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Effects of genetic mutations and chemical exposures on Caenorhabditis elegans feeding: evaluation of a novel, high-throughput screening assay.
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PMID:  18060055     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: Government agencies have defined a need to reduce, refine or replace current mammalian-based bioassays with testing methods that use alternative species. Invertebrate species, such as Caenorhabditis elegans, provide an attractive option because of their short life cycles, inexpensive maintenance, and high degree of evolutionary conservation with higher eukaryotes. The C. elegans pharynx is a favorable model for studying neuromuscular function, and the effects of chemicals on neuromuscular activity, i.e., feeding. Current feeding methodologies, however, are labor intensive and only semi-quantitative. METHODOLOGY/PRINCIPAL FINDINGS: Here a high-throughput assay is described that uses flow cytometry to measure C. elegans feeding by determining the size and intestinal fluorescence of hundreds of nematodes after exposure to fluorescent-labeled microspheres. This assay was validated by quantifying fluorescence in feeding-defective C. elegans (eat mutants), and by exposing wild-type nematodes to the neuroactive compounds, serotonin and arecoline. The eat mutations previously determined to cause slow pumping rates exhibited the lowest feeding levels with our assay. Concentration-dependent increases in feeding levels after serotonin exposures were dependent on food availability, while feeding levels decreased in arecoline-exposed nematodes regardless of the presence of food. The effects of the environmental contaminants, cadmium chloride and chlorpyrifos, on wild-type C. elegans feeding were then used to demonstrate an application of the feeding assay. Cadmium exposures above 200 microM led to a sharp drop in feeding levels. Feeding of chlorpyrifos-exposed nematodes decreased in a concentration-dependent fashion with an EC(50) of 2 microM. CONCLUSIONS/SIGNIFICANCE: The C. elegans fluorescence microsphere feeding assay is a rapid, reliable method for the assessment of neurotoxic effects of pharmaceutical drugs, industrial chemicals or environmental agents. This assay may also be applicable to large scale genetic or RNAi screens used to identify genes that are necessary for the development or function of the pharynx or other neuromuscular systems.
Authors:
Windy A Boyd; Sandra J McBride; Jonathan H Freedman
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, N.I.H., Intramural     Date:  2007-12-05
Journal Detail:
Title:  PloS one     Volume:  2     ISSN:  1932-6203     ISO Abbreviation:  PLoS ONE     Publication Date:  2007  
Date Detail:
Created Date:  2007-12-06     Completed Date:  2008-08-08     Revised Date:  2009-11-18    
Medline Journal Info:
Nlm Unique ID:  101285081     Medline TA:  PLoS One     Country:  United States    
Other Details:
Languages:  eng     Pagination:  e1259     Citation Subset:  IM    
Affiliation:
Laboratory of Molecular Toxicology, National Toxicology Program, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, United States of America.
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MeSH Terms
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Animals
Caenorhabditis elegans / drug effects,  genetics*,  physiology
Drug Evaluation, Preclinical
Feeding Behavior* / drug effects
Mutation*
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Journal ID (pmc): plosone
ISSN: 1932-6203
Publisher: Public Library of Science, San Francisco, USA
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This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
Received Day: 1 Month: 6 Year: 2007
Accepted Day: 29 Month: 10 Year: 2007
collection publication date: Year: 2007
Electronic publication date: Day: 5 Month: 12 Year: 2007
Volume: 2 Issue: 12
E-location ID: e1259
ID: 2092392
PubMed Id: 18060055
Publisher Id: 07-PONE-RA-01432R1
DOI: 10.1371/journal.pone.0001259

Effects of Genetic Mutations and Chemical Exposures on Caenorhabditis elegans Feeding: Evaluation of a Novel, High-Throughput Screening Assay Alternate Title:HTS C. elegans Feeding Assay
Windy A. Boyd1
Sandra J. McBride2
Jonathan H. Freedman12*
Daphne Soaresedit1 Role: Academic Editor
1Laboratory of Molecular Toxicology, National Toxicology Program, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, United States of America
2Nicholas School of the Environment and Earth Sciences, Duke University, Durham, North Carolina, United States of America
University of Maryland, United States of America
Correspondence: * To whom correspondence should be addressed. E-mail: freedma1@niehs.nih.gov
Contributed by footnote: Conceived and designed the experiments: WB JF. Performed the experiments: WB. Analyzed the data: SM. Contributed reagents/materials/analysis tools: JF. Wrote the paper: WB SM.

Introduction

Large numbers of chemicals are produced annually and, without efficient models for toxicological testing, the processes of drug discovery and chemical safety evaluation are often delayed. For many years, government and industry have primarily relied upon mammalian systems to evaluate chemical toxicity. Now, there is a concerted effort to reduce, replace, or refine the use of mammals in laboratory testing [1]. The development of better molecular and computational tools has provided an opportunity for the creation of faster screens using alternative species. Testing with the nematode Caenorhabditis elegans offers a unique approach that possesses advantages over cell-based in vitro assays, which are rapid but may not be physiologically relevant, as well as mammalian studies, which are slow and expensive but may better represent human responses. C. elegans is an excellent alternative model organism for toxicological screening for several reasons. It is simple enough to use in a manner similar to cultured cells, but is a multi-cellular organism that exhibits complex behaviors [2]. There is a high degree of evolutionary conservation between C. elegans and higher organisms in many of the stress-response genes and cognate signal transduction pathways that are affected by toxicant exposure [3]. Additionally, C. elegans can grow and reproduce in multi-well plates, making it applicable for high-throughput robotic technologies.

