The relationship between physical and chemical conditions and low microbial diversity in the Blue Lagoon geothermal lake in Iceland

Abstract: The Blue Lagoon in Iceland is a shallow geothermal lake with average temperatures of 37°C, pH 7.5 and about 2.5% salinity. It was formed in 1976 from the effluents of the Svartsengi geothermal power plant and is saturated with silica which constantly precipitates in the lake. It has been colonized by a few types of specialized microorganisms which seem to proliferate in this unusual ecosystem. The average bacterial colony count in the lake was 1.3 × 10⁵ ml⁻¹ on plate count agar made with 50% Blue Lagoon fluid but 2.6 × 10⁶ ml⁻¹ when determined with the MPN method. A total of 99 isolates were purified and characterized by 54 phenotypic tests and then grouped using Numerical Taxonomy. At similarity values of 80%, one major cluster was formed containing 85% of the isolates. Four representative strains from this cluster were further characterized and all shown to be Gram-negative, obligately aerobic, non-motile rods. They were oxidase positive, catalase negative and grew optimally at 45°C and in 3.5% NaCl with doubling time of about 80 min.     

Initial increase and subsequent loss of vasoactive intestinal polypeptide immunoreactivity in acetylcholinesterase-positive neurons of mouse islets transplanted to the kidney

Collagenase-isolated pancreatic islets from C57BL/6J mice were cultured overnight and transplanted under the kidney capsule of non-diabetic syngeneic hosts. Cryostat sections of grafts and fresh islets were stained for acetylcholinesterase (AChE) and vasoactive intestinal polypeptide-like immunoreactivity (VIP-LI). Immediately after isolation, as well as 2-5 days after transplantation, VIP-LI- and AChE-positive nerve cell bodies were clearly seen in the periphery of the islets. Grafts 3-5 days old exhibited a transient and marked increase in VIP-LI nerve cell bodies and fibers. Seven days after transplantation VIP-LI nerve structures began to decrease in number and after 26-52 weeks they were no longer detectable. In contrast, AChE-positive nerve cell bodies and fibers, which showed a relatively constant pattern of distribution, were observed throughout the entire observation period. Restaining experiments demonstrated the coexistence of VIP-LI and AChE activity in the neurons. It is concluded that the grafts were extensively equipped with an intrinsic VIP-ergic and AChE-positive innervation. The initial, transient enhancement of VIP-LI expression probably reflects an adaptation of the neuro-insular complex to the preganglionic denervation, or to the ectopic environment, or both.     

Effect of potassium on uptake and incorporation of ammonium-nitrogen of rice plants

1. Rice was grown for 5 months in a sand solution culture at two different

1. K levels. The higher K supply resulted in a reduced uptake of Na +, Mg ++, and Ca++ by shoots. The uptake of NH4+-N of the shoots, however, was increased by the higher K supply.
2. In short term experiments, ill which the NH4+-N of the uptake solution was labelled by N 15, increasing K concentrations in the uptake solution did not depress the NH4 + uptake of young rice plants. Higher K concentrations in the uptake solution favoured the translocation of labelled N from the roots to the shoots. In some cases the higher K levels resulted also in an enhanced transfer rate of labelled N from the soluble to the insoluble N fraction.
3. Increasing levels of Mg++ in the uptake solution did not affect the uptake of labelled NH4-N.
4. I t is concluded that K + and NH4 + do not compete for common binding sites of the uptake mechanism in rice roots. This lacking competition suggests the speculation that NH4+-N is absorbed mainly in form of NH8 by plant cells.

     

Activity dynamics and propagation of synchronous spiking in locally connected random networks

Random network models have been a popular tool for investigating cortical network dynamics. On the scale of roughly a cubic millimeter of cortex, containing about 100,000 neurons, cortical anatomy suggests a more realistic architecture. In this locally connected random network, the connection probability decreases in a Gaussian fashion with the distance between neurons. Here we present three main results from a simulation study of the activity dynamics in such networks. First, for a broad range of parameters these dynamics exhibit a stationary state of asynchronous network activity with irregular single-neuron spiking. This state can be used as a realistic model of ongoing network activity. Parametric dependence of this state and the nature of the network dynamics in other regimes are described. Second, a synchronous excitatory stimulus to a fraction of the neurons results in a strong activity response that easily dominates the network dynamics. And third, due to that activity response an embedding of a divergent-convergent feed-forward subnetwork (as in synfire chains) does not naturally lead to a stable propagation of synchronous activity in the subnetwork; this is in contrast to our earlier findings in isolated subnetworks of that type. Possible mechanisms for stabilizing the interplay of volleys of synchronous spikes and network dynamics by specific learning rules or generalizations of the subnetworks are discussed.     

Cortactin Controls Surface Expression of the Voltage-gated Potassium Channel KV10.1

K_V10.1 is a voltage-gated potassium channel aberrantly expressed in many cases of cancer, and participates in cancer initiation and tumor progression. Its action as an oncoprotein can be inhibited by a functional monoclonal antibody, indicating a role for channels located at the plasma membrane, accessible to the antibody. Cortactin is an actin-interacting protein implicated in cytoskeletal architecture and often amplified in several types of cancer. In this study, we describe a physical and functional interaction between cortactin and K_V10.1. Binding of these two proteins occurs between the C terminus of K_V10.1 and the proline-rich domain of cortactin, regions targeted by many post-translational modifications. This interaction is specific for K_V10.1 and does not occur with K_V10.2. Cortactin controls the abundance of K_V10.1 at the plasma membrane and is required for functional expression of K_V10.1 channels.