Analysis of the genotoxic potential of low concentrations of Malathion on the Allium cepa cells and rat hepatoma tissue culture

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

DNA damage defines sites of recurrent chromosomal translocations in B lymphocytes

Recurrent chromosomal translocations underlie both haematopoietic and solid tumours. Their origin has been ascribed to selection of random rearrangements, targeted DNA damage, or frequent nuclear interactions between translocation partners; however, the relative contribution of each of these elements has not been measured directly or on a large scale. Here we examine the role of nuclear architecture and frequency of DNA damage in the genesis of chromosomal translocations by measuring these parameters simultaneously in cultured mouse B lymphocytes. In the absence of recurrent DNA damage, translocations between Igh or Myc and all other genes are directly related to their contact frequency. Conversely, translocations associated with recurrent site-directed DNA damage are proportional to the rate of DNA break formation, as measured by replication protein A accumulation at the site of damage. Thus, non-targeted rearrangements reflect nuclear organization whereas DNA break formation governs the location and frequency of recurrent translocations, including those driving B-cell malignancies.

Degree of multicollinearity and variables involved in linear dependence in additive-dominant models

The objective of this work was to assess the degree of multicollinearity and to identify the variables involved in linear dependence relations in additive-dominant models. Data of birth weight (n=141,567), yearling weight (n=58,124), and scrotal circumference (n=20,371) of Montana Tropical composite cattle were used. Diagnosis of multicollinearity was based on the variance inflation factor (VIF) and on the evaluation of the condition indexes and eigenvalues from the correlation matrix among explanatory variables. The first model studied (RM) included the fixed effect of dam age class at calving and the covariates associated to the direct and maternal additive and non-additive effects. The second model (R) included all the effects of the RM model except the maternal additive effects. Multicollinearity was detected in both models for all traits considered, with VIF values of 1.03 - 70.20 for RM and 1.03 - 60.70 for R. Collinearity increased with the increase of variables in the model and the decrease in the number of observations, and it was classified as weak, with condition index values between 10.00 and 26.77. In general, the variables associated with additive and non-additive effects were involved in multicollinearity, partially due to the natural connection between these covariables as fractions of the biological types in breed composition.

Mesoscale dynamics and boundary-layer structure in topographically forced low-level jets

Two types of mesoscale wind-speed jet and their effects on boundary-layer structure were studied. The first is a coastal jet off the northern California coast, and the second is a katabatic jet over Vatnajökull, Iceland. Coastal regions are highly populated, and studies of coastal meteorology are of general interest for environmental protection, fishing industry, and for air and sea transportation. Not so many people live in direct contact with glaciers but properties of katabatic flows are important for understanding glacier response to climatic changes. Hence, the two jets can potentially influence a vast number of people. Flow response to terrain forcing, transient behavior in time and space, and adherence to simplified theoretical models were examined. The turbulence structure in these stably stratified boundary layers was also investigated. Numerical modeling is the main tool in this thesis; observations are used primarily to ensure a realistic model behavior. Simple shallow-water theory provides a useful framework for analyzing high-velocity flows along mountainous coastlines, but for an unexpected reason. Waves are trapped in the inversion by the curvature of the wind-speed profile, rather than by an infinite stability in the inversion separating two neutral layers, as assumed in the theory. In the absence of blocking terrain, observations of steady-state supercritical flows are not likely, due to the diurnal variation of flow criticality. In many simplified models, non-local processes are neglected. In the flows studied here, we showed that this is not always a valid approximation. Discrepancies between simulated katabatic flow and that predicted by an analytical model are hypothesized to be due to non-local effects, such as surface inhomogeneity and slope geometry, neglected in the theory. On a different scale, a reason for variations in the shape of local similarity scaling functions between studies is suggested to be differences in non-local contributions to the velocity variance budgets.