For over 30 years feeding behavior and physiology have been studied in C. elegans[4]. The C. elegans pharynx has been used as a model of cardiac and skeletal muscle cell function and behavior. Rhythmic contractions of the pharynx pump liquid and bacterial food in through the mouth, concentrate the bacteria and expel the excess liquid back out of the mouth, while simultaneously pumping the bacteria backwards into the intestine [5]. This pumping activity is regulated by both internal and external cues, which can be manipulated by exogenous exposures or genetic mutations [6]?[8]. Genetic mutations in C. elegans have been described in which feeding rates decrease, or there is irregular transport of bacteria through the pharynx [9].

Traditional methods to measure C. elegans feeding were designed to investigate different aspects of the pharyngeal pumping process. Most commonly, pumping rates are counted from visual observations that allow for the surveillance of bulb contractions and abnormal muscle actions [9]?[13]. Attempts to monitor the movement of bacteria through the digestive system led researchers to introduce tracers, such as mineral oil or pigments, into the liquid media [14]. As the fluid dynamics of feeding were elucidated, questions pertaining to the amount of bacteria ingested remained. Therefore, more quantitative methods were developed, including exposing nematodes to iron particles or fluorescent microspheres, and then counting the number of particles in the nematode intestine [15]?[17]. Early studies indicated that uptake of particles was related to pharyngeal pumping rate and nutritional status [18]. Another method, the electropharyngeogram, was designed to measure action potentials of the pharyngeal muscles in live nematodes or dissected pharynxes [6], [19], [20]. However, existing methods for feeding measurement allow observation of only a limited number of nematodes. Moreover, they can be time-intensive and subjective, and may require specialized technical experience.

Here we describe an automated and quantitative method for measuring C. elegans feeding that increases the level of throughput such that the feeding behaviors of hundreds of individual nematodes are quantified in minutes. This assay utilizes the COPAS Biosort, an automated nematode analysis, sorting, and dispensing platform [21]?[24], that quantitatively measures feeding using flow cytometry to measure intestinal fluorescence in nematodes after exposure to fluorescent-labeled microspheres.

We validate the assay by comparing the feeding behavior of wild-type C. elegans to Eat mutants with known defects in feeding behavior [9], as well as by exposing nematodes to chemicals known to stimulate pumping (serotonin) or uncouple pumping (arecoline). Following validation, two environmental toxicants (cadmium and chlorpyrifos) were used at sub-lethal concentrations to demonstrate the application of the feeding assay as a toxicological screen. Cadmium was chosen as a model toxicant because the effects of exposure have been described using several feeding assays [17], [25], [26]. Chlorpyrifos is an organophosphate pesticide known to cause neurological effects in humans as well as behavioral effects in C. elegans[27].

We show that this high-throughput screening technology is a powerful tool for chemical screening using a whole-organism, in vivo model. In addition, this technology may be applicable to genetic screens, including genome-wide RNAi or feeding-defective mutant identification.


Methods
Nematode culture

All strains of C. elegans were obtained from the Caenorhabditis Genetic Center (Minneapolis, MN), and were maintained at 20?C on K-agar plates seeded with E. coli OP50 [28], [29]. The Bristol N2 strain of C. elegans was used as the wild-type. The following strains were used to investigate feeding in mutants previously reported to express varying degrees of Eat phenotypes: DA531 eat-1(ad427), DA453 eat-2(ad453), DA465 eat-2(ad465), DA1113 eat-2(ad1113), DA1116 eat-2(ad1116), DA819 eat-4(ad819), DA467 eat-6(ad467), DA792 eat-6(ad792), DA521 eat-7(ad450), DA599 eat-8(ad599), DA606 eat-10(ad606), DA522 eat-13(ad522), DA573 eat-14(ad573), DA602 eat-15(ad602), JT609 eat-16(sa609), DA707 eat-17(ad707), ST6 eat-20(nc-4), and DA695 egl-19(ad695). C. elegans eggs were prepared as previously described to yield age-synchronized adult nematodes [30].

Feeding assay

Nematodes were transferred to the sample cup of the COPAS Biosort [31] (Union Biometrica Inc., Somerville, MA, USA) and diluted to approximately 1 nematode/?L. The COPAS Biosort was used to sort nematodes based on two size characteristics, their length or ?time of flight? (TOF) and optical density or ?extinction? (EXT), as well as fluorescence. Twenty-five adults were then dispensed into each well of a 96-well plate, containing a mixture of K-medium [25], chemical (if tested), and E. coli at a final volume of 50 ?L. Stock solutions of arecoline hydrobromate, serotonin creatinine sulfate complex, and cadmium chloride (Sigma Chemical Co., St Louis, MO) were prepared in K-medium. Chlorpyrifos stocks (Columbus, OH) were prepared in DMSO and all groups (including controls) were tested at final concentrations of 1% DMSO, a concentration found not to affect nematode feeding (data not shown). To ensure that the same concentrations of bacteria were present at the start of each experiment and to determine the approximate amount of bacteria eaten over exposure periods, the level of E. coli in each well was assessed by determining the optical density at 550 nm immediately after nematode transfer, and after 4- or 24-h incubations.

Following incubation for 4 h (serotonin, arecoline) or 24 h (eat mutants, cadmium, chlorpyrifos), 5 ?L aliquots of Fluoresbrite? polychromatic red microspheres (0.5 ?m diameter; diluted 1?20 in K-medium) (Polysciences, Inc., Warrington, PA) were pipetted into each well and rotated on a nutator mixer for 5 min . This size of microsphere was selected because they are similar to the size of E. coli that is used as a food source for the nematodes. The nematodes were allowed to ingest the microspheres for 10 additional min (15 min total) and were then anesthetized using 5 ?L of sodium azide (10 mM, final concentration), inhibiting further bead ingestion. Nematodes were aspirated from each well with the COPAS Biosort ReFLx; and the length, optical density, and level of fluorescence for individual C. elegans were measured.

