962 resultados para Gomphrena elegans


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La division cellulaire asymétrique est un processus crucial dans le développement des organismes multicellulaires puisqu’elle permet la génération de la diversité cellulaire. Les cellules qui se divisent de façon asymétrique doivent tout d’abord se polariser et correctement orienter leur fuseau mitotique pour ségréger des déterminants cellulaires en deux entités distinctes. L’embryon du nématode C. elegans est un modèle robuste et largement utilisé pour étudier la division cellulaire asymétrique. Dans cet embryon, le point d'entrée du spermatozoïde détermine l'axe de polarité antéro-postérieur. Suite à la fécondation, le cortex embryonnaire est uniformément contractile et un complexe conservé formé des protéines PAR-3, PAR-6 et PKC-3 (nommé complexe PAR-3 ci-dessous) est localisé sur l'ensemble du cortex. La complétion de la méiose maternelle induit une relaxation corticale au postétieur et un flux cortical vers l’antérieur de l’embryon. Ces contractions corticales asymétriques mènent à la formation d'un domaine antérieur contenant le complexe PAR-3, tandis que le cortex postérieur, dont le complexe PAR-3 s’est délocalisé, est enrichi avec les protéines PAR-2 et PAR-1. Par conséquent, les domaines formés par les protéines PAR définissent un pôle antérieur et un pôle postérieur dans l'embryon suite au remodelage du cytosquelette. Les protéines PAR-4 et PAR-5 restent localisées de façon uniforme dans l'embryon. Curieusement, les protéines PAR exercent une régulation par rétroaction sur la contractilité corticale. Il a été montré qu’une des protéines PAR récemment identifiée, PAR-5, est orthologue à la protéine adaptatrice 14-3-3 et joue un rôle important dans la contractilité corticale. En dépit de son rôle central dans la contractilité corticale et le processus de polarisation cellulaire, le mécanisme par lequel PAR-5 régule la contractilité corticale n’est pas bien compris. Le but de ce projet est de mieux comprendre comment PAR-5 et ses interacteurs contrôlent la régulation des contractions corticales et, de ce fait, la polarité cellulaire. Dans un essai de capture de la protéine GST (GST pull-down), nous avons identifié plusieurs nouveaux interacteurs de PAR-5. Parmi ceux-ci, nous avons trouvé CAP-2 (protéine de coiffage de l'actine), qui a été identifiée dans des éxpériences de capture de 14-3-3 dans trois systèmes modèles différents. CAP-2 est un hétérodimère des protéines CAP, qui sont impliquées dans la régulation de l'actine. Nous avons trouvé que la déplétion des protéines CAP par interférence à l’ARN dans des vers de type sauvage mène à une augmentation létalité embryonnaire, ce qui suggère que ces protéines jouent un rôle important dans le développement embryonnaire. L'imagerie en temps réel d'embryons déplétés pour les protéines CAP montre qu’ils ont une diminution des contractions corticales avec un sillon de pseudoclivage mois stable, suggérant un défaut dans la régulation du cytosquelette d'actine-myosine. Ceci a également été confirmé par la diminution de la vitesse et du nombre de foci de NMY-2::GFP. En outre, ces embryons montrent une légère diminution de la taille du croissant cortical de PAR-2 lors de la phase d’établissement de la polarité. Les embryons déplétés en CAP-2 montrent également un retard dans la progression du cycle cellulaire, mais le lien entre ce phénotype et la régulation des contractions corticales reste à être précisé. La caractérisation des protéines CAP, des régulateurs du remodelage du cytosquelette, permettra d'améliorer notre compréhension des mécanismes qui sous-tendent l'établissement et le maintien de la polarité cellulaire, et donc la division cellulaire asymétrique.

