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Título

A practical guide to build de-novo assemblies for single tissues of non- model organisms: the example of a Neotropical frog

AutorMontero-Mendieta, Santiago CSIC ORCID; Grabherr, Manfred; Lantz, Henrik; De la Riva, Ignacio CSIC ORCID ; Leonard, Jennifer A. CSIC ORCID; Webster, Matthew T.; Vilà, Carles CSIC ORCID
Palabras claveGenomics, Transcriptomics
RNA-seq
Frog transcriptome
Trinity
Gene ontology
Protein domain identification
Clusters of Orthologous Groups
Kyoto encyclopedia of genes and genomes
Fecha de publicación2017
EditorPeerJ
CitaciónPeerJ, 5:e3702 (2017)
ResumenWhole 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. Nonmodel organisms do not usually have a reference genome and the transcriptome must be assembled de-novo.Weused 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/TRANSCRIPTOMEASSEMBLY- PIPELINE/wiki
Versión del editorhtpp://dx.doi.org/10.7717/peerj.3702
URIhttp://hdl.handle.net/10261/155224
DOI10.7717/peerj.3702
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