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Using transcriptomic and metabolomic data to investigate the molecular mechanisms that determine protein and oil contents during seed development in soybean

Soybean [Glycine max (L.) Merri.] is one of the most valuable global crops. And vegetable soybean, as a special type of soybean, provides rich nutrition in people’s life. In order to investigate the gene expression networks and molecular regulatory mechanisms that regulate soybean seed oil and prote...

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Autores principales: Xu, Wenjing, Wang, Qiong, Zhang, Wei, Zhang, Hongmei, Liu, Xiaoqing, Song, Qingxin, Zhu, Yuelin, Cui, Xiaoyan, Chen, Xin, Chen, Huatao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9557928/
https://www.ncbi.nlm.nih.gov/pubmed/36247601
http://dx.doi.org/10.3389/fpls.2022.1012394
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author Xu, Wenjing
Wang, Qiong
Zhang, Wei
Zhang, Hongmei
Liu, Xiaoqing
Song, Qingxin
Zhu, Yuelin
Cui, Xiaoyan
Chen, Xin
Chen, Huatao
author_facet Xu, Wenjing
Wang, Qiong
Zhang, Wei
Zhang, Hongmei
Liu, Xiaoqing
Song, Qingxin
Zhu, Yuelin
Cui, Xiaoyan
Chen, Xin
Chen, Huatao
author_sort Xu, Wenjing
collection PubMed
description Soybean [Glycine max (L.) Merri.] is one of the most valuable global crops. And vegetable soybean, as a special type of soybean, provides rich nutrition in people’s life. In order to investigate the gene expression networks and molecular regulatory mechanisms that regulate soybean seed oil and protein contents during seed development, we performed transcriptomic and metabolomic analyses of soybean seeds during development in two soybean varieties that differ in protein and oil contents. We identified a total of 41,036 genes and 392 metabolites, of which 12,712 DEGs and 315 DAMs were identified. Analysis of KEGG enrichment demonstrated that DEGs were primarily enriched in phenylpropanoid biosynthesis, glycerolipid metabolism, carbon metabolism, plant hormone signal transduction, linoleic acid metabolism, and the biosynthesis of amino acids and secondary metabolites. K-means analysis divided the DEGs into 12 distinct clusters. We identified candidate gene sets that regulate the biosynthesis of protein and oil in soybean seeds, and present potential regulatory patterns that high seed-protein varieties may be more sensitive to desiccation, show earlier photomorphogenesis and delayed leaf senescence, and thus accumulate higher protein contents than high-oil varieties.
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spelling pubmed-95579282022-10-14 Using transcriptomic and metabolomic data to investigate the molecular mechanisms that determine protein and oil contents during seed development in soybean Xu, Wenjing Wang, Qiong Zhang, Wei Zhang, Hongmei Liu, Xiaoqing Song, Qingxin Zhu, Yuelin Cui, Xiaoyan Chen, Xin Chen, Huatao Front Plant Sci Plant Science Soybean [Glycine max (L.) Merri.] is one of the most valuable global crops. And vegetable soybean, as a special type of soybean, provides rich nutrition in people’s life. In order to investigate the gene expression networks and molecular regulatory mechanisms that regulate soybean seed oil and protein contents during seed development, we performed transcriptomic and metabolomic analyses of soybean seeds during development in two soybean varieties that differ in protein and oil contents. We identified a total of 41,036 genes and 392 metabolites, of which 12,712 DEGs and 315 DAMs were identified. Analysis of KEGG enrichment demonstrated that DEGs were primarily enriched in phenylpropanoid biosynthesis, glycerolipid metabolism, carbon metabolism, plant hormone signal transduction, linoleic acid metabolism, and the biosynthesis of amino acids and secondary metabolites. K-means analysis divided the DEGs into 12 distinct clusters. We identified candidate gene sets that regulate the biosynthesis of protein and oil in soybean seeds, and present potential regulatory patterns that high seed-protein varieties may be more sensitive to desiccation, show earlier photomorphogenesis and delayed leaf senescence, and thus accumulate higher protein contents than high-oil varieties. Frontiers Media S.A. 2022-09-29 /pmc/articles/PMC9557928/ /pubmed/36247601 http://dx.doi.org/10.3389/fpls.2022.1012394 Text en Copyright © 2022 Xu, Wang, Zhang, Zhang, Liu, Song, Zhu, Cui, Chen and Chen 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 Plant Science
Xu, Wenjing
Wang, Qiong
Zhang, Wei
Zhang, Hongmei
Liu, Xiaoqing
Song, Qingxin
Zhu, Yuelin
Cui, Xiaoyan
Chen, Xin
Chen, Huatao
Using transcriptomic and metabolomic data to investigate the molecular mechanisms that determine protein and oil contents during seed development in soybean
title Using transcriptomic and metabolomic data to investigate the molecular mechanisms that determine protein and oil contents during seed development in soybean
title_full Using transcriptomic and metabolomic data to investigate the molecular mechanisms that determine protein and oil contents during seed development in soybean
title_fullStr Using transcriptomic and metabolomic data to investigate the molecular mechanisms that determine protein and oil contents during seed development in soybean
title_full_unstemmed Using transcriptomic and metabolomic data to investigate the molecular mechanisms that determine protein and oil contents during seed development in soybean
title_short Using transcriptomic and metabolomic data to investigate the molecular mechanisms that determine protein and oil contents during seed development in soybean
title_sort using transcriptomic and metabolomic data to investigate the molecular mechanisms that determine protein and oil contents during seed development in soybean
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9557928/
https://www.ncbi.nlm.nih.gov/pubmed/36247601
http://dx.doi.org/10.3389/fpls.2022.1012394
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