Ensemble methods for environmental data modelling with support vector regression

This paper investigates the use of ensemble of predictors in order to improve the performance of spatial prediction methods. Support vector regression (SVR), a popular method from the field of statistical machine learning, is used. Several instances of SVR are combined using different data sampling schemes (bagging and boosting). Bagging shows good performance, and proves to be more computationally efficient than training a single SVR model while reducing error. Boosting, however, does not improve results on this specific problem.

Sample size for measurement of root traits on common bean by image analysis

Evaluation of root traits may be facilitated if they are assessed on samples of the root system. The objective of this work was to determine the sample size of the root system in order to estimate root traits of common bean (Phaseolus vulgaris L.) cultivars by digital image analysis. One plant was grown per pot and harvested at pod setting, with 64 and 16 pots corresponding to two and four cultivars in the first and second experiments, respectively. Root samples were scanned up to the completeness of the root system and the root area and length were estimated. Scanning a root sample demanded 21 minutes, and scanning the entire root system demanded 4 hours and 53 minutes. In the first experiment, root area and length estimated with two samples showed, respectively, a correlation of 0.977 and 0.860, with these traits measured in the entire root. In the second experiment, the correlation was 0.889 and 0.915. The increase in the correlation with more than two samples was negligible. The two samples corresponded to 13.4% and 16.9% of total root mass (excluding taproot and nodules) in the first and second experiments. Taproot stands for a high proportion of root mass and must be deducted on root trait estimations. Samples with nearly 15% of total root mass produce reliable root trait estimates.

Using niche-based models to improve the sampling of rare species

Because data on rare species usually are sparse, it is important to have efficient ways to sample additional data. Traditional sampling approaches are of limited value for rare species because a very large proportion of randomly chosen sampling sites are unlikely to shelter the species. For these species, spatial predictions from niche-based distribution models can be used to stratify the sampling and increase sampling efficiency. New data sampled are then used to improve the initial model. Applying this approach repeatedly is an adaptive process that may allow increasing the number of new occurrences found. We illustrate the approach with a case study of a rare and endangered plant species in Switzerland and a simulation experiment. Our field survey confirmed that the method helps in the discovery of new populations of the target species in remote areas where the predicted habitat suitability is high. In our simulations the model-based approach provided a significant improvement (by a factor of 1.8 to 4 times, depending on the measure) over simple random sampling. In terms of cost this approach may save up to 70% of the time spent in the field.

Differential expression of 240 kDa ConA-binding glycoprotein in vitro and in vivo detected by immunochemical methods.

The expression of the 240 ConA-binding glycoprotein (240 kDa), a marker of synaptic junctions isolated from the rat cerebellum, was studied by immunocytochemical techniques in forebrain and cerebellum from rat and chicken, and in chick dorsal root ganglia. Parallel studies were carried out either on tissue sections or in dissociated cell cultures. In all cases non neuronal cells were not immunostained. The tissue sections of cerebellum from rat and chick exhibited 240 kDa glycoprotein immunoreactivity, especially in the molecular layer, while the forebrain sections from rat and chick did not show any significant immunostaining. In contrast, in dissociated forebrain cell cultures, all neuronal cells expressed 240 kDa glycoprotein immunoreactivity, while glial cells remained totally unlabelled. In tissue sections of dorsal root ganglion (DRG), sensory neurons expressed the 240 kDa only after the embryonic day (E 10). A large number of small neurons in the dorsomedial part of DRG were immunostained with 240 kDa glycoprotein antiserum, whereas only a small number of neurons in the ventrolateral part of the ganglia displayed 240 kDa immunoreactivity. In dissociated DRG cells cultures (mixed or neuron-enriched DRG cell cultures) all the neuronal perikarya but not their processes were stained. These studies indicate that 240 kDa glycoprotein expression is completely modified in cultures of neurons of CNS or PNS since the antigen becomes synthetized in high amount by all cells independent of synapse formation. This demonstrates that the expression of 240 kDa is controlled by the cell environment.

