Development of a Medium Density Combined-Species SNP Array for Pacific and European Oysters (Crassostrea gigas and Ostrea edulis)

SNP arrays are enabling tools for high-resolution studies of the genetic basis of complex traits in farmed and wild animals. Oysters are of critical importance in many regions from both an ecological and economic perspective, and oyster aquaculture forms a key component of global food security. The...

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Published in:G3 Genes|Genomes|Genetics
Main Authors: Gutierrez, Alejandro P, Turner, Frances, Gharbi, Karim, Talbot, Richard, Lowe, Natalie R, Peñaloza, Carolina, McCullough, Mark, Prodöhl, Paulo A, Bean, Tim P, Houston, Ross D
Other Authors: Biotechnology and Biological Sciences Research Council, Roslin Institute, University of Edinburgh, Queen's University Belfast, CEFAS - Centre for Environment, Fisheries and Aquaculture Science
Format: Article in Journal/Newspaper
Language:English
Published: Genetics Society of America 2017
Subjects:
Online Access:http://hdl.handle.net/1893/32076
https://doi.org/10.1534/g3.117.041780
http://dspace.stir.ac.uk/bitstream/1893/32076/1/2209.full.pdf
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spelling ftunivstirling:oai:dspace.stir.ac.uk:1893/32076 2023-05-15T15:58:29+02:00 Development of a Medium Density Combined-Species SNP Array for Pacific and European Oysters (Crassostrea gigas and Ostrea edulis) Gutierrez, Alejandro P Turner, Frances Gharbi, Karim Talbot, Richard Lowe, Natalie R Peñaloza, Carolina McCullough, Mark Prodöhl, Paulo A Bean, Tim P Houston, Ross D Biotechnology and Biological Sciences Research Council Roslin Institute University of Edinburgh Queen's University Belfast CEFAS - Centre for Environment, Fisheries and Aquaculture Science 2017-07 application/pdf http://hdl.handle.net/1893/32076 https://doi.org/10.1534/g3.117.041780 http://dspace.stir.ac.uk/bitstream/1893/32076/1/2209.full.pdf en eng Genetics Society of America Gutierrez AP, Turner F, Gharbi K, Talbot R, Lowe NR, Peñaloza C, McCullough M, Prodöhl PA, Bean TP & Houston RD (2017) Development of a Medium Density Combined-Species SNP Array for Pacific and European Oysters (Crassostrea gigas and Ostrea edulis). G3: Genes%7CGenomes%7CGenetics, 7 (7), pp. 2209-2218. https://doi.org/10.1534/g3.117.041780 http://hdl.handle.net/1893/32076 doi:10.1534/g3.117.041780 28533337 WOS:000404991600018 2-s2.0-85021834364 1685010 http://dspace.stir.ac.uk/bitstream/1893/32076/1/2209.full.pdf Copyright © 2017 Gutierrez et al. 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. http://creativecommons.org/licenses/by/4.0/ CC-BY Pacific Oyster Flat Oyster Single Nucleotide Polymorphism (SNP) Array Aquaculture Journal Article VoR - Version of Record 2017 ftunivstirling https://doi.org/10.1534/g3.117.041780 2022-06-13T18:42:05Z SNP arrays are enabling tools for high-resolution studies of the genetic basis of complex traits in farmed and wild animals. Oysters are of critical importance in many regions from both an ecological and economic perspective, and oyster aquaculture forms a key component of global food security. The aim of our study was to design a combined-species, medium density SNP array for Pacific oyster (Crassostrea gigas) and European flat oyster (Ostrea edulis), and to test the performance of this array on farmed and wild populations from multiple locations, with a focus on European populations. SNP discovery was carried out by whole-genome sequencing (WGS) of pooled genomic DNA samples from eight C. gigas populations, and restriction site-associated DNA sequencing (RAD-Seq) of 11 geographically diverse O. edulis populations. Nearly 12 million candidate SNPs were discovered and filtered based on several criteria, including preference for SNPs segregating in multiple populations and SNPs with monomorphic flanking regions. An Affymetrix Axiom Custom Array was created and tested on a diverse set of samples (n = 219) showing ∼27 K high quality SNPs for C. gigas and ∼11 K high quality SNPs for O. edulis segregating in these populations. A high proportion of SNPs were segregating in each of the populations, and the array was used to detect population structure and levels of linkage disequilibrium (LD). Further testing of the array on three C. gigas nuclear families (n = 165) revealed that the array can be used to clearly distinguish between both families based on identity-by-state (IBS) clustering parental assignment software. This medium density, combined-species array will be publicly available through Affymetrix, and will be applied for genome-wide association and evolutionary genetic studies, and for genomic selection in oyster breeding programs. Article in Journal/Newspaper Crassostrea gigas Pacific oyster University of Stirling: Stirling Digital Research Repository Pacific G3 Genes|Genomes|Genetics 7 7 2209 2218
institution Open Polar
collection University of Stirling: Stirling Digital Research Repository
op_collection_id ftunivstirling
language English
