This repository provides access to the data and methods used for the comparative analysis of ant brain gene expression between reproductive and non-reproductive castes. This work was originally published in Chandra, V., Fetter-Pruneda, I. et al. Science (2018):
Social regulation of insulin signaling and the evolution of eusociality in ants
Vikram Chandra*(1), Ingrid Fetter-Pruneda*(1), Peter R. Oxley(1,2), Amelia L. Ritger(1), Sean K. McKenzie(1,3), Romain Libbrecht(1,4), Daniel J. C. Kronauer(1)
- Laboratory of Social Evolution and Behavior, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA
- Samuel J. Wood Library, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA
- Department of Ecology and Evolution, University of Lausanne, Biophore Building, 1015 Lausanne, Switzerland
- Institute of Organismic and Molecular Evolution, Johannes Gutenberg University, Johannes-von-Müller-Weg 6, 55128 Mainz, Germany
* These authors contributed equally
- README - this file
- License - GNU public license
- DESeq2_output - the differential gene expression values calculated for each of the seven species using DESeq2.
- orthomcl_output - the mcl groups from analysis of 18 NCBI-annotated insect genomes
- comparative_analysis - jupyter notebook showing the identification of concordant differentially expressed genes in seven ant species
- Cpla_contamination_removal - jupyter notebook showing the pipeline to identify and remove contaminants from the Camponotus planatus transcriptome
- Orug_contamination_removal - jupyter notebook showing the pipeline to identify and remove contaminants from the Odontomachus ruginodis transcriptome
- clean_Cpla_txome - Predicted peptide sequences for each transcript in the cleaned Camponotus planatus transcriptome
- clean_Orug_txome - Predicted peptide sequences for each transcript in the cleaned Odontomachus ruginodis transcriptome