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COR15A and COR15B form a tandem repeat of highly homologous genes in Arabidopsis thaliana. Both genes are highly cold induced and the encoded proteins belong to the Pfam LEA_4 group (group 3) of the late embryogenesis abundant (LEA) proteins. Both proteins were predicted to be intrinsically disordered in solution. Only COR15A has previously been characterized and it was shown to be localized in the soluble stroma fraction of chloroplasts. Ectopic expression of COR15A in Arabidopsis resulted in increased freezing tolerance of both chloroplasts after freezing and thawing of intact leaves and of isolated protoplasts frozen and thawed in vitro. In the present study we have generated recombinant mature COR15A and COR15B for a comparative study of their structure and possible function as membrane protectants. CD spectroscopy showed that both proteins are predominantly unstructured in solution and mainly a-helical after drying. Both proteins showed similar effects on the thermotropic phase behavior of dry liposomes. A decrease in the gel to liquid-crystalline phase transition temperature depended on both the unsaturation of the fatty acyl chains and lipid headgroup structure. FTIR spectroscopy indicated no strong interactions between the proteins and the lipid phosphate and carbonyl groups, but significant interactions with the galactose headgroup of the chloroplast lipid monogalactosyldiacylglycerol. These findings were rationalized by modeling the secondary structure of COR15A and COR15B. Helical wheel projection indicated the presence of amphipathic a-helices in both proteins. The helices lacked a clear separation of positive and negative charges on the hydrophilic face, but contained several hydroxylated amino acids.
CsMan26 from Caldicellulosiruptor strain Rt8.B4 is a modular beta-mannanase consisting of two N-terminal family 27 carbohydrate-binding modules (CBMs), followed by a family 35 CBM and a family 26 glycoside hydrolase catalytic module (mannanase). A functional dissection of the full-length CsMan26 and a comprehensive characterisation of the truncated derivatives were undertaken to evaluate the role of the CBMs. Limited proteolysis was used to define biochemically the boundaries of the different structural modules in CsMan26. The full-length CsMan26 and three truncated derivatives were produced in Escherichia coli, purified and characterised. The systematic removal of the CBMs resulted in a decrease in the optimal temperature for activity and in the overall thermostability of the derivatives. Kinetic experiments indicated that the presence of the mannan-specific family 27 CBMs increased the affinity of the enzyme towards the soluble galactomannan substrate but this was accompanied by lower catalytic efficiency. The full-length CsMan26 and its truncated derivatives were unable to hydrolyse mannooligosaccharides with degree of polymerisation (DP) of three or less. The major difference in the hydrolysis pattern of larger mannooligosaccharides (DP > 3) by the derivatives was determined by their abilities to further hydrolyse the intermediate sugar mannotetraose.
Biomarkers are used to predict phenotypical properties before these features become apparent and, therefore, are valuable tools for both fundamental and applied research. Diagnostic biomarkers have been discovered in medicine many decades ago and are now commonly applied. While this is routine in the field of medicine, it is of surprise that in agriculture this approach has never been investigated. Up to now, the prediction of phenotypes in plants was based on growing plants and assaying the organs of interest in a time intensive process. For the first time, we demonstrate in this study the application of metabolomics to predict agronomic important phenotypes of a crop plant that was grown in different environments. Our procedure consists of established techniques to screen untargeted for a large amount of metabolites in parallel, in combination with machine learning methods. By using this combination of metabolomics and biomathematical tools metabolites were identified that can be used as biomarkers to improve the prediction of traits. The predictive metabolites can be selected and used subsequently to develop fast, targeted and low-cost diagnostic biomarker assays that can be implemented in breeding programs or quality assessment analysis. The identified metabolic biomarkers allow for the prediction of crop product quality. Furthermore, marker-assisted selection can benefit from the discovery of metabolic biomarkers when other molecular markers come to its limitation. The described marker selection method was developed for potato tubers, but is generally applicable to any crop and trait as it functions independently of genomic information.
