BACKGROUND The nematodeCaenorhabditis elegans is an emerging invertebrate animal model for investigating neuronal functions in behavioral assays. C. elegans mechanosensation was characterized by the use of a constant mechanical stimulation transmitter followed by quantitative imaging. NEW METHOD C. elegans reflex and habituation behaviors were characterized by mechanical vibration followed by image analysis. A custom-designed system consists of an aluminum alloy Petri dish holder frame coupled with a mechanical vibration buzzer delivering adjustable pulsed vibration to an agar plate. The basal and evoked movements of C. elegans were recorded by a microscopic digital camera followed by quantitative analysis using microscopic imaging software. RESULTS Application of the platform inC. elegans was demonstrated with three proof-of-concept experiments: (1) Evaluation of the reflex response stimulated by tapping and mechanical vibration with a mechano-sensation defective mutant. (2) Comparison of the reflex response stimulated by mechanical vibration between wild type and aging mutants. (3) Assessment of the efficacy of the mechanical vibration system on long-term memory for habituation. COMPARISON WITH EXISTING METHODS Conventional C. elegans mechanosensation techniques depend on stimulation either by manually touching a single animal or tapping the Petri dish followed by scoring via visual observation from the examiner. The mechanical vibration method has greater capacity compared to conventional methods which are labor-intensive, have low throughput and lack quantifiable parameters. CONCLUSIONS The mechanical vibration system followed by image analysis is a convenient and integrated platform for investigatingC. elegans reflex and habituation in aging and neural behavioral assays.
Reflex and habituation behavior of Caenorhabditis elegans assessed by a mechanical vibration system and image analysis.
Wan-Hua Yang,Chia-Yi Chen,Kun-Liang Wang,H. Kwok,A. Stern,S. Lo,Hung-chi Yang
Published 2019 in Journal of Neuroscience Methods
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- Publication year
2019
- Venue
Journal of Neuroscience Methods
- Publication date
2019-12-01
- Fields of study
Biology, Medicine, Materials Science, Engineering
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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