NanoImpactNet - Stakeholders' knowledge needs for research on the health and environmental impact of nanomaterials

NanoImpactNet (NIN) is a multidisciplinary European Commission funded network on the environmental, health and safety (EHS) impact of nanomaterials. The 24 founding scientific institutes are leading European research groups active in the fields of nanosafety, nanorisk assessment and nanotoxicology. This 4−year project is the new focal point for information exchange within the research community. Contact with other stakeholders is vital and their needs are being surveyed. NIN is communicating with 100s of stakeholders: businesses; internet platforms; industry associations; regulators; policy makers; national ministries; international agencies; standard−setting bodies and NGOs concerned by labour rights, EHS or animal welfare. To improve this communication, internet research, a questionnaire distributed via partners and targeted phone calls were used to identify stakeholders' interests and needs. Knowledge gaps and the necessity for further data mentioned by representatives of all stakeholder groups in the targeted phone calls concerned: potential toxic and safety hazards of nanomaterials throughout their lifecycles; fate and persistence of nanoparticles in humans, animals and the environment; risks associated to nanoparticle exposure; participation in the preparation of nomenclature, standards, methodologies, protocols and benchmarks; development of best practice guidelines; voluntary schemes on responsibility; databases of materials, research topics and themes. Findings show that stakeholders and NIN researchers share very similar knowledge needs, and that open communication and free movement of knowledge will benefit both researchers and industry. Consequently NIN will encourage stakeholders to be active members. These survey findings will be used to improve NIN's communication tools to further build on interdisciplinary relationships towards a healthy future with nanotechnology.

Host specialist clownfishes are environmental niche generalists.

Why generalist and specialist species coexist in nature is a question that has interested evolutionary biologists for a long time. While the coexistence of specialists and generalists exploiting resources on a single ecological dimension has been theoretically and empirically explored, biological systems with multiple resource dimensions (e.g. trophic, ecological) are less well understood. Yet, such systems may provide an alternative to the classical theory of stable evolutionary coexistence of generalist and specialist species on a single resource dimension. We explore such systems and the potential trade-offs between different resource dimensions in clownfishes. All species of this iconic clade are obligate mutualists with sea anemones yet show interspecific variation in anemone host specificity. Moreover, clownfishes developed variable environmental specialization across their distribution. In this study, we test for the existence of a relationship between host-specificity (number of anemones associated with a clownfish species) and environmental-specificity (expressed as the size of the ecological niche breadth across climatic gradients). We find a negative correlation between host range and environmental specificities in temperature, salinity and pH, probably indicating a trade-off between both types of specialization forcing species to specialize only in a single direction. Trade-offs in a multi-dimensional resource space could be a novel way of explaining the coexistence of generalist and specialists.

Genetic and environmental components of phenotypic variation in immune response and body size of a colonial bird, Delichon urbica (the house martin).

Directional selection for parasite resistance is often intense in highly social host species. Using a partial cross-fostering experiment we studied environmental and genetic variation in immune response and morphology in a highly colonial bird species, the house martin (Delichon urbica). We manipulated intensity of infestation of house martin nests by the haematophagous parasitic house martin bug Oeciacus hirundinis either by spraying nests with a weak pesticide or by inoculating them with 50 bugs. Parasitism significantly affected tarsus length, T cell response, immunoglobulin and leucocyte concentrations. We found evidence of strong environmental effects on nestling body mass, body condition, wing length and tarsus length, and evidence of significant additive genetic variance for wing length and haematocrit. We found significant environmental variance, but no significant additive genetic variance in immune response parameters such as T cell response to the antigenic phytohemagglutinin, immunoglobulins, and relative and absolute numbers of leucocytes. Environmental variances were generally greater than additive genetic variances, and the low heritabilities of phenotypic traits were mainly a consequence of large environmental variances and small additive genetic variances. Hence, highly social bird species such as the house martin, which are subject to intense selection by parasites, have a limited scope for immediate microevolutionary response to selection because of low heritabilities, but also a limited scope for long-term response to selection because evolvability as indicated by small additive genetic coefficients of variation is weak.

Interplay between wheat cultivars, biocontrol pseudomonads, and soil.