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Les anthracyclines, comme la doxorubicine (DOX) ou la daunorubicine (DNR), sont utilisées dans le traitement d’une grande variété de cancers allant des lymphomes, au cancer du sein, en passant par certaines leucémies. Encore aujourd’hui, beaucoup pensent que les anthracyclines entrent dans les cellules par diffusion passive, toutefois, la plupart de ces mêmes personnes sont d’accord pour dire que la p-glycoprotéine est responsable d’exporter ces molécules hors de la cellule. Mais pourquoi une molécule aurait besoin d’un transporteur pour sortir de la cellule, et pas pour y entrer ? Qu’est-ce qui ferait que la diffusion passive fonctionnerait dans un sens, mais pas dans l’autre, d’autant que l’entrée des anthracyclines dans les cellules est très rapide ? Nous pensons qu’il existe bel et bien un transporteur responsable de faire passer les anthracyclines du milieu extracellulaire au cytoplasme, et nous voulons développer un modèle de levure qui permettrait de déterminer si une protéine, un transporteur, issue d’un autre organisme eucaryote est en mesure de transporter la DOX à l’intérieur de la cellule. Pour ce faire, nous avons rassemblé un groupe de mutants présentant une déficience dans l’absorption d’autres molécules chargées positivement telles que la bléomycine ou le NaD1 et avons déterminé le taux d’absorption de DOX de chacun de ces mutants. Les simples mutants sam3Δ ou dur3Δ n’ont montré qu’une faible réduction de l’absorption de DOX, voire, aucune, par rapport à la souche parentale. Si le double mutant sam3Δdur3Δ a montré une réduction relativement importante de l’absorption de DOX, c’est le mutant agp2Δ qui présentait la plus grande réduction d’absorption de DOX, ainsi qu’une résistance notable à son effet létal. Nous avons utilisé, par la suite, ce mutant pour exprimer, à l’aide d’un vecteur d’expression, une protéine du ver Caenorhabditis elegans, OCT-1 (CeOCT-1). Les résultats ont montré que cette protéine était en mesure de restaurer l’absorption de DOX, compromise chez le mutant agp2Δ ainsi que d’augmenter la sensibilité de la souche parentale à son effet létal, lorsqu’exprimée chez celle-ci. Cela suggère que CeOCT-1 est un transporteur fonctionnel de DOX et contredit également le dogme selon lequel les anthracyclines entrent dans les cellules par diffusion passive.

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La division cellulaire asymétrique est un processus crucial dans le développement des organismes multicellulaires puisqu’elle permet la génération de la diversité cellulaire. Les cellules qui se divisent de façon asymétrique doivent tout d’abord se polariser et correctement orienter leur fuseau mitotique pour ségréger des déterminants cellulaires en deux entités distinctes. L’embryon du nématode C. elegans est un modèle robuste et largement utilisé pour étudier la division cellulaire asymétrique. Dans cet embryon, le point d'entrée du spermatozoïde détermine l'axe de polarité antéro-postérieur. Suite à la fécondation, le cortex embryonnaire est uniformément contractile et un complexe conservé formé des protéines PAR-3, PAR-6 et PKC-3 (nommé complexe PAR-3 ci-dessous) est localisé sur l'ensemble du cortex. La complétion de la méiose maternelle induit une relaxation corticale au postétieur et un flux cortical vers l’antérieur de l’embryon. Ces contractions corticales asymétriques mènent à la formation d'un domaine antérieur contenant le complexe PAR-3, tandis que le cortex postérieur, dont le complexe PAR-3 s’est délocalisé, est enrichi avec les protéines PAR-2 et PAR-1. Par conséquent, les domaines formés par les protéines PAR définissent un pôle antérieur et un pôle postérieur dans l'embryon suite au remodelage du cytosquelette. Les protéines PAR-4 et PAR-5 restent localisées de façon uniforme dans l'embryon. Curieusement, les protéines PAR exercent une régulation par rétroaction sur la contractilité corticale. Il a été montré qu’une des protéines PAR récemment identifiée, PAR-5, est orthologue à la protéine adaptatrice 14-3-3 et joue un rôle important dans la contractilité corticale. En dépit de son rôle central dans la contractilité corticale et le processus de polarisation cellulaire, le mécanisme par lequel PAR-5 régule la contractilité corticale n’est pas bien compris. Le but de ce projet est de mieux comprendre comment PAR-5 et ses interacteurs contrôlent la régulation des contractions corticales et, de ce fait, la polarité cellulaire. Dans un essai de capture de la protéine GST (GST pull-down), nous avons identifié plusieurs nouveaux interacteurs de PAR-5. Parmi ceux-ci, nous avons trouvé CAP-2 (protéine de coiffage de l'actine), qui a été identifiée dans des éxpériences de capture de 14-3-3 dans trois systèmes modèles différents. CAP-2 est un hétérodimère des protéines CAP, qui sont impliquées dans la régulation de l'actine. Nous avons trouvé que la déplétion des protéines CAP par interférence à l’ARN dans des vers de type sauvage mène à une augmentation létalité embryonnaire, ce qui suggère que ces protéines jouent un rôle important dans le développement embryonnaire. L'imagerie en temps réel d'embryons déplétés pour les protéines CAP montre qu’ils ont une diminution des contractions corticales avec un sillon de pseudoclivage mois stable, suggérant un défaut dans la régulation du cytosquelette d'actine-myosine. Ceci a également été confirmé par la diminution de la vitesse et du nombre de foci de NMY-2::GFP. En outre, ces embryons montrent une légère diminution de la taille du croissant cortical de PAR-2 lors de la phase d’établissement de la polarité. Les embryons déplétés en CAP-2 montrent également un retard dans la progression du cycle cellulaire, mais le lien entre ce phénotype et la régulation des contractions corticales reste à être précisé. La caractérisation des protéines CAP, des régulateurs du remodelage du cytosquelette, permettra d'améliorer notre compréhension des mécanismes qui sous-tendent l'établissement et le maintien de la polarité cellulaire, et donc la division cellulaire asymétrique.

