Impact of short-term acidification on nitrification and nitrifying bacterial community dynamics in soilless cultivation media

Soilless medium-based horticulture systems are highly prevalent due to their capacity to optimize growth of high-cash crops. However, these systems are highly dynamic and more sensitive to physiochemical and pH perturbations than traditional soil-based systems, especially during nitrification associated with ammonia-based fertilization. The objective of this study was to assess the impact of nitrification-generated acidification on ammonia oxidation rates and nitrifying bacterial community dynamics in soilless growth media. To achieve this goal, perlite soilless growth medium from a commercial bell pepper greenhouse was incubated with ammonium in bench-scale microcosm experiments. Initial quantitative real-time PCR analysis indicated that betaproteobacterial ammonia oxidizers were significantly more abundant than ammonia-oxidizing archaea, and therefore, research focused on this group. Ammonia oxidation rates were highest between 0 and 9 days, when pH values dropped from 7.4 to 4.9. Pyrosequencing of betaproteobacterial ammonia-oxidizing amoA gene fragments indicated that r-strategist-like Nitrosomonas was the dominant ammonia-oxidizing bacterial genus during this period, seemingly due to the high ammonium concentration and optimal growth conditions in the soilless media. Reduction of pH to levels below 4.8 resulted in a significant decrease in both ammonia oxidation rates and the diversity of ammonia-oxidizing bacteria, with increased relative abundance of the r-strategist-like Nitrosospira. Nitrite oxidizers (Nitrospira and Nitrobacter) were on the whole more abundant and less sensitive to acidification than ammonia oxidizers. This study demonstrates that nitrification and nitrifying bacterial community dynamics in high-N-load intensive soilless growth media may be significantly different from those in in-terra agricultural systems.     

Distinct role of subcomplexes of the COPI coat in the regulation of ArfGAP2 activity

COPI vesicles serve for transport of proteins and membrane lipids in the early secretory pathway. Their coat protein (coatomer) is a heptameric complex that is recruited to the Golgi by the small GTPase Arf1. Although recruited en bloc, coatomer can be viewed as a stable assembly of an adaptin‐like tetrameric subcomplex (CM4) and a trimeric ‘cage’ subcomplex (CM3). Following recruitment, coatomer stimulates ArfGAP‐dependent GTP hydrolysis on Arf1. Here, we employed recombinant coatomer subcomplexes to study the role of coatomer components in the regulation of ArfGAP2, an ArfGAP whose activity is strictly coatomer‐dependent. Within CM4, we define a novel hydrophobic pocket for ArfGAP2 interaction on the appendage domain of γ₁‐COP. The CM4 subcomplex (but not CM3) is recruited to membranes through Arf1 and can subsequently recruit ArfGAP2. Neither CM3 nor CM4 in itself is effective in stimulating ArfGAP2 activity, but stimulation is regained when both subcomplexes are present. Our findings point to a distinct role of each of the two coatomer subcomplexes in the regulation of ArfGAP2‐dependent GTP hydrolysis on Arf1, where the CM4 subcomplex functions in GAP recruitment, while, similarly to the COPII system, the cage‐like CM3 subcomplex stimulates the catalytic reaction.     

MiRNA-mediated control of HLA-G expression and function

HLA-G is a non-classical HLA class-Ib molecule expressed mainly by the extravillous cytotrophoblasts (EVT) of the placenta. The expression of HLA-G on these fetal cells protects the EVT cells from immune rejection and is therefore important for a healthy pregnancy. The mechanisms controlling HLA-G expression are largely unknown. Here we demonstrate that miR-148a and miR-152 down-regulate HLA-G expression by binding its 3'UTR and that this down-regulation of HLA-G affects LILRB1 recognition and consequently, abolishes the LILRB1-mediated inhibition of NK cell killing. We further demonstrate that the C/G polymorphism at position +3142 of HLA-G 3'UTR has no effect on the miRNA targeting of HLA-G. We show that in the placenta both miR-148a and miR-152 miRNAs are expressed at relatively low levels, compared to other healthy tissues, and that the mRNA levels of HLA-G are particularly high and we therefore suggest that this might enable the tissue specific expression of HLA-G.     

