The SOPHIE search for northern extrasolar planets: X. Detection and characterization of giant planets by the dozen

We present new radial velocity measurements of eight stars that were secured with the spectrograph SOPHIE at the 193 cm telescope of the Haute-Provence Observatory. The measurements allow detecting and characterizing new giant extrasolar planets. The host stars are dwarfs of spectral types between F5 and K0 and magnitudes of between 6.7 and 9.6; the planets have minimum masses Mp sin i of between 0.4 to 3.8 MJup and orbitalperiods of several days to several months. The data allow only single planets to be discovered around the first six stars (HD 143105, HIP 109600, HD 35759, HIP 109384, HD 220842, and HD 12484), but one of them shows the signature of an additional substellar companion in the system. The seventh star, HIP 65407, allows the discovery of two giant planets that orbit just outside the 12:5 resonance in weak mutual interaction. The last star, HD 141399, was already known to host a four-planet system; our additional data and analyses allow new constraints to be set on it. We present Keplerian orbits of all systems, together with dynamical analyses of the two multi-planet systems. HD 143105 is one of the brightest stars known to host a hot Jupiter, which could allow numerous follow-up studies to be conducted even though this is not a transiting system. The giant planets HIP 109600b, HIP 109384b, and HD 141399c are located in the habitable zone of their host star.

Phytochelatin signal tranduction and cadmium chelation in plants

As plantas utilizam diversas estratégias de sinalização para reconhecer e responder aos stresses ambientais. A maioria das vias de transdução de sinais partilham um sinal genérico, normalmente a modulação dos níveis intracelulares de Ca2+. Esta por sua vez pode iniciar uma cascata de fosforilação proteica que finalmente afecta as proteínas directamente envolvidas na protecção celular ou culmina em factores de transcrição que vão determinar a resposta fisiológica ao stresse. A percepção destes sinais e a compreensão de como estes podem activar as respostas adaptativas são factores-chave para a tolerância das plantas a stresses abióticos. Um dos principais stresses abóticos que restrigem o crescimento das plantas é a presença de metais pesados. A produção de fitoquelatinas e a subsequente quelação dos metais é o mecanismo mais conhecido de tolerância ao stresse metálico em plantas. Fitoquelatinas (PCs) são péptidos com grupos tiol que são sintetizados através da transpeptidação da glutationa (GSH), pela acção da enzima fitoquelatina sintase (PCS). No entanto, até ao momento, as vias de sinalização que levam à síntese de fitoquelatinas e à percepção do stresse metálico são pouco compreendidas. Dentro deste contexto, o presente trabalho foi elaborado com o intuito de elucidar a via de sinalização através da qual o cádmio é detectado pelas células vegetais e induz a síntese de PCs. Quase todos, os estudos de stresses abióticos em plantas apontam para o facto de a sua sinalização se basear nos mesmos tipos de sinais moleculares, nomeadamente a sinalização por cálcio, a fosforilação proteica e a indução de espécies reactivas de oxigénio (ROS). Trabalhos recentes sugerem que a sinalização de PCs poderá envolver todos estes parâmetros. Assim, uma primeira abordagem foi efectuada para compreender a síntese de PCs na espécie Arabidopsis thaliana, através da monitorizaçção da actividade de enzimas relacionadas, a γ-EC sintetase, GSH sintetase e a PC sintase (PCS), assim como o tempo necessário para o elongamento das PCs e a sua acumulação. Seguidamente, ao longo deste processo foi analisada a expressão de sinais específicos, associados com sinais de cálcio, fosforilação proteica e sinalização por ROS. A importância destes factores na síntese de PCs foi também avaliada através do uso de moduladores farmacológicos de cálcio e fosfatases proteicas e também pela indução de stresse oxidativo. Os resultados demonstraram novos dados sobre o papel do cálcio e da fosforilação proteica na produção de PCs e na síntese de GSH, revelando que a actvidade da PCS é regulada por fosforilação e que a sinalização de cálcio pode mediar a síntese de GSH. O envolvimento da sinalização de ROS na síntese de GSH, atráves de crosstalk com a sinalização de cálcio também foi proposta. Assim, os resultados aqui apresentados descrevem uma possível via de sinalização de cádmio nas plantas e da indução de fitoquelatinas. Este trabalho poderá ser portanto muito útil na implementação de novas metodologias de agricultura sustentável e práticas de fitorremediação em solos contaminados com metais pesados.

