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.

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.

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.

Garnet growth in the metasediments of the Zermatt-Saas Fee zone (western alps)

The Zermatt-Saas Fee Zone (ZSZ) in the Western Alps consists of multiple slices of ultramafic, mafic and metasedimentary rocks. They represent the remnants of the Mesozoic Piemonte-Ligurian oceanic basin which was subducted to eclogite facies conditions with peak pressures and temperatures of up to 20-28 kbar and 550-630 °C, followed by a greenschist overprint during exhumation. Previous studies, emphasizing on isotopie geochronology and modeling of REE-behavior in garnets from mafic eclogites, suggest that the ZSZ is buildup of tectonic slices which underwent a protracted diachronous subduction followed by a rapid synchronous exhumation. In this study Rb/Sr geochronology is applied to phengite included in garnets from metasediments of two different slices of the ZSZ to date garnet growth. Inclusion ages for 2 metapelitic samples from the same locality from the first slice are 44.25 ± 0.48 Ma and 43.19 ± 0.32 Ma. Those are about 4 Ma older than the corresponding matrix mica ages of respectively 40.02 ± 0.13 Ma and 39.55 ± 0.25 Ma. The inclusion age for a third calcschist sample, collected from a second slice, is 40.58 ± 0.24 Ma and the matrix age is 39.8 ± 1.5 Ma. The results show that garnet effectively functioned as a shield, preventing a reset of the Rb/Sr isotopie clock in the included phengites to temperatures well above the closure of Sr in mica. The results are consistent with the results of former studies on the ZSZ using both Lu/Hf and Sm/Nd geochronology on mafic eclogites. They confirm that at least parts of the ZSZ underwent close to peak metamorphic HP conditions younger than 43 m.y. ago before being rapidly exhumed about 40 m.y. ago. Fluid infiltration in rocks of the second slice occurred likely close to the peak metamorphic conditions, resulting in rapid growth of garnets. Similar calcschists from the same slice contain two distinct types of porphyroblast garnets with indications of multiple growth pulses and resorption indicated by truncated chemical zoning patterns. In-situ oxygen isotope Sensitive High Resolution Ion Microprobe (SHRIMP) analyses along profiles on central sections of the garnets reveal variations of up to 5 %o in individual garnets. The complex compositional zoning and graphite inclusion patterns as well as the variations in oxygen isotopes correspond to growing under changing fluid composition conditions caused by external infiltrated fluids. The ultramafic and mafic rocks, which were subducted along with the sediments and form the volumetrically most important part of the ZSZ, are the likely source of those mainly aqueous fluids. - La Zone de Zermatt-Saas Fee (ZZS) est constituée de multiples écailles de roches ultramafiques, mafiques et méta-sédimentaires. Cette zone, qui affleure dans les Alpes occidentales, représente les restes du basin océanique Piémontais-Ligurien d'âge mésozoïque. Lors de la subduction de ce basin océanique à l'Eocène, les différentes roches composant le planché océanique ont atteint les conditions du faciès éclogitique avec des pressions et des températures maximales estimées entre 20 - 28 kbar et 550 - 630 °C respectivement, avant de subir une rétrogression au faciès schiste vert pendant l'exhumation. Différentes études antérieures combinant la géochronologie isotopique et la modélisation des mécanismes gouvernant l'incorporation des terres rares dans les grenats des éclogites mafiques, suggèrent que la ZZS ne correspond pas à une seule unité, mais est constituée de différentes écailles tectoniques qui ont subi une subduction prolongée et diachrone suivie d'une exhumation rapide et synchrone. Afin de tester cette hypothèse, j'ai daté, dans cette étude, des phengites incluses dans les grenats des méta-sédiments de deux différentes écailles