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WGCNA and transcriptome profiling reveal hub genes for key development stage seed size/oil content between wild and cultivated soybean

BACKGROUND: Soybean is one of the most important oil crops in the world. The domestication of wild soybean has resulted in significant changes in the seed oil content and seed size of cultivated soybeans. To better understand the molecular mechanisms of seed formation and oil content accumulation, W...

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Autores principales: Yao, Yanjie, Xiong, Erhui, Qu, Xuelian, Li, Junfeng, Liu, Hongli, Quan, Leipo, Lu, Wenyan, Zhu, Xuling, Chen, Meiling, Li, Ke, Chen, Xiaoming, Lian, Yun, Lu, Weiguo, Zhang, Dan, Zhou, Xinan, Chu, Shanshan, Jiao, Yongqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463976/
https://www.ncbi.nlm.nih.gov/pubmed/37641045
http://dx.doi.org/10.1186/s12864-023-09617-6
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author Yao, Yanjie
Xiong, Erhui
Qu, Xuelian
Li, Junfeng
Liu, Hongli
Quan, Leipo
Lu, Wenyan
Zhu, Xuling
Chen, Meiling
Li, Ke
Chen, Xiaoming
Lian, Yun
Lu, Weiguo
Zhang, Dan
Zhou, Xinan
Chu, Shanshan
Jiao, Yongqing
author_facet Yao, Yanjie
Xiong, Erhui
Qu, Xuelian
Li, Junfeng
Liu, Hongli
Quan, Leipo
Lu, Wenyan
Zhu, Xuling
Chen, Meiling
Li, Ke
Chen, Xiaoming
Lian, Yun
Lu, Weiguo
Zhang, Dan
Zhou, Xinan
Chu, Shanshan
Jiao, Yongqing
author_sort Yao, Yanjie
collection PubMed
description BACKGROUND: Soybean is one of the most important oil crops in the world. The domestication of wild soybean has resulted in significant changes in the seed oil content and seed size of cultivated soybeans. To better understand the molecular mechanisms of seed formation and oil content accumulation, WDD01514 (E1), ZYD00463 (E2), and two extreme progenies (E23 and E171) derived from RILs were used for weighted gene coexpression network analysis (WGCNA) combined with transcriptome analysis. RESULTS: In this study, both seed weight and oil content in E1 and E171 were significantly higher than those in E2 and E23, and 20 DAF and 30 DAF may be key stages of soybean seed oil content accumulation and weight increase. Pathways such as “Photosynthesis”, “Carbon metabolism”, and “Fatty acid metabolism”, were involved in oil content accumulation and grain formation between wild and cultivated soybeans at 20 and 30 DAF according to RNA-seq analysis. A total of 121 oil content accumulation and 189 seed formation candidate genes were screened from differentially expressed genes. WGCNA identified six modules related to seed oil content and seed weight, and 76 candidate genes were screened from modules and network. Among them, 16 genes were used for qRT-PCR and tissue specific expression pattern analysis, and their expression-levels in 33-wild and 23-cultivated soybean varieties were subjected to correlation analysis; some key genes were verified as likely to be involved in oil content accumulation and grain formation. CONCLUSIONS: Overall, these results contribute to an understanding of seed lipid metabolism and seed size during seed development, and identify potential functional genes for improving soybean yield and seed oil quantity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09617-6.
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spelling pubmed-104639762023-08-30 WGCNA and transcriptome profiling reveal hub genes for key development stage seed size/oil content between wild and cultivated soybean Yao, Yanjie Xiong, Erhui Qu, Xuelian Li, Junfeng Liu, Hongli Quan, Leipo Lu, Wenyan Zhu, Xuling Chen, Meiling Li, Ke Chen, Xiaoming Lian, Yun Lu, Weiguo Zhang, Dan Zhou, Xinan Chu, Shanshan Jiao, Yongqing BMC Genomics Research BACKGROUND: Soybean is one of the most important oil crops in the world. The domestication of wild soybean has resulted in significant changes in the seed oil content and seed size of cultivated soybeans. To better understand the molecular mechanisms of seed formation and oil content accumulation, WDD01514 (E1), ZYD00463 (E2), and two extreme progenies (E23 and E171) derived from RILs were used for weighted gene coexpression network analysis (WGCNA) combined with transcriptome analysis. RESULTS: In this study, both seed weight and oil content in E1 and E171 were significantly higher than those in E2 and E23, and 20 DAF and 30 DAF may be key stages of soybean seed oil content accumulation and weight increase. Pathways such as “Photosynthesis”, “Carbon metabolism”, and “Fatty acid metabolism”, were involved in oil content accumulation and grain formation between wild and cultivated soybeans at 20 and 30 DAF according to RNA-seq analysis. A total of 121 oil content accumulation and 189 seed formation candidate genes were screened from differentially expressed genes. WGCNA identified six modules related to seed oil content and seed weight, and 76 candidate genes were screened from modules and network. Among them, 16 genes were used for qRT-PCR and tissue specific expression pattern analysis, and their expression-levels in 33-wild and 23-cultivated soybean varieties were subjected to correlation analysis; some key genes were verified as likely to be involved in oil content accumulation and grain formation. CONCLUSIONS: Overall, these results contribute to an understanding of seed lipid metabolism and seed size during seed development, and identify potential functional genes for improving soybean yield and seed oil quantity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09617-6. BioMed Central 2023-08-28 /pmc/articles/PMC10463976/ /pubmed/37641045 http://dx.doi.org/10.1186/s12864-023-09617-6 Text en © The Author(s) 2023 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/) . 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
Yao, Yanjie
Xiong, Erhui
Qu, Xuelian
Li, Junfeng
Liu, Hongli
Quan, Leipo
Lu, Wenyan
Zhu, Xuling
Chen, Meiling
Li, Ke
Chen, Xiaoming
Lian, Yun
Lu, Weiguo
Zhang, Dan
Zhou, Xinan
Chu, Shanshan
Jiao, Yongqing
WGCNA and transcriptome profiling reveal hub genes for key development stage seed size/oil content between wild and cultivated soybean
title WGCNA and transcriptome profiling reveal hub genes for key development stage seed size/oil content between wild and cultivated soybean
title_full WGCNA and transcriptome profiling reveal hub genes for key development stage seed size/oil content between wild and cultivated soybean
title_fullStr WGCNA and transcriptome profiling reveal hub genes for key development stage seed size/oil content between wild and cultivated soybean
title_full_unstemmed WGCNA and transcriptome profiling reveal hub genes for key development stage seed size/oil content between wild and cultivated soybean
title_short WGCNA and transcriptome profiling reveal hub genes for key development stage seed size/oil content between wild and cultivated soybean
title_sort wgcna and transcriptome profiling reveal hub genes for key development stage seed size/oil content between wild and cultivated soybean
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463976/
https://www.ncbi.nlm.nih.gov/pubmed/37641045
http://dx.doi.org/10.1186/s12864-023-09617-6
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