Joint algal toxicity of 16 dissimilarly acting chemicals is predictable by the concept of independent action

For a predictive assessment of the aquatic toxicity of chemical mixtures, two competing concepts are available: concentration addition and independent action. Concentration addition is generally regarded as a reasonable expectation for the joint toxicity of similarly acting substances. In the opposite case of dissimilarly acting toxicants the choice of the most appropriate concept is a controversial issue. In tests with freshwater algae we therefore studied the extreme situation of multiple exposure to chemicals with strictly different specific mechanisms of action. Concentration response analyses were performed for 16 different biocides, and for mixtures containing all 16 substances in two different concentration ratios. Observed mixture toxicity was compared with predictions, calculated from the concentration response functions of individual toxicants by alternatively applying both concepts. The assumption of independent action yielded accurate predictions, irrespective of the mixture ratio or the effect level under consideration. Moreover, results even demonstrate that dissimilarly acting chemicals can show significant joint effects, predictable by independent action, when combined in concentrations below individual NOEC values, statistically estimated to elicit insignificant individual effects of only 1%. The alternative hypothesis of concentration addition resulted in overestimation of mixture toxicity, but differences between observed and predicted effect concentrations did not exceed a factor of 3.2. This finding complies with previous studies, which indicated near concentration-additive action of mixtures of dissimilarly acting substances. Nevertheless, with the scientific objective to predict multi-component mixture toxicity with the highest possible accuracy, concentration addition obviously is no universal solution. Independent action proves to be superior where components are well known to interact specifically with different molecular target sites, and provided that reliable statistical estimates of low toxic effects of individual mixture constituents can be given. With a regulatory perspective, however, fulfilment of both conditions may be regarded as an extraordinary situation, and hence concentration addition may be defendable as a pragmatic and precautionary default assumption.     

The single substance and mixture toxicity of quinolones to the bioluminescent bacterium Vibrio fischeri

Quinolones are one of the most important group of synthetic antibiotics used in aquaculture. We studied the single substance and mixture toxicity of ten quinolones using a long term bioluminescence inhibition assay with the marine bacterium Vibrio fischeri as the test organism. All tested quinolones are highly toxic to the test organism with EC50 values ranging from 14 μg/l for ofloxacin to 1020 μg/l for pipemidic acid. Adapting the approach outlined in EEC directive 93/21/EEC to these results, all but one of the ten quinolones belong to the group classified as being 'very toxic to aquatic organisms' (EC50 below 1 mg/l). On the basis of the concentration-response relationships of the single compounds, the mixture toxicity of the ten compounds was estimated by the concepts of concentration addition and independent action. Complete concentration-response relationships were experimentally recorded for the quinolone mixture in three different mixture ratios, based on the relative toxicity of the components (EC50, EC1 and NOEC). The results show that the mixture toxicity of the quinolones is best predictable by concentration addition, whereas independent action underestimates the toxicity of the mixture. As the quinolones have an identical specific mechanism of action (the inhibition of bacterial gyrases), these results are in agreement with the pharmacological assumptions that form the basis of the concept of concentration addition. It is therefore concluded, that concentration addition can be useful for hazard assessment procedures of mixtures of similarly acting compounds. One important implication of this concept is that even mixture components that are present only at their individual no observed effect concentrations (NOECs) contribute to the overall toxicity of the mixture. Under these conditions more than 99% effect of the quinolone mixture are observed. This result emphasises the unsuitability of NOECs as an approximation of a 'safe' concentration.     

