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Development of a highly efficient 50K single nucleotide polymorphism genotyping array for the large and complex genome of Norway spruce (Picea abies L. Karst) by whole genome resequencing and its transferability to other spruce species
Norway spruce (Picea abies L. Karst) is one of the most important forest tree species with significant economic and ecological impact in Europe. For decades, genomic and genetic studies on Norway spruce have been challenging due to the large and repetitive genome (19.6 Gb with more than 70% being re...
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Published in: | Molecular ecology resources 2021-04, Vol.21 (3), p.880-896 |
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description | Norway spruce (Picea abies L. Karst) is one of the most important forest tree species with significant economic and ecological impact in Europe. For decades, genomic and genetic studies on Norway spruce have been challenging due to the large and repetitive genome (19.6 Gb with more than 70% being repetitive). To accelerate genomic studies, including population genetics, genome‐wide association studies (GWAS) and genomic selection (GS), in Norway spruce and related species, we here report on the design and performance of a 50K single nucleotide polymorphism (SNP) genotyping array for Norway spruce. The array is developed based on whole genome resequencing (WGS), making it the first WGS‐based SNP array in any conifer species so far. After identifying SNPs using genome resequencing data from 29 trees collected in northern Europe, we adopted a two‐step approach to design the array. First, we built a 450K screening array and used this to genotype a population of 480 trees sampled from both natural and breeding populations across the Norway spruce distribution range. These samples were then used to select high‐confidence probes that were put on the final 50K array. The SNPs selected are distributed over 45,552 scaffolds from the P. abies version 1.0 genome assembly and target 19,954 unique gene models with an even coverage of the 12 linkage groups in Norway spruce. We show that the array has a 99.5% probe specificity, >98% Mendelian allelic inheritance concordance, an average sample call rate of 96.30% and an SNP call rate of 98.90% in family trios and haploid tissues. We also observed that 23,797 probes (50%) could be identified with high confidence in three other spruce species (white spruce [Picea glauca], black spruce [P. mariana] and Sitka spruce [P. sitchensis]). The high‐quality genotyping array will be a valuable resource for genetic and genomic studies in Norway spruce as well as in other conifer species of the same genus. |
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Karst) by whole genome resequencing and its transferability to other spruce species</title><source>Wiley-Blackwell Read & Publish Collection</source><creator>Bernhardsson, Carolina ; Zan, Yanjun ; Chen, Zhiqiang ; Ingvarsson, Pär K. ; Wu, Harry X.</creator><creatorcontrib>Bernhardsson, Carolina ; Zan, Yanjun ; Chen, Zhiqiang ; Ingvarsson, Pär K. ; Wu, Harry X. ; Sveriges lantbruksuniversitet</creatorcontrib><description>Norway spruce (Picea abies L. Karst) is one of the most important forest tree species with significant economic and ecological impact in Europe. For decades, genomic and genetic studies on Norway spruce have been challenging due to the large and repetitive genome (19.6 Gb with more than 70% being repetitive). To accelerate genomic studies, including population genetics, genome‐wide association studies (GWAS) and genomic selection (GS), in Norway spruce and related species, we here report on the design and performance of a 50K single nucleotide polymorphism (SNP) genotyping array for Norway spruce. The array is developed based on whole genome resequencing (WGS), making it the first WGS‐based SNP array in any conifer species so far. After identifying SNPs using genome resequencing data from 29 trees collected in northern Europe, we adopted a two‐step approach to design the array. First, we built a 450K screening array and used this to genotype a population of 480 trees sampled from both natural and breeding populations across the Norway spruce distribution range. These samples were then used to select high‐confidence probes that were put on the final 50K array. The SNPs selected are distributed over 45,552 scaffolds from the P. abies version 1.0 genome assembly and target 19,954 unique gene models with an even coverage of the 12 linkage groups in Norway spruce. We show that the array has a 99.5% probe specificity, >98% Mendelian allelic inheritance concordance, an average sample call rate of 96.30% and an SNP call rate of 98.90% in family trios and haploid tissues. We also observed that 23,797 probes (50%) could be identified with high confidence in three other spruce species (white spruce [Picea glauca], black spruce [P. mariana] and Sitka spruce [P. sitchensis]). The high‐quality genotyping array will be a valuable resource for genetic and genomic studies in Norway spruce as well as in other conifer species of the same genus.</description><identifier>ISSN: 1755-098X</identifier><identifier>ISSN: 1755-0998</identifier><identifier>EISSN: 1755-0998</identifier><identifier>DOI: 10.1111/1755-0998.13292</identifier><identifier>PMID: 33179386</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Arrays ; Breeding ; Coniferous trees ; Conifers ; Coverage ; DNA probes ; Forest Science ; Gene polymorphism ; genetic diversity ; Genetics ; genome resequencing ; Genomes ; genomic selection ; Genotyping ; Heredity ; Impact analysis ; Karst ; Norway spruce ; Nucleotides ; Picea abies ; Pine trees ; Plant species ; Polymorphism ; Population genetics ; Population studies ; Probes ; Resource ; RESOURCE ARTICLES ; Single-nucleotide polymorphism ; Skogsvetenskap ; SNP array ; Species ; Trees</subject><ispartof>Molecular ecology resources, 2021-04, Vol.21 (3), p.880-896</ispartof><rights>2020 The Authors. published by John Wiley & Sons Ltd</rights><rights>2020 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd.</rights><rights>2020. This article is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). 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Karst) by whole genome resequencing and its transferability to other spruce species</title><title>Molecular ecology resources</title><addtitle>Mol Ecol Resour</addtitle><description>Norway spruce (Picea abies L. Karst) is one of the most important forest tree species with significant economic and ecological impact in Europe. For decades, genomic and genetic studies on Norway spruce have been challenging due to the large and repetitive genome (19.6 Gb with more than 70% being repetitive). To accelerate genomic studies, including population genetics, genome‐wide association studies (GWAS) and genomic selection (GS), in Norway spruce and related species, we here report on the design and performance of a 50K single nucleotide polymorphism (SNP) genotyping array for Norway spruce. The array is developed based on whole genome resequencing (WGS), making it the first WGS‐based SNP array in any conifer species so far. After identifying SNPs using genome resequencing data from 29 trees collected in northern Europe, we adopted a two‐step approach to design the array. First, we built a 450K screening array and used this to genotype a population of 480 trees sampled from both natural and breeding populations across the Norway spruce distribution range. These samples were then used to select high‐confidence probes that were put on the final 50K array. The SNPs selected are distributed over 45,552 scaffolds from the P. abies version 1.0 genome assembly and target 19,954 unique gene models with an even coverage of the 12 linkage groups in Norway spruce. We show that the array has a 99.5% probe specificity, >98% Mendelian allelic inheritance concordance, an average sample call rate of 96.30% and an SNP call rate of 98.90% in family trios and haploid tissues. We also observed that 23,797 probes (50%) could be identified with high confidence in three other spruce species (white spruce [Picea glauca], black spruce [P. mariana] and Sitka spruce [P. sitchensis]). 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Karst) by whole genome resequencing and its transferability to other spruce species</atitle><jtitle>Molecular ecology resources</jtitle><addtitle>Mol Ecol Resour</addtitle><date>2021-04</date><risdate>2021</risdate><volume>21</volume><issue>3</issue><spage>880</spage><epage>896</epage><pages>880-896</pages><issn>1755-098X</issn><issn>1755-0998</issn><eissn>1755-0998</eissn><abstract>Norway spruce (Picea abies L. Karst) is one of the most important forest tree species with significant economic and ecological impact in Europe. For decades, genomic and genetic studies on Norway spruce have been challenging due to the large and repetitive genome (19.6 Gb with more than 70% being repetitive). To accelerate genomic studies, including population genetics, genome‐wide association studies (GWAS) and genomic selection (GS), in Norway spruce and related species, we here report on the design and performance of a 50K single nucleotide polymorphism (SNP) genotyping array for Norway spruce. The array is developed based on whole genome resequencing (WGS), making it the first WGS‐based SNP array in any conifer species so far. After identifying SNPs using genome resequencing data from 29 trees collected in northern Europe, we adopted a two‐step approach to design the array. First, we built a 450K screening array and used this to genotype a population of 480 trees sampled from both natural and breeding populations across the Norway spruce distribution range. These samples were then used to select high‐confidence probes that were put on the final 50K array. The SNPs selected are distributed over 45,552 scaffolds from the P. abies version 1.0 genome assembly and target 19,954 unique gene models with an even coverage of the 12 linkage groups in Norway spruce. We show that the array has a 99.5% probe specificity, >98% Mendelian allelic inheritance concordance, an average sample call rate of 96.30% and an SNP call rate of 98.90% in family trios and haploid tissues. We also observed that 23,797 probes (50%) could be identified with high confidence in three other spruce species (white spruce [Picea glauca], black spruce [P. mariana] and Sitka spruce [P. sitchensis]). The high‐quality genotyping array will be a valuable resource for genetic and genomic studies in Norway spruce as well as in other conifer species of the same genus.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>33179386</pmid><doi>10.1111/1755-0998.13292</doi><tpages>0</tpages><orcidid>https://orcid.org/0000-0002-7072-4704</orcidid><orcidid>https://orcid.org/0000-0001-9225-7521</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Arrays Breeding Coniferous trees Conifers Coverage DNA probes Forest Science Gene polymorphism genetic diversity Genetics genome resequencing Genomes genomic selection Genotyping Heredity Impact analysis Karst Norway spruce Nucleotides Picea abies Pine trees Plant species Polymorphism Population genetics Population studies Probes Resource RESOURCE ARTICLES Single-nucleotide polymorphism Skogsvetenskap SNP array Species Trees |
title | Development of a highly efficient 50K single nucleotide polymorphism genotyping array for the large and complex genome of Norway spruce (Picea abies L. Karst) by whole genome resequencing and its transferability to other spruce species |
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