Study design, classification of adults and data normalization

A pilot study of the feeding assay using wild-type and four eat mutants was conducted to determine the number of experimental replicates required for optimal statistical power. Considerable differences in the center and spread of fluorescence distributions were seen across experimental days, and day-to-day variability comprised a significant amount of overall variability. In addition, distributions of fluorescence showed long right tails. Across all pilot experiments, fluorescence for wild-type nematodes had a median of 1.54, with medians for each of the 23 experimental days ranging from 40% to 160% of this amount. To determine the number of replicates needed for each eat mutant strain in the feeding assay, the pilot study data were used in a mixed effects model [32]. Fluorescence was used as the response, mutant types as fixed effects, day as a random effect, and mutant by day interactions as random effects. Based on this model, the variability in the estimate of the mean fluorescence could be reduced by a factor of 25 by repeating the experiment over 3 days rather than 2; repetition of the experiment over 4 days further reduced variability in the estimate of the mean by a factor of 2.1. Based on the results of the pilot study, each measurement was repeated in six wells on each plate, as well as across three (chemical exposure) or four (mutant) experimental days, resulting in a minimum of 600 or 800 nematodes sampled for each experimental condition, respectively.

At the time of measurement (after 4- or 24-h incubations), the nematode population in each well consisted of adults and progeny. Because the feeding assay quantifies feeding in age-synchronized adult nematodes with fully developed nervous systems, it was necessary to separate the adults from their offspring for data analysis. To classify adult and larval stage nematodes based on TOF and EXT measurements, a non-parametric, robust clustering method for large datasets was used. The program CLARA (Clustering Large Applications) [33] is based on k-medoid partitioning, in which a search is made for a user-specified number of representative objects or medoids (in this case, representative measurements of TOF and EXT) in the dataset. CLARA is less affected by outliers than the well-known k-means clustering algorithm. In the application presented here, two clusters are specified a priori, representing adults and larvae. The optimal clustering configuration minimizes the average Euclidean distance between each element of the dataset and its representative object.

Once adults were classified using the CLARA algorithm, a normalization procedure was used on the fluorescence data to account for the effects of nematode size on fluorescence, skewed fluorescence distributions, and day-to-day variability. To account for the effect of nematode size on fluorescence and adjust for any possible relationship between gut volume and nematode size, each fluorescence measurement was ?size-adjusted? by dividing by its respective length or TOF measurement. Because considerable differences in the center and spread of size-adjusted fluorescence (fluorescence/TOF) distributions were seen across experimental days (data not shown), further normalization of size-adjusted fluorescence measurements was necessary prior to statistical analysis and testing. A square root transformation was applied to the wild-type C. elegans size-adjusted fluorescence measurements to eliminate long right tails and make each day's measurements approximately normally distributed. To aggregate fluorescence data across experiments and adjust for day-to-day variability, size-adjusted and square-root transformed fluorescence measurements for each mutant and each day were then centered and scaled according to the mean and variance of that day's wild-type nematode size-adjusted and square-root transformed fluorescence measurements. We refer to measurements of fluorescence that have been size-adjusted, square-root transformed, and centered and scaled to their respective day's wild-type C. elegans measurements as ?normalized fluorescence? measurements.

Ranking the impacts of eat mutations on feeding

To test differences in feeding between and among adult strains, as well as between chemical exposures, a bootstrap procedure was used to estimate means of normalized fluorescence measurements for each strain as well as bootstrap standard errors and 95% bootstrap percentile intervals for the mean. The bootstrap procedure was as follows: (1) For each experimental day, plate and mutant, repeat the following procedure 500 times: (a) Draw a bootstrap sample of size-adjusted, square root transformed fluorescence measurements for wild-type nematodes of sample size equal to 75% of the total number of nematodes measured for that day:plate combination. Bootstrap samples were drawn from observed wild-type sample sizes ranging from 81 to 217 with a mean of 179. From each bootstrap sample, calculate the wild-type C. elegans sample mean and standard deviation. (b) For each mutant strain, draw a bootstrap sample of size-adjusted, square-root transformed fluorescence measurements of sample size equal to 75% of the total number measured for that day: plate combination. Observed sample sizes depended on the mutant and ranged from 81 to 203 with a mean of 157. Center and scale each mutant's size adjusted and square-root transformed fluorescence measurement to its respective day's and plate's wild-type readings by subtracting the wild-type sample mean and dividing by the wild-type sample standard deviation from step (a). (c) Calculate the mean of the centered and scaled mutant measurements in (b). This represents a single bootstrap sample of the mean normalized fluorescence measurement for a given mutant. For each mutant, 500 bootstrap means were calculated.

Because the sampling distributions of bootstrap means for each mutant appeared approximately normal with approximately equal variance, the Tukey-Kramer multiple comparison procedure was used to rank the bootstrap means of normalized fluorescence for each mutant by degree of feeding reduction. The critical value for the studentized range distribution at ??=?0.05, based on 19 and 9481 degrees of freedom, was q(19,?)?=?4.97.

Quantifying the effects of chemical compounds

For exposures to neuroactive compounds (serotonin and arecoline) as well as environmental contaminants (cadmium and chlorpyrifos), adult nematodes were identified using the CLARA [33] clustering algorithm, and adult fluorescence measurements were normalized as described above for statistical analysis. That is, size-adjusted, square-root transformed fluorescence measurements for each chemical concentration, feeding status and day were normalized with respect to their respective day's control nematode measurements. Bootstrap procedures identical to those described above for eat mutants were used to calculate bootstrap means, standard errors and 95% bootstrap percentile intervals for the mean under each chemical and food condition.

