Protein composition of the chromosomal scaffold and interphase nuclear matrix

Residual protein structures were prepared from isolated chromosomes and interphase nuclei of in vitro cultured bovine liver cells and the protein compositions were analysed. Chromosomes with minimal cytoplasmic contamination were obtained by a simple procedure using a pH 8 isolation medium containing Triton X-100 and polyamines, and residual protein-DNA complexes were prepared by extraction with 2 M NaCl. Residual protein structures were also obtained by digesting isolated chromosomes with staphylococcal nuclease. Protein compositions of both structures as obtained by SDS-polyacrylamide gel electrophoresis were essentially the same. Residual protein structures were prepared from isolated nuclei by the same procedures. The major nuclear matrix proteins, i.e., the lamins A, B, and C, were not found in the chromosomes and chromosome scaffolds. On the other hand, the residual chromosome structures contained two major polypeptides of 37 and 83 kilodalton relative molecular weights that were absent from the nuclear matrix preparations. A few polypeptides with the same or very similar electrophoretic mobilities were found in the residual structures of both the nuclei and the chromosomes.     

Reproductive strategies of coastal marine fishes in the tropics

Synopsis A synthesis of ethnobiological, behavioral and physical oceanographic information leads to the conclusion that temperate zone models of reproductive strategy are inapplicable to many fishes of the coastal tropics. Intense predation appears to exert heavy selection pressure on fishes that spend their adult lives in coral, mangrove or tropical seagrass communities. Many exhibit spawning behaviors and spawn at times and locations that favor the transport of their pelagic eggs and pelagic larvae offshore where predation is reduced. This creates a countervailing selection pressure — the need to return the larvae to shallow water once they are ready to colonize their post-larval habitats. Accordingly, spawning is often concentrated at times of the year when prevailing winds or currents are at their weakest, thereby reducing the transport of larvae long distances from where they originated. Spawning is also concentrated in the vicinity of nearshore gyres which similarly favor the ultimate return of the larvae to their natal area. Among these species, therefore, offshore larval dispersal does not seem to be an adaptation for dispersal of the species, but rather an evolutionary response to intense predation pressure in the adult habitats. Lunar reproductive periodicity is more common among these species than has previously been recognized, and is one of the strategies employed to enhance the offshore flushing of eggs and larvae.This paper forms part of the proceedings of a mini-symposium convened at Cornell University, Ithaca, N. Y. 18–19 May 1976, entitled Patterns of Community Structure in Fishes (G. S. Helfman, ed.).Contribution No. 524, Hawaii Institute of Marine Biology, University of Hawaii, Honolulu.     

Multiscale Metabolic Modeling: Dynamic Flux Balance Analysis on a Whole-Plant Scale

