Literature DB >> 11023851

The behavioral detection of binary mixtures of amino acids and their individual components by catfish.

T Valentincic1, J Kralj, M Stenovec, A Koce, J Caprio.   

Abstract

The question of whether a binary mixture of amino acids is detected by fish as a unique odor or whether the qualities of the individual components are retained within the mixture was investigated in channel (Ictalurus punctatus) and brown bullhead (Ameiurus nebulosus) catfish, species that are highly similar in their olfactory receptor and behavioral responses to amino acid odorants. Catfish respond with greater appetitive food-searching (swimming) behavior to amino-acid-conditioned olfactory stimuli than to non-conditioned amino acids. In the present study, appetitive food-searching behavior was measured by counting the number of turns of the fish greater than 90 degrees within 90 s of stimulus onset and, in some tests, by video tracking. The two methods yielded highly correlated results. Channel catfish conditioned to a binary mixture composed of equimolar amino acids responded with searching behavior to the amino acid that produced the larger-amplitude electro-olfactogram (EOG) response as they did to the conditioned stimulus. In further studies, bullhead catfish were conditioned either to a binary mixture or to a single amino acid and tested to determine whether a binary mixture was detected as the component evoking the larger EOG response. In all initial tests (trials 1-3), the more stimulatory component of a binary mixture was not discriminated from the binary mixture; however, the less stimulatory component and all other amino acids tested were discriminated from the mixture. By increasing the concentration of the originally less potent component in a binary mixture, making it the more stimulatory compound, it was now detected as not significantly different from the binary mixture; however, the original more potent component (i.e. now the less potent stimulus) was detected as significantly different from the mixture. However, with 5-10 additional discrimination training trials, the less stimulatory component in a binary mixture influenced the perception of the binary mixture because the binary mixture was no longer detected only as its more stimulatory component. The data suggest that a two-step learning process occurs within the olfactory bulb and possibly higher-order telencephalic nuclei.

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Year:  2000        PMID: 11023851     DOI: 10.1242/jeb.203.21.3307

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  14 in total

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Journal:  J Neurosci       Date:  2004-07-21       Impact factor: 6.167

2.  Olfactory pattern classification by discrete neuronal network states.

Authors:  Jörn Niessing; Rainer W Friedrich
Journal:  Nature       Date:  2010-04-14       Impact factor: 49.962

Review 3.  Neural processing, perception, and behavioral responses to natural chemical stimuli by fish and crustaceans.

Authors:  Charles D Derby; Peter W Sorensen
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Review 4.  Properties, projections, and tuning of teleost olfactory receptor neurons.

Authors:  Alejandra Bazáes; Jesús Olivares; Oliver Schmachtenberg
Journal:  J Chem Ecol       Date:  2013-03-07       Impact factor: 2.626

5.  Neonatal representation of odour objects: distinct memories of the whole and its parts.

Authors:  Gérard Coureaud; Thierry Thomas-Danguin; Donald A Wilson; Guillaume Ferreira
Journal:  Proc Biol Sci       Date:  2014-08-22       Impact factor: 5.349

6.  The Chemical Sensitivity and Electrical Activity of Individual Olfactory Sensory Neurons to a Range of Sex Pheromones and Food Odors in the Goldfish.

Authors:  Koji Sato; Peter W Sorensen
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7.  Biological constraints on configural odour mixture perception.

Authors:  Gérard Coureaud; Thierry Thomas-Danguin; Jean-Christophe Sandoz; Donald A Wilson
Journal:  J Exp Biol       Date:  2022-03-14       Impact factor: 3.312

8.  Specificities of olfactory receptor neuron responses to amino acids in the black bullhead catfish (Ameiurus melas).

Authors:  Jurij Dolensek; Tine Valentincic
Journal:  Pflugers Arch       Date:  2009-09-13       Impact factor: 3.657

9.  Amino acid- vs. peptide-odorants: responses of individual olfactory receptor neurons in an aquatic species.

Authors:  Thomas Hassenklöver; Lars P Pallesen; Detlev Schild; Ivan Manzini
Journal:  PLoS One       Date:  2012-12-27       Impact factor: 3.240

10.  Rapid odor processing in the honeybee antennal lobe network.

Authors:  Sabine Krofczik; Randolf Menzel; Martin P Nawrot
Journal:  Front Comput Neurosci       Date:  2009-01-15       Impact factor: 2.380

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