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Les anthracyclines, comme la doxorubicine (DOX) ou la daunorubicine (DNR), sont utilisées dans le traitement d’une grande variété de cancers allant des lymphomes, au cancer du sein, en passant par certaines leucémies. Encore aujourd’hui, beaucoup pensent que les anthracyclines entrent dans les cellules par diffusion passive, toutefois, la plupart de ces mêmes personnes sont d’accord pour dire que la p-glycoprotéine est responsable d’exporter ces molécules hors de la cellule. Mais pourquoi une molécule aurait besoin d’un transporteur pour sortir de la cellule, et pas pour y entrer ? Qu’est-ce qui ferait que la diffusion passive fonctionnerait dans un sens, mais pas dans l’autre, d’autant que l’entrée des anthracyclines dans les cellules est très rapide ? Nous pensons qu’il existe bel et bien un transporteur responsable de faire passer les anthracyclines du milieu extracellulaire au cytoplasme, et nous voulons développer un modèle de levure qui permettrait de déterminer si une protéine, un transporteur, issue d’un autre organisme eucaryote est en mesure de transporter la DOX à l’intérieur de la cellule. Pour ce faire, nous avons rassemblé un groupe de mutants présentant une déficience dans l’absorption d’autres molécules chargées positivement telles que la bléomycine ou le NaD1 et avons déterminé le taux d’absorption de DOX de chacun de ces mutants. Les simples mutants sam3Δ ou dur3Δ n’ont montré qu’une faible réduction de l’absorption de DOX, voire, aucune, par rapport à la souche parentale. Si le double mutant sam3Δdur3Δ a montré une réduction relativement importante de l’absorption de DOX, c’est le mutant agp2Δ qui présentait la plus grande réduction d’absorption de DOX, ainsi qu’une résistance notable à son effet létal. Nous avons utilisé, par la suite, ce mutant pour exprimer, à l’aide d’un vecteur d’expression, une protéine du ver Caenorhabditis elegans, OCT-1 (CeOCT-1). Les résultats ont montré que cette protéine était en mesure de restaurer l’absorption de DOX, compromise chez le mutant agp2Δ ainsi que d’augmenter la sensibilité de la souche parentale à son effet létal, lorsqu’exprimée chez celle-ci. Cela suggère que CeOCT-1 est un transporteur fonctionnel de DOX et contredit également le dogme selon lequel les anthracyclines entrent dans les cellules par diffusion passive.

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Dr. Young-Ki Paik directs the Yonsei Proteome Research Center in Seoul, Korea and was elected as the President of the Human Proteome Organization (HUPO) in 2009. In the December 2009 issue of the Current Pharmacogenomics and Personalized Medicine (CPPM), Dr. Paik explains the new field of pharmacoproteomics and the approaching wave of “proteomics diagnostics” in relation to personalized medicine, HUPO’s role in advancing proteomics technology applications, the HUPO Proteomics Standards Initiative, and the future impact of proteomics on medicine, science, and society. Additionally, he comments that (1) there is a need for launching a Gene-Centric Human Proteome Project (GCHPP) through which all representative proteins encoded by the genes can be identified and quantified in a specific cell and tissue and, (2) that the innovation frameworks within the diagnostics industry hitherto borrowed from the genetics age may require reevaluation in the case of proteomics, in order to facilitate the uptake of pharmacoproteomics innovations. He stresses the importance of biological/clinical plausibility driving the evolution of biotechnologies such as proteomics,instead of an isolated singular focus on the technology per se. Dr. Paik earned his Ph.D. in biochemistry from the University of Missouri-Columbia and carried out postdoctoral work at the Gladstone Foundation Laboratories of Cardiovascular Disease, University of California at San Francisco. In 2005, his research team at Yonsei University first identified and characterized the chemical structure of C. elegans dauer pheromone (daumone) which controls the aging process of this nematode. He is interviewed by a multidisciplinary team specializing in knowledge translation, technology regulation, health systems governance, and innovation analysis.