Plant metabolism is characterized by a unique complexity on the cellular, tissue, and organ levels. On a whole-plant scale, changing source and sink relations accompanying plant development add another level of complexity to metabolism. With the aim of achieving a spatiotemporal resolution of source-sink interactions in crop plant metabolism, a multiscale metabolic modeling (MMM) approach was applied that integrates static organ-specific models with a whole-plant dynamic model. Allowing for a dynamic flux balance analysis on a whole-plant scale, the MMM approach was used to decipher the metabolic behavior of source and sink organs during the generative phase of the barley (Hordeum vulgare) plant. It reveals a sink-to-source shift of the barley stem caused by the senescence-related decrease in leaf source capacity, which is not sufficient to meet the nutrient requirements of sink organs such as the growing seed. The MMM platform represents a novel approach for the in silico analysis of metabolism on a whole-plant level, allowing for a systemic, spatiotemporally resolved understanding of metabolic processes involved in carbon partitioning, thus providing a novel tool for studying yield stability and crop improvement.Plants are of vital significance as a source of food (Grusak and DellaPenna, 1999; Rogalski and Carrer, 2011), feed (Lu et al., 2011), energy (Tilman et al., 2006; Parmar et al., 2011), and feedstocks for the chemical industry (Metzger and Bornscheuer, 2006; Kinghorn et al., 2011). Given the close connection between plant metabolism and the usability of plant products, there is a growing interest in understanding and predicting the behavior and regulation of plant metabolic processes. In order to increase crop quality and yield, there is a need for methods guiding the rational redesign of the plant metabolic network (Schwender, 2009).Mathematical modeling of plant metabolism offers new approaches to understand, predict, and modify complex plant metabolic processes. In plant research, the issue of metabolic modeling is constantly gaining attention, and different modeling approaches applied to plant metabolism exist, ranging from highly detailed quantitative to less complex qualitative approaches (for review, see Giersch, 2000; Morgan and Rhodes, 2002; Poolman et al., 2004; Rios-Estepa and Lange, 2007).A widely used modeling approach is flux balance analysis (FBA), which allows the prediction of metabolic capabilities and steady-state fluxes under different environmental and genetic backgrounds using (non)linear optimization (Orth et al., 2010). Assuming steady-state conditions, FBA has the advantage of not requiring the knowledge of kinetic parameters and, therefore, can be applied to model detailed, large-scale systems. In recent years, the FBA approach has been applied to several different plant species, such as maize (Zea mays; Dal’Molin et al., 2010; Saha et al., 2011), barley (Hordeum vulgare; Grafahrend-Belau et al., 2009b; Melkus et al., 2011; Rolletschek et al., 2011), rice (Oryza sativa; Lakshmanan et al., 2013), Arabidopsis (Arabidopsis thaliana; Poolman et al., 2009; de Oliveira Dal’Molin et al., 2010; Radrich et al., 2010; Williams et al., 2010; Mintz-Oron et al., 2012; Cheung et al., 2013), and rapeseed (Brassica napus; Hay and Schwender, 2011a, 2011b; Pilalis et al., 2011), as well as algae (Boyle and Morgan, 2009; Cogne et al., 2011; Dal’Molin et al., 2011) and photoautotrophic bacteria (Knoop et al., 2010; Montagud et al., 2010; Boyle and Morgan, 2011). These models have been used to study different aspects of metabolism, including the prediction of optimal metabolic yields and energy efficiencies (Dal’Molin et al., 2010; Boyle and Morgan, 2011), changes in flux under different environmental and genetic backgrounds (Grafahrend-Belau et al., 2009b; Dal’Molin et al., 2010; Melkus et al., 2011), and nonintuitive metabolic pathways that merit subsequent experimental investigations (Poolman et al., 2009; Knoop et al., 2010; Rolletschek et al., 2011). Although FBA of plant metabolic models was shown to be capable of reproducing experimentally determined flux distributions (Williams et al., 2010; Hay and Schwender, 2011b) and generating new insights into metabolic behavior, capacities, and efficiencies (Sweetlove and Ratcliffe, 2011), challenges remain to advance the utility and predictive power of the models.Given that many plant metabolic functions are based on interactions between different subcellular compartments, cell types, tissues, and organs, the reconstruction of organ-specific models and the integration of these models into interacting multiorgan and/or whole-plant models is a prerequisite to get insight into complex plant metabolic processes organized on a whole-plant scale (e.g. source-sink interactions). Almost all FBA models of plant metabolism are restricted to one cell type (Boyle and Morgan, 2009; Knoop et al., 2010; Montagud et al., 2010; Cogne et al., 2011; Dal’Molin et al., 2011), one tissue or one organ (Grafahrend-Belau et al., 2009b; Hay and Schwender, 2011a, 2011b; Pilalis et al., 2011; Mintz-Oron et al., 2012), and only one model exists taking into account the interaction between two cell types by specifying the interaction between mesophyll and bundle sheath cells in C4 photosynthesis (Dal’Molin et al., 2010). So far, no model representing metabolism at the whole-plant scale exists.Considering whole-plant metabolism raises the problem of taking into account temporal and environmental changes in metabolism during plant development and growth. Although classical static FBA is unable to predict the dynamics of metabolic processes, as the network analysis is based on steady-state solutions, time-dependent processes can be taken into account by extending the classical static FBA to a dynamic flux balance analysis (dFBA), as proposed by Mahadevan et al. (2002). The static (SOA) and dynamic optimization approaches introduced in this work provide a framework for analyzing the transience of metabolism by integrating kinetic expressions to dynamically constrain exchange fluxes. Due to the requirement of knowing or estimating a large number of kinetic parameters, so far dFBA has only been applied to a plant metabolic model once, to study the photosynthetic metabolism in the chloroplasts of C3 plants by a simplified model of five biochemical reactions (Luo et al., 2009). Integrating a dynamic model into a static FBA model is an alternative approach to perform dFBA.In this study, a multiscale metabolic modeling (MMM) approach was applied with the aim of achieving a spatiotemporal resolution of cereal crop plant metabolism. To provide a framework for the in silico analysis of the metabolic dynamics of barley on a whole-plant scale, the MMM approach integrates a static multiorgan FBA model and a dynamic whole-plant multiscale functional plant model (FPM) to perform dFBA. The performance of the novel whole-plant MMM approach was tested by studying source-sink interactions during the seed developmental phase of barley plants.     

