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Genome-wide association mapping and accuracy of predictions for amoebic gill disease in Atlantic salmon (Salmo salar)
Amoebic gill disease (AGD) is a parasitic disease caused by the amoeba Paramoeba perurans, which colonizes the gill tissues and causes distress for the host. AGD can cause high morbidity and mortalities in salmonid and non-salmonid fish species. To understand the genetic basis of AGD and improve hea...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7160127/ https://www.ncbi.nlm.nih.gov/pubmed/32296114 http://dx.doi.org/10.1038/s41598-020-63423-8 |
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author | Aslam, Muhammad L. Boison, Solomon A. Lillehammer, Marie Norris, Ashie Gjerde, Bjarne |
author_facet | Aslam, Muhammad L. Boison, Solomon A. Lillehammer, Marie Norris, Ashie Gjerde, Bjarne |
author_sort | Aslam, Muhammad L. |
collection | PubMed |
description | Amoebic gill disease (AGD) is a parasitic disease caused by the amoeba Paramoeba perurans, which colonizes the gill tissues and causes distress for the host. AGD can cause high morbidity and mortalities in salmonid and non-salmonid fish species. To understand the genetic basis of AGD and improve health status of farmed A. salmon, a population of ~ 6,100 individuals belonging to 150 full-sib families was monitored for development of AGD in the sea of Ireland. The population was followed for two rounds of AGD infections, and fish were gill scored to identify severity of disease in first (N = 3,663) and the second (N = 3,511) infection with freshwater treatment after the first gill-scoring. A subset of this gill-scored population (N = 1,141) from 119 full-sib families were genotyped with 57,184 SNPs using custom-made Affymetrix SNP-chip. GWAS analyses were performed which resulted in five significantly associated SNP variants distributed over chromosome 1, 2 and 5. Three candidate genes; c4, tnxb and slc44a4 were found within QTL region of chromosome 2. The tnxb and c4 genes are known to be a part of innate immune system, and may play a role in resistance to AGD. The gain in prediction accuracy obtained by involving genomic information was 9–17% higher than using traditional pedigree information. |
format | Online Article Text |
id | pubmed-7160127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71601272020-04-22 Genome-wide association mapping and accuracy of predictions for amoebic gill disease in Atlantic salmon (Salmo salar) Aslam, Muhammad L. Boison, Solomon A. Lillehammer, Marie Norris, Ashie Gjerde, Bjarne Sci Rep Article Amoebic gill disease (AGD) is a parasitic disease caused by the amoeba Paramoeba perurans, which colonizes the gill tissues and causes distress for the host. AGD can cause high morbidity and mortalities in salmonid and non-salmonid fish species. To understand the genetic basis of AGD and improve health status of farmed A. salmon, a population of ~ 6,100 individuals belonging to 150 full-sib families was monitored for development of AGD in the sea of Ireland. The population was followed for two rounds of AGD infections, and fish were gill scored to identify severity of disease in first (N = 3,663) and the second (N = 3,511) infection with freshwater treatment after the first gill-scoring. A subset of this gill-scored population (N = 1,141) from 119 full-sib families were genotyped with 57,184 SNPs using custom-made Affymetrix SNP-chip. GWAS analyses were performed which resulted in five significantly associated SNP variants distributed over chromosome 1, 2 and 5. Three candidate genes; c4, tnxb and slc44a4 were found within QTL region of chromosome 2. The tnxb and c4 genes are known to be a part of innate immune system, and may play a role in resistance to AGD. The gain in prediction accuracy obtained by involving genomic information was 9–17% higher than using traditional pedigree information. Nature Publishing Group UK 2020-04-15 /pmc/articles/PMC7160127/ /pubmed/32296114 http://dx.doi.org/10.1038/s41598-020-63423-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Aslam, Muhammad L. Boison, Solomon A. Lillehammer, Marie Norris, Ashie Gjerde, Bjarne Genome-wide association mapping and accuracy of predictions for amoebic gill disease in Atlantic salmon (Salmo salar) |
title | Genome-wide association mapping and accuracy of predictions for amoebic gill disease in Atlantic salmon (Salmo salar) |
title_full | Genome-wide association mapping and accuracy of predictions for amoebic gill disease in Atlantic salmon (Salmo salar) |
title_fullStr | Genome-wide association mapping and accuracy of predictions for amoebic gill disease in Atlantic salmon (Salmo salar) |
title_full_unstemmed | Genome-wide association mapping and accuracy of predictions for amoebic gill disease in Atlantic salmon (Salmo salar) |
title_short | Genome-wide association mapping and accuracy of predictions for amoebic gill disease in Atlantic salmon (Salmo salar) |
title_sort | genome-wide association mapping and accuracy of predictions for amoebic gill disease in atlantic salmon (salmo salar) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7160127/ https://www.ncbi.nlm.nih.gov/pubmed/32296114 http://dx.doi.org/10.1038/s41598-020-63423-8 |
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