Of interest in the analysis of exposures to the neuroactive chemicals arecoline and serotonin were statistical differences in feeding levels between chemical exposures and their respective controls, and a Dunnett procedure was used in these cases to perform multiple comparisons. Examination of the sampling distributions of bootstrap means for nematodes indicated that distributions could reasonably be assumed to be approximately normal with approximately equal variance, allowing for two-sample t-tests between controls and each chemical/food condition. The critical value of t for the Dunnett procedure is approximately 3.06, based on 5 treatments and 1096 degrees of freedom (500 bootstrap samples per mean, with 6 means per combination of chemical and food including the control mean).

For nematode exposures to the environmental contaminants cadmium and chlorpyrifos, concentration-response curves were fit to the size-adjusted fluorescence at each concentration level. A four-parameter sigmoidal growth model derived from steady-state catalytic kinetics [34] was applied. The model, known as the Morgan-Mercer-Flodin model [35] was parameterized as follows:


Here, v is taken to be the feeding level at chemical concentration [S]. V0 is the feeding level at the concentration producing the maximal effect. Vmax is the maximal effect of the chemical over the concentration range. [S]50 is the concentration of the chemical that produces 50% of the normalized fluorescence level in the absence of the chemical, commonly known as the EC50. h is known as the Hill coefficient. When V0?=?0 and h?=?1, the expression reduces to the Michaelis-Menton model. When V0?=?0, the expression reduces to the Hill model. A non-zero value of V0 allows for a non-zero y-intercept. Parameters were estimated using a quasi-Newton method with positivity constraints [36] to minimize the sum of squared differences between observed and fitted values.


Results

The assay quantifies feeding in age-synchronized adult nematodes with fully developed nervous systems, and thus, it was necessary to separate the adults from their offspring. Plots of nematode EXT versus TOF showed clear separation between two clusters of points corresponding to adults and offspring (Fig. 1, A and B). To differentiate between adults and their offspring, a statistical clustering algorithm, CLARA, was applied to measurements of TOF and EXT. The resulting classifications are shown in Figure 1 for two C. elegans strains, wild-type and eat-2(ad465). Overall, statistical classification of measurements as adults or offspring using CLARA corresponded well with visual inspection of clusters of points in plots of TOF versus EXT for all experiments. The excellent performance of the algorithm across all experiments, both for mutant strains and chemical exposures, was due to the clear separation of adults and offspring at the time point measured; that is, there were no worms present at intermediate larval stages between L1 and adult. Of the adult nematodes originally loaded (either by mutant strain or chemical treatment) the clustering algorithm classified approximately 82%. Differences between the number of adults loaded on plates and the number classified as adults can be primarily attributed to the technical limitations of the COPAS ReFLx Sampler aspirating tool, whose manufacturer reports ?85% recovery rate (Union Biometrica, personal communication). Figure 1C shows the relationship between fluorescence and TOF in adult nematodes for the two nematode strains. Fluorescence measurements of nematodes classified as adults were normalized as previously described and used to quantify feeding.

Ranking the impacts of eat mutations on feeding

Previous descriptions of Eat phenotypes are listed in Table 1, and were based on direct observations of a limited number of individual nematodes. Similar to observations in wild-type feeding, Eat phenotypes are known to vary among individuals with identical genotypes [12]. Feeding mutations are known to result in shorter nematodes [37], which can arbitrarily lead to fluorescence measurements that are lower than those in the longer, wild-type nematodes, regardless of feeding rates. To avoid underestimation of feeding, each fluorescence measurement is size-adjusted by dividing by its respective TOF measurement. Fluorescence measurements are then square-root transformed to achieve approximate normality, and centered and scaled by the mean and variance of their respective day's wild-type C. elegans measurements. Thus, nematode feeding is expressed as ?normalized fluorescence? (Fig. 2).

To differentiate feeding levels between adult mutant strains, a bootstrap procedure was used to estimate means, standard errors and 95% bootstrap percentile intervals of normalized fluorescence measurements for each strain and a Tukey-Kramer multiple comparison procedure was used to rank the bootstrap means for each strain (Table 1). As expected, results of the bootstrap procedure showed that wild-type and mutant nematodes previously classified with a weak Eat phenotype (e.g. eat-15) fed the most over all experimental days, while mutants known to exhibit slow pumping rates (e.g. eat-1 and eat-2) fed the least (Table 1; Fig. 2). Our assay was also able to differentiate between feeding levels of different alleles of the same gene. For example, eat-2 (ad1116), had significantly different feeding measurements than any of the other three eat-2 alleles, ad453, ad465, and ad1113; while eat- 6(ad467) was significantly different from eat-6(ad792).

Quantifying the effects of neuroactive compounds on feeding

The feeding assay was valuable for screening the effects of chemicals on C. elegans neuromuscular activity. Two well-studied chemicals, serotonin and arecoline, were chosen to validate our assay because of their effects on C. elegans pharyngeal pumping [13], [15]. Adult nematodes were exposed to arecoline or serotonin after being fed or starved for 4 h in liquid culture. Figure 3 presents the results of one representative experiment illustrating that fed nematodes not exposed to serotonin or arecoline accumulated higher levels of fluorescence than nematodes that were starved for 4 h. Analysis of normalized data across experiments indicated that feeding decreased significantly in arecoline-exposed nematodes in a concentration-dependent fashion starting at 10 mM regardless of feeding status (bootstrap means significantly different from their respective control; ??=?0.05, Dunnett multiple comparison t-test). In contrast, responses to serotonin exposure were dependent on food availability (Fig. 3). Fluorescence in nematodes exposed to serotonin decreased in fed nematodes exposed to 2500 ?M, but increased in starved nematodes exposed to 250 or 2500 ?M.

