Semantic domains and supersens tagging for domain-specific ontology learning

In this paper we propose a novel unsupervised approach to learning domain-specific ontologies from large open-domain text collections. The method is based on the joint exploitation of Semantic Domains and Super Sense Tagging for Information Retrieval tasks. Our approach is able to retrieve domain specific terms and concepts while associating them with a set of high level ontological types, named supersenses, providing flat ontologies characterized by very high accuracy and pertinence to the domain.

Grabbing your ear: rapid auditory-somatosensory multisensory interactions in low-level sensory cortices are not constrained by stimulus alignment.

Multisensory interactions are observed in species from single-cell organisms to humans. Important early work was primarily carried out in the cat superior colliculus and a set of critical parameters for their occurrence were defined. Primary among these were temporal synchrony and spatial alignment of bisensory inputs. Here, we assessed whether spatial alignment was also a critical parameter for the temporally earliest multisensory interactions that are observed in lower-level sensory cortices of the human. While multisensory interactions in humans have been shown behaviorally for spatially disparate stimuli (e.g. the ventriloquist effect), it is not clear if such effects are due to early sensory level integration or later perceptual level processing. In the present study, we used psychophysical and electrophysiological indices to show that auditory-somatosensory interactions in humans occur via the same early sensory mechanism both when stimuli are in and out of spatial register. Subjects more rapidly detected multisensory than unisensory events. At just 50 ms post-stimulus, neural responses to the multisensory 'whole' were greater than the summed responses from the constituent unisensory 'parts'. For all spatial configurations, this effect followed from a modulation of the strength of brain responses, rather than the activation of regions specifically responsive to multisensory pairs. Using the local auto-regressive average source estimation, we localized the initial auditory-somatosensory interactions to auditory association areas contralateral to the side of somatosensory stimulation. Thus, multisensory interactions can occur across wide peripersonal spatial separations remarkably early in sensory processing and in cortical regions traditionally considered unisensory.

Impact of prolonged antihypertensive duration of action on predicted clinical outcomes in imperfectly adherent patients: comparison of aliskiren, irbesartan and ramipril.

Background: Most patients miss occasional doses of antihypertensives. The use of 'forgiving' drugs (i.e. drugs with duration of action longer than the 24-h dosing interval) may allow an adequate blood pressure (BP) reduction to be maintained despite missed doses. Aim:To quantify the effects of adherence level and duration of action on estimated mean systolic BP (SBP) reduction and cardiovascular disease (CVD) risk. Method:For 1250 patients, we simulated 256-day dosing histories with realistically distributed drug holidays based on a study of electronically monitored dosing records. Adherence was set to the desired level by altering the proportion of doses missed. Mean office SBP-lowering effect (aliskiren 300 mg, -14.1 mmHg; irbesartan 300 mg, -13.3; ramipril 10 mg, -10.1 mmHg) and the rate of SBP increase after stopping treatment (off-rate; aliskiren, 1.0 mmHg/day; irbesartan, 3.6 mmHg/day; ramipril, 4.0 mmHg/day) were taken from the results of a randomised, double-blind trial. SBP was averaged over time and patient to estimate mean reductions in SBP and 10-year CVD risk (Framingham risk equation, baseline absolute 10-year CVD risk: 27%). Results:Predicted reductions in SBP and CVD risk with aliskiren were larger and less affected by imperfect adherence than the reductions with irbesartan or ramipril. For aliskiren, reducing adherence from 90% to 60% led to a predicted rise in SBP of 1.0 mmHg and three additional CVD events per 1000 treated patients; larger predicted differences were observed for irbesartan (2.5 mmHg; 7.5 events/1000 treated patients) and ramipril (2.2 mmHg; 6.7 events/1000 treated patients). Conclusion:To offset the effects of imperfect adherence, a common challenge with antihypertensives, for better BP management it may be prudent to prescribe 'forgiving' drugs.

