3D reconstruction from a vascular tree model

[EN] In this paper, we present a vascular tree model made with synthetic materials and which allows us to obtain images to make a 3D reconstruction.We have used PVC tubes of several diameters and lengths that will let us evaluate the accuracy of our 3D reconstruction. In order to calibrate the camera we have used a corner detector. Also we have used Optical Flow techniques to follow the points through the images going and going back. We describe two general techniques to extract a sequence of corresponding points from multiple views of an object. The resulting sequence of points will be used later to reconstruct a set of 3D points representing the object surfaces on the scene. We have made the 3D reconstruction choosing by chance a couple of images and we have calculated the projection error. After several repetitions, we have found the best 3D location for the point.

Kernel Methods for Tree Structured Data

Machine learning comprises a series of techniques for automatic extraction of meaningful information from large collections of noisy data. In many real world applications, data is naturally represented in structured form. Since traditional methods in machine learning deal with vectorial information, they require an a priori form of preprocessing. Among all the learning techniques for dealing with structured data, kernel methods are recognized to have a strong theoretical background and to be effective approaches. They do not require an explicit vectorial representation of the data in terms of features, but rely on a measure of similarity between any pair of objects of a domain, the kernel function. Designing fast and good kernel functions is a challenging problem. In the case of tree structured data two issues become relevant: kernel for trees should not be sparse and should be fast to compute. The sparsity problem arises when, given a dataset and a kernel function, most structures of the dataset are completely dissimilar to one another. In those cases the classifier has too few information for making correct predictions on unseen data. In fact, it tends to produce a discriminating function behaving as the nearest neighbour rule. Sparsity is likely to arise for some standard tree kernel functions, such as the subtree and subset tree kernel, when they are applied to datasets with node labels belonging to a large domain. A second drawback of using tree kernels is the time complexity required both in learning and classification phases. Such a complexity can sometimes prevents the kernel application in scenarios involving large amount of data. This thesis proposes three contributions for resolving the above issues of kernel for trees. A first contribution aims at creating kernel functions which adapt to the statistical properties of the dataset, thus reducing its sparsity with respect to traditional tree kernel functions. Specifically, we propose to encode the input trees by an algorithm able to project the data onto a lower dimensional space with the property that similar structures are mapped similarly. By building kernel functions on the lower dimensional representation, we are able to perform inexact matchings between different inputs in the original space. A second contribution is the proposal of a novel kernel function based on the convolution kernel framework. Convolution kernel measures the similarity of two objects in terms of the similarities of their subparts. Most convolution kernels are based on counting the number of shared substructures, partially discarding information about their position in the original structure. The kernel function we propose is, instead, especially focused on this aspect. A third contribution is devoted at reducing the computational burden related to the calculation of a kernel function between a tree and a forest of trees, which is a typical operation in the classification phase and, for some algorithms, also in the learning phase. We propose a general methodology applicable to convolution kernels. Moreover, we show an instantiation of our technique when kernels such as the subtree and subset tree kernels are employed. In those cases, Direct Acyclic Graphs can be used to compactly represent shared substructures in different trees, thus reducing the computational burden and storage requirements.

Study of Italian isolates of Alternaria spp.: molecular and morphological characterization and pathogenesis on apple tree

