RESUMO
Contents 1049 I. 1049 II. 1050 III. 1050 IV. 1050 V. 1051 VI. 1051 VII. 1052 VIII. 1052 1053 References 1053 SUMMARY: Plant roots absorb potassium ions from the soil and transport them in the xylem via the transpiration stream to the shoots. There, in source tissues where sufficient chemical energy (ATP) is available, K+ is loaded into the phloem and then transported with the phloem stream to other parts of the plant; in part, transport is also back to the roots. This, at first sight, futile cycling of K+ has been uncovered to be part of a sophisticated mechanism that (1) enables the shoot to communicate its nutrient demand to the root, (2) contributes to the K+ nutrition of transport phloem tissues and (3) transports energy stored in the K+ gradient between phloem cytosol and the apoplast. This potassium battery can be tapped by opening AKT2-like potassium channels and then enables the ATP-independent energization of other transport processes, such as the reloading of sucrose. Insights into these mechanisms have only been possible by combining wet-lab and dry-lab experiments by means of computational cell biology modeling and simulations.
Assuntos
Metabolismo Energético , Floema/metabolismo , Potássio/metabolismo , Proteínas de Plantas/metabolismo , Canais de Potássio/metabolismo , Sacarose/metabolismoRESUMO
Engineering artificial networks from modular components is a major challenge in synthetic biology. In the past years, single units, such as switches and oscillators, were successfully constructed and implemented. The effective integration of these parts into functional artificial self-regulated networks is currently on the verge of breakthrough. Here, we describe the design of a modular higher-order synthetic genetic network assembled from two independent self-sustained synthetic units: repressilators coupled via a modified quorum-sensing circuit. The isolated communication circuit and the network of coupled oscillators were analysed in mathematical modelling and experimental approaches. We monitored clustering of cells in groups of various sizes. Within each cluster of cells, cells oscillate synchronously, whereas the theoretical modelling predicts complete synchronization of the whole cellular population to be obtained approximately after 30 days. Our data suggest that self-regulated synchronization in biological systems can occur through an intermediate, long term clustering phase. The proposed artificial multicellular network provides a system framework for exploring how a given network generates a specific behaviour.