Study of the regulation of antifungal activity in plant-associated pseudomas fluorescens

RésuméEn agriculture d'énormes pertes sont causées par des champignons telluriques pathogènes tels que Thielaviopsis, Fusarium, Gaeumannomyces et Rhizoctonia ou encore l'oomycète Pythium. Certaines bactéries dites bénéfiques, comme Pseudomonas fluorescens, ont la capacité de protéger les plantes de ces pathogènes par la colonisation de leur racines, par la production de métabolites secondaires possédants des propriétés antifongiques et par l'induction des mécanismes de défenses de la plante colonisée. P. fluorescens CHAO, une bactérie biocontrôle isolée d'un champ de tabac à Payerne, a la faculté de produire un large spectre de métabolites antifongiques, en particulier le 2,4- diacétylphloroglucinol (DAPG), la pyolutéorine (PLT), le cyanure d'hydrogène (HCN), la pyrrolnitrine (PRN) ainsi que des chélateurs de fer.La plante, par sécrétion racinaire, produit des rhizodéposites, source de carbone et d'azote, qui profitent aux populations bactériennes vivant dans la rhizosphere. De plus, certains stresses biotiques et abiotiques modifient cette sécrétion racinaire, en terme quantitatif et qualitatif. De leur côté, les bactéries bénéfiques, améliorent, de façon direct et/ou indirect, la croissance de la plante hôte. De nombreux facteurs biotiques et abiotiques sont connus pour réguler la production de métabolites secondaires chez les bactéries. Des études récentes ont démontré l'importance de la communication entre la plante et les bactéries bénéfiques afin que s'établisse une interaction profitant à chacun des deux partis. Il est ainsi vraisemblable que les populations bactériennes associées aux racines soient capables d'intégrer ces signaux et d'adapter spécifiquement leur comportement en conséquence.La première partie de ce travail de thèse a été la mise au point d'outils basés sur la cytométrie permettant de mesurer l'activité antifongique de cellules bactériennes individuelles dans un environnent naturel, les racines des plantes. Nous avons démontré, grâce à un double marquage aux protéines autofluorescentes GFP et mCherry, que les niveaux d'expression des gènes impliqués dans la biosynthèse des substances antifongiques DAPG, PLT, PRN et HCN ne sont pas les mêmes dans des milieux de cultures liquides que sur les racines de céréales. Par exemple, l'expression de pltA (impliqué dans la biosynthèse du PLT) est quasiment abolie sur les racines de blé mais atteint un niveau relativement haut in vitro. De plus cette étude a mis en avant l'influence du génotype céréalien sur l'expression du gène phlA qui est impliqué dans la biosynthèse du DAPG.Une seconde étude a révélé la communication existant entre une céréale (orge) infectée par le pathogène tellurique Pythium ultimum et P. fluorescens CHAO. Un système de partage des racines nous a permis de séparer physiquement le pathogène et la bactérie bénéfique sur la plante. Cette méthode a donné la possibilité d'évaluer l'effet systémique, causé par l'attaque du pathogène, de la plante sur la bactérie biocontrôle. En effet, l'infection par le phytopathogène modifie la concentration de certains composés phénoliques dans les exsudats racinaires stimulant ainsi l'expression de phi A chez P.fluorescens CHAO.Une troisième partie de ce travail focalise sur l'effet des amibes qui sont des micro-prédateurs présents dans la rhizosphere. Leur présence diminue l'expression des gènes impliqués dans la biosynthèse du DAPG, PLT, PRN et HCN chez P.fluorescens CHAO, ceci en culture liquide et sur des racines d'orge. De plus, des molécules provenant du surnageant d'amibes, influencent l'expression des gènes requis pour la biosynthèse de ces antifongiques. Ces résultats illustrent que les amibes et les bactéries de la rhizosphere ont développé des stratégies pour se reconnaître et adapter leur comportement.La dernière section de ce travail est consacrée à l'acide indole-acétique (LA.A), une phytohormone connue pour son effet stimulateur sur phlA. Une étude moléculaire détaillée nous a démontré que cet effet de l'IAA est notamment modulé par une pompe à efflux (FusPl) et de son régulateur transcriptionnel (MarRl). De plus, les gènes fusPl et marRl sont régulés par d'autres composés phénoliques tels que le salicylate (un signal végétal) et l'acide fusarique (une phytotoxine du pathogène Fusarium).En résumé, ce travail de thèse illustre la complexité des interactions entre les eucaryotes et procaryotes de la