Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Jul 7;7(1):214.
doi: 10.1038/s41597-020-0565-9.

Liver transcriptome resources of four commercially exploited teleost species

Affiliations

Liver transcriptome resources of four commercially exploited teleost species

André M Machado et al. Sci Data. .

Abstract

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.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Schematic overview of the study. (a) Geographic coordinates of sampling, photographs of the collected specimens, taxonomy classification and fishery relevance. (b) Experimental setup used to perform RNA extraction and sequencing. (c) Bioinformatics workflow used to post-sequencing dataset analyses.
Fig. 2
Fig. 2
Quality FastQC report of post-processing RNA-seq datasets (after Centrifuge (version 1.0.3-beta) cleaning stage). For each species, it is presented the R1 and R2 FastQC reports. (a) Trachurus trachurus; (b) Scomber scombrus; (c) Trisopterus luscu; (d) Micromesistius poutassou.

References

    1. Begg, G. A. & Waldman, J. R. An holistic approach to fish stock identification. In Fisheries Research43, 35–44 (Elsevier, 1999).
    1. Cadrin, S. X., Kerr, L. A. & Mariani, S. Stock Identification Methods: An Overview. In Stock Identification Methods: Applications in Fishery Science: Second Edition 1–5 (Elsevier Inc., 2013).
    1. Kelley JL, Brown AP, Therkildsen NO, Foote AD. The life aquatic: advances in marine vertebrate genomics. Nat. Rev. Genet. 2016;17:523–534. doi: 10.1038/nrg.2016.66. - DOI - PubMed
    1. LIMBORG MT, et al. Environmental selection on transcriptome-derived SNPs in a high gene flow marine fish, the Atlantic herring (Clupea harengus) Mol. Ecol. 2012;21:3686–3703. doi: 10.1111/j.1365-294X.2012.05639.x. - DOI - PubMed
    1. Lamichhaney S, et al. Population-scale sequencing reveals genetic differentiation due to local adaptation in Atlantic herring. Proc. Natl. Acad. Sci. U. S. A. 2012;109:19345–50. doi: 10.1073/pnas.1216128109. - DOI - PMC - PubMed

Publication types