Application of feeding assay to screening of environmental toxicants

The carcinogenic metal cadmium [38] and the organophosphate insecticide chlorpyrifos [39] were chosen as environmental toxicants to test the applicability of this feeding method for toxicological screening. Figure 4 illustrates representative concentration-response curves for cadmium and chlorpyrifos. Sub-lethal concentrations of both chemicals were tested. Chlorpyrifos was significantly more toxic than cadmium, as evidenced by the calculated concentrations required to reduce nematode feeding by 50% (EC50 values) ranging from 1.0 to 2.2 ?M and 260 to 324 ?M, respectively. In all cases, feeding decreased sharply in nematodes exposed to cadmium concentrations greater than 200 ?M, and decreased gradually in nematodes exposed to increasing concentrations of chlorpyrifos (Fig. 4). As evidenced by overlapping confidence intervals, the calculated EC50 values were consistent across all repetitions of the experiments for each chemical (Table 2).


Discussion

A high-throughput, in vivo assay that quantitatively measures the activity of the C. elegans pharynx is presented. This assay was validated using strains of C. elegans that have mutations that affect pharyngeal function, chemicals known to modulate feeding behavior, and environmentally relevant toxicants. In all cases, the results from this study are consistent with previous observations.

There is good agreement between the rankings of the Eat phenotypes measured using the current assay, compared to previously published observations (Table 1). There are, however, exceptions that may be attributed to differences in experimental procedure and interpretation. The original descriptions of the Eat phenotypes were based on direct observations of pharyngeal pumping [9]. These observations utilized a small sample size and were subjective. In contrast, the current methodology examines hundreds of nematodes and is quantitative. In addition, the relative strength of a phenotype may not be directly related to the amount of food consumed. For example, eat-17(ad707) was previously described as a strong Eat phenotype, but shows one of the highest feeding levels in the current assay. Higher feeding levels would be predicted based on the observation that eat-17(ad707) nematodes ?stuff their pharynxes? with bacteria. In contrast, egl-19(ad695) is described as a weak relaxation-deficient Eat, but fell in the middle of the feeding levels; possibly because the terminal bulb contractions are not timed properly with those in the corpus preventing transport of microspheres into the intestine.

In examining the applicability of this assay in testing pharmaceutical agents, the effects of two drugs, arecoline and serotonin, known to alter pharyngeal activity in C. elegans were examined. The presence of food is known to stimulate pumping whereas serotonin can stimulate pumping, even in the absence of food [15]. In contrast, arecoline inhibits pumping, independent of the presence of food [15], [40]. Consistent with these observations, exposure to the muscarinic agonist, arecoline, resulted in a concentration-dependent inhibition of feeding, independent of the starvation status while serotonin stimulated feeding in starved nematodes, but inhibited feeding in fed animals (Fig. 3). Serotonin increased feeding level in a manner similar to previous reports, in which pumping increased from 22 pumps/min in starved control nematodes to 267 pumps/min in nematodes treated with 10 mg/ml (?25 mM) serotonin [13]. The effective concentrations for serotonin activity differed slightly between the two studies. This can be attributed to the method of exposure; where previous exposures were on agar plates and the current via liquid medium. In the absence of drugs, we observed that fed nematodes ingested more microspheres than starved nematodes (Fig. 3). These observations were consistent with those previously reported, in that well-fed nematodes pump regularly when bacteria are present, while starved animals pump slowly and irregularly in the absence of food [15], [16].

In previous toxicological studies, feeding has been estimated from the amount of bacteria or particles removed from liquid media [25]?[27], [41]. To test the applicability of the new feeding assay in chemical screening, two environmental toxicants chlorpyrifos and cadmium were examined. Chlorpyrifos inhibits acetyl cholinesterase activity, blocking neuronal activity and paralyzing the animal. C. elegans express several acetyl cholinesterase genes that are potential targets of chlorpyrifos [42]. Although the effects of chlorpyrifos on C. elegans feeding have not been evaluated, other organophosphate pesticides have been shown to inhibit nematode movement [43]. EC50 values ranging from 1.0 to 2.2 ?M for feeding inhibition by chlorpyrifos in the current study (Table 2) are similar to the EC50 of 5 ?M previously reported for movement [27], [43].

Cadmium is not generally considered to be a neurotoxicant, but has been shown to cause decreased motor activity in animals [44], [45]. Cadmium has been shown to decrease feeding in C. elegans when measured as changes in optical density, bead ingestion, or red acrylic paint uptake [17], [25], [26]. An EC50 for feeding inhibition of 128 ?M cadmium was found in a previous study by measuring changes in the optical density of the exposure medium [26]. This is in good agreement with the calculated EC50s of 260, 262, and 324 ?M cadmium determined using the current assay (Table 2). In addition, as previously observed, cadmium concentrations above 200 ?M do not fully inhibit feeding, but instead resulted in minimal feeding levels [25].

An application of the microsphere feeding assay that was not explored in this study is the use of multiple fluorescents probes. The COPAS Biosort is able to simultaneously measure two of three available fluorescence emission wavelengths: 500?520, 535?555, or 600?620 nm [31]. Therefore, the accumulation of ?red-labeled? fluorescence microspheres can be quantified while at the same time measuring the expression of a green fluorescence protein probe without interference. Routinely a myo-2::GFP expressing transgenic strain of C. elegans is used in these assays. If the use of red fluorescent markers were necessary, other fluorescent microspheres are available with various excitation and emission characteristics.

