Dataset Information

Recording lifetime behavior and movement in an invertebrate model.

ABSTRACT: Characterization of lifetime behavioral changes is essential for understanding aging and aging-related diseases. However, such studies are scarce partly due to the lack of efficient tools. Here we describe and provide proof of concept for a stereo vision system that classifies and sequentially records at an extremely fine scale six different behaviors (resting, micro-movement, walking, flying, feeding and drinking) and the within-cage (3D) location of individual tephritid fruit flies by time-of-day throughout their lives. Using flies fed on two different diets, full sugar-yeast and sugar-only diets, we report for the first time their behavioral changes throughout their lives at a high resolution. We have found that the daily activity peaks at the age of 15-20 days and then gradually declines with age for flies on both diets. However, the overall daily activity is higher for flies on sugar-only diet than those on the full diet. Flies on sugar-only diet show a stronger diurnal localization pattern with higher preference to staying on the top of the cage during the period of light-off when compared to flies on the full diet. Clustering analyses of age-specific behavior patterns reveal three distinct young, middle-aged and old clusters for flies on each of the two diets. The middle-aged groups for flies on sugar-only diet consist of much younger age groups when compared to flies on full diet. This technology provides research opportunities for using a behavioral informatics approach for understanding different ways in which behavior, movement, and aging in model organisms are mutually affecting.

SUBMITTER: Zou S

PROVIDER: S-EPMC3075241 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature

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Recording lifetime behavior and movement in an invertebrate model.

Zou Sige S Liedo Pablo P Altamirano-Robles Leopoldo L Cruz-Enriquez Janeth J Morice Amy A Ingram Donald K DK Kaub Kevin K Papadopoulos Nikos N Carey James R JR

PloS one 20110412 4

Characterization of lifetime behavioral changes is essential for understanding aging and aging-related diseases. However, such studies are scarce partly due to the lack of efficient tools. Here we describe and provide proof of concept for a stereo vision system that classifies and sequentially records at an extremely fine scale six different behaviors (resting, micro-movement, walking, flying, feeding and drinking) and the within-cage (3D) location of individual tephritid fruit flies by time-of- ...[more]

PMID: 21559058

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Recording lifetime behavior and movement in an invertebrate model.

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Recording lifetime behavior and movement in an invertebrate model.

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