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1Departments of Physics and 2Organismic and Evolutionary Biology and 3Center for Brain Science, Harvard University, Cambridge, Massachusetts
Submitted 15 January 2008; accepted in final form 19 March 2008
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ABSTRACT |
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 TOP ABSTRACT INTRODUCTIONMETHODSRESULTSDISCUSSIONGRANTSACKNOWLEDGMENTSREFERENCES |
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INTRODUCTION |
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TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONGRANTSACKNOWLEDGMENTSREFERENCES |
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). The worm's genome encodes as many as 1,000 G-protein-coupled receptor molecules that may serve as chemoreceptors to mediate the perception of a large odor space (Bargmann 1998). In insects and vertebrates, most chemosensory neurons express only one type of chemoreceptor molecule, facilitating the molecular and physiological analysis of the first stages of sensory processing as labeled lines (Hallem et al. 2006; Wilson and Mainen 2006). The worm, however, has only 32 neurons with ciliated endings exposed to the environment, morphological features consistent with chemosensation (Ward et al. 1975). Each worm chemosensory neuron may express several different chemoreceptor genes and a single chemoreceptor gene can be expressed in multiple neurons (Troemel et al. 1995). Many chemosensory neurons are interconnected by synapses, and downstream interneurons may integrate synaptic inputs from multiple chemosensory neurons (de Bono and Maricq 2005; Hobert 2003). Thus the worm is equipped with a sophisticated system for processing chemosensory input in a compact neural circuit, enabling it to meet the challenges of navigating chemical gradients in its natural environment, an inherently large behavioral task. As any animal moves toward or away from a chemical source, it must employ mechanisms for adapting to the local chemical concentration as well as mechanisms for calculating the direction of chemical gradients. To travel great distances toward chemical sources, an olfactory system must maintain sensitivity over a wide range of chemical concentrations, possibly spanning several orders of magnitude.
In classical chemotactic behavioral assays, a point source of a particular chemical is placed in the animal's environment, and aggregation at that source is quantified after some period of time. In this way, crawling C. elegans was discovered to aggregate near point sources of various soluble chemical attractants (Ward 1973). C. elegans performs chemotaxis toward or away from point sources of a variety of volatile organic molecules (Bargmann et al. 1993). A particular difficulty in using volatile odorants in aggregation assays is that the chemical gradients are difficult to characterize. Over the course of each experiment, odorant molecules are continuously evaporating from the source, moving in turbulent plumes, and diffusing back into the agar surface at all locations. Moreover, because each worm in each experiment takes its own trajectory, each worm has a unique olfactory experience in each experiment. Whereas successful aggregation at the source may indicate the proper workings of the entire chemosensory system, different problems with the chemosensory, decision-making, or motor systems can hinder aggregation, making it difficult to use classical behavioral assays to discriminate the roles of molecules and cells in chemotactic performance.
Important technical developments have occurred in analyzing worm chemotactic behavior. By tracking the movements of individual worms during chemotaxis in salt gradients, Pierce-Shimomura et al. showed that worms utilize a biased random walk strategy, alternating periods of forward movement (runs) and reorientation maneuvers (turns and pirouettes), extending runs that are pointed up chemical gradients and shortening runs that are pointed down chemical gradients (Pierce-Shimomura et al. 1999). Miller et al. showed that freely crawling worms respond to temporal variations in chemosensory input by monitoring the behavior of animals as they moved on substrates that were subjected to stepwise changes in chemical concentration, showing that approach and avoidance motile responses were evoked by increases and decreases in attractant concentration, respectively (Miller et al. 2005). Dusenbery and Faumont et al. invented "tethered worm" assays by holding individual worms by their heads or tails, quantifying forward and reverse movements during the delivery of chemical flows, also suggesting that worms respond to purely temporal changes in the concentration of ambient chemicals (Dusenbery 1980; Faumont et al. 2005). Chronis et al. recently invented microfluidic devices to simultaneously restrain individual worms and deliver chemical flows (Chronis et al. 2007). The advantage of tethered worm assays or microfluidic behavioral assays is that they allow extended observation of individual worms as the chemical environment is changed at will.