A model for diffusive and displacive phase transitions in steels

Heat treatment of steels is a process of fundamental importance in tailoring the properties of a material to the desired application; developing a model able to describe such process would allow to predict the microstructure obtained from the treatment and the consequent mechanical properties of the material. A steel, during a heat treatment, can undergo two different kinds of phase transitions [p.t.]: diffusive (second order p.t.) and displacive (first order p.t.); in this thesis, an attempt to describe both in a thermodynamically consistent framework is made; a phase field, diffuse interface model accounting for the coupling between thermal, chemical and mechanical effects is developed, and a way to overcome the difficulties arising from the treatment of the non-local effects (gradient terms) is proposed. The governing equations are the balance of linear momentum equation, the Cahn-Hilliard equation and the balance of internal energy equation. The model is completed with a suitable description of the free energy, from which constitutive relations are drawn. The equations are then cast in a variational form and different numerical techniques are used to deal with the principal features of the model: time-dependency, non-linearity and presence of high order spatial derivatives. Simulations are performed using DOLFIN, a C++ library for the automated solution of partial differential equations by means of the finite element method; results are shown for different test-cases. The analysis is reduced to a two dimensional setting, which is simpler than a three dimensional one, but still meaningful.

Der Wirkungsmechanismus von Neurosteroiden auf das Cytoskelett neuronaler Zellen

Neurosteroide können langsame genomische und schnelle nicht-genomische Effekte zeigen. Die Synthese und der Metabolismus von Neurosteroiden werden entwicklungsbedingt reguliert. In den letzten Jahren sind immer mehr schnelle Steroideffekte bekannt geworden, die sowohl über klassische als auch über nicht-klassische Rezeptoren laufen. Zum heutigen Stand der Forschung sind die morphologischen Effekte von Neurosteroiden auf das neuronale Cytoskelett und die involvierten Signalkaskaden noch weitgehend unerforscht. In diesem Zusammenhang stellen sich auch die Fragen nach den verantwortlichen Rezeptoren und dem Transportmechanismus sowie der subzellulären Lokalisation der Steroide. Die im Rahmen meiner Promotion erhaltenen Ergebnisse zeigen, dass die Steroide DHEA und Testosteron eine Reorganisation des Aktincytoskeletts in neuronalen Zellen induzieren und dass diese Effekte diesen Steroiden und nicht ihren Folgemetaboliten zuzuordnen sind. DHEA bewirkt die Kontraktion der Zellen, eine erhöhte Ausbildung von Stressfasern und fokalen Adhäsionskomplexen sowie die Bildung von Filopodien. Der diesen Effekten zu Grunde liegende Signalweg konnte eindeutig identifiziert werden. DHEA induziert in neuronalen Zellen die Aktivierung des Rho-Signalwegs. Diese Aktivierung führt zu einem erhöhten Phosphorylierungsstatus der regulatorischen leichten Kette von Myosin II (MRLC) an Serin 19 und der damit verbundenen erhöhten Myosin-Aktin-Interaktion. Die Ausbildung von Filopodien wird vermutlich über eine Aktivierung der GTPase Cdc42 vermittelt. Testosteron induziert das Auswachsen langer Neuriten sowie eine Verminderung von Stressfasern in neuronalen Zellen. Diese Effekte sind abhängig von der Aktivität der PI3-Kinase. Die im Rahmen dieser Arbeit gewonnenen Erkenntnisse deuten darauf hin, dass Testosteron über die PI3-Kinase und FAK den Rac-Signalweg induziert, da es zu einer Inhibierung des Rho-Signalwegs kommt. Zahlreiche Erkenntnisse weisen darauf hin, dass DHEA und Testosteron die Aktivierung der beteiligten Signalwege über einen G-Protein gekoppelten Rezeptor induzieren. DHEA und Testosteron beeinflussen auch die Expression und die Lokalisation der regulatorischen leichten Ketten von Myosin II. Im Gegensatz zu DHEA (Lokalisation der MRLC in der kortikalen Region der Zelle), induziert Testosteron eine Umlokalisation der MRLC in den Zellkern. Daher ist es denkbar, dass die MRLCs, wie auch Aktin, als Transkriptionsfaktoren wirken können. Die Synthese eines funktionalen, fluoreszierenden DHEA-Derivats (DHEA-Bodipy) ermöglichte erstmals, den Transport und die subzelluläre Lokalisation von DHEA in neuronalen Zellen zu beobachten. DHEA-Bodipy wird in neuronalen Zellen in den Mitochondrien lokalisiert. Diese Lokalisation ergibt völlig neue Ansätze im Verständnis zellulärer Wirkungsorte von Steroiden und beteiligter Rezeptoren. Das in meiner Arbeit vorgestellte Verfahren zur Fluoreszenzmarkierung von Steroiden bietet vielfältige Möglichkeiten im Einsatz zellbiologischer Methoden. Nach diesem Verfahren hergestellte, fluoreszierende Steroide eignen sich aufgrund ihrer Stabilität sehr gut für die Untersuchung des Transports und der subzellulären Lokalisation von Steroiden an fixierten und lebenden Zellen sowie für Colokalisationsexperimente. Diese Methode grenzt somit auch die Anzahl möglicher molekularer Interaktionspartner ein. Für Testosteron konnte ebenfalls ein fluoreszierendes Testosteron-Derivat (Testosteron-Bodipy) synthetisiert werden. Die Aufklärung der Effekte von Steroiden auf das neuronale Cytoskelett und der beteiligten Signalkaskaden sowie die Identifizierung der zellulären Wirkungsorte ermöglichen therapeutische Ansätze zur Behandlung neurodegenerativer Erkrankungen, deren Ursachen in Abnormitäten des Cytoskeletts oder fehlregulierter Neurosteroidogenese zu begründen sind.