MOLECULAR MECHANISMS OF A ROOT SYSTEM TO SOIL ADAPTATION

Contrairement aux animaux, les plantes sont des organismes sessiles qui ne possèdent pas de mécanismes de fuite quand les conditions environnementales ne sont plus optimales. Les plantes sont physiquement ancrées à l'endroit où elles ont germées et aux conditions environnementales qui parfois peuvent être extrêmes. Les possibilités d'acclimatation de différentes espèces, parfois même de groupes de plantes au sein d'une même espèce, peuvent varier mais repose sur une adaptation génétique de la plante. L'adaptation est un long processus qui repose sur l'apparition spontanée de mutations génétiques, leur mise à l'épreuve face aux conditions environnementales, et dans le cas où la mutation a un impact positif sur la survie dans cet habitat particulier, elle sera maintenue dans une population donnée de plantes. De telles populations, appelées écotypes, sont le matériel de départ pour la découverte de gènes qui induisent un bénéfice pour la plante dans un environnement donné. La plante la plus étudiée en biologie moléculaire est Arabidopsis thaliana, l'arabette des prés. Dans une étude précédente, les racines d'écotypes naturels d'Arabidopsis ont été comparées et un écotype, Uk-1, avait le système racinaire le plus particulier. Cet écotype possède des racines beaucoup plus courtes et plus ramifiées que tous les autres écotypes. Des analyses plus poussées ont montré qu'une seule mutation dans un gène était la cause de ce phénotype, le gène BREVIS RADIX (BRX), mot latin signifiant 'racine courte'. Bien que l'on connaisse le gène BRX, on connaît finalement peu de choses sur son importance adaptative. Dans cette étude, nous avons montré que la mutation dans le gène BRX rend la plante plus résistante aux sols acides. Dans l'optique de mieux comprendre cette valeur adaptative du mutant brx, nous avons analysé dans quels tissus le gène BRX jouait un rôle important. Nous avons pu mettre en évidence que BRX est important pour le développement du protophloème. Le protophloème est un élément du système vasculaire de la plante. En général, les plantes supérieures possèdent deux systèmes de transport à longue distance. L'un d'eux, appelé xylème, transporte l'eau et les nutriments absorbés du sol par les racines vers les feuilles. Les feuilles sont le siège du processus de photosynthèse au cours duquel sont produits des sucres qui devront être distribués partout dans les autres parties de la plante. Le tissu cellulaire chargé de livrer les produits de la photosynthèse, ainsi que les régulateurs de croissance, est le phloème. Ce dernier regroupe le métaphloème et le protophloème. Le protophloème est essentiel pour la livraison des sucres synthétisés ainsi que des signaux de croissance aux pointes des racines, centres organogéniques responsables de la production de nouvelles cellules durant la phase de croissance de la racine. La structure du protophloème peut être décrite comme des tubes continus, vides et résistants, faits de cellules spécialisées qui permettent un transport efficace et rapide. Nous avons montré que dans les mutants brx ces canaux de transports sont discontinus car certaines cellules n'ont pas terminé leur cycle de différenciation. Ces cellules obstruent le conduit ce qui fait que les sucres et les signaux de croissance, comme l'auxine, ne peuvent plus être transportés aux méristèmes. En conséquence, la prolifération de l'activité des méristèmes est compromise, ce qui explique les racines courtes. Au lieu d'être délivré aux méristèmes, l'auxine se concentre en amont des méristèmes où cela provoque l'apparition de nouvelles racines branchées et, très probablement, l'activation des pompes à protons. Sur des sols acides, la concentration en ion H+ est très élevée. Ces ions entrent dans les cellules de la racine par diffusion et perturbent notablement la croissance des racines et de la plante en général. Si les cellules de la racine possédaient des pompes à protons hyperactives, elles seraient capable d'évacuer le surplus d'ions H+ en dehors de la cellule, ce qui leur assurerait de meilleures chances de survie sur sols acides. De fait, le mutant brx est capable d'acidifier le milieu de culture dans lequel il est cultivé plus efficacement que la plante sauvage. Ce mutant est également capable de donner plus de progéniture sur ce type de milieu de croissance que les plantes sauvages. Finalement, nous avons trouvé d'autres mutants brx en milieu naturel poussant sur sols acides, ce qui suggère fortement que la mutation du gène BRX est une des causes de l'adaptation aux sols acides. -- Plants as sessile organisms have developed