We have used a single-worm microdroplet assay to probe thermosensory behavior, putting individual worms in small microdroplets within an experimental chamber, monitoring their swimming movements using video microscopy, and detecting the rate of occurrence of reorientation maneuvers (Chung et al. 2006; Clark et al. 2007; Ryu and Samuel 2002). An advantage of the microdroplet assay is that worms swim freely within each microdroplet (a shortcoming of using tethers or microfluidic devices is that the worms might directly sense and respond to partial immobilization). Because worms never leave the field of view in the microdroplet assay, the behavior of each unrestrained animal can be recorded over an extended period of time. Because a grid of microdroplets can be used, a large number of worms can be simultaneously monitored as they respond to the same sensory input.
Here we show that the microdroplet assay can be used to quantify the behavior of C. elegans in response to olfactory inputs, delivered in airstreams carrying defined vapor concentrations of specific odorants. We use the microdroplet assay to quantify patterns in wild-type olfactory behavior as well as quantify the effects of mutations or cellular ablation of individual olfactory neurons.
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METHODS |
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TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONGRANTSACKNOWLEDGMENTSREFERENCES |
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C. elegans strains were cultivated at 20°C following standard procedures. The wild-type N2 and mutant strain CX4 odr-7(ky4)X were obtained from Piali Sengupta (Brandeis University, Waltham, MA). The mutant strain CX5893 ceh-36(ky646)X and the CX3831 transgenic strain expressing the toxic gain-of-function degenerin gene mec-4(d) as well as GFP in the AWB neuron were obtained from Cori Bargmann (Rockefeller University, New York, NY). For AWA laser killing, we used a transgenic strain expressing green fluorescent protein (GFP) under the control of the odr-10 promoter, obtained from Piali Sengupta. For AWC laser killing, we used a transgenic strain expressing GFP under control of the odr-1 promoter. For AWB laser killing, we used a transgenic strain expressing GFP under control of the str-1 promoter.
Laser ablation
Laser ablation of individual neurons was carried out using standard procedures (Bargmann and Avery 1995) except that a cavity-dumped Ti:sapphire femtosecond laser (KMLabs, Boulder, CO) was used to deliver the laser pulses instead of the more commonly used nanosecond pulsed dye laser (Chung et al. 2006). Neurons were killed in larvae anesthetized with sodium azide. The behavior of surgically operated worms was tested at the young adult stage. Destruction of the targeted neuron was double-checked by microscopy after behavioral assays.
Behavioral assay
We monitored the movements of individual worms swimming inside droplets of NGM buffer inside an experimental chamber that allowed computer-controlled olfactory stimulation (Fig. 1A). A computer captured images of the swimming worm at a rate of 10 Hz with a CCD camera. Video was analyzed by a computer algorithm that detects reorientation maneuvers on the basis of body extension (Chung et al. 2006; Clark et al. 2007). During forward swimming, the end-to-end distance of the worm oscillates around large values. During turns, the end-to-end distance drops sharply and briefly. The algorithm measured body extension in each video frame and flagged each dip in body extension below a threshold set to 
60% of maximum extension, thus differentiating sudden deep bends and turns from periods of forward swimming.
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. The final vapor concentration was measured with a flame ionization detector (MicroFID, Photovac, Waltham, MA), and found to be nearly proportional to the dilution ratio D of either benzaldehyde or isoamyl alcohol. To obtain the approximate vapor concentration in ppm, multiply D by 70,000 for isoamyl alcohol, and 6,000 for benzaldehyde (for example, when D = 10–4, the vapor concentration of isoamyl alcohol is 7 ppm, the vapor concentration of benzaldehyde is 0.6 ppm). Each trial lasted no more than 12 min, after which we replaced the mineral oil in each flask, replaced the tubing (Tygon tubing with chemically inert Teflon liner, VWR, West Chester. PA), and cleaned the experimental chamber by rinsing with EtOH and dH2O and placing it in a vacuum bell jar to remove all volatiles. We found that trials >12 min could lead to measurable odorant depletion and reductions in odorant concentration as measured using the flame-ionization detector. Within each 12-min trial, there was negligible variation in behavioral response between cycles of odorant inflow and outflow. |
RESULTS |
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TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONGRANTSACKNOWLEDGMENTSREFERENCES |
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C. elegans motility may be characterized as a random walk with successive periods of forward movement (runs) that are punctuated by the stochastic occurrence of reorientation maneuvers (turns and reversals) (Pierce-Shimomura et al. 1999; Ryu and Samuel 2002). During chemotaxis and thermotaxis, temporal variations in sensory inputs are transformed into variations in the stochastic rate of reorientation maneuvers, evoking (/suppressing) reorientation maneuvers when worms happen to be crawling toward worsening (/improving) conditions, allowing worms to migrate toward better environments over time. The sensorimotor behaviors of swimming worms may be summarized in terms of reorientation rate, and quantified using a computer algorithm that automatically measures the body extension of individual worms within video frames (Chung et al. 2006; Clark et al. 2007).
