Behavior of a hammerhead ribozyme in aqueous solution at medium to high temperatures

The “RNA world” hypothesis proposes that—early in the evolution of life—RNA molecules played important roles both in information storage and in enzymatic functions. However, this hypothesis seems to be inconsistent with the concept that life may have emerged under hydrothermal conditions since RNA molecules are considered to be labile under such extreme conditions. Presently, the possibility that the last common ancestor of the present organisms was a hyperthermophilic organism which is important to support the hypothesis of the hydrothermal origin of life has been subject of strong discussions. Consequently, it is of importance to study the behavior of RNA molecules under hydrothermal conditions from the viewpoints of stability, catalytic functions, and storage of genetic information of RNA molecules and determination of the upper limit of temperature where life could have emerged. In the present work, self-cleavage of a natural hammerhead ribozyme was examined at temperatures 10–200?°C. Self-cleavage was investigated in the presence of Mg²⁺, which facilitates and accelerates this reaction. Self-cleavage of the hammerhead ribozyme was clearly observed at temperatures up to 60?°C, but at higher temperatures self-cleavage occurs together with hydrolysis and with increasing temperature hydrolysis becomes dominant. The influence of the amount of Mg²⁺ on the reaction rate was also investigated. In addition, we discovered that the reaction proceeds in the presence of high concentrations of monovalent cations (Na⁺ or K⁺), although very slowly. Furthermore, at high temperatures (above 60?°C), monovalent cations protect the ribozyme against degradation.     

Complex reproductive cycle inEucheilota paradoxica (Hydrozoa: Leptomedusae): Medusae,polyps and frustules produced from medusa stage

Eucheilota paradoxica Mayer, 1900 is a small leptomedusa unknown in the Mediterranean Sea until 1977. Since then, it has become endemic and occurs in great abundance in autumn in the bay of Villefranche-sur-mer. Since no sexual stages have ever been collected, either from the Atlantic Ocean or from the Mediterranean Sea, we decided to investigate the still unknown life cycle of this species. Specimens were obtained in the bay of Villefranche-sur-mer from plankton hauls between 0 and 50 m depth during October and November 1986. At temperatures >18°C, the medusa reproduces intensively by asexual medusal budding (one young medusa liberated per two days). This asexual reproduction explains the rapid proliferation of the species and the origin of the large population every autumn. In cultures maintained at temperatures <18°C, two other reproduction modes, not yet reported in a leptomedusa, were observed: (1) At 16° to 17°C, frustules bud along the canals; these frustules are dormant, giving rise to a small polyp when the temperature increases once more above 18°C. (2) At temperatures close to 15°C each medusa, in place of the gonads, differentiate into one or two polyps; these polyps develop progressively, concomitant with gradual regression of the mother medusa.     

Stochastic Transfer Function Model and Neural Networks to Estimate Soil Moisture1

Abstract: A practical methodology is proposed to estimate the three‐dimensional variability of soil moisture based on a stochastic transfer function model, which is an approximation of the Richard’s equation. Satellite, radar and in situ observations are the major sources of information to develop a model that represents the dynamic water content in the soil. The soil‐moisture observations were collected from 17 stations located in Puerto Rico (PR), and a sequential quadratic programming algorithm was used to estimate the parameters of the transfer function (TF) at each station. Soil texture information, terrain elevation, vegetation index, surface temperature, and accumulated rainfall for every grid cell were input into a self‐organized artificial neural network to identify similarities on terrain spatial variability and to determine the TF that best resembles the properties of a particular grid point. Soil moisture observed at 20 cm depth, soil texture, and cumulative rainfall were also used to train a feedforward artificial neural network to estimate soil moisture at 5, 10, 50, and 100 cm depth. A validation procedure was implemented to measure the horizontal and vertical estimation accuracy of soil moisture. Validation results from spatial and temporal variation of volumetric water content (vwc) showed that the proposed algorithm estimated soil moisture with a root mean squared error (RMSE) of 2.31% vwc, and the vertical profile shows a RMSE of 2.50% vwc. The algorithm estimates soil moisture in an hourly basis at 1 km spatial resolution, and up to 1 m depth, and was successfully applied under PR climate conditions.     

25 years of higher‐order confirmatory factor analysis in the organizational sciences: A critical review and development of reporting recommendations

We discuss how confirmatory factor analysis results should be used to examine potential higher‐order constructs and advocate that researchers present five types of evidence, which are as follows: (1) the ability of the higher‐order model to reproduce the observed covariation among manifest variables; (2) the ability of the higher‐order model to reproduce the observed covariation among manifest variables better than more parsimonious alternative models—and no less well than less parsimonious alternative models; (3) the ability of the higher‐order model to reproduce the observed covariation among lower‐order factors; (4) the ability of the higher‐order factor to explain variation in lower‐order factors; and (5) the ability of the higher‐order factor to explain variation in manifest variables. We illustrate how this type of evidence could be presented with a worked example and contrast our recommendations with the manner in which higher‐order confirmatory factor analysis has been used in the organizational sciences over the past 25 years to support claims regarding higher‐order constructs such as core self‐evaluations and transformational leadership. Our review shows that a substantial proportion of the 44 examined articles failed to present enough evidence to allow readers to understand the size and importance of higher‐order factors. Copyright © 2015 John Wiley & Sons, Ltd.