It was decided to carry out a morphological and molecular characterization of the Italian Alternaria isolatescollected from apple , and evaluate their pathogenicity and subsequently combining the data collected. The strain collection (174 isolates) was constructed by collecting material (received from extension service personnel) between June and August of 2007, 2008, and 2009. A Preliminary bioassays were performed on detached plant materials (fruit and leaf wounded and unwounded), belonging to the Golden cultivar, with two different kind of inoculation (conidial suspension and conidial filtrate). Symptoms were monitored daily and a value of pathogenicity score (P.S.) was assigned on the basis of the diameter of the necrotic area that developed. On the basis of the bioassays, the number of isolates to undergo further molecular analysis was restricted to a representative set of single spore strains (44 strains). Morphological characteristics of the colony and sporulation pattern were determined according to previous systematic work on small-spored Alternaria spp. (Pryor and Michaelides, 2002 and Hong et al., 2006). Reference strains (Alternaria alternata, Alternaria tenuissima, Alternaria arborescens and four Japanese strains of Alternaria alternata mali pathotype), used in the study were kindly provided by Prof. Barry Pryor, who allows a open access to his own fungal collection. Molecular characterization was performed combining and comparing different data sets obtained from distinct molecular approach: 1) investigation of specific loci and 2) fingerprinting based on diverse randomly selected polymorphic sites of the genome. As concern the single locus analysis, it was chosen to sequence the EndoPG partial gene and three anonymous region (OPA1-3, OPA2- and OPa10-2). These markers has revealed a powerful tool in the latter systematic works on small-spored Alternaria spp. In fact, as reported in literature small-spored Alternaria taxonomy is complicated due to the inability to resolve evolutionary relationships among the taxa because of the lack of variability in the markers commonly used in fungi systematic. The three data set together provided the necessary variation to establish the phylogenetic relationships among the Italian isolates of Alternaria spp. On Italian strains these markers showed a variable number of informative sites (ranging from 7 for EndoPg to 85 for OPA1-3) and the parsimony analysis produced different tree topologies all concordant to define A. arborescens as a mophyletic clade. Fingerprinting analysis (nine ISSR primers and eight AFLP primers combination) led to the same result: a monophyleic A. arborescens clade and one clade containing both A. tenuissima and the A. alternata strains. This first attempt to characterize Italian Alternaria species recovered from apple produced concordant results with what was already described in a similar phylogenetic study on pistachio (Pryor and Michaelides, 2002), on walnut and hazelnut (Hong et al., 2006), apple (Kang et al., 2002) and citurus (Peever et al., 2004). Together with these studies, this research demonstrates that the three morphological groups are widely distributed and occupy similar ecological niches. Furthermore, this research suggest that these Alternaria species exhibit a similar infection pattern despite the taxonomic and pathogenic differences. The molecular characterization of the pathogens is a fundamental step to understanding the disease that is spreading in the apple orchards of the north Italy. At the beginning the causal agent was considered as Alteraria alternata (Marshall and Bertagnoll, 2006). Their preliminary studies purposed a pathogenic system related to the synthesis of toxins. Experimental data of our bioassays suggest an analogous hypothesis, considering that symptoms could be induced after inoculating plant material with solely the filtrate from pathogenic strains. Moreover, positive PCR reactions using AM-toxin gene specific primers, designed for identification of apple infecting Alternaria pathovar, led to a hypothesis that a host specific toxin (toxins) were involved. It remains an intriguing challenge to discover or not if the agent of the “Italian disease” is the same of the one previously typified as Alternaria mali, casual agent of the apple blotch disease.

Frugivores, seed dispersal and tree regeneration along a human disturbance gradient in East African tropical rainforests