tectoniques de la ZZS, afin de dater la croissance relative de ces grenats. Pour cela j'ai utilisé la méthode géochronologique basée sur la décroissance du Rb87 en Sr87. J'ai daté trois échantillons de deux différentes écailles. Les premiers deux échantillons proviennent de Triftji, au nord du Breithorn, d'une première écaille dont les méta-sédiments sont caractérisés par des bandes méta-pélitiques à grenat et des calcschistes. Le troisième échantillon a été collectionné au Riffelberg, dans une écaille dont les méta-sédiments sont essentiellement des calcschistes qui sont mélangés avec des roches mafiques et des serpentinites. Ce mélange se trouve au-dessus de la grande masse de serpentinites qui forment le Riffelhorn, le Trockenersteg et le Breithorn, et qui est connu sous le nom de la Zone de mélange de Riffelberg (Bearth, 1953). Les inclusions dans les grenats de deux échantillons méta-pélitiques de la première écaille sont datées à 44.25 ± 0.48 Ma et à 43.19 ± 0.32 Ma. Ces âges sont à peu près 4 Ma plus vieux que les âges obtenus sur les phengites provenant de la matrice de ces mêmes échantillons qui donnent des âges de 40.02 ± 0.13 Ma et 39.55 ± 0.25 Ma respectivement. Les inclusions de phengite dans les grenats appartenant à un calcschiste de la deuxième écaille ont un âge de 40.58 ± 0.24 Ma alors que les phengites de la matrice ont un âge de 39.8 ± 1.5 Ma. Pour expliquer ces différences d'âge entre les phengites incluses dans le grenat et les phengites provenant de la matrice, nous suggérons que la cristallisation de grenat ait permis d'isoler ces phengites et de les préserver de tous rééquilibrage lors de la suite du chemin métamorphique prograde, puis rétrograde. Ceci est particulièrement important pour expliquer l'absence de rééquilibrage des phengites dans des conditions de températures supérieures à la température de fermeture du système Rb/Sr pour les phengites. Les phengites en inclusions n'ayant pas pu être datées individuellement, nous interprétons l'âge de 44 Ma pour les inclusions de phengite comme un âge moyen pour l'incorporation de ces phengites dans le grenat. Ces résultats sont cohérents avec les résultats des études antérieures de la ZZS utilisant les systèmes isotopiques de Sm/Nd et Lu/Hf sur des eclogites mafiques. ils confirment qu'aux moins une partie de la ZZS a subi des conditions de pression et de température maximale il y a moins de 44 à 42 Ma avant d'être rapidement exhumée à des conditions métamorphiques du faciès schiste vert supérieur autour de 40 Ma. Cette étude détaillée des grenats a permis, également, de mettre en évidence le rôle des fluides durant le métamorphisme prograde. En effet, si tous les grenats montrent des puises de croissance et de résorption, on peut distinguer, dans différents calcschists provenant de la deuxième écaille, deux types distincts de porphyroblast de grenat en fonction de la présence ou non d'inclusions de graphite. Nous lions ces puises de croissances/résorptions ainsi que la présence ou l'absence de graphite en inclusion dans les grenats à l'infiltration de fluides dans le système, et ceci durant tous le chemin prograde mais plus particulièrement proche et éventuellement peu après du pic du métamorphisme comme le suggère l'âge de 40 Ma mesuré dans les inclusions de phengites de l'échantillon du Riffelberg. Des analyses in-situ d'isotopes d'oxygène réalisé à l'aide de la SHRIMP (Sensitive High Resolution Ion Microprobe) dans des coupes centrales des grenats indiquent des variations jusqu'à 5 %o au sein même d'un grenat. Les motifs de zonations chimiques et d'inclusions de graphite complexes, ainsi que les variations du δ180 correspondent à une croissance de grenat sous des conditions de fluides changeantes dues aux infiltrations de fluides externes. Nous lions l'origine de ces fluides aqueux aux unités ultramafiques et mafiques qui ont été subductés avec les méta-sédiments ; unités ultramafiques et mafiques qui forment la partie volumétrique la plus importante de la ZZS.