different mechanisms to cope with the complex environmental conditions in which they live. Adaptation is the process through which traits evolve by natural selection to functionally improve in a given environmental context. An adaptation to the environment is characterized by the genetic changes in the entire populations that have been fixed by natural selection over many generations. BREVIS RADIX (BRX) gene was found through natural Arabidopsis accessions screen and was characterized as a root growth regulator since loss-of-function mutants exhibit arrested post-embryonic primary root growth in addition to a more branched root system. Although brx loss-of-function causes a complete alteration in root architecture, BRX activity is only required in the root vasculature, in particular in protophloem cell file. Protophloem is a part of the phloem transport network and is responsible for delivery of photo-assimilates and growth regulators, coming from the shoot through mature phloem component - metaphloem, to the all plant primary meristems. In order to perform its function, protophloem is the first cell file to differentiate within the root meristem. During this process, protophloem cells undergo a partial programmed cell death, during which they build a thicker cell wall, degrade nucleus and tonoplast while plasma membrane stays functional. Interestingly, protophloem cells enter elongation process only after differentiation into sieve elements is completed. Here we show that brx mutants fail to differentiate protophloem cell file properly, a phenotype that can be distinguished by a presence of a "gap" cells, non-differentiated cells between two flanking differentiated cells. Discontinuity of protophloem differentiation in brx mutants is considered to be a consequence of local hyperactivity of CLAVATA3/EMBRYO SURROUNDING REGION 45 (CLE45) - BARELY ANY MERISTEM 3 (BAM3) signaling module. Interestingly, a CLE45 activity, most probably at the level of receptor binding, can be modulated by apoplastic pH. Altogether, our results imply that the activity of proton pumps, expressed in non-differentiated cells of protophloem, must be maintained under certain threshold, otherwise CLE45-BAM3 signaling pathway will be stimulated and in turn protophloem will not differentiate. Based on vacuolar morphology, a premature cell wall acidification in brx mutants stochastically prevents the protophloem differentiation. Only after protophloem differentiates, proton pumps can be activated in order to acidify apoplast and to support enucleated protophloem multifold elongation driven by surrounding cells growth. Finally, the protophloem differentiation failure would result in an auxin "traffic jam" in the upper parts of the root, created from the phloem-transported auxin that cannot be efficiently delivered to the meristem. Physiologically, auxin "leakage" from the plant vasculature network could have various consequences, since auxin is involved in the regulation of almost every aspect of plant growth and development. Thus, given that auxin stimulates lateral roots initiation and growth, this scenario explains more branched brx root system. Nevertheless, auxin is considered to activate plasma membrane proton pumps. Along with this, it has been shown that brx mutants acidify media much more than the wild type plants do, a trait that was proposed as an adaptive feature of naturally occurring brx null alleles in Arabidopsis populations found on acidic soils. Additionally, in our study we found that most of accessions originally collected from acidic sampling sites exhibit hypersensitivity to CLE45 treatment. This implies that adaptation of plants to acidic soil involves a positive selection pressure against upstream negative regulators of CLE45-BAM3 signaling, such as BRX. Perspective analysis of these accessions would provide more profound understanding of molecular mechanisms underlying plant adaptation to acidic soils. All these results are suggesting that targeting of the factors that affect protophloem differentiation is a good strategy of natural selection to change the root architecture and to develop an adaptation to a certain environment. -- Les plantes comme organismes sessiles ont développé différents mécanismes pour s'adapter aux conditions environnementales complexes dans lesquelles elles vivent. L'adaptation est le processus par lequel des traits vont évoluer via la sélection naturelle vers une amélioration fonctionnelle dans un contexte environnemental donné. Une adaptation à l'environnement est caractérisée par des changements génétiques dans des populations entières qui ont été fixés par la