In freshwater systems, many abiotic and biotic factors determine the natural fluctuation of Daphnia spec. populations: climatic and water quality parameters, quantitative and qualitative food quality and quantity, predation, and humic substances. Many factors/stressors act in concert. In this contribution, we supplied Daphnia magna with two different diets (chlorococcal alga Pseudokirchneriella subcapitata and baker's yeast) fed ad libitum and exposed it to an environmentally realistic concentration of humic substances (HSs). Exposure to HSs caused a transcriptionally controlled stress response with studied genes; cat and hsp60, for the latter partial sequences have been identified. Furthermore, the exposure to HSs reduced the antioxidant capacity. Yet, a much stronger oxidative stress is caused by feeding yeast, which reduced the anti-oxidative capacity to values of approximately 50% of the green algal diet. This reduction is most likely due to the yeast's cell wall to resist digestion rather than to the elemental ratio or deficiency in long-chained unsaturated fatty acids, because both diets were deficient in fatty acids with back bones of more than 20 C-atoms. We assume that the biochemical machinery in the gut continuously activated oxygen to cleave the yeast's cell wall and, hence, reduced the antioxidative capacity of the animals. Neither the analyzed oxidant, H2O2, nor the antioxidants, total apparent ascorbic acid nor free proline, reflected the oxidative stress situations properly. In addition to the stress, HS exposure extended the mean lifespan of algae-fed D. magna, but at the expense of offspring numbers; so did also the pure yeast diet as compared to the algae diet. The first lifespan extension can be explained by the potential of HSs to block the pathway via the insulin-like growth factor 1 (IGF), whereas the second matches the, in aging papers, well described, but mechanistically poorly understood caloric restriction. Yeast-fed animals, exposed to HSs changed the energy allocation by reducing life span, but increasing offspring numbers. With the lifespan and offspring numbers, ecologically relevant parameters are differently affected by the simultaneous action of two environmentally relevant stressors.
Invertebrate herbivores are ubiquitous in most terrestrial ecosystems, and theory predicts that their impact on plant community biomass should depend on diversity and productivity of the associated plant communities. To elucidate general patterns in the relationship between invertebrate herbivory, plant diversity, and productivity, we carried out a long-term herbivore exclusion experiment at multiple grassland sites in a mountainous landscape of central Germany. Over a period of five years, we used above-and belowground insecticides as well as a molluscicide to manipulate invertebrate herbivory at 14 grassland sites, covering a wide range of plant species diversity (13-38 species/m(2)) and aboveground plant productivity (272-1125 g.m(-2).yr(-1)), where plant species richness and productivity of the sites were not significantly correlated. Herbivore exclusion had significant effects on the plant communities: it decreased plant species richness and evenness, and it altered plant community composition. In particular, exclusion of belowground herbivores promoted grasses at the expense of herbs. In contrast to our expectation, herbivore effects on plant community biomass were not influenced by productivity. However, effect size of invertebrate herbivores was negatively correlated with plant diversity of the grasslands: the effect of herbivory on biomass tended to be negative at sites of high diversity and positive at sites of low diversity. In general, the effects of aboveground herbivores were relatively small as compared to belowground herbivores, which were important drivers of plant community composition. Our study is the first to show that variation in the effects of invertebrate herbivory on plant communities across a landscape is significantly influenced by plant species richness.
Synthetic Biology is advanced by many users and relies on the assembly of genetic elements to devices, systems and finally genomes. SynBioWave is a software suite that enables multiple distributed users to analyze and construct genetic parts in real-time collaboration. It builds on Google Wave and provides an extensible robot-robot-user communication framework, a menu driven user interface, biological data handling including DAS and an internal database communication. We demonstrate its use by implementing robots for gene-data retrieval, manipulation and display. The initial development of SynBioWave demonstrates the power of the underlying Google Wave protocol for Synthetic Biology and lays the foundation for continuous and user-friendly extensions. Specialized wave-robots with a manageable set of capabilities will divide and conquer the complex task of creating a genome in silico.
A biosensor, based on a redoxactive osmium polymer and sulfite oxidase on screen-printed electrodes, is presented here as a promising method for the detection of sulfite. A catalytic oxidative current was generated when a sample containing sulfite was pumped over the carbon screen-printed electrode modified with osmium redox polymer wired sulfite oxidase. A stationary value was reached after approximately 50 s and a complete measurement lasted no more than 3 min. The electrode polarized at -0.1 V (vs. Ag vertical bar AgCl 1M KCl) permits minimizing the influence of interfering substances, since these compounds can be unspecific oxidized at higher potentials. Because of the good stability of the protein film on the electrode surface, a well functioning biosensor-flow system was possible to construct. The working stability and reproducibility were further enhanced by the addition of bovine serum albumin generating a more long-term stable and biocompatible protein environment. The optimized biosensor showed a stable signal for more than a week of operation and a coefficient of variation of 4.8% for 12 successive measurements. The lower limit of detection of the sensor was 0.5 mu M sulfite and the response was linear until 100 mu M. The high sensitivity permitted a 1:500 dilution of wine samples. The immobilization procedure and the operational conditions granted minimized interferences. Additionally, repeating the immobilization procedure to form several layers of wired SO further increased the sensitivity of such a sensor. Finally. the applicability of the developed sulfite biosensor was tested on real samples, such as white and red wines.
