Literature DB >> 34286017

Measuring Spatiotemporal Dynamics of Odor Gradient for Small Animals by Gas Chromatography.

Akiko Yamazoe-Umemoto1, Yuishi Iwasaki2, Koutarou D Kimura1.   

Abstract

Odor is the most fundamental chemical stimulus that delivers information regarding food, mating partners, enemies, and danger in the surrounding environment. Research on odor response in animals is widespread, although studies on experimental systems in which the gradient of odor concentration is quantitatively measured has been quite limited. Here, we describe a method for measuring a gradient of odor concentration established by volatilization and diffusion in a relatively small enclosed space, which has been used widely in laboratories to analyze small model animals such as the nematode Caenorhabditis elegans and the fruit fly Drosophila melanogaster. We first vaporized known amounts of a liquid odorant 2-nonanone in a tank and subjected them to gas chromatographic analysis to obtain a calibration curve. Then, we aspirated a small amount of gas phase from a small hole on an agar plate and measured the odor concentration. By repeating this at different spatial and temporal points, we were able to detect a gradient of the odor concentration that increased over time. Furthermore, by applying these measured values to mathematical models of volatilization and diffusion, we were able to visualize an estimated dynamic change in odor concentration over an agar plate. Combining monitoring of odor concentration change in an agar plate with behavioral monitoring by machine vision will allow us to estimate how the brain computes information regarding odor concentration change in order to regulate behavior.
Copyright © The Authors; exclusive licensee Bio-protocol LLC.

Entities:  

Keywords:  C. elegans; Diffusion; Evaporation; Gas chromatograph; Gradient; Odorant

Year:  2018        PMID: 34286017      PMCID: PMC8275311          DOI: 10.21769/BioProtoc.2797

Source DB:  PubMed          Journal:  Bio Protoc        ISSN: 2331-8325


  8 in total

1.  Bilateral olfactory sensory input enhances chemotaxis behavior.

Authors:  Matthieu Louis; Thomas Huber; Richard Benton; Thomas P Sakmar; Leslie B Vosshall
Journal:  Nat Neurosci       Date:  2007-12-23       Impact factor: 24.884

2.  Modulation of different behavioral components by neuropeptide and dopamine signalings in non-associative odor learning of Caenorhabditis elegans.

Authors:  Akiko Yamazoe-Umemoto; Kosuke Fujita; Yuichi Iino; Yuishi Iwasaki; Koutarou D Kimura
Journal:  Neurosci Res       Date:  2015-06-08       Impact factor: 3.304

3.  Controlling airborne cues to study small animal navigation.

Authors:  Marc Gershow; Matthew Berck; Dennis Mathew; Linjiao Luo; Elizabeth A Kane; John R Carlson; Aravinthan D T Samuel
Journal:  Nat Methods       Date:  2012-01-15       Impact factor: 28.547

4.  Calcium dynamics regulating the timing of decision-making in C. elegans.

Authors:  Yuki Tanimoto; Akiko Yamazoe-Umemoto; Kosuke Fujita; Yuya Kawazoe; Yosuke Miyanishi; Shuhei J Yamazaki; Xianfeng Fei; Karl Emanuel Busch; Keiko Gengyo-Ando; Junichi Nakai; Yuichi Iino; Yuishi Iwasaki; Koichi Hashimoto; Koutarou D Kimura
Journal:  Elife       Date:  2017-05-23       Impact factor: 8.140

5.  Enhancement of odor avoidance regulated by dopamine signaling in Caenorhabditis elegans.

Authors:  Koutarou D Kimura; Kosuke Fujita; Isao Katsura
Journal:  J Neurosci       Date:  2010-12-01       Impact factor: 6.167

6.  Odorant-selective genes and neurons mediate olfaction in C. elegans.

Authors:  C I Bargmann; E Hartwieg; H R Horvitz
Journal:  Cell       Date:  1993-08-13       Impact factor: 41.582

Review 7.  Neuronal substrates of complex behaviors in C. elegans.

Authors:  Mario de Bono; Andres Villu Maricq
Journal:  Annu Rev Neurosci       Date:  2005       Impact factor: 12.449

8.  Genetic manipulation of genes and cells in the nervous system of the fruit fly.

Authors:  Koen J T Venken; Julie H Simpson; Hugo J Bellen
Journal:  Neuron       Date:  2011-10-20       Impact factor: 17.173

  8 in total

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