sélection naturelle sur plusieurs générations. Le gène BREVIS RADIX (BRX) a été identifié dans le crible d'une collection d'accessions naturelles d'Arabidopsis et a été caractérisé comme un régulateur de la croissance racinaire étant donné que le mutant perte-de-fonction montre une croissance racinaire primaire arrêtée au stade post-embryonnaire et présente de plus un système racinaire plus ramifié que la plante sauvage. Bien que le mutant perte-de-fonction brx cause une altération complète de l'architecture racinaire, l'activité de BRX n'est requise que dans la vascularisation racinaire, en particulier au niveau du protophloème. Le protophloème est un composant du réseau de transport du phloème et est responsable du transit des dérivés de la photosynthèse ainsi que des régulateurs de croissances, venant de la partie aérienne par le phloème mature (métaphloème) vers tous les méristèmes primaires de la plante. Pour pouvoir réaliser sa fonction, le protophloème est la première file de cellules à se différencier à l'intérieur du méristème de la racine. Pendant ce processus, les cellules du protophloème subissent une mort cellulaire programmée partielle durant laquelle elles épaississent leur paroi cellulaire, dégradent le noyau et le tonoplaste tandis que la membrane plasmique demeure fonctionnelle. De manière intéressante, les cellules du protophloème entament le processus d'allongement seulement après que la différenciation en tubes criblés soit complète. Ce travail montre que le mutant brx est incapable de mener à bien la différenciation de la file de cellules du protophloème, phénotype qui peut être visualisé par la présence de cellules 'trous', de cellules non différenciées entourées de deux cellules différenciées. La discontinuité de la différenciation du phloème dans le mutant brx est considérée comme la conséquence de l'hyperactivité localisée du module de signalisation CLA VA TA3/EMBRYO SURROUNDING REGION 45 (CLE45) - BARELY ANY MERISTEM 3 (BAM3). De manière intéressante, l'activité de CLE45, très probablement au niveau de la liaison avec le récepteur, peut être modulé par le pH apoplastique. Pris ensemble, nos résultats impliquent que l'activité des pompes à protons, actives dans les cellules non différenciées du protophloème, doit être maintenue en dessous d'un certain seuil autrement la cascade de signalisation CLE45-BAM3 serait stimulée, en conséquence de quoi le protophloème ne pourrait se différencier. D'après la morphologie vacuolaire, une acidification prématurée de la paroi cellulaire dans le mutant brx empêche la différenciation du protophloème de manière stochastique. Une fois que le protophloème se différencie, les pompes à protons peuvent alors être activées afin d'acidifier l'apoplaste et ainsi faciliter l'allongement des cellules énuclées du protophloème, entraînées par la croissance des cellules environnantes. Finalement, la différenciation défectueuse du protophloème produit une accumulation d'auxine dans la partie supérieure de la racine car le phloème ne peut plus acheminer efficacement l'auxine au méristème. Physiologiquement, la 'fuite' d'auxine à partir du réseau vasculaire de la plante peut avoir des conséquences variées puisque l'auxine est impliquée dans la régulation de la majorité des aspects de la croissance et développement de la plante. Etant donné que l'auxine stimule l'initiation et développement des racines latérales, ce scénario pourrait expliquer le système racinaire plus ramifié du mutant brx. En plus, l'auxine est considérée comme un activateur des pompes à protons. Par ailleurs, nous avons montré que les mutants brx ont la capacité d'acidifier le milieu plus efficacement que les plantes sauvages, une caractéristique des populations sauvages <¥Arabidopsis poussant sur des sols acides et contenant les allèles délétés brx. De plus, dans nos résultats nous avons mis en évidence que la plupart des accessions collectées originellement sur des sites acidophiles montre une hypersensibilité au traitement par CLE45. Ceci implique que l'adaptation des plantes aux sols acides repose sur la pression de sélection positive à rencontre des régulateurs négatifs de CLE45- BAM3, situés en amont de la cascade, tel le produit du gène BRX. Les analyses de ces accessions pourraient aboutir à une meilleure compréhension des mécanismes moléculaires responsables de l'adaptation des plantes aux sols acides. Tous nos résultats suggèrent que le ciblage des facteurs affectant la différenciation du protophloème serait une stratégie gagnante dans la sélection naturelle pour changer l'architecture de la racine et ainsi s'adapter efficacement à un nouvel environnement.

