Proteomic and metabolomic analysis of Nicotiana benthamiana under dark stress

Exposure to extended periods of darkness is a common source of abiotic stress that significantly affects plant growth and development. To understand how Nicotiana benthamiana responds to dark stress, the proteomes and metabolomes of leaves treated with darkness were studied. In total, 5763 proteins...

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Main Authors: Juan‐Juan Shen, Qian‐Si Chen, Ze‐Feng Li, Qing‐Xia Zheng, Ya‐Long Xu, Hui‐Na Zhou, Hong‐Yan Mao, Qi Shen, Ping‐Ping Liu
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:FEBS Open Bio
Subjects:
Online Access:https://doi.org/10.1002/2211-5463.13331
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author Juan‐Juan Shen
Qian‐Si Chen
Ze‐Feng Li
Qing‐Xia Zheng
Ya‐Long Xu
Hui‐Na Zhou
Hong‐Yan Mao
Qi Shen
Ping‐Ping Liu
author_facet Juan‐Juan Shen
Qian‐Si Chen
Ze‐Feng Li
Qing‐Xia Zheng
Ya‐Long Xu
Hui‐Na Zhou
Hong‐Yan Mao
Qi Shen
Ping‐Ping Liu
author_sort Juan‐Juan Shen
collection DOAJ
description Exposure to extended periods of darkness is a common source of abiotic stress that significantly affects plant growth and development. To understand how Nicotiana benthamiana responds to dark stress, the proteomes and metabolomes of leaves treated with darkness were studied. In total, 5763 proteins and 165 primary metabolites were identified following dark treatment. Additionally, the expression of autophagy‐related gene (ATG) proteins was transiently upregulated. Weighted gene coexpression network analysis (WGCNA) was utilized to find the protein modules associated with the response to dark stress. A total of four coexpression modules were obtained. The results indicated that heat‐shock protein (HSP70), SnRK1‐interacting protein 1, 2A phosphatase‐associated protein of 46 kDa (Tap46), and glutamate dehydrogenase (GDH) might play crucial roles in N. benthamiana’s response to dark stress. Furthermore, a protein–protein interaction (PPI) network was constructed and top‐degreed proteins were predicted to identify potential key factors in the response to dark stress. These proteins include isopropylmalate isomerase (IPMI), eukaryotic elongation factor 5A (ELF5A), and ribosomal protein 5A (RPS5A). Finally, metabolic analysis suggested that some amino acids and sugars were involved in the dark‐responsive pathways. Thus, these results provide a new avenue for understanding the defensive mechanism against dark stress at the protein and metabolic levels in N. benthamiana.
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spelling doaj.art-a7cb8d4d74714d3b8978e4266f3eebf02022-12-22T04:04:11ZengWileyFEBS Open Bio2211-54632022-01-0112123124910.1002/2211-5463.13331Proteomic and metabolomic analysis of Nicotiana benthamiana under dark stressJuan‐Juan Shen0Qian‐Si Chen1Ze‐Feng Li2Qing‐Xia Zheng3Ya‐Long Xu4Hui‐Na Zhou5Hong‐Yan Mao6Qi Shen7Ping‐Ping Liu8College of Chemistry Zhengzhou University Zhengzhou ChinaZhengzhou Tobacco Research Institute of CNTC Zhengzhou ChinaZhengzhou Tobacco Research Institute of CNTC Zhengzhou ChinaZhengzhou Tobacco Research Institute of CNTC Zhengzhou ChinaZhengzhou Tobacco Research Institute of CNTC Zhengzhou ChinaZhengzhou Tobacco Research Institute of CNTC Zhengzhou ChinaCollege of Chemistry Zhengzhou University Zhengzhou ChinaCollege of Chemistry Zhengzhou University Zhengzhou ChinaZhengzhou Tobacco Research Institute of CNTC Zhengzhou ChinaExposure to extended periods of darkness is a common source of abiotic stress that significantly affects plant growth and development. To understand how Nicotiana benthamiana responds to dark stress, the proteomes and metabolomes of leaves treated with darkness were studied. In total, 5763 proteins and 165 primary metabolites were identified following dark treatment. Additionally, the expression of autophagy‐related gene (ATG) proteins was transiently upregulated. Weighted gene coexpression network analysis (WGCNA) was utilized to find the protein modules associated with the response to dark stress. A total of four coexpression modules were obtained. The results indicated that heat‐shock protein (HSP70), SnRK1‐interacting protein 1, 2A phosphatase‐associated protein of 46 kDa (Tap46), and glutamate dehydrogenase (GDH) might play crucial roles in N. benthamiana’s response to dark stress. Furthermore, a protein–protein interaction (PPI) network was constructed and top‐degreed proteins were predicted to identify potential key factors in the response to dark stress. These proteins include isopropylmalate isomerase (IPMI), eukaryotic elongation factor 5A (ELF5A), and ribosomal protein 5A (RPS5A). Finally, metabolic analysis suggested that some amino acids and sugars were involved in the dark‐responsive pathways. Thus, these results provide a new avenue for understanding the defensive mechanism against dark stress at the protein and metabolic levels in N. benthamiana.https://doi.org/10.1002/2211-5463.13331autophagydark stressmetabolismNicotiana benthamianaproteomicweighted gene coexpression network analysis
spellingShingle Juan‐Juan Shen
Qian‐Si Chen
Ze‐Feng Li
Qing‐Xia Zheng
Ya‐Long Xu
Hui‐Na Zhou
Hong‐Yan Mao
Qi Shen
Ping‐Ping Liu
Proteomic and metabolomic analysis of Nicotiana benthamiana under dark stress
FEBS Open Bio
autophagy
dark stress
metabolism
Nicotiana benthamiana
proteomic
weighted gene coexpression network analysis
title Proteomic and metabolomic analysis of Nicotiana benthamiana under dark stress
title_full Proteomic and metabolomic analysis of Nicotiana benthamiana under dark stress
title_fullStr Proteomic and metabolomic analysis of Nicotiana benthamiana under dark stress
title_full_unstemmed Proteomic and metabolomic analysis of Nicotiana benthamiana under dark stress
title_short Proteomic and metabolomic analysis of Nicotiana benthamiana under dark stress
title_sort proteomic and metabolomic analysis of nicotiana benthamiana under dark stress
topic autophagy
dark stress
metabolism
Nicotiana benthamiana
proteomic
weighted gene coexpression network analysis
url https://doi.org/10.1002/2211-5463.13331
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