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Linkage analysis, GWAS, transcriptome analysis to identify candidate genes for rice seedlings in response to high temperature stress

BACKGROUND: Rice plants suffer from the rising temperature which is becoming more and more prominent. Mining heat-resistant genes and applying them to rice breeding is a feasible and effective way to solve the problem. RESULT: Three main biomass traits, including shoot length, dry weight, and fresh...

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Autores principales: Wei, Zhaoran, Yuan, Qiaoling, Lin, Hai, Li, Xiaoxia, Zhang, Chao, Gao, Hongsheng, Zhang, Bin, He, Huiying, Liu, Tianjiao, Jie, Zhang, Gao, Xu, Shi, Shandang, Wang, Bo, Gao, Zhenyu, Kong, Lingrang, Qian, Qian, Shang, Lianguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874481/
https://www.ncbi.nlm.nih.gov/pubmed/33563229
http://dx.doi.org/10.1186/s12870-021-02857-2
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author Wei, Zhaoran
Yuan, Qiaoling
Lin, Hai
Li, Xiaoxia
Zhang, Chao
Gao, Hongsheng
Zhang, Bin
He, Huiying
Liu, Tianjiao
Jie, Zhang
Gao, Xu
Shi, Shandang
Wang, Bo
Gao, Zhenyu
Kong, Lingrang
Qian, Qian
Shang, Lianguang
author_facet Wei, Zhaoran
Yuan, Qiaoling
Lin, Hai
Li, Xiaoxia
Zhang, Chao
Gao, Hongsheng
Zhang, Bin
He, Huiying
Liu, Tianjiao
Jie, Zhang
Gao, Xu
Shi, Shandang
Wang, Bo
Gao, Zhenyu
Kong, Lingrang
Qian, Qian
Shang, Lianguang
author_sort Wei, Zhaoran
collection PubMed
description BACKGROUND: Rice plants suffer from the rising temperature which is becoming more and more prominent. Mining heat-resistant genes and applying them to rice breeding is a feasible and effective way to solve the problem. RESULT: Three main biomass traits, including shoot length, dry weight, and fresh weight, changed after abnormally high-temperature treatment in the rice seedling stage of a recombinant inbred lines and the natural indica germplasm population. Based on a comparison of the results of linkage analysis and genome-wide association analysis, two loci with lengths of 57 kb and 69 kb in qDW7 and qFW6, respectively, were associated with the rice response to abnormally high temperatures at the seedling stage. Meanwhile, based on integrated transcriptome analysis, some genes are considered as important candidate genes. Combining with known genes and analysis of homologous genes, it was found that there are eight genes in candidate intervals that need to be focused on in subsequent research. CONCLUSIONS: The results indicated several relevant loci, which would help researchers to further discover beneficial heat-resistant genes that can be applied to rice heat-resistant breeding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-02857-2.
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spelling pubmed-78744812021-02-11 Linkage analysis, GWAS, transcriptome analysis to identify candidate genes for rice seedlings in response to high temperature stress Wei, Zhaoran Yuan, Qiaoling Lin, Hai Li, Xiaoxia Zhang, Chao Gao, Hongsheng Zhang, Bin He, Huiying Liu, Tianjiao Jie, Zhang Gao, Xu Shi, Shandang Wang, Bo Gao, Zhenyu Kong, Lingrang Qian, Qian Shang, Lianguang BMC Plant Biol Research Article BACKGROUND: Rice plants suffer from the rising temperature which is becoming more and more prominent. Mining heat-resistant genes and applying them to rice breeding is a feasible and effective way to solve the problem. RESULT: Three main biomass traits, including shoot length, dry weight, and fresh weight, changed after abnormally high-temperature treatment in the rice seedling stage of a recombinant inbred lines and the natural indica germplasm population. Based on a comparison of the results of linkage analysis and genome-wide association analysis, two loci with lengths of 57 kb and 69 kb in qDW7 and qFW6, respectively, were associated with the rice response to abnormally high temperatures at the seedling stage. Meanwhile, based on integrated transcriptome analysis, some genes are considered as important candidate genes. Combining with known genes and analysis of homologous genes, it was found that there are eight genes in candidate intervals that need to be focused on in subsequent research. CONCLUSIONS: The results indicated several relevant loci, which would help researchers to further discover beneficial heat-resistant genes that can be applied to rice heat-resistant breeding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-02857-2. BioMed Central 2021-02-09 /pmc/articles/PMC7874481/ /pubmed/33563229 http://dx.doi.org/10.1186/s12870-021-02857-2 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Wei, Zhaoran
Yuan, Qiaoling
Lin, Hai
Li, Xiaoxia
Zhang, Chao
Gao, Hongsheng
Zhang, Bin
He, Huiying
Liu, Tianjiao
Jie, Zhang
Gao, Xu
Shi, Shandang
Wang, Bo
Gao, Zhenyu
Kong, Lingrang
Qian, Qian
Shang, Lianguang
Linkage analysis, GWAS, transcriptome analysis to identify candidate genes for rice seedlings in response to high temperature stress
title Linkage analysis, GWAS, transcriptome analysis to identify candidate genes for rice seedlings in response to high temperature stress
title_full Linkage analysis, GWAS, transcriptome analysis to identify candidate genes for rice seedlings in response to high temperature stress
title_fullStr Linkage analysis, GWAS, transcriptome analysis to identify candidate genes for rice seedlings in response to high temperature stress
title_full_unstemmed Linkage analysis, GWAS, transcriptome analysis to identify candidate genes for rice seedlings in response to high temperature stress
title_short Linkage analysis, GWAS, transcriptome analysis to identify candidate genes for rice seedlings in response to high temperature stress
title_sort linkage analysis, gwas, transcriptome analysis to identify candidate genes for rice seedlings in response to high temperature stress
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874481/
https://www.ncbi.nlm.nih.gov/pubmed/33563229
http://dx.doi.org/10.1186/s12870-021-02857-2
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