EADock : design of a new molecular docking algorithm and some of its applications

3 Summary 3. 1 English The pharmaceutical industry has been facing several challenges during the last years, and the optimization of their drug discovery pipeline is believed to be the only viable solution. High-throughput techniques do participate actively to this optimization, especially when complemented by computational approaches aiming at rationalizing the enormous amount of information that they can produce. In siiico techniques, such as virtual screening or rational drug design, are now routinely used to guide drug discovery. Both heavily rely on the prediction of the molecular interaction (docking) occurring between drug-like molecules and a therapeutically relevant target. Several softwares are available to this end, but despite the very promising picture drawn in most benchmarks, they still hold several hidden weaknesses. As pointed out in several recent reviews, the docking problem is far from being solved, and there is now a need for methods able to identify binding modes with a high accuracy, which is essential to reliably compute the binding free energy of the ligand. This quantity is directly linked to its affinity and can be related to its biological activity. Accurate docking algorithms are thus critical for both the discovery and the rational optimization of new drugs. In this thesis, a new docking software aiming at this goal is presented, EADock. It uses a hybrid evolutionary algorithm with two fitness functions, in combination with a sophisticated management of the diversity. EADock is interfaced with .the CHARMM package for energy calculations and coordinate handling. A validation was carried out on 37 crystallized protein-ligand complexes featuring 11 different proteins. The search space was defined as a sphere of 15 R around the center of mass of the ligand position in the crystal structure, and conversely to other benchmarks, our algorithms was fed with optimized ligand positions up to 10 A root mean square deviation 2MSD) from the crystal structure. This validation illustrates the efficiency of our sampling heuristic, as correct binding modes, defined by a RMSD to the crystal structure lower than 2 A, were identified and ranked first for 68% of the complexes. The success rate increases to 78% when considering the five best-ranked clusters, and 92% when all clusters present in the last generation are taken into account. Most failures in this benchmark could be explained by the presence of crystal contacts in the experimental structure. EADock has been used to understand molecular interactions involved in the regulation of the Na,K ATPase, and in the activation of the nuclear hormone peroxisome proliferatoractivated receptors a (PPARa). It also helped to understand the action of common pollutants (phthalates) on PPARy, and the impact of biotransformations of the anticancer drug Imatinib (Gleevec®) on its binding mode to the Bcr-Abl tyrosine kinase. Finally, a fragment-based rational drug design approach using EADock was developed, and led to the successful design of new peptidic ligands for the a5ß1 integrin, and for the human PPARa. In both cases, the designed peptides presented activities comparable to that of well-established ligands such as the anticancer drug Cilengitide and Wy14,643, respectively. 3.2 French Les récentes difficultés de l'industrie pharmaceutique ne semblent pouvoir se résoudre que par l'optimisation de leur processus de développement de médicaments. Cette dernière implique de plus en plus. de techniques dites "haut-débit", particulièrement efficaces lorsqu'elles sont couplées aux outils informatiques permettant de gérer la masse de données produite. Désormais, les approches in silico telles que le criblage virtuel ou la conception rationnelle de nouvelles molécules sont utilisées couramment. Toutes deux reposent sur la capacité à prédire les détails de l'interaction moléculaire entre une molécule ressemblant à un principe actif (PA) et une protéine cible ayant un intérêt thérapeutique. Les comparatifs de logiciels s'attaquant à cette prédiction sont flatteurs, mais plusieurs problèmes subsistent. La littérature récente tend à remettre en cause leur fiabilité, affirmant l'émergence .d'un besoin pour des approches plus précises du mode d'interaction. Cette précision est essentielle au calcul de l'énergie libre de liaison, qui est directement liée à l'affinité du PA potentiel pour la protéine cible, et indirectement liée à son activité biologique. Une prédiction précise est d'une importance toute particulière pour la découverte et l'optimisation de nouvelles molécules actives. Cette thèse présente un nouveau logiciel, EADock, mettant en avant une telle précision. Cet algorithme évolutionnaire hybride utilise deux pressions de sélections, combinées à une gestion de la diversité sophistiquée. EADock repose sur CHARMM pour les calculs d'énergie et la gestion des coordonnées atomiques. Sa validation a été effectuée sur 37 complexes protéine-ligand cristallisés, incluant 11 protéines différentes. L'espace de recherche a été étendu à une sphère de 151 de rayon autour du centre de masse du ligand cristallisé, et contrairement aux comparatifs habituels, l'algorithme est parti de solutions optimisées présentant un RMSD jusqu'à 10 R par rapport à la structure cristalline. Cette validation a permis de mettre en évidence l'efficacité de notre heuristique de recherche car des modes d'interactions présentant un RMSD inférieur à 2 R par rapport à la structure cristalline ont été classés premier pour 68% des complexes. Lorsque les cinq meilleures solutions sont prises en compte, le taux de succès grimpe à 78%, et 92% lorsque la totalité de la dernière génération est prise en compte. La plupart des erreurs de prédiction sont imputables à la présence de contacts cristallins. Depuis, EADock a été utilisé pour comprendre les mécanismes moléculaires impliqués dans la régulation de la Na,K ATPase et dans l'activation du peroxisome proliferatoractivated receptor a (PPARa). Il a également permis de décrire l'interaction de polluants couramment rencontrés sur PPARy, ainsi que l'influence de la métabolisation de l'Imatinib (PA anticancéreux) sur la fixation à la kinase Bcr-Abl. Une approche basée sur la prédiction des interactions de fragments moléculaires avec protéine cible est également proposée. Elle a permis la découverte de nouveaux ligands peptidiques de PPARa et de l'intégrine a5ß1. Dans les deux cas, l'activité de ces nouveaux peptides est comparable à celles de ligands bien établis, comme le Wy14,643 pour le premier, et le Cilengitide (PA anticancéreux) pour la seconde.

