Assessing the response of forest productivity to climate extremes in Switzerland using model–data fusion

The response of forest productivity to climate extremes strongly depends on ambient environmental and site conditions. To better understand these relationships at a regional scale, we used nearly 800 observation years from 271 permanent long‐term forest monitoring plots across Switzerland, obtained between 1980 and 2017. We assimilated these data into the 3‐PG forest ecosystem model using Bayesian inference, reducing the bias of model predictions from 14% to 5% for forest stem carbon stocks and from 45% to 9% for stem carbon stock changes. We then estimated the productivity of forests dominated by Picea abies and Fagus sylvatica for the period of 1960–2018, and tested for productivity shifts in response to climate along elevational gradient and in extreme years. Simulated net primary productivity (NPP) decreased with elevation (2.86 ± 0.006 Mg C ha^?1 year^?1 km^?1 for P. abies and 0.93 ± 0.010 Mg C ha^?1 year^?1 km^?1 for F. sylvatica). During warm–dry extremes, simulated NPP for both species increased at higher and decreased at lower elevations, with reductions in NPP of more than 25% for up to 21% of the potential species distribution range in Switzerland. Reduced plant water availability had a stronger effect on NPP than temperature during warm‐dry extremes. Importantly, cold–dry extremes had negative impacts on regional forest NPP comparable to warm–dry extremes. Overall, our calibrated model suggests that the response of forest productivity to climate extremes is more complex than simple shift toward higher elevation. Such robust estimates of NPP are key for increasing our understanding of forests ecosystems carbon dynamics under climate extremes.     

A 3D doubly sensitivity enhanced X-filtered TOCSY-TOCSY experiment

We present a 3D double sensitivity enhanced X-filtered homonuclear TOCSY-TOCSY experiment for the assignment of unlabeled molecules complexed to labeled protein- or nucleic acid-domains. The resulting spectrum is clean, can be measured in a reasonable amount of time and allows for increased resolution of overlapping resonances when compared to 2D methods. The 3D X-filtered TOCSY-TOCSY allows for assignment in cases where the size or the composition of the unlabeled molecule results in a high degree of overlap.     

Are fire,soil fertility and toxicity,water availability,plant functional diversity,and litter decomposition related in a Neotropical savanna?

Understanding how biodiversity and ecosystem functioning respond to changes in the environment is fundamental to the maintenance of ecosystem function. In realistic scenarios, the biodiversity-ecosystem functioning path may account for only a small share of all factors determining ecosystem function. Here, we investigated the strength to which variations in environmental characteristics in a Neotropical savanna affected functional diversity and decomposition. We sought an integrative approach, testing a number of pairwise hypotheses about how the environment, biodiversity, and functioning were linked. We used structural equation modelling to connect fire frequency, soil fertility, exchangeable Al, water availability, functional diversity of woody plants, tree density, tree height, and litter decomposition rates in a causal chain. We found significant effects of soil nutrients, water availability, and Al on functional diversity and litter decomposition. Fire did not have a significant direct effect on functional diversity or litter decomposition. However, fire was connected to both variables through soil fertility. Functional diversity did not influence rates of litter decomposition. The mediated effects that emerged from pairwise interactions are encouraging not only for predicting the functional consequences of changes in environmental variables and biodiversity, but also to caution against predictions based on only environmental or only biodiversity change.     

A Bacillus megaterium Plasmid System for the Production, Export, and One-Step Purification of Affinity-Tagged Heterologous Levansucrase from Growth Medium

A multiple vector system for the production and export of recombinant affinity-tagged proteins in Bacillus megaterium was developed. Up to 1 mg/liter of a His₆-tagged or Strep-tagged Lactobacillus reuteri levansucrase was directed into the growth medium, using the B. megaterium esterase LipA signal peptide, and recovered by one-step affinity chromatography.     

The New York Consortium on Membrane Protein Structure (NYCOMPS): a high-throughput platform for structural genomics of integral membrane proteins

The New York Consortium on Membrane Protein Structure (NYCOMPS) was formed to accelerate the acquisition of structural information on membrane proteins by applying a structural genomics approach. NYCOMPS comprises a bioinformatics group, a centralized facility operating a high-throughput cloning and screening pipeline, a set of associated wet labs that perform high-level protein production and structure determination by x-ray crystallography and NMR, and a set of investigators focused on methods development. In the first three years of operation, the NYCOMPS pipeline has so far produced and screened 7,250 expression constructs for 8,045 target proteins. Approximately 600 of these verified targets were scaled up to levels required for structural studies, so far yielding 24 membrane protein crystals. Here we describe the overall structure of NYCOMPS and provide details on the high-throughput pipeline.     

