Márquez Roberto, Jacob Machado Denis, Nouri Reyhaneh, Gendreau Kerry L, Janies Daniel, Saporito Ralph A, Kronforst Marcus R, Grant Taran
Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA.
Center for Computational Intelligence to Predict Health and Environmental Risks, University of North Carolina at Charlotte, Charlotte, NC, USA.
GigaByte. 2025 Jun 20;2025:gigabyte157. doi: 10.46471/gigabyte.157. eCollection 2025.
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 (12.6 Gb), 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 repeat content, which we estimated 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 and signaling pathways), demonstrating the usefulness of our assembly to the amphibian research community.
箭毒蛙已成为生物学多个领域中成熟的模型系统。然而,这些青蛙的分子和遗传资源开发受到其庞大、高度重复的基因组的阻碍,事实证明这些基因组难以组装。在此,我们展示了一个使用测序平台和生物信息学方法组合生成的(12.6 Gb)草图组装。与其他箭毒蛙测序工作类似,我们得到了一个高度碎片化的组装,这可能是由于基因组的大尺寸和非常高的重复含量,我们估计其重复含量约为88%。尽管组装的连续性较低,但我们能够注释三个感兴趣的基因集(电压门控钠通道以及和信号通路)的多个成员,证明了我们的组装对两栖动物研究界的有用性。