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Construction of high-density genetic linkage map and identification of flowering-time QTLs in orchardgrass using SSRs and SLAF-seq
Orchardgrass (Dactylis glomerata L.) is one of the most economically important perennial, cool-season forage species grown and pastured worldwide. High-density genetic linkage mapping is a valuable and effective method for exploring complex quantitative traits. In this study, we developed 447,177 ma...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937404/ https://www.ncbi.nlm.nih.gov/pubmed/27389619 http://dx.doi.org/10.1038/srep29345 |
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author | Zhao, Xinxin Huang, Linkai Zhang, Xinquan Wang, Jianping Yan, Defei Li, Ji Tang, Lu Li, Xiaolong Shi, Tongwei |
author_facet | Zhao, Xinxin Huang, Linkai Zhang, Xinquan Wang, Jianping Yan, Defei Li, Ji Tang, Lu Li, Xiaolong Shi, Tongwei |
author_sort | Zhao, Xinxin |
collection | PubMed |
description | Orchardgrass (Dactylis glomerata L.) is one of the most economically important perennial, cool-season forage species grown and pastured worldwide. High-density genetic linkage mapping is a valuable and effective method for exploring complex quantitative traits. In this study, we developed 447,177 markers based on SLAF-seq and used them to perform a comparative genomics analysis. Perennial ryegrass sequences were the most similar (5.02%) to orchardgrass sequences. A high-density linkage map of orchardgrass was constructed using 2,467 SLAF markers and 43 SSRs, which were distributed on seven linkage groups spanning 715.77 cM. The average distance between adjacent markers was 0.37 cM. Based on phenotyping in four environments, 11 potentially significant quantitative trait loci (QTLs) for two target traits–heading date (HD) and flowering time (FT)–were identified and positioned on linkage groups LG1, LG3, and LG5. Significant QTLs explained 8.20–27.00% of the total phenotypic variation, with the LOD ranging from 3.85–12.21. Marker167780 and Marker139469 were associated with FT and HD at the same location (Ya’an) over two different years. The utility of SLAF markers for rapid generation of genetic maps and QTL analysis has been demonstrated for heading date and flowering time in a global forage grass. |
format | Online Article Text |
id | pubmed-4937404 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49374042016-07-13 Construction of high-density genetic linkage map and identification of flowering-time QTLs in orchardgrass using SSRs and SLAF-seq Zhao, Xinxin Huang, Linkai Zhang, Xinquan Wang, Jianping Yan, Defei Li, Ji Tang, Lu Li, Xiaolong Shi, Tongwei Sci Rep Article Orchardgrass (Dactylis glomerata L.) is one of the most economically important perennial, cool-season forage species grown and pastured worldwide. High-density genetic linkage mapping is a valuable and effective method for exploring complex quantitative traits. In this study, we developed 447,177 markers based on SLAF-seq and used them to perform a comparative genomics analysis. Perennial ryegrass sequences were the most similar (5.02%) to orchardgrass sequences. A high-density linkage map of orchardgrass was constructed using 2,467 SLAF markers and 43 SSRs, which were distributed on seven linkage groups spanning 715.77 cM. The average distance between adjacent markers was 0.37 cM. Based on phenotyping in four environments, 11 potentially significant quantitative trait loci (QTLs) for two target traits–heading date (HD) and flowering time (FT)–were identified and positioned on linkage groups LG1, LG3, and LG5. Significant QTLs explained 8.20–27.00% of the total phenotypic variation, with the LOD ranging from 3.85–12.21. Marker167780 and Marker139469 were associated with FT and HD at the same location (Ya’an) over two different years. The utility of SLAF markers for rapid generation of genetic maps and QTL analysis has been demonstrated for heading date and flowering time in a global forage grass. Nature Publishing Group 2016-07-08 /pmc/articles/PMC4937404/ /pubmed/27389619 http://dx.doi.org/10.1038/srep29345 Text en Copyright © 2016, Macmillan Publishers Limited 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 Zhao, Xinxin Huang, Linkai Zhang, Xinquan Wang, Jianping Yan, Defei Li, Ji Tang, Lu Li, Xiaolong Shi, Tongwei Construction of high-density genetic linkage map and identification of flowering-time QTLs in orchardgrass using SSRs and SLAF-seq |
title | Construction of high-density genetic linkage map and identification of flowering-time QTLs in orchardgrass using SSRs and SLAF-seq |
title_full | Construction of high-density genetic linkage map and identification of flowering-time QTLs in orchardgrass using SSRs and SLAF-seq |
title_fullStr | Construction of high-density genetic linkage map and identification of flowering-time QTLs in orchardgrass using SSRs and SLAF-seq |
title_full_unstemmed | Construction of high-density genetic linkage map and identification of flowering-time QTLs in orchardgrass using SSRs and SLAF-seq |
title_short | Construction of high-density genetic linkage map and identification of flowering-time QTLs in orchardgrass using SSRs and SLAF-seq |
title_sort | construction of high-density genetic linkage map and identification of flowering-time qtls in orchardgrass using ssrs and slaf-seq |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937404/ https://www.ncbi.nlm.nih.gov/pubmed/27389619 http://dx.doi.org/10.1038/srep29345 |
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