Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1782342252792643584 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4216380 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT jayasenaachalas nextgenerationsequencinganddenovotranscriptomicstostudygeneevolution AT seccodavid nextgenerationsequencinganddenovotranscriptomicstostudygeneevolution AT bernathlevinkalia nextgenerationsequencinganddenovotranscriptomicstostudygeneevolution AT berkowitzoliver nextgenerationsequencinganddenovotranscriptomicstostudygeneevolution AT whelanjames nextgenerationsequencinganddenovotranscriptomicstostudygeneevolution AT mylnejoshuas nextgenerationsequencinganddenovotranscriptomicstostudygeneevolution |