Organophosphorous insecticides as herbicide synergists on the green algae <Emphasis Type="Italic">Pseudokirchneriella subcapitata</Emphasis> and the aquatic plant <Emphasis Type="Italic">Lemna minor</Emphasis>

Models proposed for risk assessment of chemical mixtures assume no interactions between the chemicals. There are, however, studies indicating that some organophosporous insecticides can inhibit the detoxification of other chemicals in plants thereby enhancing their effect. The present study investigates whether interactions between selected organophosporous insecticides and herbicides can take place in the aquatic algae Pseudokirchneriella subcapitata and the aquatic macrophyte Lemna minor. For both species binary mixtures of the organophosphate insecticides: malathion, endosulfan and chlorpyrifos were tested together with the herbicides metsulfuron-methyl, terbutylazine and bentazone. For mixtures with malathion on algae, dose-response surfaces were made and the results tested against the model of concentration addition (CA) and independent action (IA). The Lemna minor tests showed no indication of synergy for any of the combinations, on the contrary, significant antagonism was found for several of the mixtures. The response surface analysis showed antagonism in relation to both concentration addition and independent action for mixtures between malathion and metsulfuron-methyl and terbuthylazine, while the mixtures with bentazone could be explained with CA. The study shows no indications of synergistic interactions between the tested pesticides, confirming the applicability of CA as a reference model predicting mixture effects of pesticides for aquatic plants and algae.     

Application and validation of approaches for the predictive hazard assessment of realistic pesticide mixtures

In freshwater systems located in agricultural areas, organisms are exposed to a multitude of toxicologically and structurally different pesticides. For regulatory purposes it is of major importance whether the combined hazard of these substances can be predictively assessed from the single substance toxicity. For artificially designed multi-component mixtures, it has been shown that the mixture toxicity can be predicted by concentration addition (CA) in case of similarly acting substances and by independent action (IA), if mixtures are composed of dissimilarly acting substances. This study aimed to analyse whether these concepts may also be used to predictively assess the toxicity of environmentally realistic mixtures. For this purpose a mixture of 25 pesticides, which reflects a realistic exposure scenario in field run-off water, was studied for its effects on the reproduction of the freshwater alga Scenedesmus vacuolatus. The toxicity of the tested mixtures showed a good predictability by CA. This is consistent with the finding that the toxicity was dominated by a group of similarly acting photosystem II inhibitors, although the mixture included substances with diverse and partly unknown mechanisms of action. IA slightly underestimated the actual mixture toxicity. However, the EC(50) values that can be derived from each prediction, according to CA respectively IA, only differed by a factor of 1.3. The finding of such a small difference is partly explainable by the fact that only few components dominate the mixture scenario in terms of so-called toxic units (TUs). This connection is established by developing an equation that allows to calculate the maximum possible ratio between corresponding predictions of effect concentrations by IA and CA for any given ratio of the TUs of mixture components, irrespective of their individual concentration-response functions and independent from their mechanisms of action. To evaluate whether small quantitative differences between EC(50) values predicted by CA and IA are an exception or rather the rule for agricultural exposure scenarios, this calculation was applied on an additional set of 18 pesticide exposure scenarios that were taken from the literature. For these scenarios, EC(50) values predicted by IA can never exceed those predicted by CA by more than a factor of 2.5. The findings of this study support the view that CA provides a precautious but not overprotective approach to the predictive hazard assessment of pesticide mixtures under realistic exposure scenarios, irrespective of the similarity or dissimilarity of their mechanisms of action.     

A novel model integrated concentration addition with independent action for the prediction of toxicity of multi-component mixture

Concentration addition (CA) and independent action (IA) have been used to describe the mixture of components having similar and dissimilar mode of action (MOA), respectively. Environmentally relevant mixture does, however, not follow the strictly similar or dissimilar MOA. A novel model, which integrated CA with IA based on the multiple linear regression (ICIM), was proposed for predicting the toxicity of noninteractive mixture. The predictive power of the ICIM model was validated by data set 1 including 13 mixtures of nine components and data set 2 including six mixtures of six components. For data set 1, ten uniform design with fixed concentration ratio ray (UDCR) mixtures was used as a training set to build an ICIM model, and the model was used to predict the toxicity of the test set consisting of three equivalent-effect concentration ratio (EECR) mixtures. For data set 2, the ICIM model based on four UDCR mixtures was used to predict the remaining two EECR mixtures. It is concluded that the ICIM model shows a strong predictive power for the mixture toxicities in the two data sets, and its prediction is better than CA and IA where the two models deviate from the concentration-response data of the mixtures. Thus, ICIM model is a powerful tool to evaluate and predict mixture toxicity, and maybe offer an important approach in risk assessment of mixture toxicity.     