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Complex networks have been studied extensively due to their relevance to many real-world systems such as the world-wide web, the internet, biological and social systems. During the past two decades, studies of such networks in different fields have produced many significant results concerning their structures, topological properties, and dynamics. Three well-known properties of complex networks are scale-free degree distribution, small-world effect and self-similarity. The search for additional meaningful properties and the relationships among these properties is an active area of current research. This thesis investigates a newer aspect of complex networks, namely their multifractality, which is an extension of the concept of selfsimilarity. The first part of the thesis aims to confirm that the study of properties of complex networks can be expanded to a wider field including more complex weighted networks. Those real networks that have been shown to possess the self-similarity property in the existing literature are all unweighted networks. We use the proteinprotein interaction (PPI) networks as a key example to show that their weighted networks inherit the self-similarity from the original unweighted networks. Firstly, we confirm that the random sequential box-covering algorithm is an effective tool to compute the fractal dimension of complex networks. This is demonstrated on the Homo sapiens and E. coli PPI networks as well as their skeletons. Our results verify that the fractal dimension of the skeleton is smaller than that of the original network due to the shortest distance between nodes is larger in the skeleton, hence for a fixed box-size more boxes will be needed to cover the skeleton. Then we adopt the iterative scoring method to generate weighted PPI networks of five species, namely Homo sapiens, E. coli, yeast, C. elegans and Arabidopsis Thaliana. By using the random sequential box-covering algorithm, we calculate the fractal dimensions for both the original unweighted PPI networks and the generated weighted networks. The results show that self-similarity is still present in generated weighted PPI networks. This implication will be useful for our treatment of the networks in the third part of the thesis. The second part of the thesis aims to explore the multifractal behavior of different complex networks. Fractals such as the Cantor set, the Koch curve and the Sierspinski gasket are homogeneous since these fractals consist of a geometrical figure which repeats on an ever-reduced scale. Fractal analysis is a useful method for their study. However, real-world fractals are not homogeneous; there is rarely an identical motif repeated on all scales. Their singularity may vary on different subsets; implying that these objects are multifractal. Multifractal analysis is a useful way to systematically characterize the spatial heterogeneity of both theoretical and experimental fractal patterns. However, the tools for multifractal analysis of objects in Euclidean space are not suitable for complex networks. In this thesis, we propose a new box covering algorithm for multifractal analysis of complex networks. This algorithm is demonstrated in the computation of the generalized fractal dimensions of some theoretical networks, namely scale-free networks, small-world networks, random networks, and a kind of real networks, namely PPI networks of different species. Our main finding is the existence of multifractality in scale-free networks and PPI networks, while the multifractal behaviour is not confirmed for small-world networks and random networks. As another application, we generate gene interactions networks for patients and healthy people using the correlation coefficients between microarrays of different genes. Our results confirm the existence of multifractality in gene interactions networks. This multifractal analysis then provides a potentially useful tool for gene clustering and identification. The third part of the thesis aims to investigate the topological properties of networks constructed from time series. Characterizing complicated dynamics from time series is a fundamental problem of continuing interest in a wide variety of fields. Recent works indicate that complex network theory can be a powerful tool to analyse time series. Many existing methods for transforming time series into complex networks share a common feature: they define the connectivity of a complex network by the mutual proximity of different parts (e.g., individual states, state vectors, or cycles) of a single trajectory. In this thesis, we propose a new method to construct networks of time series: we define nodes by vectors of a certain length in the time series, and weight of edges between any two nodes by the Euclidean distance between the corresponding two vectors. We apply this method to build networks for fractional Brownian motions, whose long-range dependence is characterised by their Hurst exponent. We verify the validity of this method by showing that time series with stronger correlation, hence larger Hurst exponent, tend to have smaller fractal dimension, hence smoother sample paths. We then construct networks via the technique of horizontal visibility graph (HVG), which has been widely used recently. We confirm a known linear relationship between the Hurst exponent of fractional Brownian motion and the fractal dimension of the corresponding HVG network. In the first application, we apply our newly developed box-covering algorithm to calculate the generalized fractal dimensions of the HVG networks of fractional Brownian motions as well as those for binomial cascades and five bacterial genomes. The results confirm the monoscaling of fractional Brownian motion and the multifractality of the rest. As an additional application, we discuss the resilience of networks constructed from time series via two different approaches: visibility graph and horizontal visibility graph. Our finding is that the degree distribution of VG networks of fractional Brownian motions is scale-free (i.e., having a power law) meaning that one needs to destroy a large percentage of nodes before the network collapses into isolated parts; while for HVG networks of fractional Brownian motions, the degree distribution has exponential tails, implying that HVG networks would not survive the same kind of attack.