rhizosphère. La reconnaissance mutuelle et l'instauration d'un dialogue moléculaire entre une plante hôte et ses bactéries bénéfiques associées? sont indispensables à la survie des deux protagonistes et semblent être hautement spécifiques.SummaryIn agriculture important crop losses result from the attack of soil-borne phytopathogenic fungi, including Thielaviopsis, Fusarium, Gaeumannomyces and Rhizoctonia, as well as from the oomycete Pythium. Certain beneficial microorganisms of the rhizosphere, in particular Pseudomonas fluorescens, have the ability to protect plants against phytopathogens by the intense colonisation of roots, by the production of antifungal exoproducts, and by induction of plant host defences. P. fluorescens strain CHAO, isolated from a tobacco field near Payerne, produces a large array of antifungal exoproducts, including 2,4-diacetylphloroglucinol (DAPG), pyoluteorin (PLT), hydrogen cyanide (HCN), pyrrolnitrin (PRN) and iron chelators. Plants produce rhizodeposites via root secretion and these represent a relevant source of carbon and nitrogen for rhizosphere microorganisms. Various biotic and abiotic stresses influence the quantity and the quality of released exudates. One the other hand, beneficial bacteria directly or indirectly promote plant growth. Biotic and abiotic factors regulate exoproduct production in biocontrol microorganisms. Recent studies have highlighted the importance of communication in establishing a fine-tuned mutualist interaction between plants and their associated beneficial bacteria. Bacteria may be able to integrate rhizosphere signals and adapt subsequently their behaviour.In a first part of the thesis, we developed a new method to monitor directly antifungal activity of individual bacterial cells in a natural environment, i.e. on roots of crop plants. We were able to demonstrate, via a dual-labelling system involving green and red fluorescent proteins (GFP, mCherry) and FACS-based flow cytometry, that expression levels of biosynthetic genes for the antifungal compounds DAPG, PLT, PRN, and HCN are highly different in liquid culture and on roots of cereals. For instance, expression of pltA (involved in PLT biosynthesis) was nearly abolished on wheat roots whereas it attained a relatively high level under in vitro conditions. In addition, we established the importance of the cereal genotype in the expression of phi A (involved in DAPG biosynthesis) in P. fluorescens CHAO.A second part of this work highlighted the systemic communication that exists between biocontrol pseudomonads and plants following attack by a root pathogen. A split-root system, allowing physical separation between the soil-borne oomycete pathogen Phytium ultimum and P. fluorescens CHAO on barley roots, was set up. Root infection by the pathogen triggered a modification of the concentration of certain phenolic root exudates in the healthy root part, resulting in an induction ofphlA expression in P. fluorescens CHAO.Amoebas are micro-predators of the rhizosphere that feed notably on bacteria. In the third part of the thesis, co-habitation of Acanthamoeba castellanii with P. fluorescens CHAO in culture media and on barley roots was found to significantly reduce bacterial expression of genes involved in the biosynthesis of DAPG, PLT, HCN and PRN. Interestingly, molecular cues present in supernatant of A. castelanii induced the expression of these antifungal genes. These findings illustrate the strategies of mutual recognition developed by amoeba and rhizosphere bacteria triggering responses that allow specific adaptations of their behaviour.The last section of the work focuses on indole-3-acetic acid (IAA), a phytohormone that stimulates the expression of phi A. A detailed molecular study revealed that the IAA-mediated effect on phi A is notably modulated by an efflux pump (FusPl) and its transcriptional regulator (MarRl). Remarkably, transcription of fusPl and marRl was strongly upregulated in presence of other phenolic compounds such as salicylate (a plant signal) and fusaric acid (a phytotoxin of the pathogenic fungus Fusarium).To sum up, this work illustrates the great complexity of interactions between eukaryotes and prokaryotes taking place in the rhizosphere niche. The mutual recognition and the establishment of a molecular cross-talk between the host plant and its associated beneficial bacteria are essential for the survival of the two partners and these interactions appear to be highly specific.

