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A major quantitative trait locus for wheat total root length associated with precipitation distribution
Optimizing root system architecture (RSA) allows crops to better capture water and nutrients and adapt to harsh environment. Parental reproductive environment (PRE) has been reported to significantly affect growth and development throughout the life cycle of the next generation. In this study, 10 RS...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9451531/ https://www.ncbi.nlm.nih.gov/pubmed/36092437 http://dx.doi.org/10.3389/fpls.2022.995183 |
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author | Chen, Huangxin Wei, Jiatai Tian, Rong Zeng, Zhaoyong Tang, Huaping Liu, Yanlin Xu, Qiang Deng, Mei Jiang, Qiantao Chen, Guoyue Liu, Yaxi Li, Wei Qi, Pengfei Jiang, Yunfeng Jiang, Yun Tang, Liwei Wei, Yuming Zheng, Youliang Lan, Xiujin Ma, Jian |
author_facet | Chen, Huangxin Wei, Jiatai Tian, Rong Zeng, Zhaoyong Tang, Huaping Liu, Yanlin Xu, Qiang Deng, Mei Jiang, Qiantao Chen, Guoyue Liu, Yaxi Li, Wei Qi, Pengfei Jiang, Yunfeng Jiang, Yun Tang, Liwei Wei, Yuming Zheng, Youliang Lan, Xiujin Ma, Jian |
author_sort | Chen, Huangxin |
collection | PubMed |
description | Optimizing root system architecture (RSA) allows crops to better capture water and nutrients and adapt to harsh environment. Parental reproductive environment (PRE) has been reported to significantly affect growth and development throughout the life cycle of the next generation. In this study, 10 RSA-related traits were evaluated in seedling stage from five independent hydroponic tests using seeds harvested from five different PREs. Based on the Wheat55K SNP array-based genetic map, quantitative trait loci (QTL) for these traits were detected in a recombinant inbred line population. Twenty-eight putative QTL for RSA-related traits were detected, covering thirteen chromosomal regions. A major QTL, QTrl.sicau-2SY-4D for total root length (TRL), which was likely independent of PREs, explained 15.81–38.48% of phenotypic variations and was located at 14.96–19.59 Mb on chromosome arm 4DS. Interestingly, it showed pleiotropic effects on TRL, root area, root volume, root forks, root dry weight, and shoot dry weight. The functional marker KASP-Rht-D1 for Rht-D1 was used to genotype 2SY population and remapping QTL for TRL showed that QTrl.sicau-2SY-4D was not linked to Rht-D1. The kompetitive allele-specific PCR (KASP) marker, KASP-AX-110527441 linked to this major QTL, was developed and used to successfully validate its effect in three different genetic populations. Further analysis suggested that the positive allele at QTrl.sicau-2SY-4D was mainly utilized in wheat breeding of northwest China where precipitation was significantly lower, indicating that wheat requires longer TRL to capture water and nutrients in arid or semi-arid regions due to deficient precipitation. Additionally, four genes (TraesCS4D03G0059800, TraesCS4D03G0057800, TraesCS4D03G0064000, and TraesCS4D03G0064400) possibly related to root development were predicted in physical interval of QTrl.sicau-2SY-4D. Taken together, these results enrich our understanding on the genetic basis of RSA and provide a potentially valuable TRL QTL for wheat breeding. |
format | Online Article Text |
id | pubmed-9451531 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94515312022-09-08 A major quantitative trait locus for wheat total root length associated with precipitation distribution Chen, Huangxin Wei, Jiatai Tian, Rong Zeng, Zhaoyong Tang, Huaping Liu, Yanlin Xu, Qiang Deng, Mei Jiang, Qiantao Chen, Guoyue Liu, Yaxi Li, Wei Qi, Pengfei Jiang, Yunfeng Jiang, Yun Tang, Liwei Wei, Yuming Zheng, Youliang Lan, Xiujin Ma, Jian Front Plant Sci Plant Science Optimizing root system architecture (RSA) allows crops to better capture water and nutrients and adapt to harsh environment. Parental reproductive environment (PRE) has been reported to significantly affect growth and development throughout the life cycle of the next generation. In this study, 10 RSA-related traits were evaluated in seedling stage from five independent hydroponic tests using seeds harvested from five different PREs. Based on the Wheat55K SNP array-based genetic map, quantitative trait loci (QTL) for these traits were detected in a recombinant inbred line population. Twenty-eight putative QTL for RSA-related traits were detected, covering thirteen chromosomal regions. A major QTL, QTrl.sicau-2SY-4D for total root length (TRL), which was likely independent of PREs, explained 15.81–38.48% of phenotypic variations and was located at 14.96–19.59 Mb on chromosome arm 4DS. Interestingly, it showed pleiotropic effects on TRL, root area, root volume, root forks, root dry weight, and shoot dry weight. The functional marker KASP-Rht-D1 for Rht-D1 was used to genotype 2SY population and remapping QTL for TRL showed that QTrl.sicau-2SY-4D was not linked to Rht-D1. The kompetitive allele-specific PCR (KASP) marker, KASP-AX-110527441 linked to this major QTL, was developed and used to successfully validate its effect in three different genetic populations. Further analysis suggested that the positive allele at QTrl.sicau-2SY-4D was mainly utilized in wheat breeding of northwest China where precipitation was significantly lower, indicating that wheat requires longer TRL to capture water and nutrients in arid or semi-arid regions due to deficient precipitation. Additionally, four genes (TraesCS4D03G0059800, TraesCS4D03G0057800, TraesCS4D03G0064000, and TraesCS4D03G0064400) possibly related to root development were predicted in physical interval of QTrl.sicau-2SY-4D. Taken together, these results enrich our understanding on the genetic basis of RSA and provide a potentially valuable TRL QTL for wheat breeding. Frontiers Media S.A. 2022-08-24 /pmc/articles/PMC9451531/ /pubmed/36092437 http://dx.doi.org/10.3389/fpls.2022.995183 Text en Copyright © 2022 Chen, Wei, Tian, Zeng, Tang, Liu, Xu, Deng, Jiang, Chen, Liu, Li, Qi, Jiang, Jiang, Tang, Wei, Zheng, Lan and Ma. https://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) and the copyright owner(s) 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 Chen, Huangxin Wei, Jiatai Tian, Rong Zeng, Zhaoyong Tang, Huaping Liu, Yanlin Xu, Qiang Deng, Mei Jiang, Qiantao Chen, Guoyue Liu, Yaxi Li, Wei Qi, Pengfei Jiang, Yunfeng Jiang, Yun Tang, Liwei Wei, Yuming Zheng, Youliang Lan, Xiujin Ma, Jian A major quantitative trait locus for wheat total root length associated with precipitation distribution |
title | A major quantitative trait locus for wheat total root length associated with precipitation distribution |
title_full | A major quantitative trait locus for wheat total root length associated with precipitation distribution |
title_fullStr | A major quantitative trait locus for wheat total root length associated with precipitation distribution |
title_full_unstemmed | A major quantitative trait locus for wheat total root length associated with precipitation distribution |
title_short | A major quantitative trait locus for wheat total root length associated with precipitation distribution |
title_sort | major quantitative trait locus for wheat total root length associated with precipitation distribution |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9451531/ https://www.ncbi.nlm.nih.gov/pubmed/36092437 http://dx.doi.org/10.3389/fpls.2022.995183 |
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