Siberian sturgeon multi-tissue reference transcriptome database

• Published in: Database
• Main Authors: Klopp, Christophe, Cabau, Cédric, Greif, Gonzalo, Lasalle, André, Di Landro, Santiago, Vizziano-Cantonnet, Denise
• Other Authors: Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse ENSAT -Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Molecular Biology / Biología Molecular Montevideo, Institut Pasteur de Montevideo, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Universidad de la República (UDELAR), Comision Sectorial de Investigacion Cientifica (CSIC), Universidad de la Republica Oriental del Uruguay (C225-348), Agencia Nacional de Investigacion e Innovacion-Direccion Nacional de Recursos Acuaticos ANIIDINARA (FPA 9 975), Agencia Nacional de Investigacion e Innovacion (FMV_1_2017_1_135 908)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2020
• Subjects: Siberian sturgeon; Transcriptome; [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry; Molecular Biology/Genomics [q-bio.GN]; [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]
• Online Access: https://hal.inrae.fr/hal-03157672; https://hal.inrae.fr/hal-03157672/document; https://hal.inrae.fr/hal-03157672/file/2020_Klopp_Database.pdf; https://doi.org/10.1093/database/baaa082

International audience Motivation: Siberian sturgeon is a long lived and late maturing fish farmed for caviar production in 50 countries. Functional genomics enable to find genes of interest for fish farming. In the absence of a reference genome, a reference transcriptome is very useful for sequencing based functional studies. Results: We present here a high-quality transcriptome assembly database built using RNA-seq reads coming from brain, pituitary, gonadal, liver, stomach, kidney, anterior kidney, heart, embryonic and pre-larval tissues. It will facilitate crucial research on topics such as puberty, reproduction, growth, food intake and immunology. This database represents a major contribution to the publicly available sturgeon transcriptome reference datasets.