SET translocation is associated with increase in caspase cleaved amyloid precursor protein in CA1 of Alzheimer and Down syndrome patients.

Caspase cleaved amyloid precursor protein (APPcc) and SET are increased and mislocalized in the neuronal cytoplasm in Alzheimer Disease (AD) brains. Translocated SET to the cytoplasm can induce tau hyperphosphorylation. To elucidate the putative relationships between mislocalized APPcc and SET, we studied their level and distribution in the hippocampus of 5 controls, 3 Down syndrome and 10 Alzheimer patients. In Down syndrome and Alzheimer patients, APPcc and SET levels were increased in CA1 and the frequency of both localizations in the neuronal cytoplasm was high in CA1, and low in CA4. As the increase of APPcc is already present at early stages of AD, we overexpressed APPcc in CA1 and the dentate gyrus neurons of adult mice with a lentiviral construct. APPcc overexpression in CA1 and not in the dentate gyrus induced endogenous SET translocation and tau hyperphosphorylation. These data suggest that increase in APPcc in CA1 neurons could be an early event leading to the translocation of SET and the progression of AD through tau hyperphosphorylation.

Improving telecommunication security level by integrating quantum key distribution in communication protocols

Résumé La cryptographie classique est basée sur des concepts mathématiques dont la sécurité dépend de la complexité du calcul de l'inverse des fonctions. Ce type de chiffrement est à la merci de la puissance de calcul des ordinateurs ainsi que la découverte d'algorithme permettant le calcul des inverses de certaines fonctions mathématiques en un temps «raisonnable ». L'utilisation d'un procédé dont la sécurité est scientifiquement prouvée s'avère donc indispensable surtout les échanges critiques (systèmes bancaires, gouvernements,...). La cryptographie quantique répond à ce besoin. En effet, sa sécurité est basée sur des lois de la physique quantique lui assurant un fonctionnement inconditionnellement sécurisé. Toutefois, l'application et l'intégration de la cryptographie quantique sont un souci pour les développeurs de ce type de solution. Cette thèse justifie la nécessité de l'utilisation de la cryptographie quantique. Elle montre que le coût engendré par le déploiement de cette solution est justifié. Elle propose un mécanisme simple et réalisable d'intégration de la cryptographie quantique dans des protocoles de communication largement utilisés comme les protocoles PPP, IPSec et le protocole 802.1li. Des scénarios d'application illustrent la faisabilité de ces solutions. Une méthodologie d'évaluation, selon les critères communs, des solutions basées sur la cryptographie quantique est également proposée dans ce document. Abstract Classical cryptography is based on mathematical functions. The robustness of a cryptosystem essentially depends on the difficulty of computing the inverse of its one-way function. There is no mathematical proof that establishes whether it is impossible to find the inverse of a given one-way function. Therefore, it is mandatory to use a cryptosystem whose security is scientifically proven (especially for banking, governments, etc.). On the other hand, the security of quantum cryptography can be formally demonstrated. In fact, its security is based on the laws of physics that assure the unconditional security. How is it possible to use and integrate quantum cryptography into existing solutions? This thesis proposes a method to integrate quantum cryptography into existing communication protocols like PPP, IPSec and the 802.l1i protocol. It sketches out some possible scenarios in order to prove the feasibility and to estimate the cost of such scenarios. Directives and checkpoints are given to help in certifying quantum cryptography solutions according to Common Criteria.

