growing season. Average M. ×giganteus biomass yields in NJ decreased from 16.9 to 9.7 Mg ha^?1 between 2009 and 2010 and were related to hot dry weather, and poor soil conditions. Season 3 yields were positively correlated with end‐of‐season plant height () and tiller density (). Nitrogen fertilization had no significant effect on plant height, tiller density, or dry biomass yield at any of the sites during 2009 or 2010.     

Deciphering the oxygen isotope composition of nitrous oxide produced by nitrification

The ability to use δ¹⁸O values of nitrous oxide (N₂O) to apportion environmental emissions is currently hindered by a poor understanding of the controls on δ¹⁸O–N₂O from nitrification (hydroxylamine oxidation to N₂O and nitrite reduction to N₂O). In this study fertilized agricultural soils and unfertilized temperate forest soils were aerobically incubated with different ¹⁸O/¹⁶O waters, and conceptual and mathematical models were developed to systematically explain the δ¹⁸O–N₂O formed by nitrification. Modeling exercises used a set of defined input parameters to emulate the measured soil δ¹⁸O–N₂O data (Monte Carlo approach). The Monte Carlo simulations implied that abiotic oxygen (O) exchange between nitrite (NO₂^?) and H₂O is important in all soils, but that biological, enzyme‐controlled O‐exchange does not occur during the reduction of NO₂^? to N₂O (nitrifier‐denitrification). Similarly, the results of the model simulations indicated that N₂O consumption is not characteristic of aerobic N₂O formation. The results of this study and a synthesis of the published literature data indicate that δ¹⁸O–N₂O formed in aerobic environments is constrained between +13‰ and +35‰ relative to Vienna Standard Mean Ocean Water (VSMOW). N₂O formed via hydroxylamine oxidation and nitrifier‐denitrification cannot be separated using δ¹⁸O unless ¹⁸O tracers are employed. The natural range of nitrifier δ¹⁸O–N₂O is discussed and explained in terms of our conceptual model, and the major and minor controls that define aerobically produced δ¹⁸O–N₂O are identified. Despite the highly complex nature of δ¹⁸O–N₂O produced by nitrification this δ¹⁸O range is narrow. As a result, in many situations δ¹⁸O values may be used in conjunction with δ¹⁵N–N₂O data to apportion nitrifier‐ and denitrifier‐derived N₂O. However, when biological O‐exchange during denitrification is high and N₂O consumption is low, there may be too much overlap in δ¹⁸O values to distinguish N₂O formed by these pathways.