First we asked whether our swimming assay reproduces the basic sensorimotor patterns that characterize crawling behavior. We subjected swimming worms to the addition and removal of airborne isoamyl alcohol (an attractant in crawling assays) provided in cycles of alternating streams of odorized air and clean air. Swimming worms responded to the inflow (/outflow) of airborne isoamyl alcohol by lowering (/raising) their turning rate. The variations in turning rate evoked by stepwise changes in the airstream are monophasic, reaching peak values at 15–20 s following step changes before gradual adaptation to prestimulus turning rates (Fig. 1B). Thus the chemotactic response to isoamyl alcohol is bidirectional and exhibits short-term adaptation, making the worm sensitive to temporal gradients in olfactory inputs, and would allow crawling worms to bias their random walks up (/down) spatial gradients of attractive odor by shortening (/lengthening) each run.
In earlier experiments on thermotactic behavior, we quantified the turning response of worms to sudden temperature steps but found that the transient increase (/decrease) in turning rate evoked by upsteps (/downsteps) in temperature reach their peak values at 5 s following the stimuli (Clark et al. 2007). The difference in response times between olfactory and thermosensory inputs is likely to reflect slowness in delivering the odorant stimulus not necessarily slowness in olfactory sensory transduction. In our thermotaxis experiments, we directly heated the droplets with controlled exposure to infrared laser irradiation. In these experiments, although the inflow and outflow of the odorant airstreams are provided in a stepwise manner, the odorant molecules themselves must diffuse into and out of the microdroplets. Our microdroplets are 0.1 mm in depth, and small molecules in water have diffusion coefficients of 10–3 mm2 s–1, so the odorant concentration within the microdroplet requires 10 s to equilibrate with the odorant concentration in the airstream, which coincides with the slowing of the response to stepwise changes of odorized and clean airstreams.
Attractive odors at low concentrations are repellants at high concentrations
In our setup, we used a flame-ionization detector to verify that the absolute vapor concentration of odorant molecules in the odorized airstreams is roughly proportional to the concentration of dissolved odorant in the mineral oil used to scent the airstreams (see METHODS). We focused our investigation on isoamyl alcohol (IA) and benzaldehyde (BZ), attractive odorants that were shown to be sensed by the AWC olfactory neurons through laser killing and behavioral analysis (Bargmann et al. 1993). We subjected worms to alternating airstreams of odorized air and nonodorized air in 30-s intervals, an interval chosen to capture the behavioral response to odor removal and addition prior to short-term adaptation within each cycle (Fig. 1B). To quantify the olfactory response, we use an olfactory index based on the contrast in mean turning frequency during the 30-s inflow (fin) and 30-s outflow (fout) phases of the stimulus waveform
 | (1) |
Thus when the index is positive, the worm tends to turn more (/less) frequently when the odor is removed (/added). When the index is zero, the worm is indifferent to odor removal or addition. When the index is negative, the worm tends to turn more (/less) frequently when the odor is added (/removed).
We found that at the lowest vapor concentrations of IA or BZ, just above the threshold of detection, inflow (/outflow) of each airborne odor lowered (/raised) the turning rate (Fig. 2). We interpret this behavioral pattern as an attractive response to each odorant because inflow (/outflow) would lengthen (/shorten) the runs of crawling worms. The attractive response to each odorant has a relatively constant strength over a range of vapor concentration spanning three to four orders of magnitude above the threshold of detection. However, above a second and sharper threshold at high vapor concentration, IA and BZ become repellants, as inflow (/outflow) of either odorant raised (/lowered) the turning rate. Thus whether any odorant is perceived as attractive, neutral, or repulsive depends on the type and amount of odorant. This observation is consistent with the original discovery using crawling assays that odorants can be attractive when spotted in small amounts in petri plates but less attractive or repulsive when spotted in large amounts (Bargmann et al. 1993).
