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A practical guide to build de-novo assemblies for single tissues of non-model organisms: the example of a Neotropical frog
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 expl...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5582611/ https://www.ncbi.nlm.nih.gov/pubmed/28879061 http://dx.doi.org/10.7717/peerj.3702 |
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author | Montero-Mendieta, Santiago Grabherr, Manfred Lantz, Henrik De la Riva, Ignacio Leonard, Jennifer A. Webster, Matthew T. Vilà, Carles |
author_facet | Montero-Mendieta, Santiago Grabherr, Manfred Lantz, Henrik De la Riva, Ignacio Leonard, Jennifer A. Webster, Matthew T. Vilà, Carles |
author_sort | Montero-Mendieta, Santiago |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5582611 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55826112017-09-06 A practical guide to build de-novo assemblies for single tissues of non-model organisms: the example of a Neotropical frog Montero-Mendieta, Santiago Grabherr, Manfred Lantz, Henrik De la Riva, Ignacio Leonard, Jennifer A. Webster, Matthew T. Vilà, Carles PeerJ Bioinformatics 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. PeerJ Inc. 2017-09-01 /pmc/articles/PMC5582611/ /pubmed/28879061 http://dx.doi.org/10.7717/peerj.3702 Text en ©2017 Montero-Mendieta et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Montero-Mendieta, Santiago Grabherr, Manfred Lantz, Henrik De la Riva, Ignacio Leonard, Jennifer A. Webster, Matthew T. Vilà, Carles A practical guide to build de-novo assemblies for single tissues of non-model organisms: the example of a Neotropical frog |
title | A practical guide to build de-novo assemblies for single tissues of non-model organisms: the example of a Neotropical frog |
title_full | A practical guide to build de-novo assemblies for single tissues of non-model organisms: the example of a Neotropical frog |
title_fullStr | A practical guide to build de-novo assemblies for single tissues of non-model organisms: the example of a Neotropical frog |
title_full_unstemmed | A practical guide to build de-novo assemblies for single tissues of non-model organisms: the example of a Neotropical frog |
title_short | A practical guide to build de-novo assemblies for single tissues of non-model organisms: the example of a Neotropical frog |
title_sort | practical guide to build de-novo assemblies for single tissues of non-model organisms: the example of a neotropical frog |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5582611/ https://www.ncbi.nlm.nih.gov/pubmed/28879061 http://dx.doi.org/10.7717/peerj.3702 |
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