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The decision of whether a cell should live or die is fundamental for the wellbeing of all organisms. Despite intense investigation into cell growth and proliferation, only recently has the essential and equally important idea that cells control/programme their own demise for proper maintenance of cellular homeostasis gained recognition. Furthermore, even though research into programmed cell death (PCD) has been an extremely active area of research there are significant gaps in our understanding of the process in plants. In this review, we discuss PCD during plant development and pathogenesis, and compare/contrast this with mammalian apoptosis. © 2008 Blackwell Publishing Ltd.

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Lignocellulosic materials, such as sugar cane bagasse, a waste product of the sugarcane processing industry, agricultural residues and herbaceous crops, may serve as an abundant and comparatively cheap feedstock for largescale industrial fermentation, resulting in the production of marketable end-products. However, the complex structure of lignocellulosic materials, the presence of various hexose and pentose sugars in the hemicellulose component, and the presence of various compounds that inhibit the organisms selected for the fermentation process, all constitute barriers that add to the production costs and make full scale industrial production economically less feasible. The work presented in this thesis was conducted in order to screen microorganisms for ability to utilize pentose sugars derived from the sugar mill industrial waste. A large number of individual bacterial strains were investigated from hemi-cellulose rich material collected at the Proserpine and Maryborough sugar mills, notably soil samples from the mill sites. The research conducted to isolation of six pentose-capable Gram-positive organisms from the actinomycetes group by using pentose as a sole carbon source in the cultivation process. The isolates were identified as Corynebacterium glutamicum, Actinomyces odontolyticus, Nocardia elegans, and Propionibacterium freudenreichii all of which were isolated from the hemicellulose-enriched soil. Pentose degrading microbes are very rare in the environment, so this was a significant discovery. Previous research indicated that microbes could degrade pentose after genetic modification but the microbes discovered in this research were able to naturally utilize pentose. Six isolates, identified as four different genera, were investigated for their ability to utilize single sugars as substrates (glucose, xylose, arabinose or ribose), and also dual sugars as substrates (a hexose plus a pentose). The results demonstrated that C. glutamicum, A. odontolyticus, N. elegans, and P. freudenreichii were pentose-capable (able to grow using xylose or other pentose sugar), and also showed diauxie growth characteristics during the dual-sugar (glucose, in combination with xylose, arabinose or ribose) carbon source tests. In addition, it was shown that the isolates displayed very small differences in growth rates when grown on dual sugars as compared to single sugars, whether pentose or hexose in nature. The anabolic characteristics of C. glutamicum, A. odontolyticus, N. elegans and P. freudenreichii were subsequently investigated by qualitative analysis of their end-products, using high performance liquid chromatography (HPLC). All of the organisms produced arginine and cysteine after utilization of the pentose substrates alone. In addition, P. freudenreichii produced alanine and glycine. The end-product profile arising from culture with dual carbon sources was also tested. Interestingly, this time the product was different. All of them produced the amino acid glycine, when grown on a combination substrate-mix of glucose with xylose, and also glucose with arabinose. Only N. elegans was able to break down ribose, either singly or in combination with glucose, and the end-product of metabolism of the glucose plus ribose substrate combination was glutamic acid. The ecological analysis of microbial abundance in sugar mill waste was performed using denaturing gradient gel electrophoresis (DGGE) and also the metagenomic microarray PhyloChip method. Eleven solid samples and seven liquid samples were investigated. A very complex bacterial ecosystem was demonstrated in the seven liquid samples after testing with the PhyloChip method. It was also shown that bagasse leachate was the most different, compared to all of the other samples, by virtue of its richness in variety of taxa and the complexity of its bacterial community. The bacterial community in solid samples from Proserpine, Mackay and Maryborough sugar mills showed huge diversity. The information found from 16S rDNA sequencing results was that the bacterial genera Brevibacillus, Rhodospirillaceae, Bacillus, Vibrio and Pseudomonas were present in greatest abundance. In addition, Corynebacterium was also found in the soil samples. The metagenomic studies of the sugar mill samples demonstrate two important outcomes: firstly that the bagasse leachate, as potentially the most pentose-rich sample tested, had the most complex and diverse bacterial community; and secondly that the pentose-capable isolates that were initially discovered at the beginning of this study, were not amongst the most abundant taxonomic groups discovered in the sugar mill samples, and in fact were, as suspected, very rare. As a bioprospecting exercise, therefore, the study has discovered organisms that are naturally present, but in very small numbers, in the appropriate natural environment. This has implications for the industrial application of E-PUB, in that a seeding process using a starter culture will be necessary for industrial purposes, rather than simply assuming that natural fermentation might occur.