There is a significant potential to improve the plant-beneficial effects of root-colonizing pseudomonads by breeding wheat genotypes with a greater capacity to sustain interactions with these bacteria. However, the interaction between pseudomonads and crop plants at the cultivar level, as well as the conditions which favor the accumulation of beneficial microorganisms in the wheat rhizosphere, is largely unknown. Therefore, we characterized the three Swiss winter wheat (Triticum aestivum) cultivars Arina, Zinal, and Cimetta for their ability to accumulate naturally occurring plant-beneficial pseudomonads in the rhizosphere. Cultivar performance was measured also by the ability to select for specific genotypes of 2,4-diacetylphloroglucinol (DAPG) producers in two different soils. Cultivar-specific differences were found; however, these were strongly influenced by the soil type. Denaturing gradient gel electrophoresis (DGGE) analysis of fragments of the DAPG biosynthetic gene phlD amplified from natural Pseudomonas rhizosphere populations revealed that phlD diversity substantially varied between the two soils and that there was a cultivar-specific accumulation of certain phlD genotypes in one soil but not in the other. Furthermore, the three cultivars were tested for their ability to benefit from Pseudomonas inoculants. Interestingly, Arina, which was best protected against Pythium ultimum infection by inoculation with Pseudomonas fluorescens biocontrol strain CHA0, was the cultivar which profited the least from the bacterial inoculant in terms of plant growth promotion in the absence of the pathogen. Knowledge gained of the interactions between wheat cultivars, beneficial pseudomonads, and soil types allows us to optimize cultivar-soil combinations for the promotion of growth through beneficial pseudomonads. Additionally, this information can be implemented by breeders into a new and unique breeding strategy for low-input and organic conditions.

Environmental effects of Deccan volcanism across the Cretaceous-Tertiary transition in Meghalaya, India

The Urn Sohryngkew section of Meghalaya, NE India, located 800-1000 km from the Deccan volcanic province, is one of the most complete Cretaceous-Tertiary boundary (KTB) transitions worldwide with all defining and supporting criteria present: mass extinction of planktic foraminifera, first appearance of Danian species, delta(13)C shift, Ir anomaly (12 ppb) and KTB red layer. The geochemical signature of the KTB layer indicates not only an extraterrestrial signal (Ni and all Platinum Group Elements (PGEs)) of a second impact that postdates Chicxulub, but also a significant component resulting from condensed sedimentation (P), redox fluctuations (As, Co, Fe, Pb, Zn, and to a lesser extent Ni and Cu) and volcanism. From the late Maastrichtian C29r into the early Danian, a humid climate prevailed (kaolinite: 40-60%, detrital minerals: 50-80%). During the latest Maastrichtian, periodic acid rains (carbonate dissolution; CIA index: 70-80) associated with pulsed Deccan eruptions and strong continental weathering resulted in mesotrophic waters. The resulting super-stressed environmental conditions led to the demise of nearly all planktic foraminiferal species and blooms (>95%) of the disaster opportunist Guembelitria cretacea. These data reveal that detrimental marine conditions prevailed surrounding the Deccan volcanic province during the main phase of eruptions in C29r below the KTB. Ultimately these environmental conditions led to regionally early extinctions followed by global extinctions at the KTB. (C) 2011 Elsevier B.V. All rights reserved.

Machine learning algorithms for spatial data. Case studies: Environmental pollution, natural hazards, renewable resources

