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dc.contributor.authorGutierrez, Alejandro P.
dc.contributor.authorSelly, Sarah-Louise Counter
dc.contributor.authorPountney, Samuel M.
dc.contributor.authorTaggart, John B.
dc.contributor.authorKokkinias, Panagiotis
dc.contributor.authorCavrois-Rogacki, Thomas
dc.contributor.authorFernandez, Eduardo Jimenez
dc.contributor.authorMigaud, Herve
dc.contributor.authorLein, Ingrid
dc.contributor.authorDavie, Andrew
dc.contributor.authorBekaert, Michaël
dc.date.accessioned2023-11-07T08:00:15Z
dc.date.available2023-11-07T08:00:15Z
dc.date.created2023-10-11T12:37:24Z
dc.date.issued2023
dc.identifier.citationGenomics. 2023, 115 (6), 1-9.
dc.identifier.issn0888-7543
dc.identifier.urihttps://hdl.handle.net/11250/3100926
dc.description.abstractCleaner fish species have gained great importance in the control of sea lice, among them, lumpfish (Cyclopterus lumpus) has become one of the most popular. Lumpfish life cycle has been closed, and hatchery reproduction is now possible, however, current production is reliant on wild caught broodstock to meet the increasing demand. Selective breeding practices are called to play an important role in the successful breeding of most aquaculture species, including lumpfish. In this study we analysed a lumpfish population for the identification of genomic markers linked to production traits. Sequencing of RAD libraries allowed us to identify, 7193 informative markers within the sampled individuals. Genome wide association analysis for sex, weight, condition factor and standard length was performed. One single major QTL region was identified for sex, while nine QTL regions were detected for weight, and three QTL regions for standard length. A total of 177 SNP markers of interest (from QTL regions) and 399 high Fst SNP markers were combined in a low-density panel, useful to obtain relevant genetic information from lumpfish populations. Moreover, a robust combined subset of 29 SNP markers (10 associated to sex, 14 to weight and 18 to standard length) provided over 90% accuracy in predicting the animal's phenotype by machine learning. Overall, our findings provide significant insights into the genetic control of important traits in lumpfish and deliver important genomic resources that will facilitate the establishment of selective breeding programmes in lumpfish.
dc.language.isoeng
dc.titleDevelopment of genomic markers associated to growth-related traits and sex determination in lumpfish (Cyclopterus lumpus)
dc.title.alternativeDevelopment of genomic markers associated to growth-related traits and sex determination in lumpfish (Cyclopterus lumpus)
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber1-9
dc.source.volume115
dc.source.journalGenomics
dc.source.issue6
dc.identifier.doi10.1016/j.ygeno.2023.110721
dc.identifier.cristin2183716
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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