Influenza virus infection augments NK cell inhibition through reorganization of major histocompatibility complex class I proteins

The killing by natural killer (NK) cells is regulated by inhibitory, costimulatory, and activating receptors. The inhibitory receptors recognize mainly major histocompatibility complex (MHC) class I molecules, while the activating NK receptors recognize stress-induced ligands and viral products. Thus, changes in the expression of the various inhibitory and activating ligands will determine whether target cells will be killed or protected. Here, we demonstrate that after influenza virus infection the binding of the two NK inhibitory receptors, KIR2DL1 and the LIR1, to the infected cells is specifically increased. The increased binding occurs shortly after the influenza virus infection, prior to the increased recognition of the infected cells by the NK activating receptor, NKp46. We also elucidate the mechanism responsible for this effect and demonstrate that, after influenza virus infection, MHC class I proteins redistribute on the cell surface and accumulate in the lipid raft microdomains. Such redistribution allows better recognition by the NK inhibitory receptors and consequently increases resistance to NK cell attack. In contrast, T-cell activity was not influenced by the redistribution of MHC class I proteins. Thus, we present here a novel mechanism, developed by the influenza virus, of inhibition of NK cell cytotoxicity, through the reorganization of MHC class I proteins on the cell surface.     

Interrelationship between phosphorus toxicity and sugar metabolism in Verticordia plumosa L

Phosphorus, an essential plant nutrient, may become toxic when accumulated by plants to high concentrations. Certain plant species such as Verticordia plumosa L. suffer from P toxicity at solution concentrations far lower than most other plant species. In this study, exposure of V. plumosa plants to a solution containing as low as 3 mg l^–1 P resulted in significant growth inhibition and typical symptoms of P toxicity. In a wide range of P levels studied, micronutrient concentrations in V. plumosa leaves were within the range considered adequate for optimal growth. Notably, tomato plants with high hexokinase activity due to overexpression of Arabidopsis hexokinase (AtHXK1) exhibited senescence symptoms similar to those of P toxic V. plumosa. The resemblance in senescence symptoms between P-toxic tomato plants and those with high hexokinase activity suggested that increased sugar metabolism could play a role in P toxicity in plants. To test this hypothesis, we determined the amount of hexose phosphate, the product of hexokinase, in V. plumosa leaves grown at various P levels in the nutrient solution. Positive correlations were found between concentration in the medium, P concentration in the plant, hexose phosphate concentration in leaves and P toxicity symptoms. Foliar Zn application suppressed P toxicity symptoms and reduced the level of hexose phosphate in leaves. Furthermore, Zn also inhibited hexokinase activity in vitro. Based on these results we suggest that P toxicity involves sugar metabolism via increased activity of hexokinase that accelerates senescence     

A probabilistic methodology for integrating knowledge and experiments on biological networks.

Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed experiments. Modern experimental techniques provide massive data on the global behavior of biological systems, and systematically using these large datasets for refining existing knowledge is a major challenge. Here we introduce an extended computational framework that combines formalization of existing qualitative models, probabilistic modeling, and integration of high-throughput experimental data. Using our methods, it is possible to interpret genomewide measurements in the context of prior knowledge on the system, to assign statistical meaning to the accuracy of such knowledge, and to learn refined models with improved fit to the experiments. Our model is represented as a probabilistic factor graph, and the framework accommodates partial measurements of diverse biological elements. We study the performance of several probabilistic inference algorithms and show that hidden model variables can be reliably inferred even in the presence of feedback loops and complex logic. We show how to refine prior knowledge on combinatorial regulatory relations using hypothesis testing and derive p-values for learned model features. We test our methodology and algorithms on a simulated model and on two real yeast models. In particular, we use our method to explore uncharacterized relations among regulators in the yeast response to hyper-osmotic shock and in the yeast lysine biosynthesis system. Our integrative approach to the analysis of biological regulation is demonstrated to synergistically combine qualitative and quantitative evidence into concrete biological predictions.     

The living and the dead: How do taphonomic processes modify relative abundance and skeletal completeness of freshwater fish?

This study is designed to determine the extent to which taphonomic processes alter the taxonomic composition of fish remains in lacustrine sediments. We wish to explore information loss in a bone assemblage relative to the original, living community. We examined fish bone assemblages from lacustrine sediments along the southern shore of Lake Kinneret (Sea of Galilee) and compared them to modern living communities. For this purpose we randomly selected 24 squares, each 0.5 m² in size, and excavated them to a depth of 30–50 cm. Three lithofacies were recovered, spanning the past 1500 years (unccorected for reservoir age). The fish remains include 5037 bones and 758 scales, of which 1566 bones were identified to taxonomic group. The list of identified species was compared with the list of indigenous species known to live in Lake Kinneret in general and in a similar sandy habitat in particular. The proportion of skeletal elements found was compared with the proportion known in a complete fish. Our study indicates that differences exist between the three lithofacies in species diversity and composition, skeletal element richness, completeness, and relative abundance. In addition, the bones exhibit a clumped distribution pattern, regardless of depositional depth. From a taphonomic and paleoecological perspective, our findings demonstrate that fish remains retrieved from lacustrine sediments do not represent the composition and diversity of species as in the recent fish community.