De novo transcriptome assembly, functional annotation and characterization of the Atlantic bluefin tuna (Thunnus thynnus) larval stage.

Larval transcriptome Thunnus thynnus Transcriptomics Tuna larvae

Journal

Marine genomics
ISSN: 1876-7478
Titre abrégé: Mar Genomics
Pays: Netherlands
ID NLM: 101475200

Informations de publication

Date de publication:
Aug 2021
Historique:
received: 29 07 2020
revised: 10 12 2020
accepted: 11 12 2020
pubmed: 30 12 2020
medline: 12 10 2021
entrez: 29 12 2020
Statut: ppublish

Résumé

In the present work, we assembled and characterized a de novo larval transcriptome of the Atlantic bluefin tuna Thunnus thynnus by taking advantage of publicly available databases with the goal of better understanding its larval development. The assembled transcriptome comprised 37,117 protein-coding transcripts, of which 13,633 full-length (>80% coverage), with an Ex90N50 of 3061 bp and 76% of complete and single-copy core vertebrate genes orthologues. Of these transcripts, 34,980 had a hit against the EggNOG database and 14,983 with the KEGG database. Codon usage bias was identified in processes such as translation and muscle development. By comparing our data with a set of representative fish species, 87.1% of tuna transcripts were included in orthogroups with other species and 5.1% in assembly-specific orthogroups, which were enriched in terms related to muscle and bone development, visual system and ion transport. Following this comparative approach, protein families related to myosin, extracellular matrix and immune system resulted significantly expanded in the Atlantic bluefin tuna. Altogether, these results provide a glimpse of how the Atlantic bluefin tuna might have achieved early physical advantages over competing species in the pelagic environment. The information generated lays the foundation for future research on the more detailed exploration of physiological responses at the molecular level in different larval stages and paves the way to evolutionary studies on the Atlantic bluefin tuna.

Identifiants

pubmed: 33371994
pii: S1874-7787(20)30095-7
doi: 10.1016/j.margen.2020.100834
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

100834

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Luca Marisaldi (L)

Department of Life and Environmental Sciences, Università Politecnica delle Marche, Ancona 60131, Italy.

Danilo Basili (D)

Department of Life and Environmental Sciences, Università Politecnica delle Marche, Ancona 60131, Italy; Centre for Molecular Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.

Giorgia Gioacchini (G)

Department of Life and Environmental Sciences, Università Politecnica delle Marche, Ancona 60131, Italy.

Adriana Canapa (A)

Department of Life and Environmental Sciences, Università Politecnica delle Marche, Ancona 60131, Italy.

Oliana Carnevali (O)

Department of Life and Environmental Sciences, Università Politecnica delle Marche, Ancona 60131, Italy. Electronic address: o.carnevali@univpm.it.

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Classifications MeSH