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Development and Validation of an Open Access SNP Array for Nile Tilapia (Oreochromis niloticus)
Tilapia are among the most important farmed fish species worldwide, and are fundamental for the food security of many developing countries. Several genetically improved Nile tilapia (Oreochromis niloticus) strains exist, such as the iconic Genetically Improved Farmed Tilapia (GIFT), and breeding pro...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Genetics Society of America
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7407453/ https://www.ncbi.nlm.nih.gov/pubmed/32532799 http://dx.doi.org/10.1534/g3.120.401343 |
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author | Peñaloza, Carolina Robledo, Diego Barría, Agustin Trịnh, Trọng Quốc Mahmuddin, Mahirah Wiener, Pamela Benzie, John A. H. Houston, Ross D. |
author_facet | Peñaloza, Carolina Robledo, Diego Barría, Agustin Trịnh, Trọng Quốc Mahmuddin, Mahirah Wiener, Pamela Benzie, John A. H. Houston, Ross D. |
author_sort | Peñaloza, Carolina |
collection | PubMed |
description | Tilapia are among the most important farmed fish species worldwide, and are fundamental for the food security of many developing countries. Several genetically improved Nile tilapia (Oreochromis niloticus) strains exist, such as the iconic Genetically Improved Farmed Tilapia (GIFT), and breeding programs typically follow classical pedigree-based selection. The use of genome-wide single-nucleotide polymorphism (SNP) data can enable an understanding of the genetic architecture of economically important traits and the acceleration of genetic gain via genomic selection. Due to the global importance and diversity of Nile tilapia, an open access SNP array would be beneficial for aquaculture research and production. In the current study, a ∼65K SNP array was designed based on SNPs discovered from whole-genome sequence data from a GIFT breeding nucleus population and the overlap with SNP datasets from wild fish populations and several other farmed Nile tilapia strains. The SNP array was applied to clearly distinguish between different tilapia populations across Asia and Africa, with at least ∼30,000 SNPs segregating in each of the diverse population samples tested. It is anticipated that this SNP array will be an enabling tool for population genetics and tilapia breeding research, facilitating consistency and comparison of results across studies. |
format | Online Article Text |
id | pubmed-7407453 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-74074532020-08-19 Development and Validation of an Open Access SNP Array for Nile Tilapia (Oreochromis niloticus) Peñaloza, Carolina Robledo, Diego Barría, Agustin Trịnh, Trọng Quốc Mahmuddin, Mahirah Wiener, Pamela Benzie, John A. H. Houston, Ross D. G3 (Bethesda) Investigations Tilapia are among the most important farmed fish species worldwide, and are fundamental for the food security of many developing countries. Several genetically improved Nile tilapia (Oreochromis niloticus) strains exist, such as the iconic Genetically Improved Farmed Tilapia (GIFT), and breeding programs typically follow classical pedigree-based selection. The use of genome-wide single-nucleotide polymorphism (SNP) data can enable an understanding of the genetic architecture of economically important traits and the acceleration of genetic gain via genomic selection. Due to the global importance and diversity of Nile tilapia, an open access SNP array would be beneficial for aquaculture research and production. In the current study, a ∼65K SNP array was designed based on SNPs discovered from whole-genome sequence data from a GIFT breeding nucleus population and the overlap with SNP datasets from wild fish populations and several other farmed Nile tilapia strains. The SNP array was applied to clearly distinguish between different tilapia populations across Asia and Africa, with at least ∼30,000 SNPs segregating in each of the diverse population samples tested. It is anticipated that this SNP array will be an enabling tool for population genetics and tilapia breeding research, facilitating consistency and comparison of results across studies. Genetics Society of America 2020-06-12 /pmc/articles/PMC7407453/ /pubmed/32532799 http://dx.doi.org/10.1534/g3.120.401343 Text en Copyright © 2020 Penaloza 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 | Investigations Peñaloza, Carolina Robledo, Diego Barría, Agustin Trịnh, Trọng Quốc Mahmuddin, Mahirah Wiener, Pamela Benzie, John A. H. Houston, Ross D. Development and Validation of an Open Access SNP Array for Nile Tilapia (Oreochromis niloticus) |
title | Development and Validation of an Open Access SNP Array for Nile Tilapia (Oreochromis niloticus) |
title_full | Development and Validation of an Open Access SNP Array for Nile Tilapia (Oreochromis niloticus) |
title_fullStr | Development and Validation of an Open Access SNP Array for Nile Tilapia (Oreochromis niloticus) |
title_full_unstemmed | Development and Validation of an Open Access SNP Array for Nile Tilapia (Oreochromis niloticus) |
title_short | Development and Validation of an Open Access SNP Array for Nile Tilapia (Oreochromis niloticus) |
title_sort | development and validation of an open access snp array for nile tilapia (oreochromis niloticus) |
topic | Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7407453/ https://www.ncbi.nlm.nih.gov/pubmed/32532799 http://dx.doi.org/10.1534/g3.120.401343 |
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