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Development of a 690 K SNP array in catfish and its application for genetic mapping and validation of the reference genome sequence
Single nucleotide polymorphisms (SNPs) are capable of providing the highest level of genome coverage for genomic and genetic analysis because of their abundance and relatively even distribution in the genome. Such a capacity, however, cannot be achieved without an efficient genotyping platform such...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5228154/ https://www.ncbi.nlm.nih.gov/pubmed/28079141 http://dx.doi.org/10.1038/srep40347 |
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author | Zeng, Qifan Fu, Qiang Li, Yun Waldbieser, Geoff Bosworth, Brian Liu, Shikai Yang, Yujia Bao, Lisui Yuan, Zihao Li, Ning Liu, Zhanjiang |
author_facet | Zeng, Qifan Fu, Qiang Li, Yun Waldbieser, Geoff Bosworth, Brian Liu, Shikai Yang, Yujia Bao, Lisui Yuan, Zihao Li, Ning Liu, Zhanjiang |
author_sort | Zeng, Qifan |
collection | PubMed |
description | Single nucleotide polymorphisms (SNPs) are capable of providing the highest level of genome coverage for genomic and genetic analysis because of their abundance and relatively even distribution in the genome. Such a capacity, however, cannot be achieved without an efficient genotyping platform such as SNP arrays. In this work, we developed a high-density SNP array with 690,662 unique SNPs (herein 690 K array) that were relatively evenly distributed across the entire genome, and covered 98.6% of the reference genome sequence. Here we also report linkage mapping using the 690 K array, which allowed mapping of over 250,000 SNPs on the linkage map, the highest marker density among all the constructed linkage maps. These markers were mapped to 29 linkage groups (LGs) with 30,591 unique marker positions. This linkage map anchored 1,602 scaffolds of the reference genome sequence to LGs, accounting for over 97% of the total genome assembly. A total of 1,007 previously unmapped scaffolds were placed to LGs, allowing validation and in few instances correction of the reference genome sequence assembly. This linkage map should serve as a valuable resource for various genetic and genomic analyses, especially for GWAS and QTL mapping for genes associated with economically important traits. |
format | Online Article Text |
id | pubmed-5228154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52281542017-01-17 Development of a 690 K SNP array in catfish and its application for genetic mapping and validation of the reference genome sequence Zeng, Qifan Fu, Qiang Li, Yun Waldbieser, Geoff Bosworth, Brian Liu, Shikai Yang, Yujia Bao, Lisui Yuan, Zihao Li, Ning Liu, Zhanjiang Sci Rep Article Single nucleotide polymorphisms (SNPs) are capable of providing the highest level of genome coverage for genomic and genetic analysis because of their abundance and relatively even distribution in the genome. Such a capacity, however, cannot be achieved without an efficient genotyping platform such as SNP arrays. In this work, we developed a high-density SNP array with 690,662 unique SNPs (herein 690 K array) that were relatively evenly distributed across the entire genome, and covered 98.6% of the reference genome sequence. Here we also report linkage mapping using the 690 K array, which allowed mapping of over 250,000 SNPs on the linkage map, the highest marker density among all the constructed linkage maps. These markers were mapped to 29 linkage groups (LGs) with 30,591 unique marker positions. This linkage map anchored 1,602 scaffolds of the reference genome sequence to LGs, accounting for over 97% of the total genome assembly. A total of 1,007 previously unmapped scaffolds were placed to LGs, allowing validation and in few instances correction of the reference genome sequence assembly. This linkage map should serve as a valuable resource for various genetic and genomic analyses, especially for GWAS and QTL mapping for genes associated with economically important traits. Nature Publishing Group 2017-01-12 /pmc/articles/PMC5228154/ /pubmed/28079141 http://dx.doi.org/10.1038/srep40347 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Zeng, Qifan Fu, Qiang Li, Yun Waldbieser, Geoff Bosworth, Brian Liu, Shikai Yang, Yujia Bao, Lisui Yuan, Zihao Li, Ning Liu, Zhanjiang Development of a 690 K SNP array in catfish and its application for genetic mapping and validation of the reference genome sequence |
title | Development of a 690 K SNP array in catfish and its application for genetic mapping and validation of the reference genome sequence |
title_full | Development of a 690 K SNP array in catfish and its application for genetic mapping and validation of the reference genome sequence |
title_fullStr | Development of a 690 K SNP array in catfish and its application for genetic mapping and validation of the reference genome sequence |
title_full_unstemmed | Development of a 690 K SNP array in catfish and its application for genetic mapping and validation of the reference genome sequence |
title_short | Development of a 690 K SNP array in catfish and its application for genetic mapping and validation of the reference genome sequence |
title_sort | development of a 690 k snp array in catfish and its application for genetic mapping and validation of the reference genome sequence |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5228154/ https://www.ncbi.nlm.nih.gov/pubmed/28079141 http://dx.doi.org/10.1038/srep40347 |
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