570 Biowissenschaften; Biologie
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Orthogonal systems for heterologous protein expression as well as for the engineering of synthetic gene regulatory circuits in hosts like Saccharomyces cerevisiae depend on synthetic transcription factors (synTFs) and corresponding cis-regulatory binding sites. We have constructed and characterized a set of synTFs based on either transcription activator-like effectors or CRISPR/Cas9, and corresponding small synthetic promoters (synPs) with minimal sequence identity to the host’s endogenous promoters. The resulting collection of functional synTF/synP pairs confers very low background expression under uninduced conditions, while expression output upon induction of the various synTFs covers a wide range and reaches induction factors of up to 400. The broad spectrum of expression strengths that is achieved will be useful for various experimental setups, e.g., the transcriptional balancing of expression levels within heterologous pathways or the construction of artificial regulatory networks. Furthermore, our analyses reveal simple rules that enable the tuning of synTF expression output, thereby allowing easy modification of a given synTF/synP pair. This will make it easier for researchers to construct tailored transcriptional control systems.
Aldehyde oxidases (AOXs) are molybdo-flavoenzymes characterized by broad substrate specificity, oxidizing aromatic/aliphatic aldehydes into the corresponding carboxylic acids and hydroxylating various heteroaromatic rings. Mammals are characterized by a complement of species specific AOX isoenzymes, that varies from one in humans (AOX1) to four in rodents (AOX1, AOX2, AOX3 and AOX4). The physiological function of mammalian AOX isoenzymes is unknown, although human AOX1 is an emerging enzyme in phase-I drug metabolism. Indeed, the number of therapeutic molecules under development which act as AOX substrates is increasing. The recent crystallization and structure determination of human AOX1 as well as mouse AOX3 has brought new insights into the mechanisms underlying substrate/inhibitor binding as well as the catalytic activity of this class of enzymes.
Sucrose nonfermenting related kinase1 (SnRK1) is a conserved energy sensor kinase that regulates cellular adaptation to energy deficit in plants. Activation of SnRK1 leads to the down-regulation of ATP-consuming biosynthetic processes and the stimulation of energy-generating catabolic reactions by transcriptional reprogramming and posttranslational modifications. Although considerable progress has been made during the last years in understanding the SnRK1 signaling pathway, many of its components remain unidentified. Here, we show that the catalytic alpha-subunits KIN10 and KIN11 of the Arabidopsis (Arabidopsis thaliana) SnRK1 complex interact with the STOREKEEPER RELATED1/G-Element Binding Protein (STKR1) inside the plant cell nucleus. Overexpression of STKR1 in transgenic Arabidopsis plants led to reduced growth, a delay in flowering, and strongly attenuated senescence. Metabolite profiling revealed that the transgenic lines exhausted their carbohydrates during the dark period to a greater extent than the wild type and accumulated a range of amino acids. At the global transcriptome level, genes affected by STKR1 overexpression were broadly associated with systemic acquired resistance, and transgenic plants showed enhanced resistance toward a virulent strain of the biotrophic oomycete pathogen Hyaloperonospora arabidopsidis Noco2. We discuss a possible connection of STKR1 function, SnRK1 signaling, and plant immunity.
Periphyton is a major contributor to aquatic primary production and often competes with phytoplankton and submerged macrophytes for resources. In nutrient-limited environments, mobilization of sediment nutrients by groundwater can significantly affect periphyton (including epiphyton) development in shallow littoral zones and may affect other lake primary producers. We hypothesized that epiphyton growth in the littoral zone of temperate oligomesotrophic hard-water lakes could be stimulated by nutrient (especially P) supply via lacustrine groundwater discharge (LGD). We compared the dry mass, chlorophyll a (chl a), and nutrient content of epiphyton grown on artificial substrates at different sites in a groundwater-fed lake and in experimental chambers with and without LGD. During the spring-summer periods, epiphyton accumulated more biomass, especially algae, in littoral LGD sites and in experimental chambers with LGD compared to controls without LGD. Epiphyton chl a accumulation reached up to 46 mg chl a/m(2) after 4 wk when exposed to LGD, compared to a maximum of 23 mg chl a/m(2) at control (C) sites. In the field survey, differences in epiphyton biomass between LGD and C sites were most pronounced at the end of summer, when epilimnetic P concentrations were lowest and epiphyton C:P ratios indicated P limitation. Groundwater-borne P may have facilitated epiphyton growth on macrophytes and periphyton growth on littoral sediments. Epiphyton stored up to 35 mg P/m(2) in 4 wk (which corresponds to 13% of the total P content of the littoral waters), preventing its use by phytoplankton, and possibly contributing to the stabilization of a clear-water state. However, promotion of epiphyton growth by LGD may have contributed to an observed decline in macrophyte abundance caused by epiphyton shading and a decreased resilience of small charophytes to drag forces in shallow littoral areas of the studied lake in recent decades.
