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Next generation sequencing and de novo transcriptomics to study gene evolution

BACKGROUND: Studying gene evolution in non-model species by PCR-based approaches is limited to highly conserved genes. The plummeting cost of next generation sequencing enables the application of de novo transcriptomics to any species. RESULTS: Here we describe how to apply de novo transcriptomics t...

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Autores principales: Jayasena, Achala S, Secco, David, Bernath-Levin, Kalia, Berkowitz, Oliver, Whelan, James, Mylne, Joshua S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4216380/
https://www.ncbi.nlm.nih.gov/pubmed/25364374
http://dx.doi.org/10.1186/1746-4811-10-34
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author Jayasena, Achala S
Secco, David
Bernath-Levin, Kalia
Berkowitz, Oliver
Whelan, James
Mylne, Joshua S
author_facet Jayasena, Achala S
Secco, David
Bernath-Levin, Kalia
Berkowitz, Oliver
Whelan, James
Mylne, Joshua S
author_sort Jayasena, Achala S
collection PubMed
description BACKGROUND: Studying gene evolution in non-model species by PCR-based approaches is limited to highly conserved genes. The plummeting cost of next generation sequencing enables the application of de novo transcriptomics to any species. RESULTS: Here we describe how to apply de novo transcriptomics to pursue the evolution of a single gene of interest. We follow a rapidly evolving seed protein that encodes small, stable peptides. We use software that needs limited bioinformatics background and assemble four de novo seed transcriptomes. To demonstrate the quality of the assemblies, we confirm the predicted genes at the peptide level on one species which has over ten copies of our gene of interest. We explain strategies that favour assembly of low abundance genes, what assembly parameters help capture the maximum number of transcripts, how to develop a suite of control genes to test assembly quality and we compare several sequence depths to optimise cost and data volume. CONCLUSIONS: De novo transcriptomics is an effective approach for studying gene evolution in species for which genome support is lacking.
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spelling pubmed-42163802014-11-02 Next generation sequencing and de novo transcriptomics to study gene evolution Jayasena, Achala S Secco, David Bernath-Levin, Kalia Berkowitz, Oliver Whelan, James Mylne, Joshua S Plant Methods Methodology BACKGROUND: Studying gene evolution in non-model species by PCR-based approaches is limited to highly conserved genes. The plummeting cost of next generation sequencing enables the application of de novo transcriptomics to any species. RESULTS: Here we describe how to apply de novo transcriptomics to pursue the evolution of a single gene of interest. We follow a rapidly evolving seed protein that encodes small, stable peptides. We use software that needs limited bioinformatics background and assemble four de novo seed transcriptomes. To demonstrate the quality of the assemblies, we confirm the predicted genes at the peptide level on one species which has over ten copies of our gene of interest. We explain strategies that favour assembly of low abundance genes, what assembly parameters help capture the maximum number of transcripts, how to develop a suite of control genes to test assembly quality and we compare several sequence depths to optimise cost and data volume. CONCLUSIONS: De novo transcriptomics is an effective approach for studying gene evolution in species for which genome support is lacking. BioMed Central 2014-10-20 /pmc/articles/PMC4216380/ /pubmed/25364374 http://dx.doi.org/10.1186/1746-4811-10-34 Text en © Jayasena et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. 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, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology
Jayasena, Achala S
Secco, David
Bernath-Levin, Kalia
Berkowitz, Oliver
Whelan, James
Mylne, Joshua S
Next generation sequencing and de novo transcriptomics to study gene evolution
title Next generation sequencing and de novo transcriptomics to study gene evolution
title_full Next generation sequencing and de novo transcriptomics to study gene evolution
title_fullStr Next generation sequencing and de novo transcriptomics to study gene evolution
title_full_unstemmed Next generation sequencing and de novo transcriptomics to study gene evolution
title_short Next generation sequencing and de novo transcriptomics to study gene evolution
title_sort next generation sequencing and de novo transcriptomics to study gene evolution
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4216380/
https://www.ncbi.nlm.nih.gov/pubmed/25364374
http://dx.doi.org/10.1186/1746-4811-10-34
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