Samenausbreitung und Regeneration von Bäumen sind wichtig für den langfristigen Bestand von Baum- und Frugivorengemeinschaften in tropischen Regenwäldern. Zunehmende Rohdung und Degradation gefährden den Ablauf dieser mutualistischen Prozesse in diesem Ökosystem. Um den Einfluss von kleinräumiger menschlicher Störung auf die Frugivorengemeinschaft und die zentralen Ökosystemprozesse Samenausbreitung und Regeneration zu erforschen, habe ich 1) die Frugivorengemeinschaft und die Samenausbreitungsrate von Celtis durandii (Ulmaceae) und 2) den Zusammenhang zwischen Baumarten mit fleischigen Früchten, Frugivoren und der Etablierung von Keimlingen dieser Baumarten in unterschiedlich stark gestörten Flächen dreier ostafrikanischer tropischer Regenwälder untersucht. Insgesamt konnte ich 40 frugivore Vogel- und Primatenarten in den drei untersuchten Waldgebieten nachweisen. Auf gering gestörten Flächen wurden mehr Frugivore als auf stark gestörten Flächen aufgenommen. Auch die Beobachtungen an C. durandii ergaben mehr frugivore Besucher in Bäumen auf gering gestörten als auf stark gestörten Flächen. Dies führte zu einer marginal signifikant höheren Samenausbreitungsrate auf den gering gestörten Flächen. Diese Ergebnisse waren auf regionaler Ebene in allen drei untersuchten Wäldern konsistent. Dies zeigt, dass kleinräumige Störung einen umfassenderen negativen Einfluss auf Frugivore und ihre Funktion als Samenausbreiter hat als zuvor angenommen. Bei der Vegetationserfassung nahm ich 131 verschiedene Baumarten mit fleischigen Früchten in den drei Regenwäldern auf. Kleinräumige menschliche Störung erhöhte den Artenreichtum dieser Baumarten marginal signifikant, hatte jedoch keinen direkten Einfluss auf die Frugivorendichte und den Artenreichtum von Keimlingen dieser Baumarten. Der Artenreichtum von Baumarten mit fleischigen Früchten zeigte einen marginal signifikant positiven Einfluss auf die Frugivorendichte, allerdings nicht auf die Keimlinge. Allerdings führte die Dichte der Frugivoren zu signifikant erhöhtem Artenreichtum der Keimlinge. Folglich scheint kleinräumige Störung die Keimlingsetablierung indirekt durch erhöhten Baumartenreichtum und erhöhte Frugivorendichte zu beeinflussen. Die Frugivorendichte hatte einen größeren Einfluss auf die Waldregeneration als kleinräumige Störung und Baumartenreichtum. Demnach scheint kleinräumige menschliche Störung sowohl positive als auch negative Effekte auf Samenausbreitung und Regeneration zu haben. Somit sind weitere Studien notwendig, die den Einfluss von kleinräumiger menschlicher Störung auf Mutualismen tropischer Regenwälder aufklären.

Genetic dynamics across early life stages in the tropical tree Prunus africana (Rosaceae)

In many plant species, the genetic template of early life-stages is formed by animal-mediated pollination and seed dispersal and has profound impact on further recruitment and population dynamics. Understanding the impact of pollination and seed dispersal on genetic patterns is a central issue in plant population biology. In my thesis, I investigated (i) contemporary dispersal and gene flow distances as well as (ii) genetic diversity and spatial genetic structure (SGS) across subsequent recruitment stages in a population of the animal-pollinated and dispersed tree Prunus africana in Kakamega Forest, West Kenya. Using microsatellite markers and parentage analyses, I inferred distances of pollen dispersal (father-to-mother), seed dispersal/maternal gene flow (mother-to-offspring) as well as paternal gene flow (father-to-offspring) for four early life stages of the species (seeds and fruits, current year seedlings, seedlings ≤ 3yr, seedlings > 3yr). Distances of pollen and seed dispersal as well as paternal gene flow were significantly shorter than expected from the spatial arrangement of trees and sampling plots. They were not affected by the density of conspecific trees in the surrounding. At the propagule stage, mean pollen dispersal distances were considerably (23-fold) longer than seed dispersal distances, and paternal gene flow distances exceeded maternal gene flow by a factor of 25. Seed dispersal distances were remarkably restricted, potentially leading to a strong initial SGS. The initial genetic template created by pollination and seed dispersal was extensively altered during later recruitment stages. Potential Janzen-Connell effects led to markedly increasing distances between offspring and both parental trees in older life stages. This showed that distance and density-dependent mortality factors are not exclusively related to the mother tree, but also to the father. Across subsequent recruitment stages, the pollen to seed dispersal ratio and the paternal to maternal gene flow ratio dropped to 2.1 and 3.4, respectively, in seedlings > 3yr. The relative changes in effective pollen dispersal, seed dispersal, and paternal gene flow distances across recruitment stages elucidate the mechanisms affecting the contribution of the two processes pollen and seed dispersal to overall gene flow. Using the same six microsatellite loci, I analyzed genetic diversity and SGS across five life stages, from seed rain to adults. Levels of genetic diversity within the studied P. africana population were comparable to other Prunus species and did not vary across life stages. In congruence with the short seed dispersal distances, I found significant SGS in all life stages. SGS decreased from seed and early seedling stages to older juvenile stages, and it was higher in adults than in late juveniles of the next generation. A comparison of the data with direct assessments of contemporary gene flow patterns indicate that distance- or density-dependent mortality, potentially due to Janzen-Connell effects, led to the initial decrease in SGS. Intergeneration variation in SGS could have been driven by variation in demographic processes, the effect of overlapping generations, and local selection processes. Overall, my study showed that complex sequential processes during recruitment contribute to the spatial genetic structure of tree populations. It highlights the importance of a multistage perspective for a comprehensive understanding of the impact of animal-mediated pollen and seed dispersal on spatial population dynamics and genetic patterns of trees.

