Is variation in female aggressiveness across Drosophila species associated with reproductive potential?
Data files
Mar 11, 2025 version files 180.14 KB
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All_species_metadata.txt
3.40 KB
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All_species.csv
157.76 KB
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Distance_metadata.txt
1.24 KB
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Distance.csv
2.26 KB
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Ground_truthing_metadata.txt
2.30 KB
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Ground_truthing.csv
4.86 KB
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neb_corr2_metadata.txt
887 B
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pr_tree.txt
460 B
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README.md
2.32 KB
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Traits_phylo_metadata.txt
3 KB
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Traits_phylo.csv
1.65 KB
Abstract
Aggression is a key determinant of fitness in many species, mediating access to mates, food, and breeding sites. Variation in intrasexual aggression across species is likely driven by variation in resource availability and distribution. While males primarily compete over access to mates, females are likely to compete over resources to maximize offspring quantity and/or quality, such as food or breeding sites. To date, however, most studies have focused on male aggression, and we know little about drivers of female aggression across species. To investigate potential reproductive drivers of female aggression, we tested the relationship between three reproductive traits and aggression in eight Drosophila species. Using machine learning classifiers developed for D. melanogaster, we quantified aggressive behaviours displayed in the presence of yeast for mated and unmated females. We found that female aggression was correlated with ovariole number across species, suggesting that females that lay more eggs are more aggressive. A need for resources for egg production or oviposition sites may therefore be drivers of female aggression, though other potential hypotheses are discussed.
https://doi.org/10.5061/dryad.zpc866tfp
The dataset and code are the result of experiments in which we measured the amount of aggression in eight species of Drosophila. Briefly, mated or virgin females were place in pairs in an arena with yeast. The number of headbutts and fencing events were scored using machine learning. In addition we obtained data from the literature as well as new data on each species including ovariole number, sperm size, body size, and remating propensity. We find variation in the aggression levels of the species with most decreasing in aggression after mating. Aggression levels are correlated with ovariole number and sperm size. The species examined were Drosophila hydei, D. willistoni, D. nebulosa, D. sturtevanti, D. saltans, D. ananassae, D. bipectinata, and D. pseudoobscura.
Description of the data and file structure
Pr_tree.txt – A text file containing a rooted phylogenetic tree with all 8 species, 7 internal nodes and branch lengths.
All_species.csv – a CSV file containing behavioral data
All_species_metadata.txt – a text file containing the metadata information for All_species.csv
Traits_phylo.csv – a CSV file containing mean values for each species for use in phylogenetic analyses
Traits_phylo_metadata.txt – a text file containing the metadata information for Traits_phylo2a.csv
Ground_truthing.csv – a CSV file containing data from ground-truthing videos for visualization
Ground_truthing_metadata.txt – a text file containing the metadata information for Ground_truthing.csv
Distance.csv – a CSV file containing data on distance between individuals within arenas generated by JAABAPlot
Distance_metadata.txt – a text file containing the metadata information for Distance.csv
neb_corr2.csv - a CSV file containing data on the performance of the Drosophila nebulosa wing behavior
neb_corr2_metadata.txt- a text file containing the metadata information for neb_corr2.csv
NA - Not applicable
Code/Software
Included is the R code in the file Analysis_and_figure code revised.Rmd
The code is annotated with instructions.
This dataset was collected through experiments conducted at Oxford University. Sets of flies were video recorded and the data were extracted by first tracking the flies using the Caltech Fly Tracker. Tracking was exported to JAABA for using supervised machine learning to use classifiers for female aggression. Data were subsequently analyzed in R.
