Experiences in CDT testing.
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P C Daniel
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Responses of olfactory receptor neurons in the spiny lobster to binary mixtures are predictable using a noncompetitive model that incorporates excitatory and inhibitory transduction pathways.
Coding of binary mixtures by a population of olfactory receptor neurons in the spiny lobster (Panulirus argus) was examined. Extracellular single-unit responses of 50 neurons to seven compounds and their binary mixtures were recorded. The ability of a noncompetitive model with correction for binding inhibition to predict responses to mixtures based on responses to their components was compared with the predictive abilities of other models. This model assumes that different compounds activate different transduction processes in the same neuron leading to excitation or inhibition, and it includes a term quantifying the degree to which binding of an odorant to its receptor sites is inhibited by other compounds. The model accurately predicted the absolute response magnitude of the population of neurons for 13 of 15 mixtures assessed, which is superior to the predictive power of any of the other models. The model also accurately predicted the across neuron patterns generated by the binary mixtures, as evaluated by multidimensional scaling analysis. The results suggest that there is no emergence of unique qualities for binary mixtures relative to components of these mixtures.
Animals↗
Non-reciprocal cross-adaptation of spiking responses of individual olfactory receptor neurons of spiny lobsters: evidence for two excitatory transduction pathways.
Single-unit spiking responses of 72 olfactory receptor neurons (ORNs) in the olfactory organ of the spiny lobster Panulirus argus were recorded extracellularly during presentation of a set of seven odorant stimuli (adenosine-5'-monophosphate, ammonium chloride, betaine, L-cysteine, L-glutamate, D,L-succinate and taurine) and analyzed in order to evaluate the response specificities of single ORNs and the independence of receptor sites. Individual ORNs often had narrow excitatory response spectra, but the most excitatory compound was different from neuron to neuron. These results suggest that these compounds can exert most of their excitatory effects through relatively independent receptor site types. To determine the relative independence of excitatory transduction processes in single ORNs for these stimuli, single-unit spiking responses of these neurons under conditions of self- and cross-adaptation were analyzed. The results demonstrate extensive cross-adaptation between pairs of the seven stimuli. When averaged across all neurons and all cross-adaptation conditions, cross-adaptation resulted in a mean reduction of 81% of the unadapted response. However, there were differences in the degree and pattern of adaptation for different pairs of compounds and for different neuron types (defined by most excitatory or 'best' chemical). For a given neuron type, there were significant levels of non-reciprocal cross-adaptation: neurons cross-adapted more when adapted to their best chemical than when adapted to their non-best chemicals. These results suggest the existence of two excitatory transduction pathways within an olfactory receptor neuron: one pathway activated exclusively by the best chemical and a second pathway activated by a broader spectrum of chemicals.
Acclimatization↗
Chemosensory responses to mixtures: a model based on composition of receptor cell types.
Previous mixture models have assumed that members of a population of chemoreceptor cells are homogeneous in type, i.e., with either single shared or multiple independent receptor sites. In reality, many chemosensory systems actually consist of a heterogeneous population of receptor cells, consisting of both highly specific cells as well as more broadly and variably tuned cells. A mixed receptor composition model for binary mixtures is described which can be applied to chemosensory systems with heterogeneous receptor cell compositions. The model incorporates information on a) the number of receptor sites/transduction processes per cell, b) the specificity of receptor cells, and c) the contribution of the magnitude of response of each receptor cell to the overall response magnitude of the population of all receptor cells. The predictions of this model can be compared to behavioral responses of animals towards binary mixtures, or at any level of sensory processing which involves the input of the receptor cell population, in order to detect possible mixture interactions.
Animals↗
Mixture suppression in behavior: the antennular flick response in the spiny lobster towards binary odorant mixtures.
The behavioral responses of Florida spiny lobsters towards various concentrations of binary mixtures and their constituents (AMP, betaine, cysteine, succinate, and taurine) were measured using an antennular flicking assay. The rate of flicking increases with dose and has low thresholds: flick rates towards each of the five chemicals increased with concentration with thresholds between 1 nM and 100 microM. A mixed receptor composition model, which incorporates knowledge of the composition of receptor site types and their distribution across receptor cells (15), was used to predict responses to binary mixtures based on responses to the individual constituents. Nine of the ten binary mixtures elicited response magnitudes which were less than predicted by this model, suggesting mixture suppression. These mixture interactions appear to be independent of the concentration of the mixture tested; rather, they occur with the same magnitude at all concentrations. These behavioral results corroborate findings in olfactory receptor cell studies which indicate the significant prevalence of mixture suppression towards some of the same binary mixtures (19,20).
Animals↗
Responses of olfactory receptor cells of spiny lobsters to binary mixtures. I. Intensity mixture interactions.