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Of the 11 pairs of amphid chemosensory neurons, the AWA, AWB, and AWC neuronal pairs are specialized for detecting volatile odorants (Bargmann et al. 1993; Sengupta 2007). Laser killing of AWA, AWB, and AWC has been shown to weaken chemotactic responses in crawling assays toward point sources of a variety of odorants. So far, only AWC has been implicated in the detection of IA and BZ. As another test of the microdroplet assay, we sought to determine whether genetic disruption or laser killing of AWA, AWB, and AWC would reveal their predicted contributions in mediating the responses to IA or BZ.
The Otx-like homeodomain transcription factor ceh-36 is required for specifying the identities of the AWC and ASE amphid chemosensory neurons, and mutation in ceh-36 abolishes chemotaxis toward point sources of AWC-sensed volatile odorants in crawling assays (Lanjuin et al. 2003). ASE detects a variety of salts and small soluble molecules and has not been implicated in the detection of volatile odorants. We quantified the response of ceh-36(ky646) mutant worms across the full range of wild-type sensitivity to IA and BZ. We found that the ceh-36(ky646) mutation nearly abolished the detection of IA and BZ over the range of concentrations that IA and BZ are ordinarily perceived as attractants but did not affect the repellant responses at the highest concentration (Fig. 2, B–D). We confirmed that laser killing the AWC neurons nearly abolished the attractant response to BZ at a low vapor concentration but did not affect the repellant response to BZ at the highest concentration (Fig. 3B). Interestingly, laser killing the AWC neurons did not eliminate the attractant response to IA at a low vapor concentration nor did it affect the repellant response at the highest concentration (Fig. 3A). It is likely that the effects of the ceh-36(ky646) mutation on the olfactory sensory periphery are broader than laser ablation of AWC, so perhaps IA can be detected by another neuron besides AWC at low vapor concentrations, which may compensate for IA detection after AWC removal. Taken together, our results suggest that the worm's attractant response to IA or BZ is largely or entirely mediated by AWC at low concentrations, which is consistent with the results of original laser ablation experiments utilized with point-source aggregation assays (Bargmann et al. 1993). However, the repellant responses at the highest concentrations of either chemical appears to be entirely mediated by another neuron.
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, 1996). The odr-7 gene encodes a nuclear receptor that is specifically required for function of the AWA neurons. As expected, we found that mutation in odr-7 did not have significant effects on the attractant or repellant responses to IA or BZ across the normal range of sensitivity (Fig. 2, B–D). These experiments suggest that AWA alone is not responsible for the attractant or repellant responses to IA or BZ.
The AWB neuron has been implicated in the detection of repulsive odorants such as 2-nonanone (Troemel et al. 1997). To test the contribution of the AWB neurons to the detection of IA and BZ, we analyzed the behavioral response of worms without the AWB neurons. For this, we used CX3831 transgenic worms that express the cell killing degenerin MEC-4D specifically in AWB (Driscoll and Chalfie 1991; Troemel et al. 1997). We also used transgenic worms that express GFP in the AWB neurons, allowing us to identify the neurons for laser ablation at the larval stage. We found that the AWB-degenerin-killed (Fig. 2, C and D) or AWB-laser-killed worms (Fig. 3) exhibited nearly normal attractant responses to IA and BZ at lower concentrations. The repellant response to BZ at high concentrations is significantly weakened by AWB-laser killing (Fig. 3B) but not significantly affected by AWB-degenerin killing (Fig. 2C). The repellant response to IA at high concentrations is eliminated by AWB-degenerin killing (Fig. 2D) but only slightly weakened by AWB-laser killing (Fig. 3A). It is unclear why AWB-degenerin and AWB-laser killings produce different results. One possibility is that the rest of the nervous system adapts differently to the loss of a specific neuron depending on how that neuron was removed. Nevertheless, taken together, these results suggest that AWB does not affect the attractant response to IA or BZ at low concentrations, but AWB partly contributes to the repellant response at the highest concentrations.