The Leishmania major BBSome subunit BBS1 is essential for parasite virulence in the mammalian host

Bardet–Biedl syndrome (BBS) is a human genetic disorder with a spectrum of symptoms caused by primary cilium dysfunction. The disease is caused by mutations in one of at least 17 identified genes, of which seven encode subunits of the BBSome, a protein complex required for specific trafficking events to and from the primary cilium. The molecular mechanisms associated with BBSome function remain to be fully elucidated. Here, we generated null and complemented mutants of the BBSome subunit BBS1 in the protozoan parasite, Leishmania. In the absence of BBS1, extracellular parasites have no apparent defects in growth, flagellum assembly, motility or differentiation in vitro but there is accumulation of vacuole‐like structures close to the flagellar pocket. Infectivity of these parasites for macrophages in vitro is reduced compared with wild‐type controls but the null parasites retain the ability to differentiate to the intracellular amastigote stage. However, infectivity of BBS1 null parasites is severely compromised in a BALB/c mouse footpad model. We hypothesize that the absence of BBS1 in Leishmania leads to defects in specific trafficking events that affect parasite persistence in the host. This is the first report of an association between the BBSome complex and pathogen infectivity.     

Metagenomic Analysis from the Interior of a Speleothem in Tjuv-Ante's Cave,Northern Sweden

Speleothems are secondary mineral deposits normally formed by water supersaturated with calcium carbonate percolating into underground caves, and are often associated with low-nutrient and mostly non-phototrophic conditions. Tjuv-Ante’s cave is a shallow-depth cave formed by the action of waves, with granite and dolerite as major components, and opal-A and calcite as part of the speleothems, making it a rare kind of cave. We generated two DNA shotgun sequencing metagenomic datasets from the interior of a speleothem from Tjuv-Ante’s cave representing areas of old and relatively recent speleothem formation. We used these datasets to perform i) an evaluation of the use of these speleothems as past biodiversity archives, ii) functional and taxonomic profiling of the speleothem’s different formation periods, and iii) taxonomic comparison of the metagenomic results to previous microscopic analyses from a nearby speleothem of the same cave. Our analyses confirm the abundance of Actinobacteria and fungi as previously reported by microscopic analyses on this cave, however we also discovered a larger biodiversity. Interestingly, we identified photosynthetic genes, as well as genes related to iron and sulphur metabolism, suggesting the presence of chemoautotrophs. Furthermore, we identified taxa and functions related to biomineralization. However, we could not confidently establish the use of this type of speleothems as biological paleoarchives due to the potential leaching from the outside of the cave and the DNA damage that we propose has been caused by the fungal chemical etching.     

Polyclonal antibodies for specific detection of tobacco host cell proteins can be efficiently generated following RuBisCO depletion and the removal of endotoxins

The production of biopharmaceutical proteins in plants requires efficient downstream processing steps that remove impurities such as host cell proteins (HCPs) and adventitious endotoxins produced by bacteria during transient expression. We therefore strived to develop effective routines for endotoxin removal from plant extracts and the subsequent use of the extracts to generate antibodies detecting a broad set of HCPs. At first, we depleted the superabundant protein ribulose‐1,5‐bisphosphate carboxylase/oxygenase (RuBisCO) for which PEG precipitation achieved the best results, preventing a dominant immune reaction against this protein. We found that a mixture of sera from rabbits immunized with pre‐depleted or post‐depleted extracts detected more HCPs than the individual sera used alone. We also developed a powerful endotoxin removal procedure using Polymyxin B for extracts from wild type plants or a combination of fiber‐flow filtration and EndoTrap Blue for tobacco plants infiltrated with Agrobacterium tumefaciens. The antibodies we generated will be useful for quality and performance assessment in future process development and the methods we present can easily be transferred to other expression systems rendering them useful in the field of plant molecular farming.     

Pleotropic mutants from Alcaligenes eutrophus defective in the metabolism of hydrogen,nitrate, urea,and fumarate

Chromosomal mutants of Alcaligenes eutrophus unable to grow with molecular hydrogen as the energy source also failed to grow with nitrate as the terminal electron acceptor or as a nitrogen source. The mutants (Hno^–) (i) formed neither soluble nor particulate hydrogenase antigens, (ii) expressed only about 50% the wild type level of ribulosebisphosphate carboxylase activity, and (iii) transported nickel, an essential constituent of active hydrogenase, at a significantly lower rate than wild type cells. Moreover, the mutants grew very slowly with urea as nitrogen source and did not express urease. Growth on formamide was also affected and formamidase activity was induced to only a very low level. Growth of the Hno^– mutants on succinate, glutamate, fumarate, and malate was significantly slower than wild type, and a reduced rate of succinate incorporation into the mutant cells was demonstrated. The highly pleiotropic phenotype of Hno^– mutants is indicative of a chromosomal gene with a considerable physiological importance. It affected the expression of both chromosomal and megaplasmid encoded systems of energy, carbon, and nitrogen metabolism. Thus, the hno mutation restricts the metabolic versatility but does not affect the basic metabolic functions of the organism.     