This paper presents general problems and approaches for the spatial data analysis using machine learning algorithms. Machine learning is a very powerful approach to adaptive data analysis, modelling and visualisation. The key feature of the machine learning algorithms is that they learn from empirical data and can be used in cases when the modelled environmental phenomena are hidden, nonlinear, noisy and highly variable in space and in time. Most of the machines learning algorithms are universal and adaptive modelling tools developed to solve basic problems of learning from data: classification/pattern recognition, regression/mapping and probability density modelling. In the present report some of the widely used machine learning algorithms, namely artificial neural networks (ANN) of different architectures and Support Vector Machines (SVM), are adapted to the problems of the analysis and modelling of geo-spatial data. Machine learning algorithms have an important advantage over traditional models of spatial statistics when problems are considered in a high dimensional geo-feature spaces, when the dimension of space exceeds 5. Such features are usually generated, for example, from digital elevation models, remote sensing images, etc. An important extension of models concerns considering of real space constrains like geomorphology, networks, and other natural structures. Recent developments in semi-supervised learning can improve modelling of environmental phenomena taking into account on geo-manifolds. An important part of the study deals with the analysis of relevant variables and models' inputs. This problem is approached by using different feature selection/feature extraction nonlinear tools. To demonstrate the application of machine learning algorithms several interesting case studies are considered: digital soil mapping using SVM, automatic mapping of soil and water system pollution using ANN; natural hazards risk analysis (avalanches, landslides), assessments of renewable resources (wind fields) with SVM and ANN models, etc. The dimensionality of spaces considered varies from 2 to more than 30. Figures 1, 2, 3 demonstrate some results of the studies and their outputs. Finally, the results of environmental mapping are discussed and compared with traditional models of geostatistics.

Characterization of high osmolarity-induced vacuole fragmentation in "Saccharomyces c."

