Abstract

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.

Highlights

  • The word ‘‘genomics’’ refers to the study of the complete set of genes and gene products in an individual

  • Illumina RNA sequencing for three tissues of O. cruralis in an Illumina HiSeq2500 instrument produced a total of almost 523 × 106 raw reads

  • Large genome size renders complete genome sequencing practically unfeasible in many species, such as most amphibians, transcriptome sequencing represents a costeffective alternative to obtain a large amount of genome-wide data

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Summary

Introduction

The word ‘‘genomics’’ refers to the study of the complete set of genes and gene products in an individual. Genomics has drastically changed the way that we understand and study the genetic features of living organisms. Due to novel gene discovery, genomics has proved useful in many fields, such as molecular medicine (Giallourakis et al, 2005), molecular anthropology (Destro-Bisol et al, 2010), social sciences (McBride et al, 2010), evolutionary biology (Wolfe, 2006) and biological conservation (McMahon, Teeling & Höglund, 2014), among others. Genomics has proved highly informative in elucidating evolutionary history of species and, for example, has enabled finding genes that could explain the variation in beak size within and among species of Darwin’s finches, in addition to providing new insights into the evolutionary history of these birds (Lamichhaney et al, 2015; Lamichhaney et al, 2016)

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