Toxicity of mixtures of aquatic contaminants using the luminescent bacteria bioassay

The toxic effect of single organic contaminants to aquatic biota is relatively easy to assess using classic aquatic toxicity bioassays. Unfortunately, contaminants are present in the aquatic environment in mixtures of unknown composition. Moreover, antagonistic and synergistic interactions make the prediction of the real environmental hazard posed by organic contaminants more complicated. A mathematical algorithm has been developed to predict the toxicity of mixtures of organic contaminants to aquatic biota using toxicity data for the individual components of the mixture. The Microtox® toxicity bioassay was used to obtain the toxicity data for a set of chlorinated phenols that were used as test compounds to validate the model. The unique characteristics of the Microtox bioassay make it a perfect tool to confirm experimentally the ability of the model to estimate the combined toxic effect of mixtures of organic contaminants.     

Defining the impact of weakly estrogenic chemicals on the action of steroidal estrogens.

We tested whether bisphenol A (BPA) or o,p'-DDT, when combined with 17beta-estradiol (E2), would contribute to the overall mixture effect using a yeast reporter gene assay, the yeast estrogen screen. Following comprehensive concentration-response analyses of the single agents, the pharmacologically well-founded models of concentration addition and independent action were used to predict entire concentration-response relationships for mixtures of the agents with a variety of fixed mixture ratios, assuming additivity. For molar mixture ratios proportional to the levels normally found in human tissues (i.e., below 1:5000, E2:BPA or o,p'-DDT), these predictions suggest that the effects of individual xenoestrogens are too weak to create an impact on the actions of steroidal hormones. However, at mixture ratios more in favor of the xenoestrogens, a significant contribution to the overall mixture effect was predicted. The predictions were tested experimentally. The observed combined effects of mixtures of E2 with either BPA or o,p'-DDT did not deviate from the additivity expectation. On combining E2 with either BPA or o,p'-DDT at approximately equieffective concentrations corresponding to molar mixture ratios between 1:20,000 and 1:100,000 (E2:BPA or o,p'-DDT), substantial modulations of the effects of E2 became discernible. The assumption that weak xenoestrogens are generally unable to create an impact upon the already strong effects of endogenous steroidal estrogens is not supported by our observations. Our studies indicate that the potential health implication of additive combination effects between xenoestrogens and steroidal estrogens deserve serious consideration.     

Joint effects of a mixture of 14 chemicals on mortality and inhibition of reproduction of Daphnia magna

The toxicity to Daphnia magna of a mixture of 14 aquatic pollutants with several chemical structures and probable modes of action was determined. The joint effect of this mixture on acute mortality was compared with the effects on inhibition of reproduction. The joint toxicity in the reproduction test was lower in comparison with the mortality test. This study supports the idea that the potential for addition is reduced when more specific sublethal toxicity criteria are studied. Although the joint toxicity at sublethal level is lower than at lethal level, the toxicity of the mixtures remains much higher than that of the individual chemicals and is still near concentration addition.     

Mixture toxicity of five biocides with dissimilar modes of action on the growth and photosystem II efficiency of Chlamydomonas reinhardtii

Biocides are extensively used and universally distributed. Some are highly toxic to algae, including antifoulants, herbicides, and fungicides. The inhibition of algal growth is an important regulatory endpoint for toxicity assessment of single compounds. However, in the aquatic environment, mixtures of compounds with unknown toxicities and mode of action (MoA) co-exist, making single toxicity assessment inadequate to ensure protection of the aquatic environment. This study aimed to characterize the combined toxicity of five environmentally relevant biocides—aclonifen, bifenox, dichlofluanid, metribuzin, and triclosan—with different MoA on growth and photosystem (PS) II efficiency of Chlamydomonas reinhardtii. For growth inhibition, herbicides bifenox and metribuzin were the most toxic, whereas triclosan was least. Only aclonifen and metribuzin exerted a significant effect on PSII, which was also correlated with reduced algal growth. The combined effect of the five biocides on growth inhibition was predominantly additive and presumed to act by independent MoA with potential antagonism observed only at low concentrations and at shorter duration of exposure. The binary mixture of metribuzin and aclonifen exhibited additive effects on diminished PSII efficiency, and effects were apparently induced by an independent MoA. Potential synergy of this mixture on growth inhibition was identified at the highest concentrations. Growth inhibition was found to be a more valuable endpoint for regulatory studies than PSII inhibition due to its environmental relevance, integration of multiple MoA and sensitivity.     

