Increased average temperatures and extreme thermal events (such as heatwaves) brought forth by climate change impose important constraints on aerobic metabolism. Notably, mitochondrial metabolism, which is affected by both long- and short-term temperature changes, has been put forward as an important determinant for thermal tolerance of organisms. This study examined the influence of phenotypic plasticity on metabolic and physiological parameters in Drosophila melanogaster and the link between mitochondrial function and their upper thermal limits. We showed that D. melanogaster acclimated to 15°C have a 0.65°C lower critical thermal maximum (CTmax) compared with those acclimated to 24°C. Drosophila melanogaster acclimated to 15°C exhibited a higher proportion of shorter saturated and monounsaturated fatty acids, concomitant with lower proportions of polyunsaturated fatty acids. No mitochondrial quantitative changes (fractional area and number) were detected between acclimation groups, but changes of mitochondrial oxidation capacities were observed. Specifically, in both 15°C- and 24°C-acclimated flies, complex I-induced respiration was increased when measured between 15 and 24°C, but drastically declined when measured at 40°C. When succinate and glycerol-3-phosphate were added, this decrease was however compensated for in flies acclimated to 24°C, suggesting an important impact of acclimation on mitochondrial function related to thermal tolerance. Our study reveals that the use of oxidative substrates at high temperatures is influenced by acclimation temperature and strongly related to upper thermal tolerance as a difference of 0.65°C in CTmax translates into significant mitochondrial changes.

Author contributions

Conceptualization: N.P.; Methodology: A.B., M.A., N.G., A.L., N.P.; Validation: A.B., M.A., N.P.; Formal analysis: A.B., M.A., N.P.; Investigation: A.B., M.A., N.G., A.L.; Resources: N.P.; Data curation: A.B., M.A., N.G., A.L., N.P.; Writing - original draft: A.B., M.A., N.P.; Writing - review & editing: M.A., N.G., A.L.; Visualization: M.A.; Supervision: N.P.; Project administration: N.P.; Funding acquisition: N.P.

Funding

This work was supported by grants from the Natural Sciences and Engineering Research Council of Canada (NSERC) (grant number RGPIN-2017-05100 and RGPIN-2023-05945), the Université de Moncton, and the New Brunswick Innovation Foundation (NBIF) to N.P. (RAI_2021_049).

Data availability

All the data used in this article are available from Mendeley Data: doi:10.17632/65gk62bkff.2

You do not currently have access to this content.