Modelling growth dynamics and toxin production in Ostreopsis cf. ovata

The benthic dinoflagellate O. ovata represents a serious threat for human health and for the ecology of its blooming areas: thanks to its toxicity this microalga has been responsible for several cases of human intoxication and mass mortalities of benthic invertebrates. Although the large number of studies on this dinoflagellate, the mechanisms underpinning O. ovata growth and toxin production are still far to be fully understood. In this work we have enriched the dataset on this species by carrying out a new experiment on an Adriatic O. cf. ovata strain. Data from this experiment (named Beta) and from another comparable experiment previously conducted on the same strain (named Alpha), revealed some interesting aspects of this dinoflagellate: it is able to grow also in a condition of strong intracellular nutrient deficiency (C:P molar ratio > 400; C:N > 25), reaching extremely low values of chlorophyll-a to carbon ratio (0.0004). Was also found a significant inverse relationships (r > -0.7) between cellular toxin to carbon and cellular nutrient to carbon ratios of experiment Alpha. In the light of these result, we hypothesized that in O. cf. ovata nutrient-stress conditions (intended as intracellular nutrient deficiency) can cause: i) an increase in toxin production; ii) a strong decrease in chlorophyll-a synthesis; iii) a lowering of metabolism associated with the formation of a sort of resting stage. We then used a modelling approach to test and critically evaluate these hypotheses in a mechanistic way: newly developed formulation describing toxin production and fate, and ad hoc changes in the already existent formulations describing chlorophyll synthesis, rest respiration, and mortality, have been incorporated in a simplified version of the European Regional Seas Ecosystem Model (ERSEM), together with a new ad hoc parameterization. The adapted model was able to accurately reproduce many of the trends observed in the Alpha experiment, allowing us to support our hypotheses. Instead the simulations of the experiment Beta were not fully satisfying in quantitative terms. We explained this gap with the presumed different physiological behaviors between the algae of the two experiments, due to the different pre-experimental periods of acclimation: the model was not able to reproduce acclimation processes in its simulations of the experiment Beta. Thus we attempt to simulate the acclimation of the algae to nutrient-stress conditions by manual intervention on some parameters of nutrient-stress thresholds, but we received conflicting results. Further studies are required to shed light on this interesting aspect. In this work we also improve the range of applicability of a state of the art marine biogeochemical model (ERSEM) by implementing in it an ecological relevant process such as the production of toxic compounds.

