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Genome assembly and annotation of the tambaqui (Colossoma macropomum): an emblematic fish of the Amazon River Basin
Colossoma macropomum, known as “tambaqui”, is the largest Characiformes fish in the Amazon River Basin and a leading species in Brazilian aquaculture and fisheries. Good quality meat and excellent adaptability to culture systems are some of its remarkable farming features. To support studies into th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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GigaScience Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650303/ https://www.ncbi.nlm.nih.gov/pubmed/36824330 http://dx.doi.org/10.46471/gigabyte.29 |
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author | Hilsdorf, Alexandre Wagner Silva Uliano-Silva, Marcela Coutinho, Luiz Lehmann Montenegro, Horácio Almeida-Val, Vera Maria Fonseca Pinhal, Danillo |
author_facet | Hilsdorf, Alexandre Wagner Silva Uliano-Silva, Marcela Coutinho, Luiz Lehmann Montenegro, Horácio Almeida-Val, Vera Maria Fonseca Pinhal, Danillo |
author_sort | Hilsdorf, Alexandre Wagner Silva |
collection | PubMed |
description | Colossoma macropomum, known as “tambaqui”, is the largest Characiformes fish in the Amazon River Basin and a leading species in Brazilian aquaculture and fisheries. Good quality meat and excellent adaptability to culture systems are some of its remarkable farming features. To support studies into the genetics and genomics of the tambaqui, we have produced the first high-quality genome for the species. We combined Illumina and PacBio sequencing technologies to generate a reference genome, assembled with 39× coverage of long reads and polished to a consensus quality value (QV) of 36 with 130× coverage of short reads. The genome was assembled into 1269 scaffolds (a total of 1,221,847,006 bases), with a scaffold N50 size of 40 Mb, where 93% of all assembled bases were placed in the largest 54 scaffolds corresponding to the diploid karyotype of the tambaqui. Furthermore, the NCBI Annotation Pipeline annotated genes, pseudogenes, and non-coding transcripts using the RefSeq database as evidence, guaranteeing a high-quality annotation. A Genome Data Viewer for the tambaqui was produced, which will benefit groups interested in exploring the unique genomic features of the species. The availability of a highly accurate genome assembly for tambaqui provides the foundation for the discovery of novel ecological and evolutionary insights, and is a helpful resource for aquaculture. |
format | Online Article Text |
id | pubmed-9650303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | GigaScience Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-96503032023-02-22 Genome assembly and annotation of the tambaqui (Colossoma macropomum): an emblematic fish of the Amazon River Basin Hilsdorf, Alexandre Wagner Silva Uliano-Silva, Marcela Coutinho, Luiz Lehmann Montenegro, Horácio Almeida-Val, Vera Maria Fonseca Pinhal, Danillo GigaByte Data Release Colossoma macropomum, known as “tambaqui”, is the largest Characiformes fish in the Amazon River Basin and a leading species in Brazilian aquaculture and fisheries. Good quality meat and excellent adaptability to culture systems are some of its remarkable farming features. To support studies into the genetics and genomics of the tambaqui, we have produced the first high-quality genome for the species. We combined Illumina and PacBio sequencing technologies to generate a reference genome, assembled with 39× coverage of long reads and polished to a consensus quality value (QV) of 36 with 130× coverage of short reads. The genome was assembled into 1269 scaffolds (a total of 1,221,847,006 bases), with a scaffold N50 size of 40 Mb, where 93% of all assembled bases were placed in the largest 54 scaffolds corresponding to the diploid karyotype of the tambaqui. Furthermore, the NCBI Annotation Pipeline annotated genes, pseudogenes, and non-coding transcripts using the RefSeq database as evidence, guaranteeing a high-quality annotation. A Genome Data Viewer for the tambaqui was produced, which will benefit groups interested in exploring the unique genomic features of the species. The availability of a highly accurate genome assembly for tambaqui provides the foundation for the discovery of novel ecological and evolutionary insights, and is a helpful resource for aquaculture. GigaScience Press 2021-09-27 /pmc/articles/PMC9650303/ /pubmed/36824330 http://dx.doi.org/10.46471/gigabyte.29 Text en © The Author(s) 2021. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Data Release Hilsdorf, Alexandre Wagner Silva Uliano-Silva, Marcela Coutinho, Luiz Lehmann Montenegro, Horácio Almeida-Val, Vera Maria Fonseca Pinhal, Danillo Genome assembly and annotation of the tambaqui (Colossoma macropomum): an emblematic fish of the Amazon River Basin |
title | Genome assembly and annotation of the tambaqui (Colossoma macropomum): an emblematic fish of the Amazon River Basin |
title_full | Genome assembly and annotation of the tambaqui (Colossoma macropomum): an emblematic fish of the Amazon River Basin |
title_fullStr | Genome assembly and annotation of the tambaqui (Colossoma macropomum): an emblematic fish of the Amazon River Basin |
title_full_unstemmed | Genome assembly and annotation of the tambaqui (Colossoma macropomum): an emblematic fish of the Amazon River Basin |
title_short | Genome assembly and annotation of the tambaqui (Colossoma macropomum): an emblematic fish of the Amazon River Basin |
title_sort | genome assembly and annotation of the tambaqui (colossoma macropomum): an emblematic fish of the amazon river basin |
topic | Data Release |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650303/ https://www.ncbi.nlm.nih.gov/pubmed/36824330 http://dx.doi.org/10.46471/gigabyte.29 |
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