Genetic basis and network underlying synergistic roots and shoots biomass accumulation revealed by genome-wide association studies in rice

Abstract Genetic basis and network studies underlying synergistic biomass accumulation of roots and shoots (SBA) are conducive for rational design of high-biomass rice breeding. In this study, association signals for root weight, shoot weight, and the ratio of root-to-shoot mass (R/S) were identifie...

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Autores principales:	Yan Zhao, Zhigang Yin, Xueqiang Wang, Conghui Jiang, Muhammad Mahran Aslam, Fenghua Gao, Yinghua Pan, Jianyin Xie, Xiaoyang Zhu, Luhao Dong, Yanhe Liu, Hongliang Zhang, Jinjie Li, Zichao Li
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/675889fb854a419e85d57911cfddc311
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spelling	oai:doaj.org-article:675889fb854a419e85d57911cfddc3112021-12-02T16:10:37ZGenetic basis and network underlying synergistic roots and shoots biomass accumulation revealed by genome-wide association studies in rice10.1038/s41598-021-93170-32045-2322https://doaj.org/article/675889fb854a419e85d57911cfddc3112021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93170-3https://doaj.org/toc/2045-2322Abstract Genetic basis and network studies underlying synergistic biomass accumulation of roots and shoots (SBA) are conducive for rational design of high-biomass rice breeding. In this study, association signals for root weight, shoot weight, and the ratio of root-to-shoot mass (R/S) were identified using 666 rice accessions by genome-wide association study, together with their sub-traits, root length, root thickness and shoot length. Most association signals for root weight and shoot weight did not show association with their sub-traits. Based on the results, we proposed a top-to-bottom model for SBA, i.e. root weight, shoot weight and R/S were determined by their highest priority in contributing to biomass in the regulatory pathway, followed by a lower priority pathway for their sub-traits. Owing to 37 enriched clusters with more than two association signals identified, the relationship among the six traits could be also involved in linkage and pleiotropy. Furthermore, a discrimination of pleiotropy and LD at sequencing level using the known gene OsPTR9 for root weight, R/S and root length was provided. The results of given moderate correlation between traits and their corresponding sub-traits, and moderate additive effects between a trait and the accumulation of excellent alleles corresponding to its sub-traits supported a bottom-to-top regulation model for SBA. This model depicted each lowest-order trait (root length, root thickness and shoot length) was determined by its own regulation loci, and competition among different traits, as well as the pleiotropy and LD. All above ensure the coordinated development of each trait and the accumulation of the total biomass, although the predominant genetic basis of SBA is still indistinguishable. The presentation of the above two models and evidence of this study shed light on dissecting the genetic architecture of SBA.Yan ZhaoZhigang YinXueqiang WangConghui JiangMuhammad Mahran AslamFenghua GaoYinghua PanJianyin XieXiaoyang ZhuLuhao DongYanhe LiuHongliang ZhangJinjie LiZichao LiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yan Zhao Zhigang Yin Xueqiang Wang Conghui Jiang Muhammad Mahran Aslam Fenghua Gao Yinghua Pan Jianyin Xie Xiaoyang Zhu Luhao Dong Yanhe Liu Hongliang Zhang Jinjie Li Zichao Li Genetic basis and network underlying synergistic roots and shoots biomass accumulation revealed by genome-wide association studies in rice
description	Abstract Genetic basis and network studies underlying synergistic biomass accumulation of roots and shoots (SBA) are conducive for rational design of high-biomass rice breeding. In this study, association signals for root weight, shoot weight, and the ratio of root-to-shoot mass (R/S) were identified using 666 rice accessions by genome-wide association study, together with their sub-traits, root length, root thickness and shoot length. Most association signals for root weight and shoot weight did not show association with their sub-traits. Based on the results, we proposed a top-to-bottom model for SBA, i.e. root weight, shoot weight and R/S were determined by their highest priority in contributing to biomass in the regulatory pathway, followed by a lower priority pathway for their sub-traits. Owing to 37 enriched clusters with more than two association signals identified, the relationship among the six traits could be also involved in linkage and pleiotropy. Furthermore, a discrimination of pleiotropy and LD at sequencing level using the known gene OsPTR9 for root weight, R/S and root length was provided. The results of given moderate correlation between traits and their corresponding sub-traits, and moderate additive effects between a trait and the accumulation of excellent alleles corresponding to its sub-traits supported a bottom-to-top regulation model for SBA. This model depicted each lowest-order trait (root length, root thickness and shoot length) was determined by its own regulation loci, and competition among different traits, as well as the pleiotropy and LD. All above ensure the coordinated development of each trait and the accumulation of the total biomass, although the predominant genetic basis of SBA is still indistinguishable. The presentation of the above two models and evidence of this study shed light on dissecting the genetic architecture of SBA.
format	article
author	Yan Zhao Zhigang Yin Xueqiang Wang Conghui Jiang Muhammad Mahran Aslam Fenghua Gao Yinghua Pan Jianyin Xie Xiaoyang Zhu Luhao Dong Yanhe Liu Hongliang Zhang Jinjie Li Zichao Li
author_facet	Yan Zhao Zhigang Yin Xueqiang Wang Conghui Jiang Muhammad Mahran Aslam Fenghua Gao Yinghua Pan Jianyin Xie Xiaoyang Zhu Luhao Dong Yanhe Liu Hongliang Zhang Jinjie Li Zichao Li
author_sort	Yan Zhao
title	Genetic basis and network underlying synergistic roots and shoots biomass accumulation revealed by genome-wide association studies in rice
title_short	Genetic basis and network underlying synergistic roots and shoots biomass accumulation revealed by genome-wide association studies in rice
title_full	Genetic basis and network underlying synergistic roots and shoots biomass accumulation revealed by genome-wide association studies in rice
title_fullStr	Genetic basis and network underlying synergistic roots and shoots biomass accumulation revealed by genome-wide association studies in rice
title_full_unstemmed	Genetic basis and network underlying synergistic roots and shoots biomass accumulation revealed by genome-wide association studies in rice
title_sort	genetic basis and network underlying synergistic roots and shoots biomass accumulation revealed by genome-wide association studies in rice
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/675889fb854a419e85d57911cfddc311
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Genetic basis and network underlying synergistic roots and shoots biomass accumulation revealed by genome-wide association studies in rice

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