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

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 6...

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Autores principales: Zhao, Yan, Yin, Zhigang, Wang, Xueqiang, Jiang, Conghui, Aslam, Muhammad Mahran, Gao, Fenghua, Pan, Yinghua, Xie, Jianyin, Zhu, Xiaoyang, Dong, Luhao, Liu, Yanhe, Zhang, Hongliang, Li, Jinjie, Li, Zichao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253791/
https://www.ncbi.nlm.nih.gov/pubmed/34215814
http://dx.doi.org/10.1038/s41598-021-93170-3
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author Zhao, Yan
Yin, Zhigang
Wang, Xueqiang
Jiang, Conghui
Aslam, Muhammad Mahran
Gao, Fenghua
Pan, Yinghua
Xie, Jianyin
Zhu, Xiaoyang
Dong, Luhao
Liu, Yanhe
Zhang, Hongliang
Li, Jinjie
Li, Zichao
author_facet Zhao, Yan
Yin, Zhigang
Wang, Xueqiang
Jiang, Conghui
Aslam, Muhammad Mahran
Gao, Fenghua
Pan, Yinghua
Xie, Jianyin
Zhu, Xiaoyang
Dong, Luhao
Liu, Yanhe
Zhang, Hongliang
Li, Jinjie
Li, Zichao
author_sort Zhao, Yan
collection PubMed
description 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.
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spelling pubmed-82537912021-07-06 Genetic basis and network underlying synergistic roots and shoots biomass accumulation revealed by genome-wide association studies in rice Zhao, Yan Yin, Zhigang Wang, Xueqiang Jiang, Conghui Aslam, Muhammad Mahran Gao, Fenghua Pan, Yinghua Xie, Jianyin Zhu, Xiaoyang Dong, Luhao Liu, Yanhe Zhang, Hongliang Li, Jinjie Li, Zichao Sci Rep Article 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. Nature Publishing Group UK 2021-07-02 /pmc/articles/PMC8253791/ /pubmed/34215814 http://dx.doi.org/10.1038/s41598-021-93170-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zhao, Yan
Yin, Zhigang
Wang, Xueqiang
Jiang, Conghui
Aslam, Muhammad Mahran
Gao, Fenghua
Pan, Yinghua
Xie, Jianyin
Zhu, Xiaoyang
Dong, Luhao
Liu, Yanhe
Zhang, Hongliang
Li, Jinjie
Li, Zichao
Genetic basis and network underlying synergistic roots and shoots biomass accumulation revealed by genome-wide association studies in rice
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253791/
https://www.ncbi.nlm.nih.gov/pubmed/34215814
http://dx.doi.org/10.1038/s41598-021-93170-3
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