The C. elegans fluorescence microsphere feeding assay is a rapid, reliable method for the assessment of neurotoxic effects of pharmaceutical drugs, industrial chemicals or environmental agents. This assay may also be applicable in large scale genetic or RNAi screens [46], [47] used to identify genes that are necessary for the development or function of the pharynx or other neuromuscular systems including mammalian cardiac models.


Notes

Competing Interests: The authors have declared that no competing interests exist.

Funding: This work was supported (in part) by the National Toxicology Program, and by the Intramural Research Program of the NIH, and NIEHS. Some nematode strains used in this work were provided by the Caenorhabditis Genetics Center, which is funded by the NIH National Center for Research Resources (NCRR).

Nematode strains used in this work were provided by the Caenorhabditis Genetics Center, which is funded by the NIH National Center for Research Resources. The authors would like to acknowledge the technical assistance of Julie Rice and Daniel Snyder in the performance of these studies. We also acknowledge Grace Kissling and Chris Portier for helpful comments on the quantitative methods and the manuscript.


References
1. Becker RA,Borgert CJ,Webb S,Ansell J,Amundson S,et al. 2006;Report of an ISRTP workshop: progress and barriers to incorporating alternative toxicological methods in the U.S.Regul Toxicol Pharmacol 46:18–22. [pmid: 16876299]
2. Corsi AK. 2006;A biochemist's guide to Caenorhabditis elegans.Anal Biochem 359:1–17. [pmid: 16942745]
3. Culetto E,Sattelle DB. 2000;A role for Caenorhabditis elegans in understanding the function and interactions of human disease genes.Hum Mol Genet 9:869–877. [pmid: 10767309]
4. Croll NA. 1975;Indolealkylamines in the coordination of nematode behavioral activities.Can J Zool 53:894–903. [pmid: 1079747]
5. Avery L,Shtonda BB. 2003;Food transport in the C. elegans pharynx.J Exp Biol 206:2441–2457. [pmid: 12796460]
6. Davis MW,Somerville D,Lee RY,Lockery S,Avery L,et al. 1995;Mutations in the Caenorhabditis elegans Na,K-ATPase alpha-subunit gene, eat-6, disrupt excitable cell function.J Neurosci 15:8408–8418. [pmid: 8613772]
7. Petersen CI,McFarland TR,Stepanovic SZ,Yang P,Reiner DJ,et al. 2004;In vivo identification of genes that modify ether-a-go-go-related gene activity in Caenorhabditis elegans may also affect human cardiac arrhythmia.Proc Natl Acad Sci U S A 101:11773–11778. [pmid: 15280551]
8. Franks DM,Izumikawa T,Kitagawa H,Sugahara K,Okkema PG. 2006;C. elegans pharyngeal morphogenesis requires both de novo synthesis of pyrimidines and synthesis of heparan sulfate proteoglycans.Dev Biol 296:409–420. [pmid: 16828468]
9. Avery L. 1993;The genetics of feeding in Caenorhabditis elegans.Genetics 133:897–917. [pmid: 8462849]
10. Shibata Y,Fujii T,Dent JA,Fujisawa H,Takagi S. 2000;EAT-20, a novel transmembrane protein with EGF motifs, is required for efficient feeding in Caenorhabditis elegans.Genetics 154:635–646. [pmid: 10655217]
11. Huang C,Xiong C,Kornfeld K. 2004;Measurements of age-related changes of physiological processes that predict lifespan of Caenorhabditis elegans.Proc Natl Acad Sci U S A 101:8084–8089. [pmid: 15141086]
12. Raizen DM,Lee RY,Avery L. 1995;Interacting genes required for pharyngeal excitation by motor neuron MC in Caenorhabditis elegans.Genetics 141:1365–1382. [pmid: 8601480]
13. Horvitz HR,Chalfie M,Trent C,Sulston JE,Evans PD. 1982;Serotonin and octopamine in the nematode Caenorhabditis elegans.Science 216:1012–1014. [pmid: 6805073]
14. Avery L,Thomas JH. 1997Feeding and Defecation.Riddle DL,Blumenthal T,Meyer BJ,Priess JRC elegans II Plainview, NY: Cold Spring Harbor Laboratory Press; :679–716.
15. Avery L,Horvitz HR. 1990;Effects of starvation and neuroactive drugs on feeding in Caenorhabditis elegans.J Exp Zool 253:263–270. [pmid: 2181052]
16. Avery L,Bargmann CI,Horvitz HR. 1993;The Caenorhabditis elegans unc-31 gene affects multiple nervous system-controlled functions.Genetics 134:455–464. [pmid: 8325482]
17. Boyd WA,Cole RD,Anderson GL,Williams PL. 2003;The effects of metals and food availability on the behavior of Caenorhabditis elegans.Environ Toxicol Chem 22:3049–3055. [pmid: 14713049]
18. Klass MR. 1983;A method for the isolation of longevity mutants in the nematode Caenorhabditis elegans and initial results.Mech Ageing Dev 22:279–286. [pmid: 6632998]
19. Raizen DM,Avery L. 1994;Electrical activity and behavior in the pharynx of Caenorhabditis elegans.Neuron 12:483–495. [pmid: 8155316]
