Data and code from: Multigenerational exposure to high-fat and high-sugar diets exacerbates reproductive distress in an insect model

In our study, we used experimental evolution to determine how high-fat and high-sugar diets affect the fitness of the common house fly Musca domestica, and if multigenerational exposure leads to compensatory metabolic changes. Housefly larvae were reared on a high-fat, high-sugar, or control diet for 51 consecutive generations, whereupon we measured several larval, pupal, and adult life-history traits. To test the direct effects of the diets on life-history traits, we switched the 50th generation of control diet flies onto the experimental diets and measured the same life history traits. We also directly compared the single-generational exposed and the multigenerational evolved lines to determine if the observed diet-induced adverse metabolic effects expanded across generations.
, , # Data and code from: Multigenerational exposure to high-fat and high-sugar diets exacerbates reproductive distress in an insect model

Dataset DOI: [10.5061/dryad.t76hdr8dg](https://doi.org/10.5061/dryad.t76hdr8dg)

## Description of the data and file structure

### Files and variables

The .csv files contain the raw data. All variables are defined in the file Legend.xlsx. The file Legend.xlsx has multiple sheets, and the names of these sheets correspond to associated .csv files.

Development.Time.Data.csv\
This is the raw data for the pupal development time (in hours).

Dry.Weight.Data.csv\
This is the raw data for the larval dry weight (in mg).

Fat.Content.Data.csv\
This is the raw data for the larval fat content (in mg).

Fecundity.Data.csv\
This is the raw data for the female fecundity (as number of eggs).

Pupal.Viability.Data.csv\
This is the raw data for the pupal viability ( as % survival).

Starvation.Resistance.Data.csv\
This is the raw data for the starvation resistance (in...,