Problem-specific design of metaheuristics for constrained spanning tree problems

When designing metaheuristic optimization methods, there is a trade-off between application range and effectiveness. For large real-world instances of combinatorial optimization problems out-of-the-box metaheuristics often fail, and optimization methods need to be adapted to the problem at hand. Knowledge about the structure of high-quality solutions can be exploited by introducing a so called bias into one of the components of the metaheuristic used. These problem-specific adaptations allow to increase search performance. This thesis analyzes the characteristics of high-quality solutions for three constrained spanning tree problems: the optimal communication spanning tree problem, the quadratic minimum spanning tree problem and the bounded diameter minimum spanning tree problem. Several relevant tree properties, that should be explored when analyzing a constrained spanning tree problem, are identified. Based on the gained insights on the structure of high-quality solutions, efficient and robust solution approaches are designed for each of the three problems. Experimental studies analyze the performance of the developed approaches compared to the current state-of-the-art.

Starch distribution in pear tree organs in relation to training systems, rootstocks and fruit quality

Starch is the main form in which plants store carbohydrates reserves, both in terms of amounts and distribution among different plant species. Carbohydrates are direct products of photosynthetic activity, and it is well know that yield efficiency and production are directly correlated to the amount of carbohydrates synthesized and how these are distributed among vegetative and reproductive organs. Nowadays, in pear trees, due to the modernization of orchards, through the introduction of new rootstocks and the development of new training systems, the understanding and the development of new approaches regarding the distribution and storage of carbohydrates, are required. The objective of this research work was to study the behavior of carbohydrate reserves, mainly starch, in different pear tree organs and tissues: i.e., fruits, leaves, woody organs, roots and flower buds, at different physiological stages during the season. Starch in fruit is accumulated at early stages, and reached a maximum concentration during the middle phase of fruit development; after that, its degradation begins with a rise in soluble carbohydrates. Moreover, relationships between fruit starch degradation and different fruit traits, soluble sugars and organic acids were established. In woody organs and roots, an interconversion between starch and soluble carbohydrates was observed during the dormancy period that confirms its main function in supporting the growth and development of new tissues during the following spring. Factors as training systems, rootstocks, types of bearing wood, and their position on the canopy, influenced the concentrations of starch and soluble carbohydrates at different sampling dates. Also, environmental conditions and cultural practices must be considered to better explain these results. Thus, a deeper understanding of the dynamics of carbohydrates reserves within the plant could provide relevant information to improve several management practices to increase crop yield efficiency.