An adaptive multiscale method for density-driven instabilities

Accurate modeling of flow instabilities requires computational tools able to deal with several interacting scales, from the scale at which fingers are triggered up to the scale at which their effects need to be described. The Multiscale Finite Volume (MsFV) method offers a framework to couple fine-and coarse-scale features by solving a set of localized problems which are used both to define a coarse-scale problem and to reconstruct the fine-scale details of the flow. The MsFV method can be seen as an upscaling-downscaling technique, which is computationally more efficient than standard discretization schemes and more accurate than traditional upscaling techniques. We show that, although the method has proven accurate in modeling density-driven flow under stable conditions, the accuracy of the MsFV method deteriorates in case of unstable flow and an iterative scheme is required to control the localization error. To avoid large computational overhead due to the iterative scheme, we suggest several adaptive strategies both for flow and transport. In particular, the concentration gradient is used to identify a front region where instabilities are triggered and an accurate (iteratively improved) solution is required. Outside the front region the problem is upscaled and both flow and transport are solved only at the coarse scale. This adaptive strategy leads to very accurate solutions at roughly the same computational cost as the non-iterative MsFV method. In many circumstances, however, an accurate description of flow instabilities requires a refinement of the computational grid rather than a coarsening. For these problems, we propose a modified iterative MsFV, which can be used as downscaling method (DMsFV). Compared to other grid refinement techniques the DMsFV clearly separates the computational domain into refined and non-refined regions, which can be treated separately and matched later. This gives great flexibility to employ different physical descriptions in different regions, where different equations could be solved, offering an excellent framework to construct hybrid methods.

Comparative performance of supertree algorithms in large data sets using the soapberry family (Sapindaceae) as a case study.

For the last 2 decades, supertree reconstruction has been an active field of research and has seen the development of a large number of major algorithms. Because of the growing popularity of the supertree methods, it has become necessary to evaluate the performance of these algorithms to determine which are the best options (especially with regard to the supermatrix approach that is widely used). In this study, seven of the most commonly used supertree methods are investigated by using a large empirical data set (in terms of number of taxa and molecular markers) from the worldwide flowering plant family Sapindaceae. Supertree methods were evaluated using several criteria: similarity of the supertrees with the input trees, similarity between the supertrees and the total evidence tree, level of resolution of the supertree and computational time required by the algorithm. Additional analyses were also conducted on a reduced data set to test if the performance levels were affected by the heuristic searches rather than the algorithms themselves. Based on our results, two main groups of supertree methods were identified: on one hand, the matrix representation with parsimony (MRP), MinFlip, and MinCut methods performed well according to our criteria, whereas the average consensus, split fit, and most similar supertree methods showed a poorer performance or at least did not behave the same way as the total evidence tree. Results for the super distance matrix, that is, the most recent approach tested here, were promising with at least one derived method performing as well as MRP, MinFlip, and MinCut. The output of each method was only slightly improved when applied to the reduced data set, suggesting a correct behavior of the heuristic searches and a relatively low sensitivity of the algorithms to data set sizes and missing data. Results also showed that the MRP analyses could reach a high level of quality even when using a simple heuristic search strategy, with the exception of MRP with Purvis coding scheme and reversible parsimony. The future of supertrees lies in the implementation of a standardized heuristic search for all methods and the increase in computing power to handle large data sets. The latter would prove to be particularly useful for promising approaches such as the maximum quartet fit method that yet requires substantial computing power.

A two-level analysis of the determinants of direct democratic choices in European, immigration and foreign policy in Switzerland

This article employs a unique data set - covering 25 popular votes on foreign, European and immigration/asylum policy held between 1992 and 2006 in Switzerland - in order to examine the conditional impact of context upon utilitarian, cultural, political and cognitive determinants of individual attitudes toward international openness. Our results reveal clear patterns of cross-level interactions between individual determinants and the project-related context of the vote. Thus, although party cues and political competence have a strong impact on individuals' support for international openness, this impact is substantially mediated by the type of coalition that is operating within the party elite. Similarly, subjective utilitarian and cultural considerations influence the voters' decision in interaction with the content of the proposal submitted to the voters as well as with the framing of the voting campaign.