La majorité des organelles d'une cellule adaptent leur nombre et leur taille pendant les processus de division cellulaire, de trafic vésiculaire ou suite à des changements environnementaux par des processus de fusion et de fragmentation membranaires. Ceci est valable notamment pour le golgi, les mitochondries, les péroxisomes et les lysosomes. La vacuole est le compartiment terminal de la voie endocytaire dans la levure Saccharomyces cerevisiae\ elle correspond aux lysosomes des cellules mammifères. Suite à un choc hyperosmotique, la vacuole se fragmente en plusieurs petites vésicules. Durant ce projet, cette fragmentation a été étudiée en utilisant la technique de microscopie confocale in vivo. J'ai observé que la division de la vacuole se produit d'une façon asymétrique. La première minute après le choc osmotique, les vacuoles rétrécissent et forment des longues invaginations tubulaires. Cette phase est dépendante de la protéine Vps1, un membre de la famille des protéines apparentées à la dynamine, ainsi que d'un gradient transmembranaire de protons. Pendant les 10-15 minutes qui suivent, des vésicules se détachent dans les régions où l'on observe les invaginations pendant la phase initiale. Cette deuxième phase qui mène à la fission des nouveaux compartiments vacuolaires dépend de la production du lipide PI(3,5)P2 par la protéine Fab1. J'ai établi la suite des événements du processus de fragmentation des vacuoles et propose la possibilité d'un rôle régulateur de la protéine kinase cycline-dépendante Pho85.¦En outre, j'ai tenté d'éclaircir plus spécifiquement le rôle de Vps1 pendant la fusion et fission des vacuoles. J'ai trouvé que tous les deux processus sont dépendants de l'activité GTPase de cette protéine. De plus l'association avec la membrane vacuolaire paraît régulée par le cycle d'hydrolyse du GTP. Vps1 peut lier la membrane sans la présence d'un autre facteur protéinique, ce qui permet de conclure à une interaction directe avec des lipides de la membrane. Cette interaction est au moins partiellement effectuée par le domaine GTPase, ce qui est une nouveauté pour un membre de cette famille de protéines. Une deuxième partie de Vps1, nommée insert B, est impliquée dans la liaison à la vacuole, soit par interaction directe avec la membrane, soit par régulation du domaine GTPase. En assumant que Vps1 détienne deux régions capables de liaison aux membranes, je conclus qu'elle pourrait fonctionner comme facteur de « tethering » lors de la fusion des vacuoles.¦-¦La cellule contient plusieurs sous-unités, appelées organelles, possédant chacune une fonction spécifique. Dépendant des processus qui s'y déroulent à l'intérieur, un environnement chimique spécifique est requis. Pour maintenir ces différentes conditions, les organelles sont séparées par des membranes. Lors de la division cellulaire ou en adaptation à des changements de milieu, les organelles doivent être capables de modifier leur morphologie. Cette adaptation a souvent lieu par fusion ou division des organelles. Le même principe est valable pour la vacuole dans la levure. La vacuole est une organelle qui sert principalement au stockage des aliments et à la dégradation des différents composants cellulaires. Alors que la fusion des vacuoles est un processus déjà bien décrit, la fragmentation des vacuoles a jusqu'ici été peu étudiée. Elle peut être induit par un choc osmotique: à cause de la concentration de sel élevé dans le milieu, le cytosol de la levure perd de l'eau. Par un flux d'eau de la vacuole au cytosol, la cellule est capable d'équilibrer celui-ci. Quand la vacuole perd du volume, elle doit réadapter le rapport entre surface membranaire et volume, ce qui se fait efficacement par une fragmentation d'une grande vacuole en plusieurs petites vésicules. Comment ce processus se déroule d'un point de vue morphologique n'a pas été décrit jusqu'à présent. En analysant la fragmentation vacuolaire par microscopie, j'ai trouvé que celle-ci se déroule en deux phases. Pendant la première minute suivant le choc osmotique, les vacuoles rétrécissent et forment des longues invaginations tubulaires. Cette phase dépend de la protéine Vps1, un membre de la famille des protéines apparentées à la dynamine, ainsi que du gradient transmembranaire de protons. Ce gradient s'établit par une pompe membranaire, la V-ATPase, qui transporte des protons dans la vacuole en utilisant l'énergie libérée par hydrolyse d'ATP. Après cette phase initiale, la formation de nouvelles vésicules vacuolaires dépend de la synthèse du lipide PI(3,5)P2.¦Dans la deuxième partie de l'étude, j'ai tenté de décrire comment Vps1 lie la membrane pour effectuer un remodelage de la vacuole. Vps1 est nécessaire pour la fusion et la fragmentation des vacuoles. J'ai découvert que tous les deux processus dépendent de sa capacité d'hydrolyser du GTP. Ainsi l'association avec la membrane est couplée au cycle d'hydrolyse du GTP. Vps1 peut lier la membrane sans la présence d'une autre protéine, et interagit donc très probablement avec les lipides de la membrane. Deux parties différentes de la protéine sont impliquées dans la liaison, dont une, inattendue, le domaine GTPase.¦-¦Numerous organelles undergo membrane fission and fusion events during cell division, vesicular traffic, or in response to changes in environmental conditions. Examples include Golgi (Acharya et al., 1998) mitochondria (Bleazard et al., 1999) peroxisomes (Kuravi et al., 2006) and lysosomes (Ward et al., 1997). In the yeast Saccharomyces cerevisiae the vacuole is the terminal component of the endocytic pathway and corresponds to lysosomes in mammalian cells. Yeast vacuoles fragment into multiple small vesicles in response to a hypertonic shock. This rapid and homogeneous reaction can serve as a model to study the requirements of the fragmentation process. Here, I investigated osmotically induced fragmentation by time-lapse microscopy. I observe that the small fragmentation products originate directly from the large central vacuole by asymmetric scission rather than by consecutive equal divisions and that fragmentation occurs in two distinct phases. During the first minute, vacuoles shrink and generate deep invaginations, leaving behind tubular structures. This phase requires the dynamin-like GTPase Vps1 and the vacuolar proton gradient. In the subsequent 10-15 minutes, vesicles pinch off from the tubular structures in a polarized fashion, directly generating fragmentation products of the final size. This phase depends on the production of phosphatidylinositol- 3,5-bisphosphate by the Fab1 complex. I suggest a possible regulation of vacuole fragmentation by the CDK Pho85. Based on my microscopy study I established a sequential involvement of the different fission factors.¦In addition to the morphological description of vacuole fragmentation I more specifically aimed to shed some light on the role of Vps1 in vacuole fragmentation and fusion. I find that both functions are dependent on the GTPase activity of the protein and that also the membrane association of the dynamin-like protein is coupled to the GTPase cycle. I found that Vps1 has the capacity for direct lipid binding on the vacuole and that this lipid binding is at least partially mediated through residues in the GTPase domain, a complete novelty for a dynamin family member. A second stretch located in the region of insert Β has also membrane-binding activity or regulates the association with the vacuole through the GTPase domain. Under the assumption of two membrane-binding regions I speculate on Vps1 as a possible tethering factor for vacuole fusion.

