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Genome-Wide Association and Genomic Selection for Resistance to Amoebic Gill Disease in Atlantic Salmon
Amoebic gill disease (AGD) is one of the largest threats to salmon aquaculture, causing serious economic and animal welfare burden. Treatments can be expensive and environmentally damaging, hence the need for alternative strategies. Breeding for disease resistance can contribute to prevention and co...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5873910/ https://www.ncbi.nlm.nih.gov/pubmed/29420190 http://dx.doi.org/10.1534/g3.118.200075 |
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author | Robledo, Diego Matika, Oswald Hamilton, Alastair Houston, Ross D. |
author_facet | Robledo, Diego Matika, Oswald Hamilton, Alastair Houston, Ross D. |
author_sort | Robledo, Diego |
collection | PubMed |
description | Amoebic gill disease (AGD) is one of the largest threats to salmon aquaculture, causing serious economic and animal welfare burden. Treatments can be expensive and environmentally damaging, hence the need for alternative strategies. Breeding for disease resistance can contribute to prevention and control of AGD, providing long-term cumulative benefits in selected stocks. The use of genomic selection can expedite selection for disease resistance due to improved accuracy compared to pedigree-based approaches. The aim of this work was to quantify and characterize genetic variation in AGD resistance in salmon, the genetic architecture of the trait, and the potential of genomic selection to contribute to disease control. An AGD challenge was performed in ∼1,500 Atlantic salmon, using gill damage and amoebic load as indicator traits for host resistance. Both traits are heritable (h(2) ∼0.25-0.30) and show high positive correlation, indicating they may be good measurements of host resistance to AGD. While the genetic architecture of resistance appeared to be largely polygenic in nature, two regions on chromosome 18 showed suggestive association with both AGD resistance traits. Using a cross-validation approach, genomic prediction accuracy was up to 18% higher than that obtained using pedigree, and a reduction in marker density to ∼2,000 SNPs was sufficient to obtain accuracies similar to those obtained using the whole dataset. This study indicates that resistance to AGD is a suitable trait for genomic selection, and the addition of this trait to Atlantic salmon breeding programs can lead to more resistant stocks. |
format | Online Article Text |
id | pubmed-5873910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-58739102018-03-30 Genome-Wide Association and Genomic Selection for Resistance to Amoebic Gill Disease in Atlantic Salmon Robledo, Diego Matika, Oswald Hamilton, Alastair Houston, Ross D. G3 (Bethesda) Genomic Selection Amoebic gill disease (AGD) is one of the largest threats to salmon aquaculture, causing serious economic and animal welfare burden. Treatments can be expensive and environmentally damaging, hence the need for alternative strategies. Breeding for disease resistance can contribute to prevention and control of AGD, providing long-term cumulative benefits in selected stocks. The use of genomic selection can expedite selection for disease resistance due to improved accuracy compared to pedigree-based approaches. The aim of this work was to quantify and characterize genetic variation in AGD resistance in salmon, the genetic architecture of the trait, and the potential of genomic selection to contribute to disease control. An AGD challenge was performed in ∼1,500 Atlantic salmon, using gill damage and amoebic load as indicator traits for host resistance. Both traits are heritable (h(2) ∼0.25-0.30) and show high positive correlation, indicating they may be good measurements of host resistance to AGD. While the genetic architecture of resistance appeared to be largely polygenic in nature, two regions on chromosome 18 showed suggestive association with both AGD resistance traits. Using a cross-validation approach, genomic prediction accuracy was up to 18% higher than that obtained using pedigree, and a reduction in marker density to ∼2,000 SNPs was sufficient to obtain accuracies similar to those obtained using the whole dataset. This study indicates that resistance to AGD is a suitable trait for genomic selection, and the addition of this trait to Atlantic salmon breeding programs can lead to more resistant stocks. Genetics Society of America 2018-02-02 /pmc/articles/PMC5873910/ /pubmed/29420190 http://dx.doi.org/10.1534/g3.118.200075 Text en Copyright © 2018 Robledo et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Genomic Selection Robledo, Diego Matika, Oswald Hamilton, Alastair Houston, Ross D. Genome-Wide Association and Genomic Selection for Resistance to Amoebic Gill Disease in Atlantic Salmon |
title | Genome-Wide Association and Genomic Selection for Resistance to Amoebic Gill Disease in Atlantic Salmon |
title_full | Genome-Wide Association and Genomic Selection for Resistance to Amoebic Gill Disease in Atlantic Salmon |
title_fullStr | Genome-Wide Association and Genomic Selection for Resistance to Amoebic Gill Disease in Atlantic Salmon |
title_full_unstemmed | Genome-Wide Association and Genomic Selection for Resistance to Amoebic Gill Disease in Atlantic Salmon |
title_short | Genome-Wide Association and Genomic Selection for Resistance to Amoebic Gill Disease in Atlantic Salmon |
title_sort | genome-wide association and genomic selection for resistance to amoebic gill disease in atlantic salmon |
topic | Genomic Selection |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5873910/ https://www.ncbi.nlm.nih.gov/pubmed/29420190 http://dx.doi.org/10.1534/g3.118.200075 |
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