Genotyping Strategies Using ddRAD Sequencing in Farmed Arctic Charr (Salvelinus alpinus)

Incorporation of genomic technologies into fish breeding programs is a modern reality, promising substantial advances regarding the accuracy of selection, monitoring the genetic diversity and pedigree record verification. Single nucleotide polymorphism (SNP) arrays are the most commonly used genomic...

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Published in:Animals
Main Authors: Fotis Pappas, Christos Palaiokostas
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
Subjects:
GBS
Online Access:https://doi.org/10.3390/ani11030899
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spelling ftmdpi:oai:mdpi.com:/2076-2615/11/3/899/ 2023-08-20T04:03:16+02:00 Genotyping Strategies Using ddRAD Sequencing in Farmed Arctic Charr (Salvelinus alpinus) Fotis Pappas Christos Palaiokostas agris 2021-03-21 application/pdf https://doi.org/10.3390/ani11030899 EN eng Multidisciplinary Digital Publishing Institute Aquatic Animals https://dx.doi.org/10.3390/ani11030899 https://creativecommons.org/licenses/by/4.0/ Animals; Volume 11; Issue 3; Pages: 899 reduced representation sequencing Salvelinus alpinus selective breeding GBS salmonid Text 2021 ftmdpi https://doi.org/10.3390/ani11030899 2023-08-01T01:20:08Z Incorporation of genomic technologies into fish breeding programs is a modern reality, promising substantial advances regarding the accuracy of selection, monitoring the genetic diversity and pedigree record verification. Single nucleotide polymorphism (SNP) arrays are the most commonly used genomic tool, but the investments required make them unsustainable for emerging species, such as Arctic charr (Salvelinus alpinus), where production volume is low. The requirement to genotype a large number of animals for breeding practices necessitates cost effective genotyping approaches. In the current study, we used double digest restriction site-associated DNA (ddRAD) sequencing of either high or low coverage to genotype Arctic charr from the Swedish national breeding program and performed analytical procedures to assess their utility in a range of tasks. SNPs were identified and used for deciphering the genetic structure of the studied population, estimating genomic relationships and implementing an association study for growth-related traits. Missing information and underestimation of heterozygosity in the low coverage set were limiting factors in genetic diversity and genomic relationship analyses, where high coverage performed notably better. On the other hand, the high coverage dataset proved to be valuable when it comes to identifying loci that are associated with phenotypic traits of interest. In general, both genotyping strategies offer sustainable alternatives to hybridization-based genotyping platforms and show potential for applications in aquaculture selective breeding. Text Arctic charr Arctic Salvelinus alpinus MDPI Open Access Publishing Arctic Animals 11 3 899
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic reduced representation sequencing
Salvelinus alpinus
selective breeding
GBS
salmonid
spellingShingle reduced representation sequencing
Salvelinus alpinus
selective breeding
GBS
salmonid
Fotis Pappas
Christos Palaiokostas
Genotyping Strategies Using ddRAD Sequencing in Farmed Arctic Charr (Salvelinus alpinus)
topic_facet reduced representation sequencing
Salvelinus alpinus
selective breeding
GBS
salmonid
description Incorporation of genomic technologies into fish breeding programs is a modern reality, promising substantial advances regarding the accuracy of selection, monitoring the genetic diversity and pedigree record verification. Single nucleotide polymorphism (SNP) arrays are the most commonly used genomic tool, but the investments required make them unsustainable for emerging species, such as Arctic charr (Salvelinus alpinus), where production volume is low. The requirement to genotype a large number of animals for breeding practices necessitates cost effective genotyping approaches. In the current study, we used double digest restriction site-associated DNA (ddRAD) sequencing of either high or low coverage to genotype Arctic charr from the Swedish national breeding program and performed analytical procedures to assess their utility in a range of tasks. SNPs were identified and used for deciphering the genetic structure of the studied population, estimating genomic relationships and implementing an association study for growth-related traits. Missing information and underestimation of heterozygosity in the low coverage set were limiting factors in genetic diversity and genomic relationship analyses, where high coverage performed notably better. On the other hand, the high coverage dataset proved to be valuable when it comes to identifying loci that are associated with phenotypic traits of interest. In general, both genotyping strategies offer sustainable alternatives to hybridization-based genotyping platforms and show potential for applications in aquaculture selective breeding.
format Text
author Fotis Pappas
Christos Palaiokostas
author_facet Fotis Pappas
Christos Palaiokostas
author_sort Fotis Pappas
title Genotyping Strategies Using ddRAD Sequencing in Farmed Arctic Charr (Salvelinus alpinus)
title_short Genotyping Strategies Using ddRAD Sequencing in Farmed Arctic Charr (Salvelinus alpinus)
title_full Genotyping Strategies Using ddRAD Sequencing in Farmed Arctic Charr (Salvelinus alpinus)
title_fullStr Genotyping Strategies Using ddRAD Sequencing in Farmed Arctic Charr (Salvelinus alpinus)
title_full_unstemmed Genotyping Strategies Using ddRAD Sequencing in Farmed Arctic Charr (Salvelinus alpinus)
title_sort genotyping strategies using ddrad sequencing in farmed arctic charr (salvelinus alpinus)
publisher Multidisciplinary Digital Publishing Institute
publishDate 2021
url https://doi.org/10.3390/ani11030899
op_coverage agris
geographic Arctic
geographic_facet Arctic
genre Arctic charr
Arctic
Salvelinus alpinus
genre_facet Arctic charr
Arctic
Salvelinus alpinus
op_source Animals; Volume 11; Issue 3; Pages: 899
op_relation Aquatic Animals
https://dx.doi.org/10.3390/ani11030899
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/ani11030899
container_title Animals
container_volume 11
container_issue 3
container_start_page 899
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