20. Niacaris T,Avery L. 2003;Serotonin regulates repolarization of the C. elegans pharyngeal muscle.J Exp Biol 206:223–231. [pmid: 12477893]
21. Furlong EE,Profitt D,Scott MP. 2001;Automated sorting of live transgenic embryos.Nat Biotechnol 19:153–156. [pmid: 11175730]
22. Gill MS,Olsen A,Sampayo JN,Lithgow GJ. 2003;An automated high-throughput assay for survival of the nematode Caenorhabditis elegans.Free Radic Biol Med 35:558–565. [pmid: 12957648]
23. Rea SL,Wu D,Cypser JR,Vaupel JW,Johnson TE. 2005;A stress-sensitive reporter predicts longevity in isogenic populations of Caenorhabditis elegans.Nat Genet 37:894–898. [pmid: 16041374]
24. Couillault C,Pujol N,Reboul J,Sabatier L,Guichou JF,et al. 2004;TLR-independent control of innate immunity in Caenorhabditis elegans by the TIR domain adaptor protein TIR-1, an ortholog of human SARM.Nat Immunol 5:488–494. [pmid: 15048112]
25. Jones D,Candido EP. 1999;Feeding is inhibited by sublethal concentrations of toxicants and by heat stress in the nematode Caenorhabditis elegans: relationship to the cellular stress response.J Exp Zool 284:147–157. [pmid: 10404644]
26. Anderson GL,Boyd WA,Williams PL. 2001;Assessment of sublethal endpoints for toxicity testing with the nematode Caenorhabditis elegans.Environ Toxicol Chem 20:833–838. [pmid: 11345460]
27. Anderson GL,Cole RD,Williams PL. 2004;Assessing behavioral toxicity with Caenorhabditis elegans.Environ Toxicol Chem 23:1235–1240. [pmid: 15180374]
28. Williams PL,Dusenbery DB. 1988;Using the Nematode Caenorhabditis-Elegans to Predict Mammalian Acute Lethality to Metallic Salts.Toxicology and Industrial Health 4:469–478. [pmid: 3188044]
29. Brenner S. 1974;The genetics of Caenorhabditis elegans.Genetics 77:71–94. [pmid: 4366476]
30. Khanna N,Cressman CP 3rd,Tatara CP,Williams PL. 1997;Tolerance of the nematode Caenorhabditis elegans to pH, salinity, and hardness in aquatic media.Arch Environ Contam Toxicol 32:110–114. [pmid: 9002442]
31. Pulak R. 2006;Techniques for analysis, sorting, and dispensing of C. elegans on the COPAS flow-sorting system.Methods Mol Biol 351:275–286. [pmid: 16988441]
32. Neter J,Kutner MH,Wasserman W,Nachtsheim CJ. 1996Chapter 24. Applied Linear Statistical Models. 4th ed Chicago: Irwin; :959–100.
33. Kaufman L,Rousseeuw PJ. 2005Chapter 3. Finding Groups in Data: An Introduction to Cluster Analysis New York, NY: Wiley-Interscience; :126–163.
34. Copeland RA. 2000Chapter 5. Enzymes: A Practical Introduction to Structure, Mechanism, and Data Analysis New York, NY: Wiley-VCH Publishers; :109–145.
35. Ratkowsky DA. 1983Chapter 4 Nonlinear Regression Modeling, A Unified Practical Approach New York, NY: Marcel Dekker; :75–79.
36. Byrd RH,Lu P,Nocedal J,Zhu C. 1995;A limited memory algorithm for bound constrained optimization.SIAM Journal on Scientific Computing 16:1190–1208.
37. Morck C,Pilon M. 2006;C. elegans feeding defective mutants have shorter body lengths and increased autophagy.BMC Dev Biol 6:39. [pmid: 16884547]
38. Waalkes MP. 2000;Cadmium carcinogenesis in review.J Inorg Biochem 79:241–244. [pmid: 10830873]
39. Barron MG,Woodburn KB. 1995;Ecotoxicology of chlorpyrifos.Rev Environ Contam Toxicol 144:1–93. [pmid: 8599033]
40. You YJ,Kim J,Cobb M,Avery L. 2006;Starvation activates MAP kinase through the muscarinic acetylcholine pathway in Caenorhabditis elegans pharynx.Cell Metab 3:237–245. [pmid: 16581001]
41. Thompson G,de Pomerai DI. 2005;Toxicity of short-chain alcohols to the nematode Caenorhabditis elegans: a comparison of endpoints.J Biochem Mol Toxicol 19:87–95. [pmid: 15849720]
42. Combes D,Fedon Y,Toutant JP,Arpagaus M. 2001;Acetylcholinesterase genes in the nematode Caenorhabditis elegans.Int Rev Cytol 209:207–239. [pmid: 11580201]
43. Cole RD,Anderson GL,Williams PL. 2004;The nematode Caenorhabditis elegans as a model of organophosphate-induced mammalian neurotoxicity.Toxicol Appl Pharmacol 194:248–256. [pmid: 14761681]
44. Kotsonis FN,Klaassen CD. 1977;Toxicity and distribution of cadmium administered to rats at sublethal doses.Toxicol Appl Pharmacol 41:667–680. [pmid: 918994]
45. Wong KL,Klaassen CD. 1982;Neurotoxic effects of cadmium in young rats.Toxicol Appl Pharmacol 63:330–337. [pmid: 7101297]
46. Bargmann CI. 2001;High-throughput reverse genetics: RNAi screens in Caenorhabditis elegans.Genome Biol 2:REVIEWS1005. [pmid: 11182891]
47. Evanko D. 2006;In praise of manual high-throughput screening.Nat Methods 3:662–663. [pmid: 16967553]

Figures

[Figure ID: pone-0001259-g001]
doi: 10.1371/journal.pone.0001259.g001.
Figure 1  Separation of adult C. elegans from their offspring and corresponding adult feeding.

