Fixation in finite populations evolving in fluctuating environments

The environment in which a population evolves can have a crucial impact on selection. We study evolutionary dynamics in finite populations of fixed size in a changing environment. The population dynamics are driven by birth and death events. The rates of these events may vary in time depending on the state of the environment, which follows an independent Markov process. We develop a general theory for the fixation probability of a mutant in a population of wild-types, and for mean unconditional and conditional fixation times. We apply our theory to evolutionary games for which the payoff structure varies in time. The mutant can exploit the environmental noise; a dynamic environment that switches between two states can lead to a probability of fixation that is higher than in any of the individual environmental states. We provide an intuitive interpretation of this surprising effect. We also investigate stationary distributions when mutations are present in the dynamics. In this regime, we find two approximations of the stationary measure. One works well for rapid switching, the other for slowly fluctuating environments.     

Active-matting-based object tracking with color cues

The linear canonical transform (LCT) has been shown to be a useful and powerful analyzing tool in optics and signal processing. Many results of this transform are already known, including its uncertainty principles (UPs). The existing UPs of the LCT for complex signals can only provide sharp bounds with LCT parameters satisfying $a_1/b_1\ne a_2/b_2$ . However, in most cases, we strive to find a lower bound, but not a sharper bound, since a lower bound often leads to optimization problems in signal processing applications. In this paper, we first present a much briefer and more transparent derivation to obtain a general uncertainty principle of the LCT for arbitrary signals via operator methods. Then, we derive lower bounds of three UPs of the LCT for complex signals, which are tighter lower bounds than the existing ones. We also prove that the derived results hold for arbitrary LCT parameters.     

Beitr?ge zur Kenntnis der Fruchts?fte

Ohne ZusammenfassungMitteilung aus dem Kgl. Technologischen Institut (Versuchsstation für Gärungsgewerbe) in Hohenheim.     

IL4‐Receptor‐Targeted Dual Antitumoral Apoptotic Peptide—siRNA Conjugate Lipoplexes

Targeted delivery remains the major limitation in the development of small interfering RNA (siRNA) therapeutics. The successful siRNA multistep delivery requires precise carriers of substantial complexity. To achieve this, a monodisperse carrier is presented, synthesized by solid‐phase supported chemistry. The sequence‐defined assembly contains two oleic acids attached to a cationizable oligoaminoamide backbone in T‐shape configuration, and a terminal azide functionality for coupling to the atherosclerotic plaque‐specific peptide‐1 (AP‐1) as the cell targeting ligand for interleukin‐4 receptor (IL‐4R) which is overexpressed in a variety of solid cancers. For combined cytosolic delivery with siRNA, different apoptotic peptides (KLK, BAK, and BAD) are covalently conjugated via bioreversible disulfide linkage to the 5′‐end of the siRNA sense strand. siRNA‐KLK conjugates provide the highest antitumoral potency. The optimized targeted carrier is complexed with dual antitumoral siEG5‐KLK conjugates. The functionality of each subdomain is individually confirmed. The lipo‐oligomer confers stable assembly of siRNA conjugates into spherical 150–250 nm sized nanoparticles. Click‐shielding with dibenzocyclootyne‐PEG‐AP‐1 (DBCO‐PEG‐AP‐1) mediates an IL‐4R‐specific cell targeting and gene silencing in tumor cells. Most importantly, formulation of the siEG5‐KLK conjugate displays enhanced apoptotic tumor cell killing due to the combined effect of mitotic arrest by EG5 gene silencing and mitochondrial membrane disruption by KLK.     

Mycotoxin analysis: An update

Mycotoxin contamination of cereals and related products used for feed can cause intoxication, especially in farm animals. Therefore, efficient analytical tools for the qualitative and quantitative analysis of toxic fungal metabolites in feed are required. Current methods usually include an extraction step, a clean-up step to reduce or eliminate unwanted co-extracted matrix components and a separation step with suitably specific detection ability. Quantitative methods of analysis for most mycotoxins use immunoaffinity clean-up with high-performance liquid chromatography (HPLC) separation in combination with UV and/or fluorescence detection. Screening of samples contaminated with mycotoxins is frequently performed by thin layer chromatography (TLC), which yields qualitative or semi-quantitative results. Nowadays, enzyme-linked immunosorbent assays (ELISA) are often used for rapid screening. A number of promising methods, such as fluorescence polarization immunoassays, dipsticks, and even newer methods such as biosensors and non-invasive techniques based on infrared spectroscopy, have shown great potential for mycotoxin analysis. Currently, there is a strong trend towards the use of multi-mycotoxin methods for the simultaneous analysis of several of the important Fusarium mycotoxins, which is best achieved by LC-MS/MS (liquid chromatography with tandem mass spectrometry). This review focuses on recent developments in the determination of mycotoxins with a special emphasis on LC-MS/MS and emerging rapid methods.