Auxins and cytokinins : the role of subcellular organization on homeostasis

Plant hormones are master regulators of plant growth and development. Better knowledge of their spatial signaling and homeostasis (transport and metabolism) on the lowest structural levels (cellular and subcellular) is therefore crucial to a better understanding of developmental processes in plants. Recent progress in phytohormone analysis at the cellular and subcellular levels has greatly improved the effectiveness of isolation protocols and the sensitivity of analytical methods. This review is mainly focused on homeostasis of two plant hormone groups, auxins and cytokinins. It will summarize and discuss their tissue- and cell-type specific distributions at the cellular and subcellular levels

Resonance Assignments and Secondary Structure Predictions of the As(III) Metallochaperone ArsD in Solution

ArsD is a metallochaperone that delivers As(III) to the ArsA ATPase, the catalytic subunit of the ArsAB pump encoded by the arsRDABC operon of Escherichia coli plasmid R773. Conserved ArsD cysteine residues (Cys12, Cys13 and Cys18) construct the As(III) binding site of the protein, however a global structural understanding of this arsenic binding remains unclear. We have obtained NMR assignments for ArsD as a starting point for probing structural changes on the protein that occur in response to metalloid binding and upon formation of a complex with ArsA. The predicted solution structure of ArsD is in agreement with recently published crystallographic structural results

Medical ethnobotany of herbal practitioners in the Turkestan Range, southwestern Kyrgyzstan

This study recorded and analyzed traditional knowledge of medicinal plants in the Turkestan Range in southwestern Kyrgyzstan, where ethnobotanical knowledge has been largely under-documented to date. Data was collected through participant observation and both semi-structured and in-depth interviews with 10 herbal specialists. A total of 50 medicinal plant taxa were documented, distributed among 46 genera and 27 botanical families. In folk medicine they are applied in 75 different formulations, which cure 63 human and three animal ailments. Quantitative ethnobotanical indices were calculated to analyze traditional knowledge of the informants and to determine the cultural importance of particular medicinal plants. Ziziphora pamiroalaica, Peganum harmala, and Inula orientalis obtained the highest use value (UV). The best-represented and culturally important families were Lamiaceae, Asteraceae, and Apiaceae. Gastro-intestinal system disorders was the most prevalent ailment category. Most medicinal plants were gathered from nearby environments, however, species with a higher cultural value occurred at distant rather than nearby collection sites. The findings of this study proved the gap in documentation of traditional knowledge in Kyrgyzstan, indicating that further studies on the traditional use of wild plant resources could bring important insights into ecosystems’ diversity with implications to human ecology and bio-cultural diversity conservation in Central Asia

A Model-based Design Framework for Application-specific Heterogeneous Systems

The increasing heterogeneity of computing systems enables higher performance and power efficiency. However, these improvements come at the cost of increasing the overall complexity of designing such systems. These complexities include constructing implementations for various types of processors, setting up and configuring communication protocols, and efficiently scheduling the computational work. The process for developing such systems is iterative and time consuming, with no well-defined performance goal. Current performance estimation approaches use source code implementations that require experienced developers and time to produce. We present a framework to aid in the design of heterogeneous systems and the performance tuning of applications. Our framework supports system construction: integrating custom hardware accelerators with existing cores into processors, integrating processors into cohesive systems, and mapping computations to processors to achieve overall application performance and efficient hardware usage. It also facilitates effective design space exploration using processor models (for both existing and future processors) that do not require source code implementations to estimate performance. We evaluate our framework using a variety of applications and implement them in systems ranging from low power embedded systems-on-chip (SoC) to high performance systems consisting of commercial-off-the-shelf (COTS) components. We show how the design process is improved, reducing the number of design iterations and unnecessary source code development ultimately leading to higher performing efficient systems