topic Pacific Oyster
Flat Oyster
Single Nucleotide Polymorphism (SNP)
Array
Aquaculture
spellingShingle Pacific Oyster
Flat Oyster
Single Nucleotide Polymorphism (SNP)
Array
Aquaculture
Gutierrez, Alejandro P
Turner, Frances
Gharbi, Karim
Talbot, Richard
Lowe, Natalie R
Peñaloza, Carolina
McCullough, Mark
Prodöhl, Paulo A
Bean, Tim P
Houston, Ross D
Development of a Medium Density Combined-Species SNP Array for Pacific and European Oysters (Crassostrea gigas and Ostrea edulis)
topic_facet Pacific Oyster
Flat Oyster
Single Nucleotide Polymorphism (SNP)
Array
Aquaculture
description SNP arrays are enabling tools for high-resolution studies of the genetic basis of complex traits in farmed and wild animals. Oysters are of critical importance in many regions from both an ecological and economic perspective, and oyster aquaculture forms a key component of global food security. The aim of our study was to design a combined-species, medium density SNP array for Pacific oyster (Crassostrea gigas) and European flat oyster (Ostrea edulis), and to test the performance of this array on farmed and wild populations from multiple locations, with a focus on European populations. SNP discovery was carried out by whole-genome sequencing (WGS) of pooled genomic DNA samples from eight C. gigas populations, and restriction site-associated DNA sequencing (RAD-Seq) of 11 geographically diverse O. edulis populations. Nearly 12 million candidate SNPs were discovered and filtered based on several criteria, including preference for SNPs segregating in multiple populations and SNPs with monomorphic flanking regions. An Affymetrix Axiom Custom Array was created and tested on a diverse set of samples (n = 219) showing ∼27 K high quality SNPs for C. gigas and ∼11 K high quality SNPs for O. edulis segregating in these populations. A high proportion of SNPs were segregating in each of the populations, and the array was used to detect population structure and levels of linkage disequilibrium (LD). Further testing of the array on three C. gigas nuclear families (n = 165) revealed that the array can be used to clearly distinguish between both families based on identity-by-state (IBS) clustering parental assignment software. This medium density, combined-species array will be publicly available through Affymetrix, and will be applied for genome-wide association and evolutionary genetic studies, and for genomic selection in oyster breeding programs.
author2 Biotechnology and Biological Sciences Research Council
Roslin Institute
University of Edinburgh
Queen's University Belfast
CEFAS - Centre for Environment, Fisheries and Aquaculture Science
format Article in Journal/Newspaper
author Gutierrez, Alejandro P
Turner, Frances
Gharbi, Karim
Talbot, Richard
Lowe, Natalie R
Peñaloza, Carolina
McCullough, Mark
Prodöhl, Paulo A
Bean, Tim P
Houston, Ross D
author_facet Gutierrez, Alejandro P
Turner, Frances
Gharbi, Karim
Talbot, Richard
Lowe, Natalie R
Peñaloza, Carolina
McCullough, Mark
Prodöhl, Paulo A
Bean, Tim P
Houston, Ross D
author_sort Gutierrez, Alejandro P
title Development of a Medium Density Combined-Species SNP Array for Pacific and European Oysters (Crassostrea gigas and Ostrea edulis)
title_short Development of a Medium Density Combined-Species SNP Array for Pacific and European Oysters (Crassostrea gigas and Ostrea edulis)
title_full Development of a Medium Density Combined-Species SNP Array for Pacific and European Oysters (Crassostrea gigas and Ostrea edulis)
title_fullStr Development of a Medium Density Combined-Species SNP Array for Pacific and European Oysters (Crassostrea gigas and Ostrea edulis)
title_full_unstemmed Development of a Medium Density Combined-Species SNP Array for Pacific and European Oysters (Crassostrea gigas and Ostrea edulis)
title_sort development of a medium density combined-species snp array for pacific and european oysters (crassostrea gigas and ostrea edulis)
publisher Genetics Society of America
publishDate 2017
url http://hdl.handle.net/1893/32076
https://doi.org/10.1534/g3.117.041780
http://dspace.stir.ac.uk/bitstream/1893/32076/1/2209.full.pdf
geographic Pacific
geographic_facet Pacific
genre Crassostrea gigas
Pacific oyster
genre_facet Crassostrea gigas
Pacific oyster
op_relation Gutierrez AP, Turner F, Gharbi K, Talbot R, Lowe NR, Peñaloza C, McCullough M, Prodöhl PA, Bean TP & Houston RD (2017) Development of a Medium Density Combined-Species SNP Array for Pacific and European Oysters (Crassostrea gigas and Ostrea edulis). G3: Genes%7CGenomes%7CGenetics, 7 (7), pp. 2209-2218. https://doi.org/10.1534/g3.117.041780
http://hdl.handle.net/1893/32076
doi:10.1534/g3.117.041780
28533337
WOS:000404991600018
2-s2.0-85021834364
1685010
http://dspace.stir.ac.uk/bitstream/1893/32076/1/2209.full.pdf
op_rights Copyright © 2017 Gutierrez et al. 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.
http://creativecommons.org/licenses/by/4.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.1534/g3.117.041780
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