Chiroptical properties of bioactive molecules: sensitivity to conformation and solvation

Chiroptical spectroscopies play a fundamental role in pharmaceutical analysis for the stereochemical characterisation of bioactive molecules, due to the close relationship between chirality and optical activity and the increasing evidence of stereoselectivity in the pharmacological and toxicological profiles of chiral drugs. The correlation between chiroptical properties and absolute stereochemistry, however, requires the development of accurate and reliable theoretical models. The present thesis will report the application of theoretical chiroptical spectroscopies in the field of drug analysis, with particular emphasis on the huge influence of conformational flexibility and solvation on chiroptical properties and on the main computational strategies available to describe their effects by means of electronic circular dichroism (ECD) spectroscopy and time-dependent density functional theory (TD-DFT) calculations. The combination of experimental chiroptical spectroscopies with state-of-the-art computational methods proved to be very efficient at predicting the absolute configuration of a wide range of bioactive molecules (fluorinated 2-arylpropionic acids, β-lactam derivatives, difenoconazole, fenoterol, mycoleptones, austdiol). The results obtained for the investigated systems showed that great care must be taken in describing the molecular system in the most accurate fashion, since chiroptical properties are very sensitive to small electronic and conformational perturbations. In the future, the improvement of theoretical models and methods, such as ab initio molecular dynamics, will benefit pharmaceutical analysis in the investigation of non-trivial effects on the chiroptical properties of solvated systems and in the characterisation of the stereochemistry of complex chiral drugs.

Production of Z bosons in proton-proton collisions at root out s = 10 TeV: Expectations for early measurements at the ATLAS experiment

The production of the Z boson in proton-proton collisions at the LHC serves as a standard candle at the ATLAS experiment during early data-taking. The decay of the Z into an electron-positron pair gives a clean signature in the detector that allows for calibration and performance studies. The cross-section of ~ 1 nb allows first LHC measurements of parton density functions. In this thesis, simulations of 10 TeV collisions at the ATLAS detector are studied. The challenges for an experimental measurement of the cross-section with an integrated luminositiy of 100 pb−1 are discussed. In preparation for the cross-section determination, the single-electron efficiencies are determined via a simulation based method and in a test of a data-driven ansatz. The two methods show a very good agreement and differ by ~ 3% at most. The ingredients of an inclusive and a differential Z production cross-section measurement at ATLAS are discussed and their possible contributions to systematic uncertainties are presented. For a combined sample of signal and background the expected uncertainty on the inclusive cross-section for an integrated luminosity of 100 pb−1 is determined to 1.5% (stat) +/- 4.2% (syst) +/- 10% (lumi). The possibilities for single-differential cross-section measurements in rapidity and transverse momentum of the Z boson, which are important quantities because of the impact on parton density functions and the capability to check for non-pertubative effects in pQCD, are outlined. The issues of an efficiency correction based on electron efficiencies as function of the electron’s transverse momentum and pseudorapidity are studied. A possible alternative is demonstrated by expanding the two-dimensional efficiencies with the additional dimension of the invariant mass of the two leptons of the Z decay.