Wet bioadhesion in tree frogs

Viele Tiere wie etwa Geckos oder Laubfrösche können mittels ihrer Haftscheiben an Oberflächen kleben. Diese Haftscheiben ermöglichen es den Tieren, sich während ihrerrnFortbewegung an Oberflächen anzuheften und wieder zu lösen unabhängig von denrnvorherrschenden Umweltbedingungen. Frösche besitzen mikro- und nanostrukturierternsowie charakteristisch geformte Haftscheiben an Finger- und Zehenenden. Ihre besonderernevolutionäre Errungenschaft, sich stark und zugleich reversibel in sowohl trockenen alsrnauch feuchten Umgebungen anzuhaften, hat die Wissenschaft zur Nachahmung und Untersuchungrndieser Strukturen inspiriert. Zum besseren Verständnis der Mechanismen vonrnAnhaftung und Loslösung bei Laubfröschen wurden weiche, elastische und mikrostrukturierternOberflächen hergestellt, indem PDMS (Polydimethylsiloxan) auf einer Siliziummaskernmit Hexagonstruktur aufgetragen und vernetzt wurde. Dadurch wurden Anordnungenrnvon hexagonalen Mikrosäulen mit spezifischen geometrischen Eigenschaften undrnunterschiedlichen Kontaktgeometrien (normale, flache Form, T-Form und konkave Formrnder Säulenenden) erhalten. Um den Einfluss der van-der-Waals, hydrodynamischen,rnKapillar-und Adhäsionskräfte zu verstehen, wurden verschiedene experimentelle Ansätzernverfolgt: Die auf eine einzelne Säule wirkenden Adhäsionskräfte wurden mittelsrnRasterkraftmikroskopie gemessen. Dazu wurden speziell hergestellte kolloidale Sensorenrnverwendet. Diese Experimente wurden sowohl mit als auch ohne Flüssigkeitsfilm auf derrnSäule durchgeführt. Die Ergebnisse zeigten den Beitrag von Kapillarkraft und direktenrnKontaktkräften zur Adhäsionskraft bei Vorliegen eines Flüssigkeitsfilms. Die Adhäsionrnfiel umso größer aus, je weniger Flüssigkeit zwischen Sensor und Säule vorhanden war.rnIm Falle einer trockenen Adhäsion zeigte die Säule mit T-Form die höchste Adhäsion. Darndie Haftscheiben der Laubfrösche weich sind, können sie dynamisch ihre Form ändern,rnwas zu einer Änderung der hydrodynamischen Kraft zwischen Scheibe und Oberflächernführt. Der Einfluss der Oberflächenverformbarkeit auf die hydrodynamische Kraft wurderndaher am Modellsystem einer Kugel untersucht, welche sich einer weichen und ebenenrnOberfläche annähert. Dieses System wurde sowohl theoretisch über die Simulation finiterrnElemente als auch experimentell über die Messung mit kolloidalen Sonden untersucht.rnSowohl experimentelle Ergebnisse als auch die Simulationen ergaben eine Abnahme derrnhydrodynamischen Kraft bei Annäherung des kolloidalen Sensors an eine weiche undrnelastische Oberfläche. Beim Entfernen der Sensors von der Oberfläche verstärkte sichrndie hydrodynamische Anziehungskraft. Die Kraft, die zur Trennung eines Partikels von einer Oberfläche in Flüssigkeit notwendig ist, ist für weiche und elastischen Oberflächenrngrößer als für harte Oberflächen. In Bezug zur Bioadhäsion bei Laubfröschen konnternfestgestellt somit festgestellt werden, dass sich der hydrodynamische Anteil zur feuchtenrnBioadhäsion aufgrund der weichen Oberfläche erhöht. Weiterhin wurde der Einflussrndes Aspektverhältnisses der Säulen auf die Reibungskraft mittels eines kolloidalen Sensorsrnuntersucht. Gestreckte Säulen zeigten dabei eine höhere Reibung im Vergleich zu.rnSäulen mit einem gestreckten Hexagon als Querschnitt.

Struttura filogenetica della comunità batterica associata ad Ostreopsis cf. Ovata in colture batch e dinamiche di crescita

Negli ultimi 10 anni i blooms attribuibili alla dinoflagellata bentonica Ostreopsis cf. ovata sono aumentati in termini di frequenza ed intensità lungo le coste del Mediterraneo, avendo ripercussioni negative sulla salute umana e forti impatti sulle comunità marine bentoniche, ciò a seguito della produzione di potenti tossine (composti palitossina-simili) da parte della microalga. Tra i fattori ecologici che innescano o regolano le dinamiche dei bloom tossici le interazioni tra microalghe e batteri sono in misura sempre maggiore oggetto di ricerca. In questo studio è stata analizzata la struttura filogenetica della comunità batterica associata ad O. cf. ovata in colture batch e valutate le dinamiche successionali della stessa in relazione alle differenti fasi di crescita della microalga (oltre che in relazione alle dinamiche di abbondanza virale). Lo studio filogenetico è stato effettuato tramite l’ausilio di metodiche molecolari di sequenziamento di next generation (Ion Torrent). Le abbondanze dei batteri e delle particelle virali sono state determinate tramite microscopia ad epifluorescenza; l’abbondanza cellulare algale è stata stimata tramite metodo Uthermohl. Il contributo della frazione batterica ad elevata attività respiratoria è stato determinato tramite doppia colorazione con coloranti DAPI e CTC. Dai dati emersi si evince che la comunità batterica attraversa due fasi di crescita distinte, una più marcata e concomitante con la fase esponenziale di O. cf. ovata, l'altra quando la microalga è in fase media stazionaria. Per quanto concerne la composizione filogenetica della comunità sono stati rilevati 12 phyla, 17 classi e 150 generi, sebbene i dati ottenuti abbiano rilevato una forte dominanza del phylum Proteobacteria con la classe Alphaproteobacteria, seguita dal phylum Bacteroidetes con la classe Sphingobacteria. Variazioni nella struttura filogenetica della comunità batterica, a livello di generi, tra le diverse fasi di crescita della microalga ha permesso di evidenziare ed ipotizzare particolari interazioni di tipo mutualistico e di tipo competitivo.