Joint action of polycyclic aromatic hydrocarbons: predictive modeling of sublethal toxicity

Polycyclic aromatic hydrocarbons (PAHs) typically contaminate the environment as complex assemblages of different chemical compounds. Modeling approaches provide a means of estimating the toxicity of these PAH mixtures. In the present study, we tested the hypothesis that the joint effects of four PAHs: pyrene, phenanthrene, fluoranthene and naphthalene, on the growth rate of the crustacean Daphnia magna during sub-chronic exposure could be accurately predicted using a mathematical algorithm for concentration addition based upon the assumption that these PAHs impact growth by a common mode of action. Assessment of the individual toxicity of the four PAHs confirmed that these compounds elicited the common effect of retarding growth of daphnids at concentrations below those that were lethal to the organisms. Using the experimentally derived toxicity parameters for the individual chemicals, the toxicity of multiple mixtures of these four PAHs was modeled. These mixtures were based on concentrations reported in the environment and on equi-toxic concentrations. The effects of over 140 combinations of four mixture formulations on the growth rate of daphnids were experimentally determined and compared to model predictions. The concentration addition models tended to over predict the joint toxicity of these PAH mixtures and experimental data was better represented by an alternative model based upon the concept of independent joint action. Mixtures at environmentally relevant concentrations were predicted and experimentally demonstrated to have no effect on daphnid growth rates. Results indicate that PAHs elicit toxicity to daphnids by multiple mechanisms and demonstrate an appropriate modeling approach to assess the toxicity of these mixtures.     

Environmental Risk Assessment of Pharmaceutical Mixtures: Demands,Gaps, and Possible Bridges

The ecotoxicological risk of pharmaceutical mixtures typically exceeds the risk of each individual compound, which calls specific attention to the fact that monitoring surveys routinely find complex pharmaceutical mixtures in various environmental compartments. However, although the body of evidence on the ecotoxicology of pharmaceutical mixtures is quite consistent, the current guidelines for the environmental risk assessment of pharmaceuticals often do not explicitly address mixture effects. Data availability and acceptable methods often limit such assessments. A tiered approach that begins with summing up individual risk quotients, i.e., the ratio between the predicted or measured environmental concentration and the predicted no effect concentration (PNEC) is therefore suggested in this paper, in order to improve the realism of the environmental risk assessment of pharmaceuticals. Additionally, the use of a mixture-specific assessment factor, as well as the classical mixture toxicity concepts of concentration addition and independent action is explored. Finally, specific attention is given to the exposure-based waiving of environmental risk assessments, as currently implemented in screening or pre-screening phases (tier 0 in Europe, categorical exclusion in the USA), since even low, individually non-toxic concentrations might combine to produce substantial mixture effects.     

Predictability of the mixture toxicity of 12 similarly acting congeneric inhibitors of photosystem II in marine periphyton and epipsammon communities

