Limitations of a cosolvent for ecotoxicity testing of hydrophobic compounds.
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Biological Assay↗
Biomedical subjects
G I Paton
Publications and source records attributed to G I Paton.
Predicting arsenic solubility in contaminated soils using isotopic dilution techniques.
An isotopic dilution assay was developed to measure radiolabile As concentration in a diverse range of soils (pH 3.30-7.62; % C = 1.00-6.55). Soils amended with 50 mg of As kg(-1) (as Na2HAsO4 x 7H2O) were incubated for over 800 d in an aerated "microcosm" experiment. After 818 d, radiolabile As ranged from 27 to 57% of total applied As and showed a pH-dependent increase above pH 6. The radiolabile assay was also applied to three sets of soils historically contaminated with sewage sludge or mine-spoil. Results reflected the various geochemical forms in which the arsenic was present. On soils from a sewage disposal facility, radiolabile arsenate ranged from 3 to 60% of total As; mean lability was lower than in the equivalent pH range of the microcosm soils, suggesting occlusion of As into calcium phosphate compounds in the sludge-amended soils. In soils from mining areas in the U.K. and Malaysia, radiolabile As accounted for 0.44-19% of total As. The lowest levels of lability were associated with extremely large As concentrations, up to 17,000 mg kg(-1), from arsenopyrite. Soil pore water was extracted from the microcosm experiment and speciated using "GEOCHEM". The solid<==>solution equilibria of As in the microcosm soils was described by a simple model based on competition between HAsO4(2-) and HPO4(2-) for "labile" adsorption sites.
Arsenic↗
On-line microbial biosensing and fingerprinting of water pollutants.
The potential for biosensors to contribute to on-line toxicity testing for monitoring of water quality is currently constrained both by the relevance of the biosensors available and the technology for biosensor delivery. This paper reports the use of novel slow release biosensor delivery for on-line monitoring instrumentation, with environmentally relevant bacteria for both simple toxicity testing and more complex toxicity fingerprinting of industrial effluents. The on-line toxicity test, using bioluminescence-based biosensors, proved to be as sensitive and reliable as the corresponding batch test, with comparable contaminant EC(50) values from both methods. Toxicity fingerprinting through the investigation of the kinetics (dose-response) and the dynamics (response with time) of the biosensor test response proved to be diagnostic of both effluent type and composition. Furthermore, the slow release of biosensors immobilised in a polyvinyl alcohol (PVA) matrix greatly improved biosensor delivery, did not affect the sensitivity of toxicity testing, and demonstrated great potential for inclusion in on-line monitoring instrumentation.
Biosensing Techniques↗
Microbial communities in different soil types do not converge after diesel contamination.
AIMS: To study the comparative effect of diesel addition and simulated bioremediation on the microbial community in three different soil types. METHODS AND RESULTS: Three different soils were amended with diesel and bioremediation treatment simulated by addition of nutrients. The progress of bioremediation, and the effect on the indigenous microbial communities, was monitored using microbiological techniques. These included basal respiration, sole carbon source utilization patterns using both a commercially-available substrate set and a set designed to highlight changes in hydrocarbon-utilizing bacteria, and phospholipid fatty acid (PLFA) profiling. The development of active hydrocarbon-degrading communities was indicated by the disappearance of diesel, increases in soil respiration and biomass, and large changes in the sole carbon source utilization patterns and PLFA profiles compared with control soils. However, comparison of the relative community structure of the three soils using PLFA profiling showed that there was no tendency for the community structure of the three different soil types to converge as a result of contamination. In fact, they became more dissimilar as a result. Changes in the sole carbon source utilization patterns using the commercially-available set of carbon sources indicated the same result as shown by PLFA profiling. The specially selected set of carbon sources yielded no additional information compared with the commercially-available set. CONCLUSIONS: Diesel contamination does not result in the development of similar community profiles in different soil types. SIGNIFICANCE AND IMPACT OF THE STUDY: The results suggest that different soils have different inherent microbial potential to degrade hydrocarbons, a finding that should be taken into account in impact and risk assessments. Following the development of the microbial community and its recovery is a useful and sensitive way of monitoring the impact and recovery of oil-contaminated soils.
