Evidence for a selective link between cooperation and individual recognition

The ability to recognize others is a frequent assumption of models of the evolution of cooperative behavior. At the same time, cooperative behavior has been proposed as a selective agent favoring the evolution of individual recognition abilities. While theory predicts that recognition and cooperation may co-evolve, data linking recognition abilities and cooperative behavior with evidence of selection are elusive. Here, we provide evidence of a selective link between individual recognition and cooperation in the paper wasp Polistes fuscatus through a combination of clinal, common garden, and population genomics analyses. We identified latitudinal clines in both rates of cooperative nesting and color pattern diversity, consistent with a selective link between recognition and cooperation. In behavioral experiments, we replicated previous results demonstrating individual recognition in cooperative and phenotypically diverse P. fuscatus from New York. In contrast, wasps from a less cooperati..., Please see paper for methods. , , # Data from: Evidence for a selective link between cooperation and individual recognition

[https://doi.org/10.5061/dryad.k3j9kd5f9](https://doi.org/10.5061/dryad.k3j9kd5f9)

Files related to image analysis of face color patterns include:

* \"images_README.rtf\": README file with detailed information on the files below

- “face_pattern_analysis.R”: R script for doing pattern analysis of images. This R script is archived in Zenodo.
- “images.zip”: folder containing all images used in the analysis. Note: this folder contains images with large file sizes (total folder size is 2.7 GB).
- “images_metadata.csv”: contains meta data about the images
- “imageList_aligned.rds”: is an R data file used in the analysis

Files related to the individual recognition experiment include:

* \"Recognition_experiment_README.rtf: README file with detailed information on the files below
* \"Recognition_experiment_analysis.R\": R script for analyzing the data. This R script is archived in Zenodo.
* \"Recognition_...,