Metabonomic studies to assess beer quality and stability

The work reported in this thesis aimed at applying the methodology known as metabonomics to the detailed study of a particular type of beer and its quality control, with basis on the use of multivariate analysis (MVA) to extract meaningful information from given analytical data sets. In Chapter 1, a detailed description of beer is given considering the brewing process, main characteristics and typical composition of beer, beer stability and the commonly used analytical techniques for beer analysis. The fundamentals of the analytical methods employed here, namely nuclear magnetic resonance (NMR) spectroscopy, gas-chromatography-mass spectrometry (GC-MS) and mid-infrared (MIR) spectroscopy, together with the description of the metabonomics methodology are described shortly in Chapter 2. In Chapter 3, the application of high resolution NMR to characterize the chemical composition of a lager beer is described. The 1H NMR spectrum obtained by direct analysis of beer show a high degree of complexity, confirming the great potential of NMR spectroscopy for the detection of a wide variety of families of compounds, in a single run. Spectral assignment was carried out by 2D NMR, resulting in the identification of about 40 compounds, including alcohols, amino acids, organic acids, nucleosides and sugars. In a second part of Chapter 3, the compositional variability of beer was assessed. For that purpose, metabonomics was applied to 1H NMR data (NMR/MVA) to evaluate beer variability between beers from the same brand (lager), produced nationally but differing in brewing site and date of production. Differences between brewing sites and/or dates were observed, reflecting compositional differences related to particular processing steps, including mashing, fermentation and maturation. Chapter 4 describes the quantification of organic acids in beer by NMR, using different quantitative methods: direct integration of NMR signals (vs. internal reference or vs. an external electronic reference, ERETIC method) and by quantitative statistical methods (using the partial least squares (PLS) regression) were developed and compared. PLS1 regression models were built using different quantitative methods as reference: capillary electrophoresis with direct and indirect detection and enzymatic essays. It was found that NMR integration results generally agree with those obtained by the best performance PLS models, although some overestimation for malic and pyruvic acids and an apparent underestimation for citric acid were observed. Finally, Chapter 5 describes metabonomic studies performed to better understand the forced aging (18 days, at 45 ºC) beer process. The aging process of lager beer was followed by i) NMR, ii) GC-MS, and iii) MIR spectroscopy. MVA methods of each analytical data set revealed clear separation between different aging days for both NMR and GC-MS data, enabling the identification of compounds closely related with the aging process: 5-hydroxymethylfurfural (5-HMF), organic acids, γ-amino butyric acid (GABA), proline and the ratio linear/branched dextrins (NMR domain) and 5-HMF, furfural, diethyl succinate and phenylacetaldehyde (known aging markers) and, for the first time, 2,3-dihydro-3,5-dihydroxy-6-methyl-4(H)-pyran-4-one xii (DDMP) and maltoxazine (by GC-MS domain). For MIR/MVA, no aging trend could be measured, the results reflecting the need of further experimental optimizations. Data correlation between NMR and GC-MS data was performed by outer product analysis (OPA) and statistical heterospectroscopy (SHY) methodologies, enabling the identification of further compounds (11 compounds, 5 of each are still unassigned) highly related with the aging process. Data correlation between sensory characteristics and NMR and GC-MS was also assessed through PLS1 regression models using the sensory response as reference. The results obtained showed good relationships between analytical data response and sensory response, particularly for the aromatic region of the NMR spectra and for GC-MS data (r > 0.89). However, the prediction power of all built PLS1 regression models was relatively low, possibly reflecting the low number of samples/tasters employed, an aspect to improve in future studies.