Literature DB >> 33138567

Development of an automatic turntable-type multiple T-maze device and observation of pill bug behavior.

Takaharu Shokaku1, Toru Moriyama2, Hisashi Murakami3, Shuji Shinohara4, Nobuhito Manome4, Kazuyuki Morioka1.   

Abstract

In recent years, various animal observation instruments have been developed to support long-term measurement and analysis of animal behaviors. This study proposes an automatic observation instrument that specializes for turning behaviors of pill bugs and aims to obtain new knowledge in the field of ethology. Pill bugs strongly tend to turn in the opposite direction of a preceding turn. This alternation of turning is called turn alternation reaction. However, a repetition of turns in the same direction is called turn repetition reaction and has been considered a malfunction of turn alternation. In this research, the authors developed an automatic turntable-type multiple T-maze device and observed the turning behavior of 34 pill bugs for 6 h to investigate whether turn repetition is a malfunction. As a result, most of the pill bug movements were categorized into three groups: sub-diffusion, Brownian motion, and Lévy walk. This result suggests that pill bugs do not continue turn alternation mechanically but elicit turn repetition moderately, which results in various movement patterns. In organisms with relatively simple nervous systems such as pill bugs, stereotypical behaviors such as turn alternation have been considered mechanical reactions and variant behaviors such as turn repetition have been considered malfunctions. However, our results suggest that a moderate generation of turn repetition is involved in the generation of various movement patterns. This study is expected to provide a new perspective on the conventional view of the behaviors of simple organisms.

Mesh:

Year:  2020        PMID: 33138567     DOI: 10.1063/5.0009531

Source DB:  PubMed          Journal:  Rev Sci Instrum        ISSN: 0034-6748            Impact factor:   1.523


  1 in total

1.  Mice in a labyrinth show rapid learning, sudden insight, and efficient exploration.

Authors:  Matthew Rosenberg; Tony Zhang; Pietro Perona; Markus Meister
Journal:  Elife       Date:  2021-07-01       Impact factor: 8.140

  1 in total

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