Molecular Cloning of Silicatein Gene from Marine Sponge <Emphasis Type="Italic">Petrosia ficiformis</Emphasis> (Porifera,Demospongiae) and Development of Primmorphs as a Model for Biosilicification Studies

In some sponges peculiar proteins called silicateins catalyze silica polymerization in ordered structures, and their study is of high interest for possible biotechnological applications in the nanostructure industry. In this work we describe the isolation and the molecular characterization of silicatein from spicules of Petrosia ficiformis, a common Mediterranean sponge, and the development of a cellular model (primmorphs) suitable for in vitro studies of silicatein gene regulation. The spicule of P. ficiformis contains an axial filament composed of 2 insoluble proteins, of 30 and 23 kDa. The 23-kDa protein was characterized, and the full-length cDNA was cloned. The putative amino acid sequence has high homology with previously described silicateins from other sponge species and also is very similar to cathepsins, a cystein protease family. Finally, P. ficiformis primmorphs express the silicatein gene, suggesting that they should be a good model for biosilicification studies.     

CD38 expression enhances sensitivity of lymphoma T and B cell lines to biochemical and receptor-mediated apoptosis

CD38 has been widely characterised both as an ectoenzyme and as a receptor. In the present paper, we investigated the role of CD38 as possible modulator of apoptosis. CD38-positive (CD38(+)) and negative (CD38(-)) fractions, obtained by sorting CD38(+) cells from lymphoma T (Jurkat) and lymphoma B (Raji) and by transfecting lymphoma LG14 and myeloid leukemia K562 cell lines, were used. Cellular subpopulations were exposed to different triggers (H(2)O(2), UV-B, alpha-TOS and hrTRAIL) and the extent of apoptosis was determined by Annexin V-FITC/PI assay. Our data showed that, in lymphoma cells, propensity to apoptosis was significantly linked to CD38 expression and that, remarkably, such response was independent of the nature of the trigger used. Inhibition of CD38 expression by antisense oligonucleotides treatment resulted in CD38-silenced fractions which were as prone to apoptosis as CD38(-) ones. Notably, susceptibility of K562 to apoptosis-inducing challenges was not affected by CD38 expression.     

Generation of novel-substrate-accepting biphenyl dioxygenases through segmental random mutagenesis and identification of residues involved in enzyme specificity

Aryl-hydroxylating dioxygenases are of interest for the degradation of persistant aromatic pollutants, such as polychlorobiphenyls (PCBs), or as catalysts for the functionalization of aromatic scaffolds. In order to achieve dioxygenation of technical mixtures of PCBs, enzymes with broadened or altered substrate ranges are essential. To alter the substrate specificity of the biphenyl dioxygenase (BphA) of Burkholderia xenovorans LB400, we applied a directed evolution approach that used structure-function relationship data to target random mutageneses to specific segments of the enzyme. The limitation of random amino acid (AA) substitutions to regions that are critical for substrate binding and the exclusion of AA exchanges from positions that are essential for catalytic activity yielded enzyme variants of interest at comparatively high frequencies. After only a single mutagenic cycle, 10 beneficial variants were detected in a library of fewer than 1,000 active enzymes. Compared to the parental BphA, they showed between 5- and 200-fold increased turnover of chlorinated biphenyls, with substituent patterns that rendered them largely recalcitrant to attack by BphA-LB400. Determination of their sequences identified AAs that prevent the acceptance of specific PCBs by the wild-type enzyme, such as Pro334 and Phe384. The results suggest prime targets for subsequent cycles of BphA modification. Correlations with a three-dimensional model of the enzyme indicated that most of the exchanges with major influence on substrate turnover do not involve pocket-lining residues and had not been predictable through structural modeling.     

Identification and characterization of heparin/heparan sulfate binding domains of the endoglycosidase heparanase

The endo-beta-glucuronidase, heparanase, is an enzyme that cleaves heparan sulfate at specific intra-chain sites, yielding heparan sulfate fragments with appreciable size and biological activities. Heparanase activity has been traditionally correlated with cell invasion associated with cancer metastasis, angiogenesis, and inflammation. In addition, heparanase up-regulation has been documented in a variety of primary human tumors, correlating with increased vascular density and poor postoperative survival, suggesting that heparanase may be considered as a target for anticancer drugs. In an attempt to identify the protein motif that would serve as a target for the development of heparanase inhibitors, we looked for protein domains that mediate the interaction of heparanase with its heparan sulfate substrate. We have identified three potential heparin binding domains and provided evidence that one of these is mapped at the N terminus of the 50-kDa active heparanase subunit. A peptide corresponding to this region (Lys(158)-Asp(171)) physically associates with heparin and heparan sulfate. Moreover, the peptide inhibited heparanase enzymatic activity in a dose-responsive manner, presumably through competition with the heparan sulfate substrate. Furthermore, antibodies directed to this region inhibited heparanase activity, and a deletion construct lacking this domain exhibited no enzymatic activity. NMR titration experiments confirmed residues Lys(158)-Asn(162) as amino acids that firmly bound heparin. Deletion of a second heparin binding domain sequence (Gln(270)-Lys(280)) yielded an inactive enzyme that failed to interact with cell surface heparan sulfate and hence accumulated in the culture medium of transfected HEK 293 cells to exceptionally high levels. The two heparin/heparan sulfate recognition domains are potentially attractive targets for the development of heparanase inhibitors.