Measurement of the inclusive jet cross section in proton-proton collisions at root out s = 7 TeV with the ATLAS detector

The dominant process in hard proton-proton collisions is the production of hadronic jets.rnThese sprays of particles are produced by colored partons, which are struck out of their confinement within the proton.rnPrevious measurements of inclusive jet cross sections have provided valuable information for the determination of parton density functions and allow for stringent tests of perturbative QCD at the highest accessible energies.rnrnThis thesis will present a measurement of inclusive jet cross sections in proton-proton collisions using the ATLAS detector at the LHC at a center-of-mass energy of 7 TeV.rnJets are identified using the anti-kt algorithm and jet radii of R=0.6 and R=0.4.rnThey are calibrated using a dedicated pT and eta dependent jet calibration scheme.rnThe cross sections are measured for 40 GeV < pT <= 1 TeV and |y| < 2.8 in four bins of absolute rapidity, using data recorded in 2010 corresponding to an integrated luminosity of 3 pb^-1.rnThe data is fully corrected for detector effects and compared to theoretical predictions calculated at next-to-leading order including non-perturbative effects.rnThe theoretical predictions are found to agree with data within the experimental and theoretic uncertainties.rnrnThe ratio of cross sections for R=0.4 and R=0.6 is measured, exploiting the significant correlations of the systematic uncertainties, and is compared to recently developed theoretical predictions.rnThe underlying event can be characterized by the amount of transverse momentum per unit rapidity and azimuth, called rhoue.rnUsing analytical approaches to the calculation of non-perturbative corrections to jets, rhoue at the LHC is estimated using the ratio measurement.rnA feasibility study of a combined measurement of rhoue and the average strong coupling in the non-perturbative regime alpha_0 is presented and proposals for future jet measurements at the LHC are made.

Synthese und Charakterisierung von HPMA-stabilisierten Kolloiden sowie deren Evaluierung in vitro und in vivo

