Antisense ribosomes: rRNA as a vehicle for antisense RNAs.

Although rRNA has a conserved core structure, its size varies by more than 2000 bases between eubacteria and vertebrates, mostly due to the size variation of discrete variable regions. Previous studies have shown that insertion of foreign sequences into some of these variable regions has little effect on rRNA function. These properties make rRNA a potentially very advantageous vehicle to carry other RNA moieties with biological activity, such as "antisense RNAs." We have explored this possibility by inserting antisense RNAs targeted against one essential and two nonessential genes into a site within a variable region in the Tetrahymena thermophila large subunit rRNA gene. Expression of each of the three genes tested can be drastically reduced or eliminated in transformed T. thermophila lines containing these altered rRNAs. In addition, we found that only antisense rRNAs containing RNA sequences complementary to the 5' untranslated region of the targeted mRNA were effective. Lines containing antisense rRNAs targeted against either of the nonessential genes grow well, indicating that the altered rRNAs fulfill their functions within the ribosome. Since functional rRNA is extremely abundant and stable and comes into direct contact with translated mRNAs, it may prove to be an unparalleled vehicle for enhancing the activity of functional RNAs that act on mRNAs.

Use of binding energy by an RNA enzyme for catalysis by positioning and substrate destabilization.

A fundamental catalytic principle for protein enzymes in the use of binding interactions away from the site of chemical transformation for catalysis. We have compared the binding and reactivity of a series of oligonucleotide substrates and products of the Tetrahymena ribozyme, which catalyzes a site-specific phosphodiester cleavage reaction: CCCUCUpA+G<-->CCCUCU-OH+GpA. The results suggest that this RNA enzyme, like protein enzymes, can utilize binding interactions to achieve substantial catalysis via entropic fixation and substrate destabilization. The stronger binding of the all-ribose oligonucleotide product compared to an analog with a terminal 3' deoxyribose residue gives an effective concentration of 2200 M for the 3' hydroxyl group, a value approaching those obtained with protein enzymes and suggesting the presence of a structurally well defined active site capable of precise positioning. The stabilization from tertiary binding interactions is 40-fold less for the oligonucleotide substrate than the oligonucleotide product, despite the presence of the reactive phosphoryl group in the substrate. This destabilization is accounted for by a model in which tertiary interactions away from the site of bond cleavage position the electron-deficient 3' bridging phosphoryl oxygen of the oligonucleotide substrate next to an electropositive Mg ion. As the phosphodiester bond breaks and this 3' oxygen atom develops a negative charge in the transition state, the weak interaction of the substrate with Mg2+ becomes strong. These strategies of "substrate destabilization" and "transition state stabilization" provide estimated rate enhancements of approximately 280- and approximately 60-fold, respectively. Analogous substrate destabilization by a metal ion or hydrogen bond donor may be used more generally by RNA and protein enzymes catalyzing reactions of phosphate esters.

Chlorine contribution to quantitative structure and activity relationship models of disinfection by -products' quantum chemical descriptors and toxicities

Quantitative Structure-Activity Relationship (QSAR) has been applied extensively in predicting toxicity of Disinfection By-Products (DBPs) in drinking water. Among many toxicological properties, acute and chronic toxicities of DBPs have been widely used in health risk assessment of DBPs. These toxicities are correlated with molecular properties, which are usually correlated with molecular descriptors. The primary goals of this thesis are: (1) to investigate the effects of molecular descriptors (e.g., chlorine number) on molecular properties such as energy of the lowest unoccupied molecular orbital (E LUMO) via QSAR modelling and analysis; (2) to validate the models by using internal and external cross-validation techniques; (3) to quantify the model uncertainties through Taylor and Monte Carlo Simulation. One of the very important ways to predict molecular properties such as ELUMO is using QSAR analysis. In this study, number of chlorine (NCl ) and number of carbon (NC) as well as energy of the highest occupied molecular orbital (EHOMO) are used as molecular descriptors. There are typically three approaches used in QSAR model development: (1) Linear or Multi-linear Regression (MLR); (2) Partial Least Squares (PLS); and (3) Principle Component Regression (PCR). In QSAR analysis, a very critical step is model validation after QSAR models are established and before applying them to toxicity prediction. The DBPs to be studied include five chemical classes: chlorinated alkanes, alkenes, and aromatics. In addition, validated QSARs are developed to describe the toxicity of selected groups (i.e., chloro-alkane and aromatic compounds with a nitro- or cyano group) of DBP chemicals to three types of organisms (e.g., Fish, T. pyriformis, and P.pyosphoreum) based on experimental toxicity data from the literature. The results show that: (1) QSAR models to predict molecular property built by MLR, PLS or PCR can be used either to select valid data points or to eliminate outliers; (2) The Leave-One-Out Cross-Validation procedure by itself is not enough to give a reliable representation of the predictive ability of the QSAR models, however, Leave-Many-Out/K-fold cross-validation and external validation can be applied together to achieve more reliable results; (3) E LUMO are shown to correlate highly with the NCl for several classes of DBPs; and (4) According to uncertainty analysis using Taylor method, the uncertainty of QSAR models is contributed mostly from NCl for all DBP classes.