1. Neural coding of chemical mixtures was studied with the use of the peripheral olfactory system of the spiny lobster. The occurrence of mixture interactions (i.e., where the observed response to a mixture deviates significantly from the expected response) in individual cells and the effect of such mixture interactions on the coding of odorant intensity by populations of cells were examined. 2. Extracellular recordings of spiking activity of 98 primary olfactory receptor cells in the antennules were measured in response to seven compounds [adenosine-5'-monophosphate (AMP), betaine (Bet), L-cysteine (Cys), L-glutamate (Glu), ammonium chloride (NH4), DL-succinate (Suc), and taurine (Tau)] and their binary mixtures. To identify mixture interactions, observed responses to a range of concentrations of a binary mixture were compared with the predicted responses based on three mathematical models: a single receptor model, which assumes that the two compounds of a mixture bind to the same receptor site; a multiple receptor model, which assumes that the two compounds bind to two independent receptor sites; and a mixed composition receptor model, which incorporates our current state of knowledge of transduction processes in olfactory receptor cells of spiny lobsters. 3. Mixture interactions in individual cells were common: statistically significant mixture interactions were observed in 25% of the possible cases (Fig. 5). Suppression was much more common than enhancement. 4. Mixture interactions had significant effects on the absolute response magnitudes for a population of cells, which could be used as the neural code for stimulus intensity in this system. These effects are called intensity mixture interactions (Figs. 6-11). Intensity mixture interactions occurred for approximately 50% of the binary mixtures and were almost exclusively suppression (Figs. 12 and 13). The intensity mixture interactions were concentration independent. 5. The results suggest that mixture interactions in individual olfactory cells can result in intensity mixture interactions in the neuronal population such that there is a decrease in sensitivity to binary mixtures relative to what is expected based on the responses to individual components of the mixtures.
Animals↗
Responses of olfactory receptor cells of spiny lobsters to binary mixtures. II. Pattern mixture interactions.
1. The effect of mixture interactions in individual olfactory receptor cells of the spiny lobster on neural coding of odorant quality of binary mixtures and their components is examined in this paper. Extracellular responses of 98 olfactory receptor cells in the antennules of spiny lobsters to seven compounds [adenosine-5'-monophosphate (AMP), betaine (Bet), L-cysteine (Cys), L-glutamate (Glu), ammonium chloride (NH4), DL-succinate (Suc), taurine (Tau)] and their binary mixtures were recorded, and mixture interactions in individual olfactory receptor cells were identified. 2. Coding of odorant quality was evaluated by examining across neuron patterns (ANPs)--the relative response magnitudes across neuronal populations. ANPs are a feature of the neuronal population response and are a possible concentration-independent code of odorant quality in this system, as indicated by previous studies and present results. 3. For most binary mixtures the diversity of types and degrees of mixture interactions across the individual cells of a population of cells resulted in ANPs for each mixture to be different from the ANPs for the components of the mixture and different from the ANP predicted for the mixture from the responses to the components (Figs. 2-10). These effects are called pattern mixture interactions (PMIs). PMIs occurred for most binary mixtures, even those that did not produce statistically significant intensity mixture interactions (IMIs) for this same population of cells. 4. The results suggest that PMIs can influence coding of stimulus quality, in some cases by causing an improvement of the contrast between the quality of mixtures and some of their components.
Animals↗
Differential associative conditioning and olfactory discrimination in the spiny lobster Panulirus argus.
A differential aversive associative conditioning paradigm was used to assess the ability of the spiny lobster Panulirus argus both to associatively learn not to respond to the odorant stimulus to which it was conditioned and to discriminate between odorants. The paradigm consisted of pairing an aversive stimulus (pseudopredator) with a conditioned chemical stimulus (shrimp mixture). Four artificial mixtures (crab, mullet, oyster, and shrimp), each at 0.05 and 0.5 mM, were presented to the animals prior to, during, and following conditioning to both concentrations of the shrimp mixture. Pre- vs postconditioning changes in three types of behavioral responses (and an index based on a composite of these three behaviors) were used as indicators of learned aversions. Olfactory discrimination abilities were determined by comparing the aversion to the conditioned mixture with the aversions to the three nonconditioned mixtures. A high degree of associative learning was attained after 10 pairings of the pseudopredator with the shrimp mixture over a period of 5 test days. According to the aversion index, animals conditioned to shrimp mixture perceived crab mixture as being more similar to shrimp mixture than were mullet and oyster mixtures, but all three nonconditioned mixtures were perceived as being significantly different from the shrimp mixture. These results are in concordance with results of a cluster analysis based on the mixture compositions, which indicates that shrimp and crab mixtures are compositionally similar, while mullet and oyster mixtures are compositionally distinct from the shrimp mixture.
Animals↗