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A Combined Association Mapping and Linkage Analysis of Kernel Number Per Spike in Common Wheat (Triticum aestivum L.)
Kernel number per spike (KNPS) in wheat is a key factor that limits yield improvement. In this study, we genotyped a set of 264 cultivars, and a RIL population derived from the cross Yangmai 13/C615 using the 90 K wheat iSelect SNP array. We detected 62 significantly associated signals for KNPS at 4...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5563363/ https://www.ncbi.nlm.nih.gov/pubmed/28868056 http://dx.doi.org/10.3389/fpls.2017.01412 |
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author | Shi, Weiping Hao, Chenyang Zhang, Yong Cheng, Jingye Zhang, Zheng Liu, Jian Yi, Xin Cheng, Xiaoming Sun, Daizhen Xu, Yanhao Zhang, Xueyong Cheng, Shunhe Guo, Pingyi Guo, Jie |
author_facet | Shi, Weiping Hao, Chenyang Zhang, Yong Cheng, Jingye Zhang, Zheng Liu, Jian Yi, Xin Cheng, Xiaoming Sun, Daizhen Xu, Yanhao Zhang, Xueyong Cheng, Shunhe Guo, Pingyi Guo, Jie |
author_sort | Shi, Weiping |
collection | PubMed |
description | Kernel number per spike (KNPS) in wheat is a key factor that limits yield improvement. In this study, we genotyped a set of 264 cultivars, and a RIL population derived from the cross Yangmai 13/C615 using the 90 K wheat iSelect SNP array. We detected 62 significantly associated signals for KNPS at 47 single nucleotide polymorphism (SNP) loci through genome-wide association analysis of data obtained from multiple environments. These loci were on 19 chromosomes, and the phenotypic variation attributable to each one ranged from 1.53 to 39.52%. Twelve (25.53%) of the loci were also significantly associated with KNPS in the RIL population grown in multiple environments. For example, BS00022896_51-2A(TT), BobWhite_c10539_201-2D(AA), Excalibur_c73633_120-3B(GG), and Kukri_c35508_426-7D(TT) were significantly associated with KNPS in all environments. Our findings demonstrate the effective integration of association mapping and linkage analysis for KNPS, and underpin KNPS as a target trait for marker-assisted selection and genetic fine mapping. |
format | Online Article Text |
id | pubmed-5563363 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55633632017-09-01 A Combined Association Mapping and Linkage Analysis of Kernel Number Per Spike in Common Wheat (Triticum aestivum L.) Shi, Weiping Hao, Chenyang Zhang, Yong Cheng, Jingye Zhang, Zheng Liu, Jian Yi, Xin Cheng, Xiaoming Sun, Daizhen Xu, Yanhao Zhang, Xueyong Cheng, Shunhe Guo, Pingyi Guo, Jie Front Plant Sci Plant Science Kernel number per spike (KNPS) in wheat is a key factor that limits yield improvement. In this study, we genotyped a set of 264 cultivars, and a RIL population derived from the cross Yangmai 13/C615 using the 90 K wheat iSelect SNP array. We detected 62 significantly associated signals for KNPS at 47 single nucleotide polymorphism (SNP) loci through genome-wide association analysis of data obtained from multiple environments. These loci were on 19 chromosomes, and the phenotypic variation attributable to each one ranged from 1.53 to 39.52%. Twelve (25.53%) of the loci were also significantly associated with KNPS in the RIL population grown in multiple environments. For example, BS00022896_51-2A(TT), BobWhite_c10539_201-2D(AA), Excalibur_c73633_120-3B(GG), and Kukri_c35508_426-7D(TT) were significantly associated with KNPS in all environments. Our findings demonstrate the effective integration of association mapping and linkage analysis for KNPS, and underpin KNPS as a target trait for marker-assisted selection and genetic fine mapping. Frontiers Media S.A. 2017-08-18 /pmc/articles/PMC5563363/ /pubmed/28868056 http://dx.doi.org/10.3389/fpls.2017.01412 Text en Copyright © 2017 Shi, Hao, Zhang, Cheng, Zhang, Liu, Yi, Cheng, Sun, Xu, Zhang, Cheng, Guo and Guo. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Shi, Weiping Hao, Chenyang Zhang, Yong Cheng, Jingye Zhang, Zheng Liu, Jian Yi, Xin Cheng, Xiaoming Sun, Daizhen Xu, Yanhao Zhang, Xueyong Cheng, Shunhe Guo, Pingyi Guo, Jie A Combined Association Mapping and Linkage Analysis of Kernel Number Per Spike in Common Wheat (Triticum aestivum L.) |
title | A Combined Association Mapping and Linkage Analysis of Kernel Number Per Spike in Common Wheat (Triticum aestivum L.) |
title_full | A Combined Association Mapping and Linkage Analysis of Kernel Number Per Spike in Common Wheat (Triticum aestivum L.) |
title_fullStr | A Combined Association Mapping and Linkage Analysis of Kernel Number Per Spike in Common Wheat (Triticum aestivum L.) |
title_full_unstemmed | A Combined Association Mapping and Linkage Analysis of Kernel Number Per Spike in Common Wheat (Triticum aestivum L.) |
title_short | A Combined Association Mapping and Linkage Analysis of Kernel Number Per Spike in Common Wheat (Triticum aestivum L.) |
title_sort | combined association mapping and linkage analysis of kernel number per spike in common wheat (triticum aestivum l.) |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5563363/ https://www.ncbi.nlm.nih.gov/pubmed/28868056 http://dx.doi.org/10.3389/fpls.2017.01412 |
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