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Liver transcriptome resources of four commercially exploited teleost species
The generation of omic resources is central to develop adequate management strategies for species with economic value. Here, we provide high-coverage RNA-seq datasets of liver tissue (containing between 80,2 and 88,4 million of paired-end reads) from four wildtype teleost species with high commercia...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340784/ https://www.ncbi.nlm.nih.gov/pubmed/32636445 http://dx.doi.org/10.1038/s41597-020-0565-9 |
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author | Machado, André M. Muñoz-Merida, Antonio Fonseca, Elza Veríssimo, Ana Pinto, Rui Felício, Mónica da Fonseca, Rute R. Froufe, Elsa Castro, L. Filipe C. |
author_facet | Machado, André M. Muñoz-Merida, Antonio Fonseca, Elza Veríssimo, Ana Pinto, Rui Felício, Mónica da Fonseca, Rute R. Froufe, Elsa Castro, L. Filipe C. |
author_sort | Machado, André M. |
collection | PubMed |
description | The generation of omic resources is central to develop adequate management strategies for species with economic value. Here, we provide high-coverage RNA-seq datasets of liver tissue (containing between 80,2 and 88,4 million of paired-end reads) from four wildtype teleost species with high commercial value: Trachurus trachurus (TTR; Atlantic horse mackerel), Scomber scombrus (SSC; Atlantic mackerel), Trisopterus luscus (TLU; pout), and Micromesistius poutassou (MPO; blue whiting). A comprehensive assembly pipeline, using de novo single and multi-kmer assembly approaches, produced 64 single high-quality liver transcriptomes – 16 per species. The final assemblies, with N50 values ranging from 2,543–3,700 bp and BUSCO (Benchmarking Universal Single-Copy Orthologs) completeness values between 81.8–86.5% of the Actinopterygii gene set, were subjected to open reading frame (ORF) prediction and functional annotation. Our study provides the first transcriptomic resources for these species and offers valuable tools to evaluate both neutral and selected genetic variation among populations, and to identify candidate genes for environmental adaptation assisting in the investigation of the effects of global changes in fisheries. |
format | Online Article Text |
id | pubmed-7340784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73407842020-07-09 Liver transcriptome resources of four commercially exploited teleost species Machado, André M. Muñoz-Merida, Antonio Fonseca, Elza Veríssimo, Ana Pinto, Rui Felício, Mónica da Fonseca, Rute R. Froufe, Elsa Castro, L. Filipe C. Sci Data Data Descriptor The generation of omic resources is central to develop adequate management strategies for species with economic value. Here, we provide high-coverage RNA-seq datasets of liver tissue (containing between 80,2 and 88,4 million of paired-end reads) from four wildtype teleost species with high commercial value: Trachurus trachurus (TTR; Atlantic horse mackerel), Scomber scombrus (SSC; Atlantic mackerel), Trisopterus luscus (TLU; pout), and Micromesistius poutassou (MPO; blue whiting). A comprehensive assembly pipeline, using de novo single and multi-kmer assembly approaches, produced 64 single high-quality liver transcriptomes – 16 per species. The final assemblies, with N50 values ranging from 2,543–3,700 bp and BUSCO (Benchmarking Universal Single-Copy Orthologs) completeness values between 81.8–86.5% of the Actinopterygii gene set, were subjected to open reading frame (ORF) prediction and functional annotation. Our study provides the first transcriptomic resources for these species and offers valuable tools to evaluate both neutral and selected genetic variation among populations, and to identify candidate genes for environmental adaptation assisting in the investigation of the effects of global changes in fisheries. Nature Publishing Group UK 2020-07-07 /pmc/articles/PMC7340784/ /pubmed/32636445 http://dx.doi.org/10.1038/s41597-020-0565-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Machado, André M. Muñoz-Merida, Antonio Fonseca, Elza Veríssimo, Ana Pinto, Rui Felício, Mónica da Fonseca, Rute R. Froufe, Elsa Castro, L. Filipe C. Liver transcriptome resources of four commercially exploited teleost species |
title | Liver transcriptome resources of four commercially exploited teleost species |
title_full | Liver transcriptome resources of four commercially exploited teleost species |
title_fullStr | Liver transcriptome resources of four commercially exploited teleost species |
title_full_unstemmed | Liver transcriptome resources of four commercially exploited teleost species |
title_short | Liver transcriptome resources of four commercially exploited teleost species |
title_sort | liver transcriptome resources of four commercially exploited teleost species |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340784/ https://www.ncbi.nlm.nih.gov/pubmed/32636445 http://dx.doi.org/10.1038/s41597-020-0565-9 |
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