Bacteria↗
Toxicity of the bacterial luciferase substrate, n-decyl aldehyde, to Saccharomyces cerevisiae and Caenorhabditis elegans.
This study determined that the bacterial luciferase fusion gene (luxAB) was not a suitable in vivo gene reporter in the model eukaryotic organisms Saccharomyces cerevisiae and Caenorhabditis elegans. LuxAB expressing S. cerevisiae strains displayed distinctive rapid decays in luminescence upon addition of the bacterial luciferase substrate, n-decyl aldehyde, suggesting a toxic response. Growth studies and toxicity bioassays have subsequently confirmed, that the aldehyde substrate was toxic to both organisms at concentrations well tolerated by Escherichia coli. As the addition of aldehyde is an integral part of the bacterial luciferase activity assay, our results do not support the use of lux reporter genes for in vivo analyses in these model eukaryotic organisms.
Aldehydes↗
Development and application of bioluminescent Caenorhabditis elegans as multicellular eukaryotic biosensors.
We describe a novel approach to assess toxicity to the free-living nematode Caenorhabditis elegans that relies on the ability of firefly luciferase to report on endogenous ATP levels. We have constructed bioluminescent C. elegans with the luc gene under control of a constitutive promoter. Light reduction was observed in response to increasing temperature, concentrations of copper, lead and 3,5-dichlorophenol. This was due to increased mortality coupled with decreased metabolic activity in the surviving animals. The light emitted by the transgenic nematodes gave a rapid, real-time indication of metabolic status. This forms the basis of rapid and biologically relevant toxicity tests.
Adenosine Triphosphate↗
Use of bacterial biosensors to interpret the toxicity and mixture toxicity of herbicides in freshwater.
The dose response relationship between seven commonly used herbicides and four luminescence-based bacterial biosensors was characterised. As herbicide concentration increased the light emitted by the test organism declined in a concentration dependent manner. These dose responses were used to compare the predicted vs. observed response of a biosensor in the presence of multiple contaminants. For the majority of herbicide interactions, the relationship was not additive but primarily antagonistic and sometimes synergistic. These biosensors provide a sensitive test and are able to screen a large volume and wide range of samples with relative rapidity and ease of interpretation. In this study biosensor technology has been successfully applied to interpret the interactive effects of herbicides in freshwater environments.
Bacteria↗
Development of QSARs to investigate the bacterial toxicity and biotransformation potential of aromatic heterocylic compounds.
A series of aromatic heterocyclic and hydrocarbon compounds were tested for toxicity and biotransformation potential against two contrasting lux-marked whole-cell microbial biosensors. Toxicity was determined by inhibition of light output of a Pseudomonas fluorescens construct that expresses lux constitutively. Biotransformation was tested by increase in light output of P. fluorescens HK44 (pUTK21), which expresses lux when in the presence of a metabolic intermediate (salicylate). The data were then modelled against physical/chemical properties of the compounds tested to see if quantitative structure-activity relationships (QSARs) could be derived. Toxicity was found to be accurately predicted by log Kow (R2 = 0.95, Q2 = 0.88), with the basic (pyridine-ring containing) heterocycles modelled separately. The biotransformation data were best modelled using lowest unoccupied molecular orbital (LUMO) energies (R2 = 0.90, Q2 = 0.87).
Biotransformation↗
Soil solution extraction techniques for microbial ecotoxicity testing: a comparative evaluation.