Biodiversity and intact ecological interactions form the basis for functional and resilient ecosystems that maintain optimal conditions for life on earth. During the second half of the 20th century, especially land-use changes and an intensification of agricultural management caused an unprecedented loss of biodiversity in agroecosystems worldwide. Concerns have been raised that the ongoing loss of biodiversity would ultimately lead to impaired ecological interactions and ecosystem functioning in agricultural landscapes. In order to stop biodiversity loss while producing enough food for a growing world population, we need to gain detailed knowledge on ecological interactions and the functioning of agroecosystems as a whole.
Bats (Chiroptera) represent an important component of global biodiversity, occupy a variety of ecological niches and fulfill numerous ecosystem services. Especially in temperate zone agroecosystems, bats were repeatedly reported to contribute to the reduction of pest insects above intensively managed arable fields. However, bat populations have been decimated by the consequence of land-use intensification which led to their legal protection status in the European Union (Council of Europe, 1979). The increasing number of wind turbines on arable fields poses an additional threat to bats as they might get injured or killed when flying too close to wind turbine blades. Although a large amount of land area is covered by arable fields, not much is known about how bats use the intensively managed agricultural landscape.
In the present thesis, my general aim was to identify the relevance of factors at different spatiotemporal scales for shaping species-specific bat activity above intensively managed arable fields. Therefore, I repeatedly monitored bat activity above open arable fields in a landscape dominated by agriculture which is located in Northeast Brandenburg, Germany. From 2012 to 2014, I recorded echolocation calls of bats on a total of 113 sites using a passive acoustic approach. I obtained a total of 27,779 recordings, identified the recorded echolocation calls manually to species level and calculated species-specific bat activity measures. Depending on the focus of research, I modeled the obtained species-specific activity measures using generalized linear and additive mixed effect models. In Chapter I, I focused on identifying seasonal patterns in several species-specific activity measures of different functional bat groups. In Chapter II, I investigated small-scale effects of landscape elements, such as hedgerows and forest edges, on the flight and foraging activity of different bat species along the edge-field interface. Additionally, I aimed at identifying whether these effects are influenced by small ponds located within arable field and whether these effects change across seasons. In Chapter III, my aim was to investigate the interaction between factors from different spatiotemporal levels on the flight and foraging activity of bats above arable fields. At the small spatial scale, I focused on prey availability, at a large spatial scale on selected parameters which describe landscape characteristics and at the temporal scale on seasonal effects.
The major findings obtained in each chapter can be summarized in the following three points. The first major finding is that not only landscape elements on a small spatial scale, e.g. a hedgerow at the edge of an arable field, but also landscape characteristics on a large spatial scale, e.g. landscape composition, shaped species-specific bat activity above open arable fields. This activity was also strongly influenced by interactions between landscape characteristics and local prey availability. Second, the influence of landscape elements and characteristics on bat activity above arable fields was not constant over time but changed across seasons with the strongest impact during summer as compared to spring and autumn. Third, I found indications of ecosystem service provided by N. noctula and P. nathusii in all three chapters, as especially these bat species were repeatedly found to forage above arable fields. This foraging activity was positively influenced by the proximity to landscape elements at the edge of the arable field but also by the presence of small ponds within the arable field.
In light of the obtained findings, I strongly recommend protecting and most importantly recreating semi-natural landscape elements in the agricultural landscape. Furthermore, I strongly recommend against the construction of wind turbines close to these linear woody vegetation edges as bats were found to be active close to these landscape elements. Additionally, the operation times for wind turbines should be down-regulated during the mating and migration period in autumn due to high bat activity above arable fields. Since bats are considered being good bioindicators, effective conservation measures for bats might contribute to the protection of species from other taxa leading to an overall support of biodiversity in agricultural landscapes. In their entirety, the findings in this thesis contribute to the knowledge of different aspects of bat ecology and shed light on the complex interplay between factors from different spatiotemporal levels that shape bat activity above arable fields. Additionally, they can serve as a basis for the improvement and development of conservation measures for bats in agricultural landscapes.