Nanodimensionale Wirkstoff-Trägersysteme sind in der Lage, sowohl die Bioverfügbarkeit als auch das pharmakokinetische Profil von Wirkstoffen drastisch zu verbessern. Hauptgründe dafür sind eine erhöhte Plasma-Halbwertszeit durch die größenbedingte verminderte renale Ausscheidung und eine gesteigerte Anreicherung im Tumorgewebe durch den EPR-Effekt. Diese Arbeit beschreibt die Synthese und Entwicklung neuer kolloidaler Wirkstoff-Trägersysteme, welche biokompatibel, teilweise bioabbaubar und funktionalisierbar sind. Ein Fluoreszenzfarbstoff wurde als hydrophobes Wirkstoffmodell eingekapselt. Wohldefinierte, eng verteilte und funktionalisierbare HPMA-basierte Block- und statistische Copolymere unterschiedlicher Molekulargewichte (10-25 kDa) und hydrophiler/hydrophober Zusammensetzung (10-50 mol%) wurden mittels RAFT- Polymerisation in Kombination mit dem Reaktivesteransatz hergestellt und in Miniemulsionsprozesse eingesetzt, um ihre Stabilisierungseffizienz zu untersuchen. Dabei zeigte sich, dass die kleineren Copolymere (10 kDa) mit einem Einbau von 10 mol% LMA, sowohl im Modellsystem Polystyrol, als auch im bioabbaubaren PDLLA-System, besonders geeignet sind und ergaben monodisperse Kolloide im Größenbereich von 100 bis 300 nm. Die kolloidalen Systeme zeigten keine Wirkung auf die Zellviabilität. In Folge dessen wurde das Aggregationsverhalten in humanem Blutserum mittels DLS untersucht, wobei keine Interaktion mit Blutbestandteilen festgestellt werden konnte. Zellaufnahmestudien wurden an HeLa-Zellen durchgeführt, um das Schicksal der Kolloide in vitro zu untersuchen. Dabei wurden Kernmaterial, Hülle und das hydrophobe Wirkstoffmodell durch unterschiedliche Fluoreszenzmarkierung getrennt betrachtet. Das hydrophobe Wirkstoffmodell wurde allein durch Interaktion der Kolloide mit den Zellen übertragen, was für eine diffusionsbedingte, initiale, aber unspezifische Freisetzung spricht. Eine solche Freisetzungskinetik kann durch Verwendung von Nitroglycerin, als vasodilatierender Wirkstoff mit geringer unspezifischer Wirkung, ausgenutzt werden, um den EPR-Effekt zu unterstützen. Die Aufnahme des Partikels hingegen geschieht zeitverzögert. Das Schicksal der Kolloide (sowohl des Kern- und desrnHüllmaterials) wurde durch doppelte Fluoreszenzmarkierung untersucht. Dabei kam es zu einer intrazellulären Ablösung der stabilisierenden Block-Copolymere zwischen 8 und 24 h. Nach Aufklärung der Aufnahme- und Freisetzungskinetiken wurde nun die Körperverteilung der PS- und PDLLA-Kolloide nach 18F-Markierung mittels PET und ex vivo-Biodistributiosstudien untersucht. Dabei hatte das Kernmaterial einen Einfluss auf die Körperverteilung. PET-Studien in Mäusen zeigten, dass die stabilisierenden Block-Copolymere beider Kolloide ein starkes Signal in der Niere geben, wobei das der PS-Kolloide weiter ausgeprägt war. Darüber hinaus war eine Anreicherung dieser in Lunge, Leber und Milz festzustellen. Die Verdrängung der stabilisierenden Polymere durch die Interaktion mit Blutbestandteilen erklärt dabei das erhöhte Nieren- und Blasensignal der PS- Kolloide. Das Anreicherungsmuster der PDLLA-Kolloide hingegen zeigte neben der Nierenakkumulation eine erhöhte Blutaktivität und somit die gewünschten langzirkulierenden Eigenschaften. Diese Ergebnisse konnten auch mittels ex vivo- Biodistributionsstudien bestätigt werden. Um die Tumoranreicherung weiter zu verbessern wurde die Verwendung von Folat als Erkennungsstruktur am einfachen HPMA-Polymer untersucht. Die Konjugate zeigten eine erhöhte Anreicherung im Vergleich zu den Polymeren ohne Erkennungsstrukturen. Blockadestudien bestätigten die Selektivität der Anreicherung. Diese Daten zeigen das Potential der Folat-Erkennungsstruktur in vivo innerhalb kurzer Zeitfenster, welche nun auf kolloidale Systeme übertragen werden kann.

Repeatability and heritability of behavioural types in a social cichlid

Aim. The quantitative genetics underlying correlated behavioural traits (‘‘animal personality’’) have hitherto been studied mainly in domesticated animals. Here we report the repeatability ( ) and heritability ( ) of behavioural types in the highly social cichlid fish Neolamprologus pulcher. Methods. We tested 1779 individuals repeatedly and calculated the of behavioural types by variance components estimation (GLMM REML), using 1327 offspring from 162 broods from 74 pairs. Results. Repeatability of behavioural types was significant and considerable (0.546), but declined from 0.83 between tests conducted on the same day, to 0.19 on tests conducted up to 1201 days apart. All estimates were significant but low (e.g., pair identity SE). Additionally, we found significant variation between broods nested within the parent(s), but these were not related to several environmental factors tested. Conclusions. We conclude that despite a considerable , in this cichlid species is low, and variability in behavioural type appears to be strongly affected by other (non)genetic effects.