Olfactory response to steepness in odorant gradients
In many experimental setups to test physiological responses to olfactory cues, odorants are provided in discrete packets of odorized air. All-or-none presentation of olfactory inputs may be relevant to animals that live at high Reynolds numbers, a physical quantity that describes the relative importance of inertial forces and viscous forces in the animal's environment. For larger animals that live at high Reynolds numbers, turbulence moves packets of airborne odors from an emitting object to the animal's nose (Hopfield 1991). At high Reynolds numbers, simple diffusion does not significantly contribute to the dispersion of odorants, allowing sharp boundaries in the presence or absence of odorant molecules in olfactory experience. The millimeter-sized C. elegans, however, lives at Reynolds numbers near one or lower, where smooth chemical gradients are undisrupted by turbulence (Purcell 1977). Thus the chemosensory system of C. elegans should be able to encode the direction and steepness of smooth chemical gradients.
In our setup, we can manipulate the steepness of odorant gradients by alternating odorized airstreams carrying different odorant concentrations. In this way, the difference of the odorant concentrations in the two airstreams (
D) defines the steepness of temporal gradients in the olfactory input. In most biological sensory systems, the perceived intensity of a stimulus input depends directly on fractional changes in the physical magnitude of the stimulus. The well-known Weber-Fechner Law states that perceived changes in stimulus intensity are proportional to the fractional change in the size of the physical stimulus. We assume that changes in turning behavior caused by alternation of airstreams, which we quantify using an olfactory index, reflect changes in perception. We quantified the size of the turning response of swimming worms subjected to fractional changes in odorant concentrations (D/D), near concentrations of IA and BZ at which, based on genetic disruption and laser ablation analysis, we knew that the AWC olfactory neurons were principally responsible for mediating the attractant response. We found that the strength of the olfactory response quantified using our olfactory index (Eq. 1) was roughly proportional to the fractional change in odorant concentration, reminiscent of the Weber-Fechner Law (Fig. 4). Our results suggest that AWC does not only serve to detect the presence or absence of odorant molecules at different concentrations, but that AWC is also capable of graded responses, allowing the worm to respond to the steepness of odorant gradients.
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Because individual neurons sense multiple odors, it is interesting to know how worms respond to combinations of odors that are sensed by the same neuron. Colbert and Bargmann discovered a form of habituation: long-term exposure to AWC-sensed odors reduces the worm's ability to aggregate near those odors in crawling assays (Colbert and Bargmann 1995). Cross-habituation can occur between certain AWC-sensed odors but not between other AWC-sensed odors, suggesting that AWC has multiple sensory transduction pathways for sensing distinct groups of odors. Cross-habituation has been shown to occur for IA and BZ; that is, long-term exposure to IA reduces chemotaxis toward BZ and vice versa.
The microdroplet assay provides a straightforward way to quantify the response of unhabituated worms to combinations of AWC-sensed odors. In this study, we subjected worms to alternating airstreams, one airstream containing both IA and BZ, each at odorant concentrations that AWC mediates an attractant response; the other airstream containing only IA or only BZ at the same concentration. Thus worms were subjected to the same change in each odorant as when we alternated an airstream odorized with a single odorant and a clean airstream, but now the worms were subjected to the change in each odorant in an invariant background of the other odorant. We found that the background of IA (/BZ) diminishes the worm's olfactory response to the addition and removal of BZ (/IA; Fig. 5). The simplest interpretation is that the AWC neuron detects the summed amounts of IA and BZ and responds to changes in the sum. Roughly speaking, when the IA-odorized airstream is alternated with a clean airstream, the percent change in AWC detection is 100%, eliciting a strong olfactory index, but when the IA+BZ-odorized airstream is alternated with an IA-odorized airstream, the percent change in AWC detection is 50%, eliciting a weaker olfactory index.
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DISCUSSION |
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TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONGRANTSACKNOWLEDGMENTSREFERENCES |
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).
Technological developments are also occurring in the quantitative analysis of chemosensory behavior. Ward et al. originally used aggregation at a point source to quantify chemotaxis toward or away from soluble chemicals (Ward 1973). In the original work on olfactory behavior, Bargmann et al. used point sources of volatile odorants to quantify olfactory detection, attraction, and repulsion to specific molecules (Bargmann et al. 1993). Recently Chalasani et al. showed that flowing odorized airstreams of volatile odorants into and out of a petri plate can alter the turning rate of a population of crawling worms, but this assay did not allow extended observation of single worms (Chalasani et al. 2007). Chronis et al. showed that the behavior of individual worms can be quantified within microfluidic devices, as the animal attempts to crawl forward or backward inside narrow chambers when subjected to defined chemical flows, but it is possible that worm behavior is affected by the partial immobilization itself (Chronis et al. 2007).