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The nucleotide sequences of several animal, plant and bacterial genomes are now known, but the functions of many of the proteins that they are predicted to encode remain unclear. RNA interference is a gene-silencing technology that is being used successfully to investigate gene function in several organisms - for example, Caenorhabditis elegans. We discuss here that RNA-induced gene silencing approaches are also likely to be effective for investigating plant gene function in a high-throughput, genome-wide manner.

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Post-transcriptional silencing of plant genes using anti-sense or co-suppression constructs usually results in only a modest proportion of silenced individuals. Recent work has demonstrated the potential for constructs encoding self-complementary 'hairpin' RNA (hpRNA) to efficiently silence genes. In this study we examine design rules for efficient gene silencing, in terms of both the proportion of independent transgenic plants showing silencing, and the degree of silencing. Using hpRNA constructs containing sense/anti-sense arms ranging from 98 to 853 nt gave efficient silencing in a wide range of plant species, and inclusion of an intron in these constructs had a consistently enhancing effect. Intron-containing constructs (ihpRNA) generally gave 90-100% of independent transgenic plants showing silencing. The degree of silencing with these constructs was much greater than that obtained using either co-suppression or anti-sense constructs. We have made a generic vector, pHANNIBAL, that allows a simple, single PCR product from a gene of interest to be easily converted into a highly effective ihpRNA silencing construct. We have also created a high-throughput vector, pHELLSGATE, that should facilitate the cloning of gene libraries or large numbers of defined genes, such as those in EST collections, using an in vitro recombinase system. This system may facilitate the large-scale determination and discovery of plant gene functions in the same way as RNAi is being used to examine gene function in Caenorhabditis elegans.

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Among the human diseases that result from chromosomal aberrations, a de novo deletion in chromosome 11p13 is clinically associated with a syndrome characterized by Wilms' tumor, aniridia, genitourinary anomalies, and mental retardation (WAGR). Not all genes in the deleted region have been characterized biochemically or functionally. We have recently identified the first Class III cyclic nucleotide phosphodiesterase, Rv0805, from Mycobacterium tuberculosis, which biochemically and structurally belongs to the superfamily of metallophosphoesterases. We performed a large scale bioinformatic analysis to identify orthologs of the Rv0805 protein and identified many eukaryotic genes that included the human 239FB gene present in the region deleted in the WAGR syndrome. We report here the first detailed biochemical characterization of the rat 239FB protein and show that it possesses metallophosphodiesterase activity. Extensive mutational analysis identified residues that are involved in metal interaction at the binuclear metal center. Generation of a rat 239FB protein with a mutation corresponding to a single nucleotide polymorphism seen in human 239FB led to complete inactivation of the protein. A close ortholog of 239FB is found in adult tissues, and biochemical characterization of the 239AB protein demonstrated significant hydrolytic activity against 2',3'-cAMP, thus representing the first evidence for a Class III cyclic nucleotide phosphodiesterase in mammals. Highly conserved orthologs of the 239FB protein are found in Caenorhabditis elegans and Drosophila and, coupled with available evidence suggesting that 239FB is a tumor suppressor, indicate the important role this protein must play in diverse cellular events.