Slow conformational exchange in DNA minihairpin loops: A conformationalstudy of the circular dumbbell d〈pCGC-TT-GCG-TT〉

In recent years various examples of highly stable two-residue hairpin loops (miniloops) in DNA have been encountered. As the detailed structure and stability of miniloops appear to be determined not only by the nature and sequence of the two bases in the loop, but also by the closing base pair, it is desirable to carry out in-depth studies of especially designed small model DNA compounds. Therefore, a circular DNA dumbbell-like molecule is tailored to consist of a stem of three Watson–Crick base pairs, flanked on each side by a minihairpin loop. The resulting circular DNA decanter 5′-d〈pCGC- TT-GCG- TT〉 -3′ ( I ) is studied in solution by means of nmr spectroscope. At a temperature of 269 K the molecule occurs in a 50/50 mixture of two dumbbell structures (denoted L2L2 and L2L4). L2L2 contains three Watson–Crick C-G base pairs and two two-residue loops (H2-family type) in opposite parts of the molecule. On raising the temperature from 269 to 314 K. The L2L4 conformer becomes increasingly dominant (95% at 314 K). This conformer has a partially disrupted closing G-C base pair in the 5′-GTTC-3′ loop with only one remaining solvent-accessible hydrogen bond between NH_α of the cytosine C(1) and O6 of the guanine G(8), whereas the opposite 5′-CTTG-3′ loop remains stable. The disruption of the C(1)-G(8) base pair in the L2L4 form is correlated with the presence of a syn orientation for the C(1) base at the 5′-3′ loop-stem junction in the 5′-GTTC-3′ loop. The two conformers. L2L2 and L2L4, occur in slow equilibrium (2–20 s^?1). Moderate line broadening of specific ¹H, ¹³C, and ³¹P resonances of residues C(1), G(8), T(9), and T(10) at low temperatures, due to chemical exchange between L2L2 and L2L4, show that the interconversion from an anti to syn conformer in residue C(1) has a small local effect on the structure of the dumbbell. T₁ relaxation measurements, chemical-shift considerations, and complete hand-shape calculations of the exchange process of the G(8) imino proton reveal a possibility for the existence of multiconformational slates in the anti–syn equilibrium. © 1995 John Wiley & Sons, Inc.     

Nonbacterial pneumonitis with multidrug antineoplastic therapy in breast carcinoma

Seventeen patients with metastatic breast carcinoma were treated with a combination of 5-fluorouracil, methotrexate, vincristine, cyclophosphamide and prednisone. Six of the patients (35%) developed a syndrome consisting of fever, malaise, dyspnea, hypoxemia and bilateral pulmonary interstitial infiltrates from 41 to 148 days after institution of therapy. The syndrome varied from a mild to a life-threatening illness with recovery in 10 to 60 days. It is believed that these cases represent examples of methotrexate-induced pneumonitis. The high incidence of the syndrome in this patient group may be related to the concomitant administration of cyclophosphamide with methotrexate. The observations also suggest that patients with previous adrenalectomies may have pneumonitis with an especially severe and protracted course.     

Niche breadth explains the range size of European-centred butterflies,but dispersal ability does not

Aim

The breadth of ecological niches and dispersal abilities have long been discussed as important determinants of species' range sizes. However, studies directly comparing the relative effects of both factors are rare, taxonomically biased and revealed inconsistent results.

Location

Europe.

Time Period

Cenozoic.

Major Taxa

Butterflies, Lepidoptera.

Methods

We relate climate, diet and habitat niche breadth and two indicators of dispersal ability, wingspan and a dispersal tendency index, to the global range size of 369 European-centred butterfly species. The relative effects of these five predictors and their variation across the butterfly phylogeny were assessed by means of phylogenetic generalized least squares models and phylogenetically weighted regressions respectively.

Results

Climate niche breadth was the most important single predictor, followed by habitat and diet niche breadth, while dispersal tendency and wingspan showed no relation to species' range size. All predictors together explained 59% of the variation in butterfly range size. However, the effects of each predictor varied considerably across families and genera.

Main Conclusions

Range sizes of European-centred butterflies are strongly correlated with ecological niche breadth but apparently independent of dispersal ability. The magnitude of range size–niche breadth relationships is not stationary across the phylogeny and is often negatively correlated across the different dimensions of the ecological niche. This variation limits the generalizability of range size–trait relationships across broad taxonomic groups.