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A High-Density Genetic Map for Soybean Based on Specific Length Amplified Fragment Sequencing
Soybean is an important oil seed crop, but very few high-density genetic maps have been published for this species. Specific length amplified fragment sequencing (SLAF-seq) is a recently developed high-resolution strategy for large scale de novo discovery and genotyping of single nucleotide polymorp...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4130620/ https://www.ncbi.nlm.nih.gov/pubmed/25118194 http://dx.doi.org/10.1371/journal.pone.0104871 |
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author | Qi, Zhaoming Huang, Long Zhu, Rongsheng Xin, Dawei Liu, Chunyan Han, Xue Jiang, Hongwei Hong, Weiguo Hu, Guohua Zheng, Hongkun Chen, Qingshan |
author_facet | Qi, Zhaoming Huang, Long Zhu, Rongsheng Xin, Dawei Liu, Chunyan Han, Xue Jiang, Hongwei Hong, Weiguo Hu, Guohua Zheng, Hongkun Chen, Qingshan |
author_sort | Qi, Zhaoming |
collection | PubMed |
description | Soybean is an important oil seed crop, but very few high-density genetic maps have been published for this species. Specific length amplified fragment sequencing (SLAF-seq) is a recently developed high-resolution strategy for large scale de novo discovery and genotyping of single nucleotide polymorphisms. SLAF-seq was employed in this study to obtain sufficient markers to construct a high-density genetic map for soybean. In total, 33.10 Gb of data containing 171,001,333 paired-end reads were obtained after preprocessing. The average sequencing depth was 42.29 in the Dongnong594, 56.63 in the Charleston, and 3.92 in each progeny. In total, 164,197 high-quality SLAFs were detected, of which 12,577 SLAFs were polymorphic, and 5,308 of the polymorphic markers met the requirements for use in constructing a genetic map. The final map included 5,308 markers on 20 linkage groups and was 2,655.68 cM in length, with an average distance of 0.5 cM between adjacent markers. To our knowledge, this map has the shortest average distance of adjacent markers for soybean. We report here a high-density genetic map for soybean. The map was constructed using a recombinant inbred line population and the SLAF-seq approach, which allowed the efficient development of a large number of polymorphic markers in a short time. Results of this study will not only provide a platform for gene/quantitative trait loci fine mapping, but will also serve as a reference for molecular breeding of soybean. |
format | Online Article Text |
id | pubmed-4130620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41306202014-08-14 A High-Density Genetic Map for Soybean Based on Specific Length Amplified Fragment Sequencing Qi, Zhaoming Huang, Long Zhu, Rongsheng Xin, Dawei Liu, Chunyan Han, Xue Jiang, Hongwei Hong, Weiguo Hu, Guohua Zheng, Hongkun Chen, Qingshan PLoS One Research Article Soybean is an important oil seed crop, but very few high-density genetic maps have been published for this species. Specific length amplified fragment sequencing (SLAF-seq) is a recently developed high-resolution strategy for large scale de novo discovery and genotyping of single nucleotide polymorphisms. SLAF-seq was employed in this study to obtain sufficient markers to construct a high-density genetic map for soybean. In total, 33.10 Gb of data containing 171,001,333 paired-end reads were obtained after preprocessing. The average sequencing depth was 42.29 in the Dongnong594, 56.63 in the Charleston, and 3.92 in each progeny. In total, 164,197 high-quality SLAFs were detected, of which 12,577 SLAFs were polymorphic, and 5,308 of the polymorphic markers met the requirements for use in constructing a genetic map. The final map included 5,308 markers on 20 linkage groups and was 2,655.68 cM in length, with an average distance of 0.5 cM between adjacent markers. To our knowledge, this map has the shortest average distance of adjacent markers for soybean. We report here a high-density genetic map for soybean. The map was constructed using a recombinant inbred line population and the SLAF-seq approach, which allowed the efficient development of a large number of polymorphic markers in a short time. Results of this study will not only provide a platform for gene/quantitative trait loci fine mapping, but will also serve as a reference for molecular breeding of soybean. Public Library of Science 2014-08-12 /pmc/articles/PMC4130620/ /pubmed/25118194 http://dx.doi.org/10.1371/journal.pone.0104871 Text en © 2014 Qi et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Qi, Zhaoming Huang, Long Zhu, Rongsheng Xin, Dawei Liu, Chunyan Han, Xue Jiang, Hongwei Hong, Weiguo Hu, Guohua Zheng, Hongkun Chen, Qingshan A High-Density Genetic Map for Soybean Based on Specific Length Amplified Fragment Sequencing |
title | A High-Density Genetic Map for Soybean Based on Specific Length Amplified Fragment Sequencing |
title_full | A High-Density Genetic Map for Soybean Based on Specific Length Amplified Fragment Sequencing |
title_fullStr | A High-Density Genetic Map for Soybean Based on Specific Length Amplified Fragment Sequencing |
title_full_unstemmed | A High-Density Genetic Map for Soybean Based on Specific Length Amplified Fragment Sequencing |
title_short | A High-Density Genetic Map for Soybean Based on Specific Length Amplified Fragment Sequencing |
title_sort | high-density genetic map for soybean based on specific length amplified fragment sequencing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4130620/ https://www.ncbi.nlm.nih.gov/pubmed/25118194 http://dx.doi.org/10.1371/journal.pone.0104871 |
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