Blar i Brage NMBU på forfatter "Robledo, Diego"
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A genome-wide association study, supported by a new chromosome-level genome assembly, suggests sox2 as a main driver of the undifferentiatiated ZZ/ZW sex determination of turbot (Scophthalmus maximus)
Martínez, Paulino; Robledo, Diego; Taboada, Xoana; Blanco, Andrés; Moser, Michel; Maroso, Francesco; Hermida, Miguel; Gómez-Tato, Antonio; Álvarez-Blázquez, Blanca; Cabaleiro, Santiago; Piferrer, Francesc; Bouza, Carmen; Lien, Sigbjørn; Viñas, Ana M. (Peer reviewed; Journal article, 2021) -
From FAANG to fork: application of highly annotated genomes to improve farmed animal production
Clark, Emily L; Archibald, Alan L.; Daetwyler, Hans D.; Groenen, Martien A. M.; Harrison, Peter W.; Houston, Ross D.; Kühn, Christa; Lien, Sigbjørn; Macqueen, Daniel J.; Reecy, James M.; Robledo, Diego; Watson, Mick; Tuggle, Christopher K.; Giuffra, Elisabetta (Peer reviewed; Journal article, 2020) -
Non-synonymous variation and protein structure of candidate genes associated with selection in farm and wild populations of turbot (Scophthalmus maximus)
Andersen, Øivind; Rubiolo, Juan Andrés; Pirolli, Davide; Aramburu, Oscar; Pampín, Marina; Righino, Benedetta; Robledo, Diego; Bouza, Carmen; De Rosa, Maria Cristina; Martínez, Paulino (Peer reviewed; Journal article, 2023) -
The structural variation landscape in 492 Atlantic salmon genomes
Bertolotti, Alicia C.; Layer, Ryan M.; Gundappa, Manu Kumar; Gallagher, Michael D.; Pehlivanoglu, Ege; Nome, Torfinn; Robledo, Diego; Kent, Matthew Peter; Røsæg, Line Lieblein; Holen, Matilde Mengkrog; Mulugeta, Teshome Dagne; Ashton, Thomas J.; Hindar, Kjetil; Sægrov, Harald; Florø-Larsen, Bjørn; Erkinaro, Jaakko; Primmer, Craig R.; Bernatchez, Louis; Martin, Samuel A.M.; Johnston, Ian A.; Sandve, Simen Rød; Lien, Sigbjørn; Macqueen, Daniel J. (Peer reviewed; Journal article, 2020)Structural variants (SVs) are a major source of genetic and phenotypic variation, but remain challenging to accurately type and are hence poorly characterized in most species. We present an approach for reliable SV discovery ...