The suitability of two different techniques (centrifugation and Rhizon sampler) for obtaining the interstitial pore water of soil (soil solution), integral to the ecotoxicity assessment of metal contaminated soil, were investigated by combining chemical analyses and a luminescence-based microbial biosensor. Two different techniques, centrifugation and Rhizon sampler, were used to extract the soil solution from Insch (a loamy sand) and Boyndie (a sandy loam) soils, which had been amended with different concentrations of Zn and Cd. The concentrations of dissolved organic carbon (DOC), major anions (F- , CI-, NO3, SO4(2-)) and major cations (K+, Mg2+, Ca2+) in the soil solutions varied depending on the extraction technique used. Overall, the concentrations of Zn and Cd were significantly higher in the soil solution extracted using the centrifugation technique compared with that extracted using the Rhizon sampler technique. Furthermore, the differences observed between the two extraction techniques depended on the type of soil from which the solution was being extracted. The luminescence-based biosensor Escherichia coli HB101 pUCD607 was shown to respond to the free metal concentrations in the soil solutions and showed that different toxicities were associated with each soil, depending on the technique used to extract the soil solution. This study highlights the need to characterise the type of extraction technique used to obtain the soil solution for ecotoxicity testing in order that a representative ecotoxicity assessment can be carried out.
Biological Assay↗
Comparison of response of six different luminescent bacterial bioassays to bioremediation of five contrasting oils.
The performance of six different bioluminescent bacteria for the assessment of oil bioremediation was compared. Three contained lux genes linked to promoters from hydrocarbon degradation pathways: Pseudomonas fluorescens HK44 (pUTK21), Escherichia coli HMS174 (pOS25) and E. coli DH5 alpha (pGEc74, pJAMA7), responding to naphthalene, isopropylbenzene and octane, respectively. The other three expressed lux constitutively: E. coli HB101 (pUCD607) and P. putida F1 (pUCD607) are genetically engineered, while Vibrio fischeri is naturally bioluminescent and was included to facilitate comparison with previous work. Five different oils (four crude oils plus diesel) were spiked into soil, and the progress of remediation was followed over a period of 119 d by monitoring both hydrocarbon disappearance and changes in the microbial response to soil extracts. The octane bioassay was the only one of the hydrocarbon-responsive bacterial assays to show any appreciable response, with up to 20-fold induction by light crude oils. Heavy crude oil and diesel elicited a much weaker response. The metabolic (lux constitutively expressed) bioassays showed that there was a general increase in toxicity over the course of the experiment, although toxicity to E. coli HB101 (pUCD607) appeared to be decreasing by the final sampling point. The metabolic bioassay response was much less variable between the different oils than for the first three, catabolic, strains.
Benzene Derivatives↗
A novel toxicity fingerprinting method for pollutant identification with lux-marked biosensors.
A novel technique is described for the identification and quantification of environmental pollutants based on toxicity fingerprinting with a metabolic lux-marked bacterial biosensor. This method involved characterizing the toxicity-based responses of the biosensor to seven calibration pollutants as acute temporal-dose response fingerprints. An algorithm is described to allow comparisons of responses of an unknown pollutant to be made against the calibration data. This is based on predicting pollutant concentration at each of six different time points over the course of a 5-min assay. If the prediction is consistent between the unknown pollutant and a calibration pollutant at the 95% test level, this is considered to be a positive identification. All seven calibration pollutants could be successfully distinguished from each other with this technique. Environmental samples, individually spiked with single concentrations of pollutants, were compared in this way against the calibration pollutants. An 83% identification success was achieved, with no false positives at the 95% test level. This is a simple and rapid technique that potentially can be applied to monitoring of industrial wastewater or as a screening tool for regulators.
Algorithms↗
Investigating the specificity of regulators of degradation of hydrocarbons and hydrocarbon-based compounds using structure-activity relationships.
