A putative origin of the insect chemosensory receptor superfamily in the last common eukaryotic ancestor

Benton, Richard, University of Lausanne, University of Lausanne, https://orcid.org/0000-0003-4305-8301

Dessimoz, Christophe, University of Lausanne, University of Lausanne, https://orcid.org/0000-0002-2170-853X

Moi, David, University of Lausanne, University of Lausanne, https://orcid.org/0000-0002-2664-7385

Richard.Benton@unil.ch, Christophe.Dessimoz@unil.ch, dmoi@unil.ch

Publication date: December 17, 2020

Publisher: Dryad

https://doi.org/10.5061/dryad.s7h44j15f

Citation

Benton, Richard; Dessimoz, Christophe; Moi, David (2020), A putative origin of the insect chemosensory receptor superfamily in the last common eukaryotic ancestor, Dryad, Dataset, https://doi.org/10.5061/dryad.s7h44j15f

Abstract

The insect chemosensory repertoires of Odorant Receptors (ORs) and Gustatory Receptors (GRs) together represent one of the largest families of ligand-gated ion channels. Previous analyses have identified homologous 'Gustatory Receptor-Like (GRL)' proteins across Animalia, but the evolutionary origin of this novel class of ion channels is unknown. We describe a survey of unicellular eukaryotic genomes for GRLs, identifying several candidates in fungi, protists and algae that contain many structural features characteristic of animal GRLs. The existence of these proteins in unicellular eukaryotes, together with ab initio protein structure predictions, provide evidence for homology between GRLs and a family of uncharacterized plant proteins containing the DUF3537 domain. Together, our analyses suggest an origin of this protein superfamily in the last common eukaryotic ancestor.

Usage Notes

Output files of trRosetta and RaptorX analyses of selected insect Odorant Receptors (ORs) and Gustatory Receptors (GRs), other animal GR-like (GRL) proteins, unicellular eukaryotic GRL candidates and plant DUF3537 proteins. For each query, the results of a Dali full PDB search with the top model are included within the corresponding subfolder.

In the trRosetta datasets, the .npz files - which containing the predicted inter-residue geometries - can be opened with NumPy.

Funding

FP7 Ideas: European Research Council, Award: 615094

H2020 European Research Council, Award: 833548

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Award: 31003A_166646

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Award: 183723

Novartis Stiftung für Medizinisch-Biologische Forschung, Award: N/A

Novartis Stiftung für Medizinisch-Biologische Forschung