Testing of single chemicals with single species is common ecotoxicological practice in contrast to contaminated environments where highly diverse biological communities are exposed to highly diverse mixtures of chemical compounds. We, therefore, investigated whether mixture toxicity approaches that have been used successfully for single species, might also be applied on a community level of biological complexity. Twelve inhibitors of photosystem II, selected by QSAR and chemometrical approaches as the structurally most similar from a congeneric group of phenylurea herbicides, were tested singly and as mixtures on two types of marine microalgal communities, periphyton and epipsammon. Inhibition of photosynthesis was measured in short-term tests using incorporation of radiolabelled carbon (14C) to estimate photosynthetic rates. Two basic concepts, concentration addition (CA) and independent action (IA), were used to predict the toxicities of the mixtures. Congeneric and similar-acting substances such as the phenylureas are expected to comply with CA rather than IA. The aim of the present study was to evaluate whether these concepts can be used to predict mixture toxicity also to periphyton and epipsammon photosynthesis, i.e. at the level of natural communities. We found that deviations between observed and predicted mixture toxicity were relatively small but that CA predictions were the more accurate ones. The predictions proved to be robust, when based on single substance information even from different seasons, years, and sites. We conclude that the concept of CA for predicting mixture toxicity applies also at the community level of algal testing; at least when a physiological short-term effect indicator is used that matches the mechanism of action of the substances.     

Joint toxicity of cadmium and SDBS on <Emphasis Type="Italic">Daphnia magna</Emphasis> and <Emphasis Type="Italic">Danio rerio</Emphasis>

Information on joint toxicity is limited. To clarify the joint toxicity and the interactions among toxicants on different aquatic organisms, we investigated the acute toxicity of cadmium and sodium dodecyl benzene sulfonate, two chemicals with high concerns in Chinese waters, on the immobilization of Daphnia magna (D. magna) and the swimming behavior of Danio rerio (D. rerio). Our results illustrated that cadmium and sodium dodecyl benzene sulfonate expressed a synergistic effect on the immobilization of D. magna; and an antagonistic effect on the swimming speed D. rerio, but a synergistic effect on its vertical position in the water column. Based on the observed data, we found the independent action model was more appropriate than the concentration addition model in the prediction of their joint toxicity. Our results gave an example of the joint toxicity investigation, and aided to comprehensive the toxicity action mode of chemical mixtures.     

Prediction and assessment of mixture toxicity of compounds in antifouling paints using the sea-urchin embryo-larval bioassay

The ecotoxicological assessment of alternative "booster" biocides is urgently needed in order to develop environmentally acceptable antifouling paints. However, research has focused mainly on single compounds, and there is still a lack of data on their mixture toxicity. The present study investigated the single and mixture toxicity of three of the most widely used antifouling biocides: zinc pyrithione, chlorothalonil and Sea-Nine, using the sea-urchin (Paracentrotus lividus) embryo-larval bioassay. Also, the predictive ability of the concentration addition (CA) and independent action (IA) concepts for antifouling mixtures was evaluated. Both concepts failed to accurately predict the toxicity of the antifouling mixtures, with the exception of the zinc pyrithione and Sea-Nine mixture, which was accurately predicted by the IA concept, suggesting a dissimilar mode of action of those substances. In general, CA predicted consistently higher toxicity than IA; however, CA overestimated the toxicity of the studied mixtures by a factor of only 1.6, representing a reasonable worst-case approach to be used in the predictive hazard assessment of antifouling mixtures. Finally, the present study demonstrates that the risk of antifouling mixtures for the early developmental stages of sea urchin is higher than the risk of each single substance, and therefore, the inclusion of mixture considerations in the development of water quality criteria for antifouling compounds is strongly recommended.     

Vitellogenin induction by a mixture of steroidal estrogens in freshwater fishes and relevant risk assessment

The study method on combined effects of environmental contaminant mixture and ecological risk assessment was discussed. Batch tests were conducted to assess the in vivo potency of binary mixtures of estrogens using plasma vitellogenin concentrations in male crucian carp as the endpoint. The estrogenic potencies of 17β‐estradiol (E₂) and 17α‐ethynylestradiol (EE₂) were determined following 14 day exposure to the individual chemicals and equipotent binary mixtures. A Nonlinear regression was obtained and 95% confidence limits of effect concentration were achieved using the bootstrap method. Concentration‐response curve for fixed ratio binary mixtures of E₂ and EE₂ was compared with those for individual chemicals, using the biomathematical models of concentration addition (CA) and independent action (IA). A complete overlap was found for the CA predictions with the 95% confidence interval of the best‐fit regression line of the observed responses, and the IA predictions was shown lower than the observations. The observed mixture effects were considerably higher than those of the hormone alone and far exceeded the 95% confidence interval of the estrogen regression lines. The predicted effects of binary mixtures at different mixture ratios indicated that the potential impact of components on mixture would depend predominantly on its concentration, the mixture ratio and its relative potency. Results suggested that E₂ and EE₂ acted together in an additive manner and the combined effects can be accurately predicted in whole range of exposure concentration by the models of CA and IA, the model of CA might be realistic, but more useful for ecological risk assessment. © 2008 Wiley Periodicals, Inc. Environ Toxicol, 2009.     

