Structural variant landscape provides insights into genome organisation and domestication in European seabass.
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| Title: | Structural variant landscape provides insights into genome organisation and domestication in European seabass. |
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| Authors: | Jiao Z; The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK., Mukiibi R; The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK.; Department of Animal Health Behaviour and Welfare, Harper Adams University, Edgmond, Newport, TF10 8NB, England., Gundappa MK; The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK.; Present Address: Animal Breeding and Genomics, Wageningen University and Research, P.O. Box 338, Wageningen, 6700 AH, The Netherlands., Babbucci M; Department of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro, PD, Italy., Prendergast JGD; The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK., Robledo D; The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK.; Department of Zoology, Genetics and Physical Anthropology, Universidade de Santiago de Compostela, 15706, Santiago de Compostela, Spain., Bargelloni L; Department of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro, PD, Italy., Macqueen DJ; The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK. daniel.macqueen@roslin.ed.ac.uk. |
| Source: | BMC biology [BMC Biol] 2025 Oct 01; Vol. 23 (1), pp. 288. Date of Electronic Publication: 2025 Oct 01. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101190720 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-7007 (Electronic) Linking ISSN: 17417007 NLM ISO Abbreviation: BMC Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1741-7007 |
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| DOI: | 10.1186/s12915-025-02404-7 |