Inorganic phosphorus (P-i) and carbon (here, CO2) potentially limit the photosynthesis of phytoplankton simultaneously (colimitation). A single P-i limitation generally reduces photosynthesis, but the effect of a colimitation is not known. Therefore, photosynthesis was measured under P-i-limited conditions and high and low CO2, and osmo-mixotrophic (i.e., growth in the presence of glucose) conditions that result in colimiting conditions in some cases. The green alga Chlamydomonas acidophila Negoro was used as a model organism because low P-i and CO2 concentrations likely influence its photosynthetic rates in its natural environment. Results showed a decreasing maximum photosynthetic rate (P-max) and maximum quantum yield (Theta(II)) with increasing P-i limitation. In addition, a P-i limitation enhanced the relative contribution of dark respiration to P-max (R-d:P-max) but did not influence the compensation light intensity. P-max positively correlated with the cellular RUBISCO content. Osmo-mixotrophic conditions resulted in similar P-max, Theta(II), and RUBISCO content as in high-CO2 cultures. The low-CO2 cultures were colimited by P-i and CO2 and had the highest P-max, Theta(II), and RUBISCO content. Colimiting conditions for P-i and CO2 in C. acidophila resulted in an enhanced mismatch between photosynthesis and growth rates compared to the effect of a single P- i limitation. Primary productivity of colimited phytoplankton could thus be misinterpreted.
Biological invasions are a major threat to natural biodiversity; hence, understanding the mechanisms underlying invasibility (i.e., the susceptibility of a community to invasions by new species) is crucial. Invasibility of a resident community may be affected by a complex but hitherto hardly understood interplay of (1) productivity of the habitat, (2) diversity, (3) herbivory, and (4) the characteristics of both invasive and resident species. Using experimental phytoplankton microcosms, we investigated the effect of nutrient supply and species diversity on the invasibility of resident communities for two functionally different invaders in the presence or absence of an herbivore. With increasing nutrient supply, increased herbivore abundance indicated enhanced phytoplankton biomass production, and the invasion success of both invaders showed a unimodal pattern. At low nutrient supply (i.e., low influence of herbivory), the invasibility depended mainly on the competitive abilities of the invaders, whereas at high nutrient supply, the susceptibility to herbivory dominated. This resulted in different optimum nutrient levels for invasion success of the two species due to their individual functional traits. To test the effect of diversity on invasibility, a species richness gradient was generated by random selection from a resident species pool at an intermediate nutrient level. Invasibility was not affected by species richness; instead, it was driven by the functional traits of the resident and/or invasive species mediated by herbivore density. Overall, herbivory was the driving factor for invasibility of phytoplankton communities, which implies that other factors affecting the intensity of herbivory (e.g., productivity or edibility of primary producers) indirectly influence invasions.
In this study, we have used fragments of three mitochondrial genes (Control Region, CR; transfer RNA for methionine, tRNA-Met; NADH dehydrogenase subunit 2, ND2 for a total of 1066 bp) to reconstruct the phylogeographic history of the endemic Philippine bulbul (Hypsipetes philippinus) at the scale of the central area of the Philippine archipelago. The study includes two of the five recognized subspecies (guimarasensis and mindorensis), 7 populations and 58 individuals. Multiple phylogenetic and network analyses support the existence of two reciprocally monophyletic maternal lineages corresponding to the two named subspecies. Molecular clock estimates indicate that the split between the two subspecies is consistent with the Pleistocene geological history of the archipelago. Patterns of relationships within guimarasensis are biogeographically less clear. Here, a combination of vicariance and dispersal needs to be invoked to reconcile the molecular data with the geographical origin of samples. In particular, the two islands Boracay and Negros host mitochondrial lineages that do not form monophyletic clusters. Our genetic data suggest multiple independent colonization events for these locations.