The microdroplet assay for swimming worms has certain advantages that should complement other assays for olfactory behavior. First, the microdroplet assay allows us to more rapidly extract quantitative information about olfactory phenotypes than with traditional crawling assays. Instead of scoring success or failure to aggregate near an odorant source after 30–60 min in a crawling assay, we quantify the turning rate over time, allowing us to measure the temporal dynamics of the sensorimotor response. Second, all of the worms in the array of microdroplets within each experiment have the same olfactory experience, increasing the robustness of comparative analysis between different types of worms, and each worm is unrestrained, avoiding possible artifacts due to tethers or partial immobilization. Third, arrays of microdroplets confer high-throughput while maintaining single-worm resolution, which is a particular advantage when performing laser ablation analysis on small numbers of surgically operated worms. Finally, the microdroplet assay provides great flexibility in defining the stimulus, allowing us to systematically vary the type and concentration of each odorant, the steepness of odorant gradients, and mixtures of multiple odorants.
In this study, we validated the microdroplet assay by showing that olfactory phenotypes using AWC-sensed odorants are largely consistent with previous results obtained using crawling assays. Without AWC neurons, crawling worms are unable to aggregate near point sources of IA or BZ. In the microdroplet assay, worms without AWC are unable to exhibit an attractant response to IA or BZ at any concentration, but the microdroplet also uncovered a repellant response to IA or BZ at very high concentrations. These data suggest that IA and BZ may be detected exclusively by AWC within a range of very low odorant concentrations. In general, the response of a particular olfactory cell should span a range of odorant concentrations near the dissociation constant between its molecular olfactory receptors and the odorant ligand. One possibility is that AWC has several chemoreceptors for IA and BZ, spanning a broad range of dissociation constants, allowing the detection of several orders of magnitude of odorant concentration. We also showed that the worm responds to fractional changes in odorant concentration, which would be vital to the navigation of smooth spatial gradients of odorant concentrations in its environment. Finally, we showed that at high concentrations, a repellant response is mediated by another set of neurons (possible including AWB) that must have chemoreceptors for IA and BZ with, presumably, a very high dissociation constant.
Finally, the time course of the behavioral response to step changes in odorant concentration shown in Fig. 1B reveals the behaviorally relevant computation for navigating smooth gradients in the animal's environment. A stepwise increase (/decrease) in attractant concentration produces a transient decrease (/increase) of turning rate. Taking stimulus input as attractant concentration and motor output as turning rate and viewing the mathematical transformation between input and output, the output resembles the first time derivative of the input averaged over a time interval corresponding to the total duration of the step response. A crawling worm in chemical gradients exhibits a biased random walk with average periods of forward movement lasting 20–30 s. Thus the behaviorally relevant computation to optimally execute the worm's biased random walk strategy is the first-time derivative of chemical concentration averaged over the duration of each period of forward movement. As we have previously argued for our step response measurements in relation to the biased random walk behavior of C. elegans thermotaxis, and as Block et al. argued for their impulse and step response measurements in relation to the biased random walk behavior of Escherichia coli chemotaxis, the mechanisms underlying the worm's olfactory response are matched to the behavioral task that the worm is required to perform (Block et al. 1982; Clark et al. 2007).
In summary, the microdroplet assay allows us to quantify the sensorimotor response of individual worms to well-defined olfactory inputs across a broad range of parameter space, presenting a new tool for rigorous investigation of the compact and sophisticated olfactory system of C. elegans.
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ACKNOWLEDGMENTS |
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FOOTNOTES |
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Address for reprint requests and other correspondence: A.D.T. Samuel, 17 Oxford St., Cambridge, MA 02138 (E-mail: samuel{at}physics.harvard.edu)
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REFERENCES |
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. The exponential time constants for adaptation to odor removal and addition (that is, the longer of 
1 and 
20 worms, each subjected to 12 cycles) were used to calculate each olfactory index at each odorant dilution. Each data point and error bar represents the mean olfactory index ±1 SE.
