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A draft genome assembly for the dart-poison frog Phyllobates terribilis

A draft genome assembly for the dart-poison frog Phyllobates terribilis

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

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Authors

Roberto Marquez, Denis Jacob Machado, Reyhaneh Nouri, Kerry L. Gendreau, Daniel Janies, Ralph A. Saporito, Marcus R. Kronforst, Taran Grant

Abstract

Dendrobatid poison frogs have become well established as model systems in several fields of biology. Nevertheless, the development of molecular and genetic resources for these frogs has been hindered by their large, highly repetitive genomes, which have proven difficult to assemble. Here we present a draft assembly for Phyllobates terribilis (12.6Gb), generated using a combination of sequencing platforms and bioinformatic approaches. Similar to other poison frog sequencing efforts, we recovered a highly fragmented assembly, likely due to the genome’s large size and very high repetitive content, which we estimate to be ≈ 88%. Despite the assembly’s low contiguity, we were able to annotate multiple members of three gene sets of interest (voltage-gated sodium channels and Notch and Wnt signaling pathways), demonstrating the usefulness of our assembly to the amphibian research community.

DOI

https://doi.org/10.32942/X2ND11

Subjects

Biology, Genomics

Keywords

Dates

Published: 2025-06-10 16:32

Last Updated: 2025-06-10 16:32

License

CC-By Attribution-NonCommercial-NoDerivatives 4.0 International

Additional Metadata

Conflict of interest statement:
The authors declare no conflicts of interest

Data and Code Availability Statement:
Our assembly and sequencing data are available under NCBI BioProject no. PRJNA1054463. Raw reads have SRA accessions SRR27279910- SRR27279919, as detailed in Table 1. The final assembly, PTer_1.0 has been assigned WGS accession JBBPXS01, and is available under GenBank accession GCA_045270155.1. The assembly (repeat-masked and unmasked), gene predictions and annotations, and REPdenovo and RepeatMasker output files, along with the code used to generate the assembly, are available at http://gigadb.org/dataset/102722.

Language:
English