Validation of MIPAS IMK/IAA temperature, water vapor, and ozone profiles with MOHAVE-2009 campaign measurements

MIPAS observations of temperature, water vapor, and ozone in October 2009 as derived with the scientific level-2 processor run by Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK) and CSIC, Instituto de Astrofísica de Andalucía (IAA) and retrieved from version 4.67 level-1b data have been compared to co-located field campaign observations obtained during the MOHAVE-2009 campaign at the Table Mountain Facility near Pasadena, California in October 2009. The MIPAS measurements were validated regarding any potential biases of the profiles, and with respect to their precision estimates. The MOHAVE-2009 measurement campaign provided measurements of atmospheric profiles of temperature, water vapor/relative humidity, and ozone from the ground to the mesosphere by a suite of instruments including radiosondes, ozonesondes, frost point hygrometers, lidars, microwave radiometers and Fourier transform infra-red (FTIR) spectrometers. For MIPAS temperatures (version V4O_T_204), no significant bias was detected in the middle stratosphere; between 22 km and the tropopause MIPAS temperatures were found to be biased low by up to 2 K, while below the tropopause, they were found to be too high by the same amount. These findings confirm earlier comparisons of MIPAS temperatures to ECMWF data which revealed similar differences. Above 12 km up to 45 km, MIPAS water vapor (version V4O_H2O_203) is well within 10% of the data of all correlative instruments. The well-known dry bias of MIPAS water vapor above 50 km due to neglect of non-LTE effects in the current retrievals has been confirmed. Some instruments indicate that MIPAS water vapor might be biased high by 20 to 40% around 10 km (or 5 km below the tropopause), but a consistent picture from all comparisons could not be derived. MIPAS ozone (version V4O_O3_202) has a high bias of up to +0.9 ppmv around 37 km which is due to a non-identified continuum like radiance contribution. No further significant biases have been detected. Cross-comparison to co-located observations of other satellite instruments (Aura/MLS, ACE-FTS, AIRS) is provided as well.

Integration of room temperature single electron transistor with CMOS subsystem

The single electron transistor (SET) is a charge-based device that may complement the dominant metal-oxide-semiconductor field effect transistor (MOSFET) technology. As the cost of scaling MOSFET to smaller dimensions are rising and the the basic functionality of MOSFET is encountering numerous challenges at dimensions smaller than 10nm, the SET has shown the potential to become the next generation device which operates based on the tunneling of electrons. Since the electron transfer mechanism of a SET device is based on the non-dissipative electron tunneling effect, the power consumption of a SET device is extremely low, estimated to be on the order of 10^-18J. The objectives of this research are to demonstrate technologies that would enable the mass produce of SET devices that are operational at room temperature and to integrate these devices on top of an active complementary-MOSFET (CMOS) substrate. To achieve these goals, two fabrication techniques are considered in this work. The Focus Ion Beam (FIB) technique is used to fabricate the islands and the tunnel junctions of the SET device. A Ultra-Violet (UV) light based Nano-Imprint Lithography (NIL) call Step-and-Flash- Imprint Lithography (SFIL) is used to fabricate the interconnections of the SET devices. Combining these two techniques, a full array of SET devices are fabricated on a planar substrate. Test and characterization of the SET devices has shown consistent Coulomb blockade effect, an important single electron characteristic. To realize a room temperature operational SET device that function as a logic device to work along CMOS, it is important to know the device behavior at different temperatures. Based on the theory developed for a single island SET device, a thermal analysis is carried out on the multi-island SET device and the observation of changes in Coulomb blockade effect is presented. The results show that the multi-island SET device operation highly depends on temperature. The important parameters that determine the SET operation is the effective capacitance Ceff and tunneling resistance Rt . These two parameters lead to the tunneling rate of an electron in the SET device, Γ. To obtain an accurate model for SET operation, the effects of the deviation in dimensions, the trap states in the insulation, and the background charge effect have to be taken into consideration. The theoretical and experimental evidence for these non-ideal effects are presented in this work.

Impact of environmental estrogens on Yfish considering the diversity of estrogen signaling.

