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Combined Linkage Mapping and BSA to Identify QTL and Candidate Genes for Plant Height and the Number of Nodes on the Main Stem in Soybean
Soybean is one of the most important food and oil crops in the world. Plant height (PH) and the number of nodes on the main stem (NNMS) are quantitative traits closely related to soybean yield. In this study, we used 208 chromosome segment substitution lines (CSSL) populations constructed using “SN1...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981803/ https://www.ncbi.nlm.nih.gov/pubmed/31861685 http://dx.doi.org/10.3390/ijms21010042 |
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author | Li, Ruichao Jiang, Hongwei Zhang, Zhanguo Zhao, Yuanyuan Xie, Jianguo Wang, Qiao Zheng, Haiyang Hou, Lilong Xiong, Xin Xin, Dawei Hu, Zhenbang Liu, Chunyan Wu, Xiaoxia Chen, Qingshan |
author_facet | Li, Ruichao Jiang, Hongwei Zhang, Zhanguo Zhao, Yuanyuan Xie, Jianguo Wang, Qiao Zheng, Haiyang Hou, Lilong Xiong, Xin Xin, Dawei Hu, Zhenbang Liu, Chunyan Wu, Xiaoxia Chen, Qingshan |
author_sort | Li, Ruichao |
collection | PubMed |
description | Soybean is one of the most important food and oil crops in the world. Plant height (PH) and the number of nodes on the main stem (NNMS) are quantitative traits closely related to soybean yield. In this study, we used 208 chromosome segment substitution lines (CSSL) populations constructed using “SN14” and “ZYD00006” for quantitative trait locus (QTL) mapping of PH and NNMS. Combined with bulked segregant analysis (BSA) by extreme materials, 8 consistent QTLs were identified. According to the gene annotation of the QTL interval, a total of 335 genes were obtained. Five of which were associated with PH and NNMS, potentially representing candidate genes. RT-qPCR of these 5 candidate genes revealed two genes with differential relative expression levels in the stems of different materials. Haplotype analysis showed that different single nucleotide polymorphisms (SNPs) between the excellent haplotypes in Glyma.04G251900 and Glyma.16G156700 may be the cause of changes in these traits. These results provide the basis for research on candidate genes and marker-assisted selection (MAS) in soybean breeding. |
format | Online Article Text |
id | pubmed-6981803 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69818032020-02-07 Combined Linkage Mapping and BSA to Identify QTL and Candidate Genes for Plant Height and the Number of Nodes on the Main Stem in Soybean Li, Ruichao Jiang, Hongwei Zhang, Zhanguo Zhao, Yuanyuan Xie, Jianguo Wang, Qiao Zheng, Haiyang Hou, Lilong Xiong, Xin Xin, Dawei Hu, Zhenbang Liu, Chunyan Wu, Xiaoxia Chen, Qingshan Int J Mol Sci Article Soybean is one of the most important food and oil crops in the world. Plant height (PH) and the number of nodes on the main stem (NNMS) are quantitative traits closely related to soybean yield. In this study, we used 208 chromosome segment substitution lines (CSSL) populations constructed using “SN14” and “ZYD00006” for quantitative trait locus (QTL) mapping of PH and NNMS. Combined with bulked segregant analysis (BSA) by extreme materials, 8 consistent QTLs were identified. According to the gene annotation of the QTL interval, a total of 335 genes were obtained. Five of which were associated with PH and NNMS, potentially representing candidate genes. RT-qPCR of these 5 candidate genes revealed two genes with differential relative expression levels in the stems of different materials. Haplotype analysis showed that different single nucleotide polymorphisms (SNPs) between the excellent haplotypes in Glyma.04G251900 and Glyma.16G156700 may be the cause of changes in these traits. These results provide the basis for research on candidate genes and marker-assisted selection (MAS) in soybean breeding. MDPI 2019-12-19 /pmc/articles/PMC6981803/ /pubmed/31861685 http://dx.doi.org/10.3390/ijms21010042 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Ruichao Jiang, Hongwei Zhang, Zhanguo Zhao, Yuanyuan Xie, Jianguo Wang, Qiao Zheng, Haiyang Hou, Lilong Xiong, Xin Xin, Dawei Hu, Zhenbang Liu, Chunyan Wu, Xiaoxia Chen, Qingshan Combined Linkage Mapping and BSA to Identify QTL and Candidate Genes for Plant Height and the Number of Nodes on the Main Stem in Soybean |
title | Combined Linkage Mapping and BSA to Identify QTL and Candidate Genes for Plant Height and the Number of Nodes on the Main Stem in Soybean |
title_full | Combined Linkage Mapping and BSA to Identify QTL and Candidate Genes for Plant Height and the Number of Nodes on the Main Stem in Soybean |
title_fullStr | Combined Linkage Mapping and BSA to Identify QTL and Candidate Genes for Plant Height and the Number of Nodes on the Main Stem in Soybean |
title_full_unstemmed | Combined Linkage Mapping and BSA to Identify QTL and Candidate Genes for Plant Height and the Number of Nodes on the Main Stem in Soybean |
title_short | Combined Linkage Mapping and BSA to Identify QTL and Candidate Genes for Plant Height and the Number of Nodes on the Main Stem in Soybean |
title_sort | combined linkage mapping and bsa to identify qtl and candidate genes for plant height and the number of nodes on the main stem in soybean |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981803/ https://www.ncbi.nlm.nih.gov/pubmed/31861685 http://dx.doi.org/10.3390/ijms21010042 |
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