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Abstract:
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Sleep is a vital process that is one of the most conserved behaviors in the animal kingdom, yet many aspects of sleep and wake cycle regulation are not well understood. The fruitfly, Drosophila melanogaster, is a model organism used to investigate sleep rhythms in mammals. The sleep-wake status can be recorded every minute throughout entire lifespan of individual flies, resulting in a wealth of data for identifying meaningful sleep properties and determining whether there is a link between sleep and lifespan. We derived first order Markov transition probabilities of the fly staying asleep or staying awake from one minute to the next. These probabilities are calculated on a daily basis that change across a fly's life. Initial analysis revealed the trajectory shape of transition probabilities over time may be a meaningful predictor of lifespan. Functional principal component analysis (FPCA) is proposed to capture differences in trend among flies and provide an efficient way to summarize trajectories for longevity prediction. We present this approach to characterizing fly sleep patterns via daily transition probabilities combined with FPCA in a group of wild-type male flies.
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