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GC-MS-based metabolite profiling of key differential metabolites between superior and inferior spikelets of rice during the grain filling stage
BACKGROUND: The asynchronous filling between superior spikelets (SS) and inferior spikelets (IS) in rice has become a research hotspot. The stagnant development and poor grain filling of IS limit yields and the formation of good quality rice. A large number of studies on this phenomenon have been ca...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477532/ https://www.ncbi.nlm.nih.gov/pubmed/34583646 http://dx.doi.org/10.1186/s12870-021-03219-8 |
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author | Min, Xiumei Xu, Hailong Huang, Fenglian Wei, Yidong Lin, Wenxiong Zhang, Zhixing |
author_facet | Min, Xiumei Xu, Hailong Huang, Fenglian Wei, Yidong Lin, Wenxiong Zhang, Zhixing |
author_sort | Min, Xiumei |
collection | PubMed |
description | BACKGROUND: The asynchronous filling between superior spikelets (SS) and inferior spikelets (IS) in rice has become a research hotspot. The stagnant development and poor grain filling of IS limit yields and the formation of good quality rice. A large number of studies on this phenomenon have been carried out from the genome, transcriptome and proteome level, indicating that asynchronous filling of SS and IS filling is a complex, but orderly physiological and biochemical process involving changes of a large number of genes, protein expression and modification. However, the analysis of metabolomics differences between SS and IS is rarely reported currently. RESULTS: This study utilized untargeted metabolomics and identified 162 metabolites in rice spikelets. Among them, 17 differential metabolites associated with unsynchronized grain filling between SS and IS, 27 metabolites were related to the stagnant development of IS and 35 metabolites related to the lower maximum grain-filling rate of IS compared with the SS. We found that soluble sugars were an important metabolite during grain filling for SS and IS. Absolute quantification was used to further analyze the dynamic changes of 4 types of soluble sugars (sucrose, fructose, glucose, and trehalose) between SS and IS. The results showed that sucrose and trehalose were closely associated with the dynamic characteristics of grain filling between SS and IS. The application of exogenous sugar showed that trehalose functioned as a key sugar signal during grain filling of IS. Trehalose regulated the expression of genes related to sucrose conversion and starch synthesis, thereby promoting the conversion of sucrose to starch. The difference in the spatiotemporal expression of TPS-2 and TPP-1 between SS and IS was an important reason that led to the asynchronous change in the trehalose content between SS and IS. CONCLUSIONS: The results from this study are helpful for understanding the difference in grain filling between SS and IS at the metabolite level. In addition, the present results can also provide a theoretical basis for the next step of using metabolites to regulate the filling of IS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-03219-8. |
format | Online Article Text |
id | pubmed-8477532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84775322021-09-29 GC-MS-based metabolite profiling of key differential metabolites between superior and inferior spikelets of rice during the grain filling stage Min, Xiumei Xu, Hailong Huang, Fenglian Wei, Yidong Lin, Wenxiong Zhang, Zhixing BMC Plant Biol Research BACKGROUND: The asynchronous filling between superior spikelets (SS) and inferior spikelets (IS) in rice has become a research hotspot. The stagnant development and poor grain filling of IS limit yields and the formation of good quality rice. A large number of studies on this phenomenon have been carried out from the genome, transcriptome and proteome level, indicating that asynchronous filling of SS and IS filling is a complex, but orderly physiological and biochemical process involving changes of a large number of genes, protein expression and modification. However, the analysis of metabolomics differences between SS and IS is rarely reported currently. RESULTS: This study utilized untargeted metabolomics and identified 162 metabolites in rice spikelets. Among them, 17 differential metabolites associated with unsynchronized grain filling between SS and IS, 27 metabolites were related to the stagnant development of IS and 35 metabolites related to the lower maximum grain-filling rate of IS compared with the SS. We found that soluble sugars were an important metabolite during grain filling for SS and IS. Absolute quantification was used to further analyze the dynamic changes of 4 types of soluble sugars (sucrose, fructose, glucose, and trehalose) between SS and IS. The results showed that sucrose and trehalose were closely associated with the dynamic characteristics of grain filling between SS and IS. The application of exogenous sugar showed that trehalose functioned as a key sugar signal during grain filling of IS. Trehalose regulated the expression of genes related to sucrose conversion and starch synthesis, thereby promoting the conversion of sucrose to starch. The difference in the spatiotemporal expression of TPS-2 and TPP-1 between SS and IS was an important reason that led to the asynchronous change in the trehalose content between SS and IS. CONCLUSIONS: The results from this study are helpful for understanding the difference in grain filling between SS and IS at the metabolite level. In addition, the present results can also provide a theoretical basis for the next step of using metabolites to regulate the filling of IS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-03219-8. BioMed Central 2021-09-28 /pmc/articles/PMC8477532/ /pubmed/34583646 http://dx.doi.org/10.1186/s12870-021-03219-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Min, Xiumei Xu, Hailong Huang, Fenglian Wei, Yidong Lin, Wenxiong Zhang, Zhixing GC-MS-based metabolite profiling of key differential metabolites between superior and inferior spikelets of rice during the grain filling stage |
title | GC-MS-based metabolite profiling of key differential metabolites between superior and inferior spikelets of rice during the grain filling stage |
title_full | GC-MS-based metabolite profiling of key differential metabolites between superior and inferior spikelets of rice during the grain filling stage |
title_fullStr | GC-MS-based metabolite profiling of key differential metabolites between superior and inferior spikelets of rice during the grain filling stage |
title_full_unstemmed | GC-MS-based metabolite profiling of key differential metabolites between superior and inferior spikelets of rice during the grain filling stage |
title_short | GC-MS-based metabolite profiling of key differential metabolites between superior and inferior spikelets of rice during the grain filling stage |
title_sort | gc-ms-based metabolite profiling of key differential metabolites between superior and inferior spikelets of rice during the grain filling stage |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477532/ https://www.ncbi.nlm.nih.gov/pubmed/34583646 http://dx.doi.org/10.1186/s12870-021-03219-8 |
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