Mitonuclear interactions and early-life diet shape adult nutritional behaviour
Data files
Oct 13, 2025 version files 93.01 KB
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devtime.csv
55.29 KB
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dietpref.csv
35.66 KB
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README.md
2.05 KB
Abstract
Mitochondrial function relies on close coordination between the mitochondrial and nuclear genomes. Disruption to this coordination—via mitonuclear mismatch—can impair metabolic efficiency, particularly under energetically demanding conditions such as during development. The nutritional environment further modulates mitochondrial demands, suggesting that mitonuclear genotype and diet may interact to shape life-history traits and behaviour. Here, we investigate how early-life diet and mitonuclear genotype jointly influence development time, adult body size, and nutritional preference in Drosophila melanogaster. Using a full-factorial panel of putatively matched and mismatched combinations (cybrids) of mitonuclear genotype derived from natural Australian populations, we reared flies on diets varying in their ratio of macronutrients and assessed how this influenced larval development and subsequent adult diet preference. Developmental rate was significantly influenced by mitonuclear coevolution and diet, with cybrids showing delayed development under all conditions, with dietary extremes exacerbating this effect. Despite this, egg-to-adult viability remained unaffected. Adult nutritional behaviour exhibited clear genotype- and diet-dependent effects. Flies reared on high-protein diets increased carbohydrate intake as adults, while those reared on high-carbohydrate diets increased protein intake, suggesting compensatory feeding responses. Mitonuclear mismatch further modulated nutrient consumption, particularly in females, whose carbohydrate intake was influenced by intergenomic compatibility and early-life dietary conditions. Males’ protein consumption was also impacted by mitonuclear coevolution across all developmental diets. Finally, body size was also shaped by interactions between mitonuclear genotype and diet. Together, our findings demonstrate that mitonuclear compatibility and the composition of the early nutritional environment interact to shape developmental and behavioural phenotypes. These results support a role for mitonuclear coadaptation in mediating metabolic plasticity, highlighting the evolutionary and physiological significance of genotype-specific mitonuclear coordination.
Dataset DOI: 10.5061/dryad.98sf7m0wz
Description of the data and file structure
Two experiments were run for this project. The first is a diet choice (dietchoice.csv) and the second is a diet preference assay (devtime.csv)
Files and variables
File: dietpref.csv
Description:
Variables
- block: unit of measure where the whole experiment was replicated
- sex: male or female fly
- nuc: nuclear genome fly harboured
- mito: mtDNA genotype of fly
- diet: diet that flies were developed on (D = high carb, B = standard, A = high protein)
- vial: vial number (within diet) that the flies developed in
- totalp: total amount of protein consumed across 3 days of experiment - unit of measurement: ul
- totalc: total amount of carbohydrate consumed across 3 days of experiment- unit of measurement: ul
- weight: dry mass of the fly following the experiment - unit of measurement: mg
- c-w: total amount of carbohydrate consumed / dry weight - unit of measurement: ul/mg
- p-w: total amount of protein consumed / dry weight - unit of measurement: ul/mg
- coev: coevolution status of the fly genotype. Genotypes "tT" and "mM" are coevolved, whereas the other two are disrupted.
File: devtime.csv
Description:
Variables
- diet: diet that flies were developed on (hc = high carb, st = standard, hp = high protein)
- sex: male of female flies
- strain: mitonuclear genotyoe of the fly
- dev: development time - unit of measurement: hours
- vial:vial flies were developed in (within each diet treatment)
- [empty column]
- mito: mtDNA genotype of fly
- nuc: nucelar genotype of the fly
- coev: coevolvution status. Genotypes "tT" and "mM" are coevolved, whereas the other two are disrupted.
Code/software
All data analysis was performed on R.
Access information
Other publicly accessible locations of the data:
- N/A
Data was derived from the following sources:
- N/A