Estrogenic activity of pharmaceuticals and pharmaceutical mixtures in a yeast reporter gene system

Pharmaceuticals enter aquatic environments in unchanged form or as metabolites. Little is known about their potential hormonal activity, which is of particular interest due to potential long-term effects on fertility and reproduction in aquatic organisms. Moreover, there is a need to assess the combined activity of pharmaceutical mixtures. In this study, 37 pharmaceuticals have been analysed in vitro for estrogenic activity using a recombinant yeast system expressing the human estrogen receptor alpha. Six pharmaceuticals belonging to different therapeutic classes, cimetidine, fenofibrate, furosemide, paracetamol, phenazone and tamoxifen, exhibited weak estrogenic activity. Furosemide showed an almost full concentration-response curve, whereas the other compounds showed low efficacy. The half-maximal activities of the pharmaceuticals were in the range of 0.66-25.53 mM. Furthermore, binary mixtures of furosemide and 17beta-estradiol (E2), and furosemide and phenazone, and mixtures of up to five active pharmaceuticals were assessed for their combinatory activity at different equipotent concentrations. The estrogenic activity of binary mixtures of furosemide with E2 and phenazone, respectively, followed the model of concentration addition (CA). Mixtures of other pharmaceuticals often deviated from the CA model, because extrapolations become inaccurate with only partial and non-parallel concentration-response curves having low efficacy. This demonstrates that full and parallel concentration-response curves are a prerequisite for accurate predictions of mixture activity. Our study demonstrates for the first time weak estrogenic activity in vitro of some common pharmaceuticals and their mixtures.     

Toxicity of binary mixtures of metals and pyrethroid insecticides to Daphnia magna Straus. Implications for multi-substance risks assessment

Two different concepts, termed concentration addition (CA) and independent action (IA), describe general relationships between the effects of single substances and their corresponding mixtures allowing calculation of an expected mixture toxicity on the basis of known toxicities of the mixture components. Both concepts are limited to cases in which all substances in a mixture influence the same experimental endpoint, and are usually tested against a "fixed ratio design" where the mixture ratio is kept constant throughout the studies and the overall concentration of the mixture is systematically varied. With this design, interaction among toxic components across different mixture ratios and endpoints (i.e. lethal versus sublethal) is not assessed. In this study lethal and sublethal (feeding) responses of Daphnia magna individuals to single and binary combinations of similarly and dissimilarly acting chemicals including the metals (cadmium, copper) and the pyrethroid insecticides (lambda-cyhalothrin and deltamethrin) were assayed using a composite experimental design to test for interactions among toxic components across mixture effect levels, mixture ratios, lethal and sublethal toxic effects. To account for inter-experiment response variability, in each binary mixture toxicity assay the toxicity of the individual mixture constituents was also assessed. Model adequacy was then evaluated comparing the slopes and elevations of predicted versus observed mixture toxicity curves with those estimated for the individual components. Model predictive abilities changed across endpoints. The IA concept was able to predict accurately mixture toxicities of dissimilarly acting chemicals for lethal responses, whereas the CA concept did so in three out of four pairings for feeding response, irrespective of the chemical mode of action. Interaction effects across mixture effect levels, evidenced by crossing slopes, were only observed for the binary mixture Cd and Cu for lethal effects. The analysis of regression residuals showed that interaction effects across mixture ratios were restricted to feeding responses in binary mixtures that included Cu. These results indicate that the ability of the CA and IA concept to predict mixture toxicity effects varies from lethal to sublethal endpoints irrespective of their primary mode of action. This suggests that when considering complex responses, the pharmacological notion of mode of action should be extended to encompass an ecotoxicological mode of action, based on the concentration at which various toxicological effects become operative in the biological system under consideration.     