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Small juveniles of the nine species of scombrids in Australian waters are morphologically similar to one another and, consequently, difficult to identify to species level. We show that the sequence of the mitochondrial DNA cytochrome b gene region is a powerful tool for identification of these young fish. Using this method, we identified 50 juvenile scombrids collected from Exmouth Bay, Western Australia. Six species of scombrids were apparent in this sample of fish: narrow-barred Spanish mackerel (Scomberomorus commerson), Indian mackerel (Rastrelliger kanagurta), frigate tuna (Auxis thazard), bullet tuna (Auxis rochei), leaping bonito (Cybiosarda elegans), and kawakawa (Euthynnus affinis). The presence of Indian mackerel, frigate tuna, leaping bonito, and kawakawa is the first indication that coastal waters may be an important spawning habitat for these species, although offshore spawning may also occur. The occurrence of small juvenile S. commerson was predicted from the known spawning patterns of that species, but other mackerel species (Scomberomorus munroi, Scomberomorus queenslandicus, Scomberomorus semifasiciatus) likely to be spawning during the sampling period were not detected among the 50 small juveniles analyzed here.

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Parkinson’s disease (PD) is the second most common neurodegenerative disease among the elderly. Its etiology is unknown and no disease-modifying drugs are available. Thus, more information concerning its pathogenesis is needed. Among other genes, mutated PTEN-induced kinase 1 (PINK1) has been linked to early-onset and sporadic PD, but its mode of action is poorly understood. Most animal models of PD are based on the use of the neurotoxin 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP). MPTP is metabolized to MPP+ by monoamine oxidase B (MAO B) and causes cell death of dopaminergic neurons in the substantia nigra in mammals. Zebrafish has been a widely used model organism in developmental biology, but is now emerging as a model for human diseases due to its ideal combination of properties. Zebrafish are inexpensive and easy to maintain, develop rapidly, breed in large quantities producing transparent embryos, and are readily manipulated by various methods, particularly genetic ones. In addition, zebrafish are vertebrate animals and results derived from zebrafish may be more applicable to mammals than results from invertebrate genetic models such as Drosophila melanogaster and Caenorhabditis elegans. However, the similarity cannot be taken for granted. The aim of this study was to establish and test a PD model using larval zebrafish. The developing monoaminergic neuronal systems of larval zebrafish were investigated. We identified and classified 17 catecholaminergic and 9 serotonergic neuron populations in the zebrafish brain. A 3-dimensional atlas was created to facilitate future research. Only one gene encoding MAO was found in the zebrafish genome. Zebrafish MAO showed MAO A-type substrate specificity, but non-A-non-B inhibitor specificity. Distribution of MAO in larval and adult zebrafish brains was both diffuse and distinctly cellular. Inhibition of MAO during larval development led to markedly elevated 5-hydroxytryptamine (serotonin, 5-HT) levels, which decreased the locomotion of the fish. MPTP exposure caused a transient loss of cells in specific aminergic cell populations and decreased locomotion. MPTP-induced changes could be rescued by the MAO B inhibitor deprenyl, suggesting a role for MAO in MPTP toxicity. MPP+ affected only one catecholaminergic cell population; thus, the action of MPP+ was more selective than that of MPTP. The zebrafish PINK1 gene was cloned in zebrafish, and morpholino oligonucleotides were used to suppress its expression in larval zebrafish. The functional domains and expression pattern of zebrafish PINK1 resembled those of other vertebrates, suggesting that zebrafish is a feasible model for studying PINK1. Translation inhibition resulted in cell loss of the same catecholaminergic cell populations as MPTP and MPP+. Inactivation of PINK1 sensitized larval zebrafish to subefficacious doses of MPTP, causing a decrease in locomotion and cell loss in one dopaminergic cell population. Zebrafish appears to be a feasible model for studying PD, since its aminergic systems, mode of action of MPTP, and functions of PINK1 resemble those of mammalians. However, the functions of zebrafish MAO differ from the two forms of MAO found in mammals. Future studies using zebrafish PD models should utilize the advantages specific to zebrafish, such as the ability to execute large-scale genetic or drug screens.