Influence of micro-site conditions and environmental gradients on tree-ring based climate reconstructions

Tree-ring chronologies are a powerful natural archive to reconstruct summer temperature variations of the late Holocene with an annual resolution. To develop these long-term proxy records tree-ring series are commonly extended back in time by combining samples from living trees with relict dead material preserved onshore or in lakes. Former studies showed that low frequency variations in such reconstructions can be biased if the relict and recent material is from different origins. A detailed analysis of the influence of various ecological (micro-) habitats representing the recent part is required to estimate potential errors in temperature estimates. The application of collective detrending methods, that comprise absolute growth rates, can produce errors in climate reconstructions and results in an underestimation of past temperatures. The appearance of these kind of micro-site effects is a wide-spread phenomenon that takes place all over Fennoscandia. Future research in this key region for dendroclimatology should take this issue into account. Especially the higher climate response at the lakeshore site is interesting to achieve smaller uncertainties when a tree-ring series is transformed to temperature anomalies. For new composite chronologies the main aim should be to minimize potential biases and this includes also micro-site effects.

Dinamiche di produzione di Dimetilsolfoniopropionato (DMSP) nella dinoflagellata tossica Ostreopsis cf. ovata in colture batch

Il Dimetilsolfoniopropionato (DMSP) è un metabolita secondario prodotto da vari organismi marini, tra cui molte microalghe. Ad oggi pochi studi riguardano gli effetti dei fattori ambientali sulla produzione di DMSP nelle microalghe tossiche, tuttavia si ipotizza che la carenza di azoto (N-dep) possa influire sulla produzione di tossine e DMSP. In questo lavoro è stata indagata nella dinoflagellata Ostreopsis cf. ovata: la presenza e l’andamento del DMSP lungo tutte le fasi di crescita; i possibili effetti di differenti condizioni di crescita (i.e. bilanciata e N-dep) sulla produzione del metabolita e delle tossine. La scelta della dinoflagellata è giustificata dalle sue frequenti fioriture dannose nel Mediterraneo e dall’osservazione, in studi pregressi, di una comunità batterica associata ai suoi blooms in grado di utilizzare il DMSP come fonte energetica. Lo studio mostra per la prima volta da parte di O. cf ovata la produzione del DMSP, riportando un trend temporale simile nelle due condizioni. Si evidenzia: un minimo a fine fase esponenziale; un massimo nella prima fase stazionaria; una riduzione al termine della fase stazionaria. Il confronto fra le due condizioni evidenzia un effetto positivo di N-dep nella produzione di DMSP, evidenziato anche dal maggior tasso di produzione, che potrebbe avvenire per: utilizzare il DMSP rispetto ad altri osmoliti azotati; rilasciare nell’ambiente composti carboniosi e sulfurei, prodotti a seguito dello stress cellulare. I risultati indicherebbero come N-dep possa interferire nella sintesi di tossine e DMSP in maniera opposta, non per competizione diretta del nutriente nei processi di sintesi, ma a seguito dei cambiamenti fisiologici della microalga dovuti alla carenza nutrizionale. Infine la produzione di DMSP da parte della microalga conferma l’instaurarsi di una fase d’interazione mutualistica con i batteri ad essa associati facilitata dal DMSP, importante per lo sviluppo della popolazione algale e dei conseguenti rischi sanitari ed ecosistemici.