Methods for assessment of pre-harvest sprouting in wheat cultivars

The objective of this work was to test methods for pre-harvest sprouting assessment in wheat cultivars. Fourteen wheat cultivars were grown in Londrina and Ponta Grossa municipalities, Paraná state, Brazil. They were sampled at 10 and 17 days after physiological maturity and evaluated using the methods of germination by rainfall simulation (in a greenhouse), in-ear grain sprouting, and grains removed from the ears. The in-ear grain sprouting method allowed the differentiation of cultivars, but showed different resistance levels from the available description of cultivars. The sprouting of grain removed from the ears did not allow a reliable distinction of data on germination in any harvest date or location. The method of rainfall simulation is the most suitable for the assessment of cultivars as to pre-harvest sprouting, regardless of the sampling date and evaluated location.

Methods for the analysis of two dimensional measurement data of paper web

This work is devoted to the problem of reconstructing the basis weight structure at paper web with black{box techniques. The data that is analyzed comes from a real paper machine and is collected by an o®-line scanner. The principal mathematical tool used in this work is Autoregressive Moving Average (ARMA) modelling. When coupled with the Discrete Fourier Transform (DFT), it gives a very flexible and interesting tool for analyzing properties of the paper web. Both ARMA and DFT are independently used to represent the given signal in a simplified version of our algorithm, but the final goal is to combine the two together. Ljung-Box Q-statistic lack-of-fit test combined with the Root Mean Squared Error coefficient gives a tool to separate significant signals from noise.

Sparse image reconstruction on the sphere: implications of a new sampling theorem.

We study the impact of sampling theorems on the fidelity of sparse image reconstruction on the sphere. We discuss how a reduction in the number of samples required to represent all information content of a band-limited signal acts to improve the fidelity of sparse image reconstruction, through both the dimensionality and sparsity of signals. To demonstrate this result, we consider a simple inpainting problem on the sphere and consider images sparse in the magnitude of their gradient. We develop a framework for total variation inpainting on the sphere, including fast methods to render the inpainting problem computationally feasible at high resolution. Recently a new sampling theorem on the sphere was developed, reducing the required number of samples by a factor of two for equiangular sampling schemes. Through numerical simulations, we verify the enhanced fidelity of sparse image reconstruction due to the more efficient sampling of the sphere provided by the new sampling theorem.

Family Size Evolution in Drosophila Chemosensory Gene Families: A Comparative Analysis with a Critical Appraisal of Methods

Gene turnover rates and the evolution of gene family sizes are important aspects of genome evolution. Here, we use curated sequence data of the major chemosensory gene families from Drosophila-the gustatory receptor, odorant receptor, ionotropic receptor, and odorant-binding protein families-to conduct a comparative analysis among families, exploring different methods to estimate gene birth and death rates, including an ad hoc simulation study. Remarkably, we found that the state-of-the-art methods may produce very different rate estimates, which may lead to disparate conclusions regarding the evolution of chemosensory gene family sizes in Drosophila. Among biological factors, we found that a peculiarity of D. sechellia's gene turnover rates was a major source of bias in global estimates, whereas gene conversion had negligible effects for the families analyzed herein. Turnover rates vary considerably among families, subfamilies, and ortholog groups although all analyzed families were quite dynamic in terms of gene turnover. Computer simulations showed that the methods that use ortholog group information appear to be the most accurate for the Drosophila chemosensory families. Most importantly, these results reveal the potential of rate heterogeneity among lineages to severely bias some turnover rate estimation methods and the need of further evaluating the performance of these methods in a more diverse sampling of gene families and phylogenetic contexts. Using branch-specific codon substitution models, we find further evidence of positive selection in recently duplicated genes, which attests to a nonneutral aspect of the gene birth-and-death process.