Antagonistic toxicity of arsenate and cadmium in a freshwater amphipod (Gammarus pulex)

Because toxicants rarely occur alone in the environment, a major challenge in risk assessment is to address the combined effects of chemicals on aquatic organisms. This work is aimed at investigating the joint toxicity action of binary mixtures of cadmium and arsenate on Gammarus pulex. Individuals were exposed during 240?h to four single arsenate or cadmium concentrations and binary mixtures of these metals according to a complete factorial plane. Observed mortality in binary mixtures was compared to observed mortality in single arsenate or cadmium exposures. In addition, interactive effects (antagonistic, additive or synergistic) were evaluated using a predictive model for the theoretically expected interactive effect of chemicals. For all the tested concentration combinations, we observed an antagonist 'between-metals' interaction on G. pulex mortality. This antagonistic effect was more marked for the lowest than for the highest (i.e. 1502.0?μg(AsV)?L(-1) and 28.5?μg(Cd)?L(-1)) tested concentrations of individual metals in binary mixtures. Metal concentrations in body tissues were evaluated and were significantly lower in binary mixtures than in single metal exposures at similar concentration, especially for combinations corresponding to the highest concentrations of both metals (1502.0?μg(AsV)?L(-1) and 28.5?μg(Cd)?L(-1)). Results were discussed in terms of (1) mechanisms of uptake and bioconcentration and (2) relationships between metal concentration in gammarid body and observed toxicity.     

Is prochloraz a potent synergist across aquatic species? A study on bacteria, daphnia, algae and higher plants

Fungicides inhibiting the biosynthesis of ergostrol, such as the triazoles and imidazoles, have been shown to enhance the effect of insecticides on birds, mammals and invertebrates in the terrestrial environment. The synergy is proposed to be due to an effect on P450 monooxygenase enzymes active in pesticide metabolism in these organisms. Fungicides often enter the aquatic environment jointly with other pesticides. It is therefore possible that they could act as synergists also in the aquatic environment. In this study we tested the joint effect of the imidazole fungicide prochloraz together with the herbicides acifluorfen, diquat and terbuthylazine, the fungicide azoxystrobin and the insecticides chlorfenvinphos, dimethoate, and pirimicarb on the bacteria Vibrio fischeri (six binary mixtures), the crustacean Daphnia magna (four binary mixtures), the algae Pseudokirchneriella subcapitata (four binary mixtures) and the floating plant Lemna minor (three binary mixtures). All the binary mixtures were evaluated both in relation to the model of concentration addition (CA) and independent action (IA) using isobolograms. The study showed strong synergy in relation to CA between prochloraz and azoxystrobin, diquat and esfenvalerat on D. magna with sums of toxic units for the 50:50% effect mixture ( summation TU(50:50)) as low as 0.25. The mixture with dimethoate was however antagonistic with summation TU(50:50) of 2.04. Four out of the six mixtures testes on V. fisheri showed synergy in relation to CA, but for three of the mixtures the response could be explained by IA. Only the mixture with diquat showed synergy in relation to both IA and CA with summation TU(50:50) around 0.50. There was no significant synergy for any of the combinations tested on the plant and the algae species in relation to CA and only for diquat in the algae-test in relation to IA. Hence, prochloraz does synergise the effect of some pesticides in the aquatic environment, but not consistently across species. The organism most susceptible to synergy by prochloraz in this study was D. magna. Especially the combination with insecticides such as esfenvalerate, where the concentration needed to immobilize 50% of the daphnia was reduced from >3microgL(-1) to less than 0.5microgL(-1) when prochloraz was added, could be problematic as these concentrations are environmentally realistic. Furthermore, insecticides and ergostrol-biosynthesis-inhibitors (EBI-fungicides) are often applied together, and are therefore likely to co-exist in surface waters, enhancing the problem of the already very potent insecticides.