Background: We investigated height of Norwegian conscripts in view of the hypothesis of a "community effect on height" using autocorrelation analysis of district heights within a time-span of 20 years at the end of the 19th century and correlations between neighboring districts at this time. Material and methods: After digitalizing available body height data of Norwegian draftees in 1877-1878, 1880 (averaged as 1878), and 1895-1897 (averaged as 1896) we calculated the magnitude of autocorrelation of body height within the same municipality at different time points. Furthermore, we generated three different neighborhood networks, (1) based on Euclidean distances, (2) a minimum spanning tree build on those distances, (3) a network founded on real world road connections. The networks were used to determine the correlation between body height of neighboring districts depending on the number of edges required to connect two municipalities. Results: The autocorrelation value for body heights was around r = 0.5 (for all p < 0.001) in the years 1878 and 1896. The correlation between neighboring districts varied in the Euclidean distance based network between 0.47 and 0.27 approximately for both years in a sorted order, descending from nearest (0-50 km) to farthest (150-200 km, for all p < 0.001). First order neighbors in the minimum spanning tree network correlation was 0.36 in 1878 and 0.42 in 1896 (for all p < 0.001). The values of neighbor correlation in the road connection based network ranged in 1878 from 0.42 (first order neighbors) to 0.17 (forth order neighbors, for all p < 0.01) and in 1896 from 0.46 (first order neighbors) to 0.12 (forth order neighbors, for all p < 0.05). Conclusion: This initial study of Norwegian conscript height data from the 19th century showed significant medium sized effects for the within district autocorrelation between 1878 and 1896 as well as medium neighborhood correlation, slightly lower in comparison to a recent study regarding Swiss conscripts. Digitalizing more data from other years in this and later time spans as well as using older road and ship connections instead of the actual road data might stabilize and improve those findings.
Background:
Physical growth of children and adolescents depends on the interaction of genetic and environmental factors e.g. diet and living conditions. Aim: We aim to discuss the influence of socioeconomic situation, using income inequality and GDP per capita as indicators, on body height, body weight and the variability of height and weight in infants and juveniles.
Material and methods:
We re-analyzed data from 439 growth studies on height and weight published during the last 35 years. We added year-and country-matched GDP per capita (in current US$) and the Gini coefficient for each study. The data were divided into two age groups: infants (age 2) and juveniles (age 7). We used Pearson correlation and principal component analysis to investigate the data.
Results:
Gini coefficient negatively correlated with body height and body weight in infants and juveniles. GDP per capita showed a positive correlation with height and weight in both age groups. In infants the standard deviation of height increases with increasing Gini coefficient. The opposite is true for juveniles. A correlation of weight variability and socioeconomic indicators is absent in infants. In juveniles the variability of weight increases with declining Gini coefficient and increasing logGDP per capita.
Discussion:
Poverty and income inequality are generally associated with poor growth in height and weight. The analysis of the within-population height and weight variations however, shows that the associations between wealth, income, and anthropometric parameters are very complex and cannot be explained by common wisdom. They point towards an independent regulation of height and weight.
Periodic environments determine the life cycle of many animals across the globe and the timing of important life history events, such as reproduction and migration. These adaptive behavioural strategies are complex and can only be fully understood (and predicted) within the framework of natural selection in which species adopt evolutionary stable strategies. We present sOAR, a powerful and user-friendly implementation of the well-established framework of optimal annual routine modelling. It allows determining optimal animal life history strategies under cyclic environmental conditions using stochastic dynamic programming. It further includes the simulation of population dynamics under the optimal strategy. sOAR provides an important tool for theoretical studies on the behavioural and evolutionary ecology of animals. It is especially suited for studying bird migration. In particular, we integrated options to differentiate between costs of active and passive flight into the optimal annual routine modelling framework, as well as options to consider periodic wind conditions affecting flight energetics. We provide an illustrative example of sOAR where food supply in the wintering habitat of migratory birds significantly alters the optimal timing of migration. sOAR helps improving our understanding of how complex behaviours evolve and how behavioural decisions are constrained by internal and external factors experienced by the animal. Such knowledge is crucial for anticipating potential species’ response to global environmental change.