De novo assembly of the Brown trout (Salmo trutta m. fario) brain and muscle transcriptome: transcript annotation, tissue differential expression profile and SNP discovery

Author

Fibla Palazón, Joan

Oromí Farrús, Neus

Pascual Pons, Mariona

Royo Sánchez-Palencia, José Luis

Palau, Antoni

Fibla, M.

Publication date

2020-12-03T08:49:36Z

2020-12-03T08:49:36Z

2020-11-02



Abstract

Objectives: The Brown trout is a salmonid species with a high commercial value in Europe. Life history and spawning behaviour include resident (Salmo trutta m. fario) and migratory (Salmo trutta m. trutta) ecotypes. The main objective is to apply RNA-seq technology in order to obtain a reference transcriptome of two key tissues, brain and muscle, of the riverine trout Salmo trutta m. fario. Having a reference transcriptome of the resident form will complement genomic resources of salmonid species. Data description: We generate two cDNA libraries from pooled RNA samples, isolated from muscle and brain tissues of adult individuals of Salmo trutta m. fario, which were sequenced by Illumina technology. Raw reads were subjected to de-novo transcriptome assembly using Trinity, and coding regions were predicted by TransDecoder. A final set of 35,049 non-redundant ORF unigenes were annotated. Tissue differential expression analysis was evaluated by Cuffdiff. A False Discovery Rate (FDR) ≤ 0.01 was considered for significant differential expression, allowing to identify key differentially expressed unigenes. Finally, we have identified SNP variants that will be useful tools for population genomic studies.


This study has been supported and financed by the Biodiversity Conservation Plan of ENDESA, S.A. (ENEL Group) to JF.

Document Type

Article
Published version

Language

English

Subjects and keywords

Rnaseq; De novo transcriptome; Brain & muscle transcriptome; SNP discovery; Salmo trutta m. fario

Publisher

BMC

Related items

Reproducció del document publicat a: https://doi.org/10.1186/s13104-020-05351-4

BMC Research Notes, 2020, vol. 13, article number 503

Rights

cc-by, (c) Fibla Palazón, Joan et al., 2020

http://creativecommons.org/licenses/by/4.0/

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