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Identification of subspecies-divergent genetic loci responsible for mineral accumulation in rice grains
Rice (Oryza sativa L.) is a major staple food that provides not only dietary calories but also trace elements for the global inhabitants. The insufficiency of mineral nutrients and the potential accumulation of excessive toxic elements in grains pose risks to human health. The substantial natural va...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941327/ https://www.ncbi.nlm.nih.gov/pubmed/36824439 http://dx.doi.org/10.3389/fgene.2023.1133600 |
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author | Huang, Zijian Li, Sai Lv, Zhaokun Tian, Yan Chen, Yibo Zhu, Yuxing Wang, Jiurong Deng, Huabing Sun, Liang Tang, Wenbang |
author_facet | Huang, Zijian Li, Sai Lv, Zhaokun Tian, Yan Chen, Yibo Zhu, Yuxing Wang, Jiurong Deng, Huabing Sun, Liang Tang, Wenbang |
author_sort | Huang, Zijian |
collection | PubMed |
description | Rice (Oryza sativa L.) is a major staple food that provides not only dietary calories but also trace elements for the global inhabitants. The insufficiency of mineral nutrients and the potential accumulation of excessive toxic elements in grains pose risks to human health. The substantial natural variations in mineral accumulation in rice grains presents potentials for genetic improvements of rice via biofortifications of essential mineral nutrients and eliminations of toxic elements in grains. However, the genetic mechanisms underlying the natural variations in mineral accumulation have not been fully explored to date owing to unstable phenotypic variations, which are attributed to poor genetic performance and strong environmental effects. In this study, we first compared the genetic performance of different normalization approaches in determining the grain-Cd, grain-Mn, and grain-Zn variations in rice in different genetic populations. Then through quantitative trait loci (QTLs) identification in two rice inter-ectype populations, three QTLs, including qCd7, qMn3, and qZn7, were identified and the QTLs were found to exhibit allelic differentiation in the different ecotypes. Our results were expected to broaden our understanding for mineral accumulation in rice and propose the potential functional alleles that can be explored for further genetic improvement of rice. |
format | Online Article Text |
id | pubmed-9941327 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99413272023-02-22 Identification of subspecies-divergent genetic loci responsible for mineral accumulation in rice grains Huang, Zijian Li, Sai Lv, Zhaokun Tian, Yan Chen, Yibo Zhu, Yuxing Wang, Jiurong Deng, Huabing Sun, Liang Tang, Wenbang Front Genet Genetics Rice (Oryza sativa L.) is a major staple food that provides not only dietary calories but also trace elements for the global inhabitants. The insufficiency of mineral nutrients and the potential accumulation of excessive toxic elements in grains pose risks to human health. The substantial natural variations in mineral accumulation in rice grains presents potentials for genetic improvements of rice via biofortifications of essential mineral nutrients and eliminations of toxic elements in grains. However, the genetic mechanisms underlying the natural variations in mineral accumulation have not been fully explored to date owing to unstable phenotypic variations, which are attributed to poor genetic performance and strong environmental effects. In this study, we first compared the genetic performance of different normalization approaches in determining the grain-Cd, grain-Mn, and grain-Zn variations in rice in different genetic populations. Then through quantitative trait loci (QTLs) identification in two rice inter-ectype populations, three QTLs, including qCd7, qMn3, and qZn7, were identified and the QTLs were found to exhibit allelic differentiation in the different ecotypes. Our results were expected to broaden our understanding for mineral accumulation in rice and propose the potential functional alleles that can be explored for further genetic improvement of rice. Frontiers Media S.A. 2023-02-07 /pmc/articles/PMC9941327/ /pubmed/36824439 http://dx.doi.org/10.3389/fgene.2023.1133600 Text en Copyright © 2023 Huang, Li, Lv, Tian, Chen, Zhu, Wang, Deng, Sun and Tang. 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 | Genetics Huang, Zijian Li, Sai Lv, Zhaokun Tian, Yan Chen, Yibo Zhu, Yuxing Wang, Jiurong Deng, Huabing Sun, Liang Tang, Wenbang Identification of subspecies-divergent genetic loci responsible for mineral accumulation in rice grains |
title | Identification of subspecies-divergent genetic loci responsible for mineral accumulation in rice grains |
title_full | Identification of subspecies-divergent genetic loci responsible for mineral accumulation in rice grains |
title_fullStr | Identification of subspecies-divergent genetic loci responsible for mineral accumulation in rice grains |
title_full_unstemmed | Identification of subspecies-divergent genetic loci responsible for mineral accumulation in rice grains |
title_short | Identification of subspecies-divergent genetic loci responsible for mineral accumulation in rice grains |
title_sort | identification of subspecies-divergent genetic loci responsible for mineral accumulation in rice grains |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941327/ https://www.ncbi.nlm.nih.gov/pubmed/36824439 http://dx.doi.org/10.3389/fgene.2023.1133600 |
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