A multilevel multiscale finite volume method

The Multiscale Finite Volume (MsFV) method has been developed to efficiently solve reservoir-scale problems while conserving fine-scale details. The method employs two grid levels: a fine grid and a coarse grid. The latter is used to calculate a coarse solution to the original problem, which is interpolated to the fine mesh. The coarse system is constructed from the fine-scale problem using restriction and prolongation operators that are obtained by introducing appropriate localization assumptions. Through a successive reconstruction step, the MsFV method is able to provide an approximate, but fully conservative fine-scale velocity field. For very large problems (e.g. one billion cell model), a two-level algorithm can remain computational expensive. Depending on the upscaling factor, the computational expense comes either from the costs associated with the solution of the coarse problem or from the construction of the local interpolators (basis functions). To ensure numerical efficiency in the former case, the MsFV concept can be reapplied to the coarse problem, leading to a new, coarser level of discretization. One challenge in the use of a multilevel MsFV technique is to find an efficient reconstruction step to obtain a conservative fine-scale velocity field. In this work, we introduce a three-level Multiscale Finite Volume method (MlMsFV) and give a detailed description of the reconstruction step. Complexity analyses of the original MsFV method and the new MlMsFV method are discussed, and their performances in terms of accuracy and efficiency are compared.

Molecular phylogenetics of soricid shrews (Mammalia) based on mitochondrial cytochrome b gene sequences: with special reference to the Soricinae

Molecular phylogeny of soricid shrews (Soricidae, Eulipotyphla, Mammalia) based on 1140 bp mitochondrial cytochrome b gene (cytb) sequences was inferred by the maximum likelihood (ML) method. All 13 genera of extant Soricinae and two genera of Crocidurinae were included in the analyses. Anourosorex was phylogenetically distant from the main groupings within Soricinae and Crocidurinae in the ML tree. Thus, it could not be determined to which subfamily Anourosorex should be assigned: Soricinae, Crocidurinae or a new subfamily. Soricinae (excluding Anourosorex) should be divided into four tribes: Neomyini, Notiosoricini, Soricini and Blarinini. However, monophyly of Blarinini was not robust in the present data set. Also, branching orders among tribes of Soricinae and those among genera of Neomyini could not be determined because of insufficient phylogenetic information of the cytb sequences. For water shrews of Neomyini (Chimarrogale, Nectogale and Neomys), monophyly of Neomys and the Chimarrogale-Nectogale group could not be verified, which implies the possibility of multiple origins for the semi-aquatic mode of living among taxa within Neomyini. Episoriculus may contain several separate genera. Blarinella was included in Blarinini not Soricini, based on the cytb sequences, but the confidence level was rather low; hence more phylogenetic information is needed to determine its phylogenetic position. Furthermore, some specific problems of taxonomy of soricid shrews were clarified, for example phylogeny of local populations of Notiosorex crawfordi, Chimarrogale himalayica and Crocidura attenuata.

Mass movement characterization using a reflexion and refraction seismic survey with the sloping local base level concept

This study proposes a new concept for upscaling local information on failure surfaces derived from geophysical data, in order to develop the spatial information and quickly estimate the magnitude and intensity of a landslide. A new vision of seismic interpretation on landslides is also demonstrated by taking into account basic geomorphic information with a numeric method based on the Sloping Local Base Level (SLBL). The SLBL is a generalization of the base level defined in geomorphology applied to landslides, and allows the calculation of the potential geometry of the landslide failure surface. This approach was applied to a large scale landslide formed mainly in gypsum and situated in a former glacial valley along the Rhone within the Western European Alps. Previous studies identified the existence of two sliding surfaces that may continue below the level of the valley. In this study. seismic refraction-reflexion surveys were carried out to verify the existence of these failure surfaces. The analysis of the seismic data provides a four-layer model where three velocity layers (<1000 ms(-1), 1500 ms(-1) and 3000 ms(-1)) are interpreted as the mobilized mass at different weathering levels and compaction. The highest velocity layer (>4000 ms(-1)) with a maximum depth of similar to 58 m is interpreted as the stable anhydrite bedrock. Two failure surfaces were interpreted from the seismic surveys: an upper failure and a much deeper one (respectively 25 and 50 m deep). The upper failure surface depth deduced from geophysics is slightly different from the results obtained using the SLBL, and the deeper failure surface depth calculated with the SLBL method is underestimated in comparison with the geophysical interpretations. Optimal results were therefore obtained by including the seismic data in the SLBL calculations according to the geomorphic limits of the landslide (maximal volume of mobilized mass = 7.5 x 10(6) m(3)).

