A practical guide to build de-novo assemblies for single tissues of non-model organisms: the example of a Neotropical frog
Santiago Montero-Mendieta,
Manfred Grabherr,
Henrik Lantz,
Ignacio De la Riva,
Jennifer A. Leonard,
Matthew T. Webster,
Carles Vilà
Affiliations
Santiago Montero-Mendieta
Conservation and Evolutionary Genetics Group, Department of Integrative Ecology, Doñana Biological Station (EBD-CSIC), Consejo Superior de Investigaciones Científicas, Seville, Spain
Manfred Grabherr
Department of Medical Biochemistry and Microbiology, National Bioinformatics Infrastructure Sweden (BILS), Uppsala Universitet, Uppsala, Sweden
Henrik Lantz
Department of Medical Biochemistry and Microbiology, National Bioinformatics Infrastructure Sweden (BILS), Uppsala Universitet, Uppsala, Sweden
Ignacio De la Riva
Department of Biodiversity and Evolutionary Biology, Museo Nacional de Ciencias Naturales, Consejo Superior de Investigaciones Científicas, Madrid, Spain
Jennifer A. Leonard
Conservation and Evolutionary Genetics Group, Department of Integrative Ecology, Doñana Biological Station (EBD-CSIC), Consejo Superior de Investigaciones Científicas, Seville, Spain
Matthew T. Webster
Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala Universitet, Uppsala, Sweden
Carles Vilà
Conservation and Evolutionary Genetics Group, Department of Integrative Ecology, Doñana Biological Station (EBD-CSIC), Consejo Superior de Investigaciones Científicas, Seville, Spain
Whole genome sequencing (WGS) is a very valuable resource to understand the evolutionary history of poorly known species. However, in organisms with large genomes, as most amphibians, WGS is still excessively challenging and transcriptome sequencing (RNA-seq) represents a cost-effective tool to explore genome-wide variability. Non-model organisms do not usually have a reference genome and the transcriptome must be assembled de-novo. We used RNA-seq to obtain the transcriptomic profile for Oreobates cruralis, a poorly known South American direct-developing frog. In total, 550,871 transcripts were assembled, corresponding to 422,999 putative genes. Of those, we identified 23,500, 37,349, 38,120 and 45,885 genes present in the Pfam, EggNOG, KEGG and GO databases, respectively. Interestingly, our results suggested that genes related to immune system and defense mechanisms are abundant in the transcriptome of O. cruralis. We also present a pipeline to assist with pre-processing, assembling, evaluating and functionally annotating a de-novo transcriptome from RNA-seq data of non-model organisms. Our pipeline guides the inexperienced user in an intuitive way through all the necessary steps to build de-novo transcriptome assemblies using readily available software and is freely available at: https://github.com/biomendi/TRANSCRIPTOME-ASSEMBLY-PIPELINE/wiki.