Extinction (optical density; log10 scale) versus time of flight (length; log10 scale) for (panel A) wild-type and (panel B) eat-2(ad465) nematodes, showing the results of the clustering algorithm to separate either wild-type (blue) or eat-2 (red) adults from larvae (green). In panel C the relationship between fluorescence (accumulated microspheres) versus time of flight for the adult wild-type (blue) and eat-2 (red) nematodes is shown. Each point corresponds to a single nematode.



[Figure ID: pone-0001259-g002]
doi: 10.1371/journal.pone.0001259.g002.
Figure 2  Comparison of wild-type and eat mutant C. elegans feeding.

Boxplots of normalized fluorescence for 19 strains of adult nematodes aggregated over all experiments. Normalization of fluorescence measurements consisted of size-adjustment, square-root transformation, and centering and scaling to the respective day's wild-type measurements. The upper and lower limits of each box give the 25th and 75th percentiles of the data respectively, and the line inside the box gives the median. Whiskers of the boxplot extend to 1.5 times the interquartile range, with extreme measurements indicated by horizontal lines. Sample sizes are given in parentheses above each boxplot.



[Figure ID: pone-0001259-g003]
doi: 10.1371/journal.pone.0001259.g003.
Figure 3  Effects of neuroactive compounds and food availability on wild-type C. elegans feeding.

Size-adjusted fluorescence values for arecoline (left panel) and serotonin (right panel) for one representative experiment in the absence (black) or presence (gray) of bacteria. Each boxplot represents between 250?300 nematodes.



[Figure ID: pone-0001259-g004]
doi: 10.1371/journal.pone.0001259.g004.
Figure 4  Effect of chlorpyrifos and cadmium on C. elegans feeding.

Fitted concentration-response curves of single representative experiments based on observed mean size-adjusted fluorescence measurements as a percent of the control for two toxicants, cadmium (triangles, top axis) and chlorpyrifos (circles, bottom axis). Each point represents approximately 120 nematodes on average, with counts ranging from 104 to 141.



Tables
[TableWrap ID: pone-0001259-t001] doi: 10.1371/journal.pone.0001259.t001.
Table 1  Effects of Eat Mutations on C. elegans Feeding
Eat mutation Feeding Assay Results Previously Published Descriptions
Bootstrap Sampling Results N a Degree of Feeding Reduction b Degree of Eat c Feeding Phenotype d
Mean Std Error 95% CI
N2 0.00 0.02 ?0.04, 0.04 5716 1 Normal
eat-15(ad602) ?0.05 0.05 ?0.14, 0.05 1465 1 Weak-Medium slippery pharynx, abnormal bulb contractions
eat-14(ad573) ?0.10 0.05 ?0.19, 0.00 1471 2 Weak-Medium abnormal grinder functioning
eat-6(ad792) ?0.15 0.06 ?0.26, ?0.04 1039 2,3 Strong relaxation-deficient
egl-4(ad450)e ?0.19 0.06 ?0.30, ?0.08 910 3,4 Weak falls asleep, feeds normally when awake
eat-17(ad707) ?0.21 0.07 ?0.34, ?0.09 884 4 Strong stuffs corpus and isthmus, abnormal contractions
eat-4(ad819) ?0.40 0.05 ?0.49, ?0.31 1569 5 Weak abnormal timing of bulb contractions
eat-16(sa609) ?0.65 0.05 ?0.74, ?0.54 1002 6 Strong slippery pharynx
eat-10(ad606) ?0.66 0.05 ?0.76, ?0.55 1323 6 Strong slippery pharynx
eat-20(nc-4)f ?0.74 0.05 ?0.82, ?0.65 1465 7 Weak-Medium slow pumping, slippery pharynx
egl-19(ad695)g ?0.85 0.05 ?0.95, ?0.75 1085 8 Weak relaxation-deficient
eat-8(ad599) ?0.91 0.06 ?1.04, ?0.78 785 9 Strong brief, rare pumps
eat-6(ad467) ?0.92 0.07 ?1.06, ?0.80 1062 9 Strong relaxation-deficient
eat-13(ad522) ?0.99 0.06 ?1.11, ?0.88 1293 10 Strong slippery pharynx, abnormal bulb contractions
eat-2(ad465) ?1.34 0.07 ?1.47, ?1.21 959 11 Medium-Strong slow, regular pumping
eat-2(ad1113) ?1.36 0.06 ?1.48, ?1.25 1071 11 Medium-Strong slow, regular pumping
eat-2(ad453) ?1.38 0.06 ?1.51, ?1.25 1082 11 Medium-Strong slow, regular pumping
eat-1(ad427) ?1.60 0.06 ?1.72, ?1.49 952 12 Medium-Strong slow, irregular pumping
eat-2(ad1116) ?1.62 0.07 ?1.75, ?1.49 1054 12 Medium-Strong slow, regular pumping

aNumber of nematodes measured

bTukey-Kramer multiple comparison procedure, ??=?0.05; larger numbers indicate greater reductions in feeding

cAvery www.wormbase.org

dAvery[9] except eat-20

eegl-4 previously called eat-7

fFrom Shibata et al. 2000[10]

gegl-19 (ad695) previously called eat-1


[TableWrap ID: pone-0001259-t002] doi: 10.1371/journal.pone.0001259.t002.
Table 2  Estimated EC50s and 95% maximum likelihood confidence intervals based on 3 repetitions of the C. elegans feeding assay.
Chemical EC50 (?M) 95% C.I. * (?M)
Cadmium 262 (226, 299)
324 (251, 396)
260 (209, 312)
Chlorpyrifos 1.0 (0.00, 4.6)
2.2 (0.00, 9.2)
1.4 (0.00, 4.9)

*Standard errors for EC50 values were calculated by fixing other model parameters at their least squares estimates.



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