Use of the dried blood spot sampling process coupled with fast gas chromatography and negative-ion chemical ionization tandem mass spectrometry: application to fluoxetine, norfluoxetine, reboxetine, and paroxetine analysis.

The objective of this work was to combine the advantages of the dried blood spot (DBS) sampling process with the highly sensitive and selective negative-ion chemical ionization tandem mass spectrometry (NICI-MS-MS) to analyze for recent antidepressants including fluoxetine, norfluoxetine, reboxetine, and paroxetine from micro whole blood samples (i.e., 10 microL). Before analysis, DBS samples were punched out, and antidepressants were simultaneously extracted and derivatized in a single step by use of pentafluoropropionic acid anhydride and 0.02% triethylamine in butyl chloride for 30 min at 60 degrees C under ultrasonication. Derivatives were then separated on a gas chromatograph coupled with a triple-quadrupole mass spectrometer operating in negative selected reaction monitoring mode for a total run time of 5 min. To establish the validity of the method, trueness, precision, and selectivity were determined on the basis of the guidelines of the "Société Française des Sciences et des Techniques Pharmaceutiques" (SFSTP). The assay was found to be linear in the concentration ranges 1 to 500 ng mL(-1) for fluoxetine and norfluoxetine and 20 to 500 ng mL(-1) for reboxetine and paroxetine. Despite the small sampling volume, the limit of detection was estimated at 20 pg mL(-1) for all the analytes. The stability of DBS was also evaluated at -20 degrees C, 4 degrees C, 25 degrees C, and 40 degrees C for up to 30 days. Furthermore, the method was successfully applied to a pharmacokinetic investigation performed on a healthy volunteer after oral administration of a single 40-mg dose of fluoxetine. Thus, this validated DBS method combines an extractive-derivative single step with a fast and sensitive GC-NICI-MS-MS technique. Using microliter blood samples, this procedure offers a patient-friendly tool in many biomedical fields such as checking treatment adherence, therapeutic drug monitoring, toxicological analyses, or pharmacokinetic studies.

Trace element monitoring in the ICU: quality and economic impact of a change in sampling practice.

BACKGROUND & AIMS: Trace elements (TE) are involved in the immune and antioxidant defences which are of particular importance during critical illness. Determining plasma TE levels is costly. The present quality control study aimed at assessing the economic impact of a computer reminded blood sampling versus a risk guided on-demand monitoring of plasma concentrations of selenium, copper, and zinc. METHODS: Retrospective analysis of 2 cohorts of patients admitted during 6 months periods in 2006 and 2009 to the ICU of a University hospital. INCLUSION CRITERIA: to receive intravenous micronutrient supplements and/or to have a TE sampling during ICU stay. The TE samplings were triggered by computerized reminder in 2006 versus guided by nutritionists in 2009. RESULTS: During the 2 periods 636 patients met the inclusion criteria out of 2406 consecutive admissions, representing 29.7% and 24.9% respectively of the periods' admissions. The 2009 patients had higher SAPS2 scores (p = 0.02) and lower BMI compared to 2006 (p = 0.007). The number of laboratory determinations was drastically reduced in 2009, particularly during the first week, despite the higher severity of the cohort, resulting in à 55% cost reduction. CONCLUSIONS: The monitoring of TE concentrations guided by a nutritionist resulted in a reduction of the sampling frequency, and targeting on the sickest high risk patients, requiring a nutritional prescription adaptation. This control leads to cost reduction compared to an automated sampling prescription.

Changes of Root Length and Root-to-Crown Ratio after Apical Surgery: An Analysis by Using Cone-beam Computed Tomography.