Research on endocrine disruption in fish has been dominated by studies on estrogen-active compounds which act as mimics of the natural estrogen, 17β-estradiol (E2), and generally exert their biological actions by binding to and activation of estrogen receptors (ERs). Estrogens play central roles in reproductive physiology and regulate (female) sexual differentiation. In line with this, most adverse effects reported for fish exposed to environmental estrogens relate to sexual differentiation and reproduction. E2, however, utilizes a variety of signaling mechanisms, has multifaceted functions and targets, and therefore the toxicological and ecological effects of environmental estrogens in fish will extend beyond those associated with the reproduction. This review first describes the diversity of estrogen receptor signaling in fish, including both genomic and non-genomic mechanisms, and receptor crosstalk. It then considers the range of non-reproductive physiological processes in fish that are known to be responsive to estrogens, including sensory systems, the brain, the immune system, growth, specifically through the growth hormone/insulin-like growth factor system, and osmoregulation. The diversity in estrogen responses between fish species is then addressed, framed within evolutionary and ecological contexts, and we make assessments on their relevance for toxicological sensitivity as well as ecological vulnerability. The diversity of estrogen actions raises questions whether current risk assessment strategies, which focus on reproductive endpoints, and a few model fish species only, are protective of the wider potential health effects of estrogens. Available - although limited - evidence nevertheless suggests that quantitative environmental threshold concentrations for environmental protection derived from reproductive tests with model fish species are protective for non-reproductive effects as well. The diversity of actions of estrogens across divergent physiological systems, however, may lead to and underestimation of impacts on fish populations as their effects are generally considered on one functional process only and this may underrepresent the impact on the different physiological processes collectively.

Present state of global wetland extent and wetland methane modelling: conclusions from a model inter-comparison project (WETCHIMP)

Global wetlands are believed to be climate sensitive, and are the largest natural emitters of methane (CH4). Increased wetland CH4 emissions could act as a positive feedback to future warming. The Wetland and Wetland CH4 Inter-comparison of Models Project (WETCHIMP) investigated our present ability to simulate large-scale wetland characteristics and corresponding CH4 emissions. To ensure inter-comparability, we used a common experimental protocol driving all models with the same climate and carbon dioxide (CO2) forcing datasets. The WETCHIMP experiments were conducted for model equilibrium states as well as transient simulations covering the last century. Sensitivity experiments investigated model response to changes in selected forcing inputs (precipitation, temperature, and atmospheric CO2 concentration). Ten models participated, covering the spectrum from simple to relatively complex, including models tailored either for regional or global simulations. The models also varied in methods to calculate wetland size and location, with some models simulating wetland area prognostically, while other models relied on remotely sensed inundation datasets, or an approach intermediate between the two. Four major conclusions emerged from the project. First, the suite of models demonstrate extensive disagreement in their simulations of wetland areal extent and CH4 emissions, in both space and time. Simple metrics of wetland area, such as the latitudinal gradient, show large variability, principally between models that use inundation dataset information and those that independently determine wetland area. Agreement between the models improves for zonally summed CH4 emissions, but large variation between the models remains. For annual global CH4 emissions, the models vary by ±40% of the all-model mean (190 Tg CH4 yr−1). Second, all models show a strong positive response to increased atmospheric CO2 concentrations (857 ppm) in both CH4 emissions and wetland area. In response to increasing global temperatures (+3.4 °C globally spatially uniform), on average, the models decreased wetland area and CH4 fluxes, primarily in the tropics, but the magnitude and sign of the response varied greatly. Models were least sensitive to increased global precipitation (+3.9 % globally spatially uniform) with a consistent small positive response in CH4 fluxes and wetland area. Results from the 20th century transient simulation show that interactions between climate forcings could have strong non-linear effects. Third, we presently do not have sufficient wetland methane observation datasets adequate to evaluate model fluxes at a spatial scale comparable to model grid cells (commonly 0.5°). This limitation severely restricts our ability to model global wetland CH4 emissions with confidence. Our simulated wetland extents are also difficult to evaluate due to extensive disagreements between wetland mapping and remotely sensed inundation datasets. Fourth, the large range in predicted CH4 emission rates leads to the conclusion that there is both substantial parameter and structural uncertainty in large-scale CH4 emission models, even after uncertainties in wetland areas are accounted for.