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The cherry 6+9K SNP array: a cost-effective improvement to the cherry 6K SNP array for genetic studies
Cherry breeding and genetic studies can benefit from genome-wide genetic marker assays. Currently, a 6K SNP array enables genome scans in cherry; however, only a third of these SNPs are informative, with low coverage in many genomic regions. Adding previously detected SNPs to this array could provid...
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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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203174/ https://www.ncbi.nlm.nih.gov/pubmed/32376836 http://dx.doi.org/10.1038/s41598-020-64438-x |
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author | Vanderzande, Stijn Zheng, Ping Cai, Lichun Barac, Goran Gasic, Ksenija Main, Dorrie Iezzoni, Amy Peace, Cameron |
author_facet | Vanderzande, Stijn Zheng, Ping Cai, Lichun Barac, Goran Gasic, Ksenija Main, Dorrie Iezzoni, Amy Peace, Cameron |
author_sort | Vanderzande, Stijn |
collection | PubMed |
description | Cherry breeding and genetic studies can benefit from genome-wide genetic marker assays. Currently, a 6K SNP array enables genome scans in cherry; however, only a third of these SNPs are informative, with low coverage in many genomic regions. Adding previously detected SNPs to this array could provide a cost-efficient upgrade with increased genomic coverage across the 670 cM/352.9 Mb cherry whole genome sequence. For sweet cherry, new SNPs were chosen following a focal point strategy, grouping six to eight SNPs within 10-kb windows with an average of 0.6 cM (627 kb) between focal points. Additional SNPs were chosen to represent important regions. Sweet cherry, the fruticosa subgenome of sour cherry, and cherry organellar genomes were targeted with 6942, 2020, and 38 new SNPs, respectively. The +9K add-on provided 2128, 1091, and 70 new reliable, polymorphic SNPs for sweet cherry and the avium and the fruticosa subgenomes of sour cherry, respectively. For sweet cherry, 1241 reliable polymorphic SNPs formed 237 informative focal points, with another 2504 SNPs in-between. The +9K SNPs increased genetic resolution and genome coverage of the original cherry SNP array and will help increase understanding of the genetic control of key traits and relationships among individuals in cherry. |
format | Online Article Text |
id | pubmed-7203174 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72031742020-05-15 The cherry 6+9K SNP array: a cost-effective improvement to the cherry 6K SNP array for genetic studies Vanderzande, Stijn Zheng, Ping Cai, Lichun Barac, Goran Gasic, Ksenija Main, Dorrie Iezzoni, Amy Peace, Cameron Sci Rep Article Cherry breeding and genetic studies can benefit from genome-wide genetic marker assays. Currently, a 6K SNP array enables genome scans in cherry; however, only a third of these SNPs are informative, with low coverage in many genomic regions. Adding previously detected SNPs to this array could provide a cost-efficient upgrade with increased genomic coverage across the 670 cM/352.9 Mb cherry whole genome sequence. For sweet cherry, new SNPs were chosen following a focal point strategy, grouping six to eight SNPs within 10-kb windows with an average of 0.6 cM (627 kb) between focal points. Additional SNPs were chosen to represent important regions. Sweet cherry, the fruticosa subgenome of sour cherry, and cherry organellar genomes were targeted with 6942, 2020, and 38 new SNPs, respectively. The +9K add-on provided 2128, 1091, and 70 new reliable, polymorphic SNPs for sweet cherry and the avium and the fruticosa subgenomes of sour cherry, respectively. For sweet cherry, 1241 reliable polymorphic SNPs formed 237 informative focal points, with another 2504 SNPs in-between. The +9K SNPs increased genetic resolution and genome coverage of the original cherry SNP array and will help increase understanding of the genetic control of key traits and relationships among individuals in cherry. Nature Publishing Group UK 2020-05-06 /pmc/articles/PMC7203174/ /pubmed/32376836 http://dx.doi.org/10.1038/s41598-020-64438-x 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 Vanderzande, Stijn Zheng, Ping Cai, Lichun Barac, Goran Gasic, Ksenija Main, Dorrie Iezzoni, Amy Peace, Cameron The cherry 6+9K SNP array: a cost-effective improvement to the cherry 6K SNP array for genetic studies |
title | The cherry 6+9K SNP array: a cost-effective improvement to the cherry 6K SNP array for genetic studies |
title_full | The cherry 6+9K SNP array: a cost-effective improvement to the cherry 6K SNP array for genetic studies |
title_fullStr | The cherry 6+9K SNP array: a cost-effective improvement to the cherry 6K SNP array for genetic studies |
title_full_unstemmed | The cherry 6+9K SNP array: a cost-effective improvement to the cherry 6K SNP array for genetic studies |
title_short | The cherry 6+9K SNP array: a cost-effective improvement to the cherry 6K SNP array for genetic studies |
title_sort | cherry 6+9k snp array: a cost-effective improvement to the cherry 6k snp array for genetic studies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203174/ https://www.ncbi.nlm.nih.gov/pubmed/32376836 http://dx.doi.org/10.1038/s41598-020-64438-x |
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