Estimating the confidence level of white matter connections obtained with MRI tractography.

BACKGROUND: Since the emergence of diffusion tensor imaging, a lot of work has been done to better understand the properties of diffusion MRI tractography. However, the validation of the reconstructed fiber connections remains problematic in many respects. For example, it is difficult to assess whether a connection is the result of the diffusion coherence contrast itself or the simple result of other uncontrolled parameters like for example: noise, brain geometry and algorithmic characteristics. METHODOLOGY/PRINCIPAL FINDINGS: In this work, we propose a method to estimate the respective contributions of diffusion coherence versus other effects to a tractography result by comparing data sets with and without diffusion coherence contrast. We use this methodology to assign a confidence level to every gray matter to gray matter connection and add this new information directly in the connectivity matrix. CONCLUSIONS/SIGNIFICANCE: Our results demonstrate that whereas we can have a strong confidence in mid- and long-range connections obtained by a tractography experiment, it is difficult to distinguish between short connections traced due to diffusion coherence contrast from those produced by chance due to the other uncontrolled factors of the tractography methodology.

A new method for the determination of plutonium and americium using high pressure microwave digestion and alpha-spectrometry or ICP-SMS

Plutonium and americium are radionuclides particularly difficult to measure in environmental samples because they are alpha-emitters and therefore necessitate a careful separation before any measurement, either using radiometric methods or ICP-SMS. Recent developments in extraction chromatography resins such as Eichrom (R) TRU and TEVA have resolved many of the analytical problems but drawbacks such as low recovery and spectral interferences still occasionally occur. Here, we report on the use of the new Eichrom (R) DGA resin in association with TEVA resin and high pressure microwave acid leaching for the sequential determination of plutonium and americium in environmental samples. The method results in average recoveries of 83 +/- 15% for plutonium and 73 +/- 22% for americium (n = 60), and a less than 10% deviation from reference values of four IAEA reference materials and three samples from intercomparisons exercises. The method is also suitable for measuring Pu-239 in water samples at the mu Bq/l level, if ICP-SMS is used for the measurement.

Detection of plant-modulated alterations in antifungal gene expression in Pseudomonas fluorescens CHA0 on roots by flow cytometry.

The biocontrol activity of the root-colonizing Pseudomonas fluorescens strain CHA0 is largely determined by the production of antifungal metabolites, especially 2,4-diacetylphloroglucinol. The expression of these metabolites depends on abiotic and biotic environmental factors, in particular, elements present in the rhizosphere. In this study, we have developed a new method for the in situ analysis of antifungal gene expression using flow cytometry combined with green fluorescent protein (GFP)-based reporter fusions to the phlA and prnA genes essential for the production of the antifungal compounds 2,4-diacetylphloroglucinol and pyrrolnitrin, respectively, in strain CHA0. Expression of phlA-gfp and prnA-gfp in CHA0 cells harvested from the rhizosphere of a set of plant species as well as from the roots of healthy, leaf pathogen-attacked, and physically stressed plants were analyzed using a FACSCalibur. After subtraction of background fluorescence emitted by plant-derived particles and CHA0 cells not carrying the gfp reporters, the average gene expression per bacterial cell could be calculated. Levels of phlA and prnA expression varied significantly in the rhizospheres of different plant species. Physical stress and leaf pathogen infection lowered phlA expression levels in the rhizosphere of cucumber. Our results demonstrate that the newly developed approach is suitable to monitor differences in levels of antifungal gene expression in response to various plant-derived factors. An advantage of the method is that it allows quantification of bacterial gene expression in rhizosphere populations at a single-cell level. To our best knowledge, this is the first study using flow cytometry for the in situ analysis of biocontrol gene expression in a plant-beneficial bacterium in the rhizosphere.