Filogenia molecular do gênero Morganella Zeller (Fungi, Basidiomycota) utilizando marcadores ITS

With the development and improvement of techniques for molecular studies and their subsequent application to the systematic, significant changes occurred in the classification of gasteroid fungi. The genus Morganella belongs to the family Lycoperdaceae, and is characterized mainly by lignicolous habit and presence of paracapilicium. Recent data demonstrate the discovery of new species for the group and the existence of a wide variety of species occurring in tropical ecosystems. However, the phylogenetic relationships of the genus, as well as the taxonomic classification, still require revisions to be better understood, the literature studies that address this issue are still very scarce. Thus, the objective of this study was to conduct studies of molecular phylogeny with species of the genus Morganella, to enhance understanding of the phylogeny of the group by including tropical species data. For this, the specimens used both for DNA extractions as for morphological review were obtained from Brazilian and foreign herbaria. For morphological analysis were observed characters relevant to the group's taxonomy. For phylogenetic analysis the Maximum Parsimony and Bayesian Analyzes were used, using the internal transcribed spacer (ITS) of nuclear ribosomal DNA. In phylogenetic analyzes, representatives from Morganella form a monophyletic clade with good support value and based on these results the genus should not be included as subgenus of Lycoperdon. The analysis indicated that M. pyriformis was not grouped with other representatives of Morganella, and therefore should not be included in the group as representative of Apioperdon subgenus because it is a Lycoperdon representative. Moreover, M. fuliginea, M. nuda, M. albostipitata, M. velutina, M. subincarnata are grouped with high support values within the genus Morganella. Morganella arenicola based on morphological and molecular studies does not aggregate in Morganella. Morganella nuda was grouped with M. fuliginea giving indications that can be treated as an intraspecific variation. The results of the analyzes favor to a better understanding of the species of Morganella. However, additional studies using a greater number of species, as well as other molecular markers are needed for a better understanding of the phylogenetic of Morganella.

(Table 2) Abundance of Radiolaria species in sediment samples from Core AMK4-340

Over the past 13 kyr the most significant natural changes in the Reykjanes ridge region took place within 13-7.8 kyr B.P. They resulted from alternating intensifications of the influence of the Labrador (LWM) and Norwegian-Greenland (NGWM) water masses. During 13-11.7 kyr B.P. natural conditions were governed by influence of LWM with sea surface temperature (SST) 3-5°C lower present one. During 11.7-10.3 kyr B.P. NGWM with SST 6-7°C lower present one predominated. During 10.3-9.5 kyr B.P. oceanographic conditions were rapidly transforming and approaching present ones controlled by interaction between LWM and North Atlantic water masses; SST abruptly increased almost to the present value. During 9.5-8.3 kyr B.P. intensification of NGWM led to small decrease of SST (1.5-2.5°C below present value; between 8.3 and 7.8 kyr B.P. natural conditions had approximated present ones and later on remained relatively stable; SST fluctuated with an amplitude of about 1.5°C.

Chlorine Contribution to Quantitative Structure and Activity Relationship Models of Disinfection By-Products' Quantum Chemical Descriptors and Toxicities

Quantitative Structure-Activity Relationship (QSAR) has been applied extensively in predicting toxicity of Disinfection By-Products (DBPs) in drinking water. Among many toxicological properties, acute and chronic toxicities of DBPs have been widely used in health risk assessment of DBPs. These toxicities are correlated with molecular properties, which are usually correlated with molecular descriptors. The primary goals of this thesis are: 1) to investigate the effects of molecular descriptors (e.g., chlorine number) on molecular properties such as energy of the lowest unoccupied molecular orbital (ELUMO) via QSAR modelling and analysis; 2) to validate the models by using internal and external cross-validation techniques; 3) to quantify the model uncertainties through Taylor and Monte Carlo Simulation. One of the very important ways to predict molecular properties such as ELUMO is using QSAR analysis. In this study, number of chlorine (NCl) and number of carbon (NC) as well as energy of the highest occupied molecular orbital (EHOMO) are used as molecular descriptors. There are typically three approaches used in QSAR model development: 1) Linear or Multi-linear Regression (MLR); 2) Partial Least Squares (PLS); and 3) Principle Component Regression (PCR). In QSAR analysis, a very critical step is model validation after QSAR models are established and before applying them to toxicity prediction. The DBPs to be studied include five chemical classes: chlorinated alkanes, alkenes, and aromatics. In addition, validated QSARs are developed to describe the toxicity of selected groups (i.e., chloro-alkane and aromatic compounds with a nitro- or cyano group) of DBP chemicals to three types of organisms (e.g., Fish, T. pyriformis, and P.pyosphoreum) based on experimental toxicity data from the literature. The results show that: 1) QSAR models to predict molecular property built by MLR, PLS or PCR can be used either to select valid data points or to eliminate outliers; 2) The Leave-One-Out Cross-Validation procedure by itself is not enough to give a reliable representation of the predictive ability of the QSAR models, however, Leave-Many-Out/K-fold cross-validation and external validation can be applied together to achieve more reliable results; 3) ELUMO are shown to correlate highly with the NCl for several classes of DBPs; and 4) According to uncertainty analysis using Taylor method, the uncertainty of QSAR models is contributed mostly from NCl for all DBP classes.