Microbial biosensors which have genes for bioluminescence coupled to genes that control hydrocarbon degradation pathways can be used as reporters on the specificity of regulation of those pathways. Structure-activity relationships can be used to discover what governs that specificity, and can also be used to separate compounds into different groups depending on mode of action. Published data for four different bioluminescent biosensors, reporting on toluene (two separate biosensors), isopropylbenzene, and octane, were analyzed to develop structure-activity relationships between biological response and physical/chemical properties. Good QSARs (quantitative structure-activity relationships) were developed for three out of the four biosensors, with between 88 and 100 per cent of the variance explained. Parameters found to be important in controlling regulator specificity were hydrophobicity, lowest unoccupied molecular orbital energies, and molar volume. For one of the biosensors, it was possible to show that the biological response to chemicals tested fell into three separate classes (non-hydrocarbons, aliphatic hydrocarbons, and aromatic hydrocarbons). A statistically significant QSAR based on hydrophobicity was developed for the fourth biosensor, but was poor in comparison to the other three (44 per cent variance explained).
Bacterial Proteins↗
Lux-biosensor assessment of pH effects on microbial sorption and toxicity of chlorophenols.
Lux-marked bacterial biosensors and a commercial toxicity testing bacterial strain (Microtox) were exposed to 2,4-dichlorophenol (DCP) and the light output response measured. Increasing DCP concentrations caused a decrease in light output in all three biosensors with an order of sensitivity (in terms of luminescence decrease over the DCP concentration range) of Pseudomonas fluorescens < Escherichia coli < Microtox. Adsorption of DCP to E. coli was measured using uniformly ring labelled [14C]DCP and found to be very rapid. The effect of pH on toxicity and adsorption was also investigated. Low pH values increased the amount of DCP adsorbed to the cell and increased the toxicity of DCP.
Adsorption↗
Feasibility of using prokaryote biosensors to assess acute toxicity of polycyclic aromatic hydrocarbons.
The aim of this study was to assess the acute toxicity of polycyclic aromatic hydrocarbons using lux-marked bacterial biosensors. Standard solutions of phenanthrene, pyrene and benzo[a]pyrene were produced using 50 mM hydroxpropyl-beta-cyclodextrin solution which contained each respective polycyclic aromatic hydrocarbon at 6.25 times the aqueous solubility limit of the compound. The polycyclic aromatic hydrocarbon solutions were incubated with each of the biosensors for 280 min and the bioluminescence monitored every 20 min. Over the incubation time period, there was no significant decrease in bioluminescence in any of the biosensors tested with the exception of Rhizobium leguminosarum biovar trifolii TA1 luxAB. In this series of incubations, there was a dramatic increase in bioluminescence in the presence of phenanthrene (2.5 times) and benzo[a]pyrene (3 times) above that of the background control (biosensor without polycyclic aromatic hydrocarbon) after 20 min. Over the next 3 h, bioluminescence decreased to that of the control. An ATP assay was carried out on the biosensors to assess if uncoupling of the oxidative phosphorylation mechanisms in the respiratory chain of the cells had occurred. However, it was found that the polycyclic aromatic hydrocarbons had no effect on the organisms indicating that there was no uncoupling. Additionally, mineralisation studies using 14C-labelled polycyclic aromatic hydrocarbons showed that the biosensors could not mineralise the compounds. This study has shown that the three polycyclic aromatic hydrocarbons tested are not acutely toxic to the prokaryotic biosensors tested, although acute toxicity has been shown in other bioassays. These results question the rationale for using prokaryote biosensors to assess the toxicity of hydrophobic chemicals, such as polycyclic aromatic hydrocarbons.
Adenosine Triphosphate↗
Development of an acute and chronic ecotoxicity assay using lux-marked Rhizobium leguminosarum biovar trifolii.
A soil isolate of Rhizobium leguminosarum bv. trifolii was marked with a lux CDABE gene cassette to enable the expression of bioluminescence. The suitability of the bacterium as a soil pollution biosensor was assessed using acute and chronic assays. Bacterial bioluminescence responded sensitively to the metals studied. The order of sensitivity was found to be Cd > Ni = Zn > Cu for the acute test and Cd > Ni = Zn = Cu for the chronic test. The sensitive response of the biosensor highlighted its potential for use as an indicator of soil pollution.
Biosensing Techniques↗