Exogenous selection shapes germination behaviour and seedling traits of populations at different altitudes in a Senecio hybrid zone.

BACKGROUND AND AIMS: The Senecio hybrid zone on Mt Etna, Sicily, is characterized by steep altitudinal clines in quantitative traits and genetic variation. Such clines are thought to be maintained by a combination of 'endogenous' selection arising from genetic incompatibilities and environment-dependent 'exogenous' selection leading to local adaptation. Here, the hypothesis was tested that local adaptation to the altitudinal temperature gradient contributes to maintaining divergence between the parental species, S. chrysanthemifolius and S. aethnensis. METHODS: Intra- and inter-population crosses were performed between five populations from across the hybrid zone and the germination and early seedling growth of the progeny were assessed. KEY RESULTS: Seedlings from higher-altitude populations germinated better under low temperatures (9-13 °C) than those from lower altitude populations. Seedlings from higher-altitude populations had lower survival rates under warm conditions (25/15 °C) than those from lower altitude populations, but also attained greater biomass. There was no altitudinal variation in growth or survival under cold conditions (15/5 °C). Population-level plasticity increased with altitude. Germination, growth and survival of natural hybrids and experimentally generated F(1)s generally exceeded the worse-performing parent. CONCLUSIONS: Limited evidence was found for endogenous selection against hybrids but relatively clear evidence was found for divergence in seed and seedling traits, which is probably adaptive. The combination of low-temperature germination and faster growth in warm conditions might enable high-altitude S. aethnensis to maximize its growth during a shorter growing season, while the slower growth of S. chrysanthemifolius may be an adaptation to drought stress at low altitudes. This study indicates that temperature gradients are likely to be an important environmental factor generating and maintaining adaptive divergence across the Senecio hybrid zone on Mt Etna.

Involvement of environmental mercury and lead in the etiology of neurodegenerative diseases.

The incidence of neurodegenerative disease like Parkinson's disease and Alzheimer's disease (AD) increases dramatically with age; only a small percentage is directly related to familial forms. The etiology of the most abundant, sporadic forms is complex and multifactorial, involving both genetic and environmental factors. Several environmental pollutants have been associated with neurodegenerative disorders. The present article focuses on results obtained in experimental neurotoxicology studies that indicate a potential pathogenic role of lead and mercury in the development of neurodegenerative diseases. Both heavy metals have been shown to interfere with a multitude of intracellular targets, thereby contributing to several pathogenic processes typical of neurodegenerative disorders, including mitochondrial dysfunction, oxidative stress, deregulation of protein turnover, and brain inflammation. Exposure to heavy metals early in development can precondition the brain for developing a neurodegenerative disease later in life. Alternatively, heavy metals can exert their adverse effects through acute neurotoxicity or through slow accumulation during prolonged periods of life. The pro-oxidant effects of heavy metals can exacerbate the age-related increase in oxidative stress that is related to the decline of the antioxidant defense systems. Brain inflammatory reactions also generate oxidative stress. Chronic inflammation can contribute to the formation of the senile plaques that are typical for AD. In accord with this view, nonsteroidal anti-inflammatory drugs and antioxidants suppress early pathogenic processes leading to Alzheimer's disease, thus decreasing the risk of developing the disease. The effects of lead and mercury were also tested in aggregating brain-cell cultures of fetal rat telencephalon, a three-dimensional brain-cell culture system. The continuous application for 10 to 50 days of non-cytotoxic concentrations of heavy metals resulted in their accumulation in brain cells and the occurrence of delayed toxic effects. When applied at non-toxic concentrations, methylmercury, the most common environmental form of mercury, becomes neurotoxic under pro-oxidant conditions. Furthermore, lead and mercury induce glial cell reactivity, a hallmark of brain inflammation. Both mercury and lead increase the expression of the amyloid precursor protein; mercury also stimulates the formation of insoluble beta-amyloid, which plays a crucial role in the pathogenesis of AD and causes oxidative stress and neurotoxicity in vitro. Taken together, a considerable body of evidence suggests that the heavy metals lead and mercury contribute to the etiology of neurodegenerative diseases and emphasizes the importance of taking preventive measures in this regard.