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Characterization of Genetic Basis on Synergistic Interactions between Root Architecture and Biological Nitrogen Fixation in Soybean
Soybean [Glycine max (L.) Merr] is an important legume crop and its yield largely depends on root architecture (RA) and biological nitrogen fixation (BNF). However, the relationship between RA and BNF, and its genetics behind remain unclear. Here, two soybean genotypes contrasting in RA and their 17...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5572596/ https://www.ncbi.nlm.nih.gov/pubmed/28878798 http://dx.doi.org/10.3389/fpls.2017.01466 |
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author | Yang, Yongqing Zhao, Qingsong Li, Xinxin Ai, Wenqin Liu, Dong Qi, Wandong Zhang, Mengchen Yang, Chunyan Liao, Hong |
author_facet | Yang, Yongqing Zhao, Qingsong Li, Xinxin Ai, Wenqin Liu, Dong Qi, Wandong Zhang, Mengchen Yang, Chunyan Liao, Hong |
author_sort | Yang, Yongqing |
collection | PubMed |
description | Soybean [Glycine max (L.) Merr] is an important legume crop and its yield largely depends on root architecture (RA) and biological nitrogen fixation (BNF). However, the relationship between RA and BNF, and its genetics behind remain unclear. Here, two soybean genotypes contrasting in RA and their 175 F(9:11) recombinant inbred lines (RILs) were evaluated in field. The shallow-root parent, JD12, had better nodulation and higher yield than the deep-root parent, NF58. Strong correlations between shoot dry weight (SDW) and RA or BNF traits existed in the RILs, and the shallow-root group had more and heavier nodules, as well as higher SDW. After inoculating with rhizobia, roots became shallower and bigger, showing strong synergistic interactions between RA and BNF. In total, 70 QTLs were identified for the 21 tested traits. Among them, qBNF-RA-C2, qBNF-RA-O, and qBNF-RA-B1, were newly identified QTLs for BNF and/or RA traits in soybean, which co-located with the QTLs for SDW detected presently, and with the QTLs for yield identified previously. The results together suggest that there are synergistic interactions between RA and BNF, and the QTLs identified here could be used for breeding new soybean varieties with higher yields through optimization of RA traits and BNF capacity. |
format | Online Article Text |
id | pubmed-5572596 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55725962017-09-06 Characterization of Genetic Basis on Synergistic Interactions between Root Architecture and Biological Nitrogen Fixation in Soybean Yang, Yongqing Zhao, Qingsong Li, Xinxin Ai, Wenqin Liu, Dong Qi, Wandong Zhang, Mengchen Yang, Chunyan Liao, Hong Front Plant Sci Plant Science Soybean [Glycine max (L.) Merr] is an important legume crop and its yield largely depends on root architecture (RA) and biological nitrogen fixation (BNF). However, the relationship between RA and BNF, and its genetics behind remain unclear. Here, two soybean genotypes contrasting in RA and their 175 F(9:11) recombinant inbred lines (RILs) were evaluated in field. The shallow-root parent, JD12, had better nodulation and higher yield than the deep-root parent, NF58. Strong correlations between shoot dry weight (SDW) and RA or BNF traits existed in the RILs, and the shallow-root group had more and heavier nodules, as well as higher SDW. After inoculating with rhizobia, roots became shallower and bigger, showing strong synergistic interactions between RA and BNF. In total, 70 QTLs were identified for the 21 tested traits. Among them, qBNF-RA-C2, qBNF-RA-O, and qBNF-RA-B1, were newly identified QTLs for BNF and/or RA traits in soybean, which co-located with the QTLs for SDW detected presently, and with the QTLs for yield identified previously. The results together suggest that there are synergistic interactions between RA and BNF, and the QTLs identified here could be used for breeding new soybean varieties with higher yields through optimization of RA traits and BNF capacity. Frontiers Media S.A. 2017-08-23 /pmc/articles/PMC5572596/ /pubmed/28878798 http://dx.doi.org/10.3389/fpls.2017.01466 Text en Copyright © 2017 Yang, Zhao, Li, Ai, Liu, Qi, Zhang, Yang and Liao. 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 Yang, Yongqing Zhao, Qingsong Li, Xinxin Ai, Wenqin Liu, Dong Qi, Wandong Zhang, Mengchen Yang, Chunyan Liao, Hong Characterization of Genetic Basis on Synergistic Interactions between Root Architecture and Biological Nitrogen Fixation in Soybean |
title | Characterization of Genetic Basis on Synergistic Interactions between Root Architecture and Biological Nitrogen Fixation in Soybean |
title_full | Characterization of Genetic Basis on Synergistic Interactions between Root Architecture and Biological Nitrogen Fixation in Soybean |
title_fullStr | Characterization of Genetic Basis on Synergistic Interactions between Root Architecture and Biological Nitrogen Fixation in Soybean |
title_full_unstemmed | Characterization of Genetic Basis on Synergistic Interactions between Root Architecture and Biological Nitrogen Fixation in Soybean |
title_short | Characterization of Genetic Basis on Synergistic Interactions between Root Architecture and Biological Nitrogen Fixation in Soybean |
title_sort | characterization of genetic basis on synergistic interactions between root architecture and biological nitrogen fixation in soybean |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5572596/ https://www.ncbi.nlm.nih.gov/pubmed/28878798 http://dx.doi.org/10.3389/fpls.2017.01466 |
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