Comparative Analysis of Human and Drosophila melanogaster Circadian Rhythms Using DAM Software

Maria Eduarda Couto Dourado, Alessia Zedde, Melissa Lehman, Kimberly D. Rowland

Research output: Contribution to conferencePoster

Abstract

This study aims to analyze human sleep patterns and compare them to Drosophila melanogaster (fruit fly) circadian rhythms using Drosophila Activity Monitoring (DAM) software. The primary objective is to determine the similarities between human and Drosophila sleep-wake cycles under controlled conditions. Human subject data will be collected through an anonymous survey assessing sleep duration, bedtime, wake-up time, mood variations, and lifestyle factors such as work schedule and caffeine intake. The collected data will be processed using DAM software to analyze human sleep-wake cycle patterns. To compare circadian rhythms, human-derived sleep patterns will be integrated into the DAM system to regulate environmental conditions, including light exposure and feeding schedules, for Drosophila melanogaster. Primary outcome measures will include sleep duration and activity levels during the wake phases. Comparative analysis will identify potential similarities and deviations between human and Drosophila circadian rhythms.

Original languageAmerican English
StatePublished - Apr 18 2025
EventLynn University 2025 Student Research Symposium - Eugene M. and Christine E. Lynn Library, Boca Raton, United States
Duration: Apr 18 2025Apr 18 2025

Lynn University Events

Lynn University EventsLynn University 2025 Student Research Symposium
Country/TerritoryUnited States
CityBoca Raton
Period4/18/254/18/25

Bibliographical note

Poster Presentation: Health and Social Sciences category

Faculty Sponsors: Dr. Melissa Lehman & Dr. Kimberly Rowland

Poster Presentation Category Winner - Health and Social Sciences category: “A Comparative Analysis of Human and Drosophila Circadian Rhythms Using DAM Software” by Maria Eduarda Couto Dourado & Alessia Zedde with Faculty Sponsors: Dr. Melissa Lehman & Dr. Kimberly Rowland

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