Proceedings of the Royal Society B Biological Sciences · 2023 · 19 citations · 46 references
Life SciencesBiologyEntomologyAutophagyInsect PhysiologyStress PhysiologyAutophagy In Stress ResponsesAutophagy RegulationHeat StressHeat Stress PhysiologyHeat Stress ToleranceStress Tolerance MechanismsAutophagic ClearanceAutophagy Under StressDrosophila ModelsEcophysiological AdaptationEcophysiological ResponsesMetabolic Responses To Heat StressProtein Aggregation ClearanceThermal Stress Physiology
Mechanisms aimed at recovering from heat-induced damages are closely associated with the ability of ectotherms to survive exposure to stressful temperatures. Autophagy, a ubiquitous stress-responsive catabolic process, has recently gained renewed attention as one of these mechanisms. By increasing the turnover of cellular structures as well as the clearance of long-lived protein and protein aggregates, the induction of autophagy has been linked to increased tolerance to a range of abiotic stressors in diverse ectothermic organisms. However, whether a link between autophagy and heat-tolerance exists in insect models remains unclear despite broad ecophysiological implications thereof. Here, we explored the putative association between autophagy and heat-tolerance using Drosophila melanogaster as a model. We hypothesized that (i) heat-stress would cause an increase of autophagy in flies' tissues, and (ii) rapamycin exposure would trigger a detectable autophagic response in adults and increase their heat-tolerance. In line with our hypothesis, we report that flies exposed to heat-stress present signs of protein aggregation and appear to trigger an autophagy-related homoeostatic response as a result. We further show that rapamycin feeding causes the systemic effect associated with target of rapamycin (TOR) inhibition, induces autophagy locally in the fly gut, and increases the heat-stress tolerance of individuals. These results argue in favour of a substantial contribution of autophagy to the heat-stress tolerance mechanisms of insects.
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Fiji: an open-source platform for biological-image analysis
Johannes Schindelin, Ignacio Arganda‐Carreras, Erwin Frise et al. · Nature Methods · 2012 · 70.9K citations
ImageJ2: ImageJ for the next generation of scientific image data
Curtis Rueden, Johannes Schindelin, Mark Hiner et al. · BMC Bioinformatics · 2017 · 6.2K citations · Full text