INTRODUCTION: Apical surgery is an important treatment option for teeth with post-treatment periodontitis. Although apical surgery involves root-end resection, no morphometric data are yet available about root-end resection and its impact on the root-to-crown ratio (RCR). The present study assessed the length of apicectomy and calculated the loss of root length and changes of RCR after apical surgery. METHODS: In a prospective clinical study, cone-beam computed tomography scans were taken preoperatively and postoperatively. From these images, the crown and root lengths of 61 roots (54 teeth in 47 patients) were measured before and after apical surgery. Data were collected relative to the cementoenamel junction (CEJ) as well as to the crestal bone level (CBL). One observer took all measurements twice (to calculate the intraobserver variability), and the means were used for further analysis. The following parameters were assessed for all treated teeth as well as for specific tooth groups: length of root-end resection and percentage change of root length, preoperative and postoperative RCRs, and percentage change of RCR after apical surgery. RESULTS: The mean length of root-end resection was 3.58 ± 1.43 mm (relative to the CBL). This amounted to a loss of 33.2% of clinical and 26% of anatomic root length. There was an overall significant difference between the tooth groups (P < .05). There was also a statistically significant difference comparing mandibular and maxillary teeth (P < .05), but not for incisors/canines versus premolars/molars (P = .125). The mean preoperative and postoperative RCRs (relative to CEJ) were 1.83 and 1.35, respectively (P < .001). With regard to the CBL reference, the mean preoperative and postoperative RCRs were 1.08 and 0.71 (CBL), respectively (P < .001). The calculated changes of RCR after apical surgery were 24.8% relative to CEJ and 33.3% relative to CBL (P < .001). Across the different tooth groups, the mean RCR was not significantly different (P = .244 for CEJ and 0.114 for CBL). CONCLUSIONS: This CBCT-based study demonstrated that the RCR is significantly changed after root-end resection in apical surgery irrespective of the clinical (CBL) or anatomic (CEJ) reference levels. The lowest, and thus clinically most critical, postoperative RCR was observed in maxillary incisors. Future clinical studies need to show the impact of resection length and RCR changes on the outcome of apical surgery.

Threshold Selection Criteria for Quantification of Lumbosacral Cerebrospinal Fluid and Root Volumes from MRI

BACKGROUND AND PURPOSE: The high variability of CSF volumes partly explains the inconsistency of anesthetic effects, but may also be due to image analysis itself. In this study, criteria for threshold selection are anatomically defined. METHODS: T2 MR images (n = 7 cases) were analyzed using 3-dimentional software. Maximal-minimal thresholds were selected in standardized blocks of 50 slices of the dural sac ending caudally at the L5-S1 intervertebral space (caudal blocks) and middle L3 (rostral blocks). Maximal CSF thresholds: threshold value was increased until at least one voxel in a CSF area appeared unlabeled and decreased until that voxel was labeled again: this final threshold was selected. Minimal root thresholds: thresholds values that selected cauda equina root area but not adjacent gray voxels in the CSF-root interface were chosen. RESULTS: Significant differences were found between caudal and rostral thresholds. No significant differences were found between expert and nonexpert observers. Average max/min thresholds were around 1.30 but max/min CSF volumes were around 1.15. Great interindividual CSF volume variability was detected (max/min volumes 1.6-2.7). CONCLUSIONS: The estimation of a close range of CSF volumes which probably contains the real CSF volume value can be standardized and calculated prior to certain intrathecal procedures

Plant-microbe interactions and the new biotechnological methods of plant disease control

Plants constitute an excellent ecosystem for microorganisms. The environmental conditions offered differ considerably between the highly variable aerial plant part and the more stable root system. Microbes interact with plant tissues and cells with different degrees of dependence. The most interesting from the microbial ecology point of view, however, are specific interactions developed by plant-beneficial (either non-symbiotic or symbiotic) and pathogenic microorganisms. Plants, like humans and other animals, also become sick, but they have evolved a sophisticated defense response against microbes, based on a combination of constitutive and inducible responses which can be localized or spread throughout plant organs and tissues. The response is mediated by several messenger molecules that activate pathogen-responsive genes coding for enzymes or antimicrobial compounds, and produces less sophisticated and specific compounds than immunoglobulins in animals. However, the response specifically detects intracellularly a type of protein of the pathogen based on a gene-for-gene interaction recognition system, triggering a biochemical attack and programmed cell death. Several implications for the management of plant diseases are derived from knowledge of the basis of the specificity of plant-bacteria interactions. New biotechnological products are currently being developed based on stimulation of the plant defense response, and on the use of plant-beneficial bacteria for biological control of plant diseases (biopesticides) and for plant growth promotion (biofertilizers)