Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/35500
Appears in Collections:Aquaculture Journal Articles
Peer Review Status: Refereed
Title: Development of genomic markers associated to growth-related traits and sex determination in lumpfish (Cyclopterus lumpus)
Author(s): Gutierrez, Alejandro P
Selly, Sarah-Louise Counter
Pountney, Samuel M
Taggart, John B
Kokkinias, Panagiotis
Cavrois-Rogacki, Thomas
Fernandez, Eduardo Jimenez
Migaud, Herve
Lein, Ingrid
Davie, Andrew
Bekaert, Michaël
Contact Email: michael.bekaert@stir.ac.uk
Keywords: Lumpfish
QTL
GWAS
Aquaculture
Issue Date: Nov-2023
Date Deposited: 26-Oct-2023
Citation: Gutierrez AP, Selly SC, Pountney SM, Taggart JB, Kokkinias P, Cavrois-Rogacki T, Fernandez EJ, Migaud H, Lein I, Davie A & Bekaert M (2023) Development of genomic markers associated to growth-related traits and sex determination in lumpfish (Cyclopterus lumpus). <i>Genomics</i>, 115 (6), p. 110721. https://doi.org/10.1016/j.ygeno.2023.110721
Abstract: Cleaner 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.
DOI Link: 10.1016/j.ygeno.2023.110721
Rights: This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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