Characterization of the Tree Holes Used by Lepilemur ruficaudatus in the Dry, Deciduous Forest of Kirindy Mitea National Park

Rakotomalala, Elvis J; Rakotondraparany, Felix; Perofsky, Amanda C.; Lewis, Rebecca J.

doi:10.1159/000464406

Cited by 5 publications

(5 citation statements)

References 75 publications

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“…Indeed, ambient temperature has a profound effect on sleep in natural environments (Yetish et al, 2015;Gravett et al, 2017). Moreover, animals are known to engage in a number of behavioral adaptations that allow them to sleep in suboptimal thermal environments (Rakotomalala et al, 2017;Campbell et al, 2018;Harding et al, 2019;Reinhardt et al, 2019;Mills et al, 2021). Thus, the interaction between sleep and behavioral thermoregulation is evolutionarily conserved.…”

Section: Discussionmentioning

confidence: 99%

Sleep deprivation, sleep fragmentation, and social jet lag increase temperature preference in Drosophila

et al. 2023

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Despite the fact that sleep deprivation substantially affects the way animals regulate their body temperature, the specific mechanisms behind this phenomenon are not well understood. In both mammals and flies, neural circuits regulating sleep and thermoregulation overlap, suggesting an interdependence that may be relevant for sleep function. To investigate this relationship further, we exposed flies to 12 h of sleep deprivation, or 48 h of sleep fragmentation and evaluated temperature preference in a thermal gradient. Flies exposed to 12 h of sleep deprivation chose warmer temperatures after sleep deprivation. Importantly, sleep fragmentation, which prevents flies from entering deeper stages of sleep, but does not activate sleep homeostatic mechanisms nor induce impairments in short-term memory also resulted in flies choosing warmer temperatures. To identify the underlying neuronal circuits, we used RNAi to knock down the receptor for Pigment dispersing factor, a peptide that influences circadian rhythms, temperature preference and sleep. Expressing UAS-PdfrRNAi in subsets of clock neurons prevented sleep fragmentation from increasing temperature preference. Finally, we evaluated temperature preference after flies had undergone a social jet lag protocol which is known to disrupt clock neurons. In this protocol, flies experience a 3 h light phase delay on Friday followed by a 3 h light advance on Sunday evening. Flies exposed to social jet lag exhibited an increase in temperature preference which persisted for several days. Our findings identify specific clock neurons that are modulated by sleep disruption to increase temperature preference. Moreover, our data indicate that temperature preference may be a more sensitive indicator of sleep disruption than learning and memory.

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Section: Discussionmentioning

confidence: 99%

Sleep deprivation, sleep fragmentation, and social jet lag increase temperature preference in Drosophila

et al. 2023

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“…Moreover, animals are known to engage in a number of behavioral adaptations that allow them to sleep in suboptimal thermal environments [89; 91; 92; 93; 94]. Thus, the interaction between sleep and behavioral thermoregulation is evolutionarily conserved.…”

Section: Discussionmentioning

confidence: 99%

Sleep Deprivation, Sleep Fragmentation and Social Jet Lag increase temperature preference inDrosophila

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Simhambhatla

et al. 2023

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Despite the fact that sleep deprivation substantially affects the way animals regulate their body temperature, the specific mechanisms behind this phenomenon are not well understood. In both mammals and flies, neural circuits regulating sleep and thermoregulation overlap, suggesting an interdependence that may be relevant for sleep function. To investigate this relationship further, we exposed flies to 12 h of sleep deprivation, or 48 h of sleep fragmentation and evaluated temperature preference in a thermal gradient. Flies exposed to 12 h of sleep deprivation chose warmer temperatures after sleep deprivation. Importantly, sleep fragmentation, which prevents flies from entering deeper stages of sleep, but does not activate sleep homeostatic mechanisms nor induce impairments in short-term memory also resulted in flies choosing warmer temperatures. To identify the underlying neuronal circuits, we used RNAi to knock down the receptor forPigment dispersing factor, a peptide that influences circadian rhythms, temperature preference and sleep. Expressing UAS-PdfrRNAiin subsets of clock neurons prevented sleep fragmentation from increasing temperature preference. Finally, we evaluated temperature preference after flies had undergone a social jet lag protocol which is known to disrupt clock neurons. In this protocol, flies experience a 3 h light phase delay on Friday followed by a 3 h light advance on Sunday evening. Flies exposed to social jet lag exhibited an increase in temperature preference which persisted for several days. Our findings identify specific clock neurons that are modulated by sleep disruption to increase temperature preference. Moreover, our data indicate that temperature preference may be a more sensitive indicator of sleep disruption than learning and memory.

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“…Semideciduous forests typically shed their leaves at certain times of year and their microhabitat characteristics differ between "leaf-off" and "leaf-on" conditions (as derived from, e.g., Hue et al 2016;Rakotomalala et al 2017). For example, microhabitat characteristics such as temperatures and luminosities typically increase, and canopy cover, amount of shade, and the presence of food sources typically decrease, when trees shed their leaves.…”

Section: Discussionmentioning

confidence: 99%

Classifying Chimpanzee (Pan troglodytes) Landscapes Across Large-Scale Environmental Gradients in Africa

2020

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Primates are sometimes categorized in terms of their habitat. Although such categorization can be oversimplistic, there are scientific benefits from the clarity and consistency that habitat categorization can bring. Chimpanzees (Pan troglodytes) inhabit various environments, but researchers often refer to "forest" or "savanna" chimpanzees. Despite the wide use of this forest-savanna distinction, clear definitions of these landscapes for chimpanzees, based on environmental variables at study sites or determined in relation to existing bioclimatic classifications, are lacking. The robustness of the forest-savanna distinction thus remains to be assessed. We review 43 chimpanzee study sites to assess how the landscape classifications of researchers fit with the environmental characteristics of study sites and with three bioclimatic classifications. We use scatterplots and principal components analysis to assess the distribution of chimpanzee field sites along gradients of environmental variables (temperature, rainfall, precipitation seasonality, forest cover, and satellite-derived Hansen tree cover). This revealed an environmental continuum of chimpanzee study sites from savanna to dense forest, with a rarely acknowledged forest mosaic category in between, but with no natural separation into these three classes and inconsistencies with the bioclimatic classifications assessed. The current forest-savanna dichotomy therefore masks a progression of environmental adaptation for chimpanzees, and we propose that recognizing an additional, intermediate "forest mosaic" category is more meaningful than focusing on the ends of this environmental gradient only. Future studies should acknowledge this habitat continuum, place their study sites on the forest-savanna gradient, and include detailed environmental data to support further attempts at quantification.

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Characterization of the Tree Holes Used by Lepilemur ruficaudatus in the Dry, Deciduous Forest of Kirindy Mitea National Park

Cited by 5 publications

References 75 publications

Sleep deprivation, sleep fragmentation, and social jet lag increase temperature preference in Drosophila

Sleep deprivation, sleep fragmentation, and social jet lag increase temperature preference in Drosophila

Sleep Deprivation, Sleep Fragmentation and Social Jet Lag increase temperature preference inDrosophila

Classifying Chimpanzee (Pan troglodytes) Landscapes Across Large-Scale Environmental Gradients in Africa

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