Systematically quantitative proteomics and metabolite profiles offer insight into fruit ripening behavior in Fragaria × ananassa
This journal is © The Royal Society of Chemistry..
Profound metabolic and proteomic changes involved in the primary and the secondary metabolism are required for the ripeness of fleshy fruit such as strawberries (Fragaria × ananassa). Here we present the quantitative proteomic profiling in parallel with metabolic and transcriptional profiling at five developmental stages of strawberry fruit ripening, and correlations between changes in representative metabolites and the abundance of related proteins were analyzed. Hierarchical clustering analysis of the quantitative proteomic profiling identified 143 proteins in strawberry fruit across five developmental stages. Meanwhile, both protein abundance and gene expression spanned a wide range of roles, such as the primary and the secondary metabolism, defense system, and response to stress stimuli. The decreased abundance of proteins contributed to the carbohydrate metabolism and the up-regulated expression of secondary biosynthetic proteins was found to be positively correlated with the accumulation of primary and secondary metabolites during strawberry development. Moreover, with the same annotations and high homology, the gene function of key genes involved in primary and secondary metabolism (FaTPI, FaPAL, FaMDH and FaME) was confirmed in Nicotiana via the transient expression assay, which provides further evidence for the role of those genes in metabolism of strawberry fruit. The results of the present study may serve as an important resource for the functional analysis of the proteome and offer new perspectives on regulation of fruit quality.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2019 |
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| Erschienen: |
2019 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:9 |
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| Enthalten in: |
RSC advances - 9(2019), 25 vom: 07. Mai, Seite 14093-14108 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Li, Li [VerfasserIn] |
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| Links: |
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| Themen: |
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| Anmerkungen: |
Date Revised 07.05.2022 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1039/c9ra00549h |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM340478721 |
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| 520 | |a This journal is © The Royal Society of Chemistry. | ||
| 520 | |a Profound metabolic and proteomic changes involved in the primary and the secondary metabolism are required for the ripeness of fleshy fruit such as strawberries (Fragaria × ananassa). Here we present the quantitative proteomic profiling in parallel with metabolic and transcriptional profiling at five developmental stages of strawberry fruit ripening, and correlations between changes in representative metabolites and the abundance of related proteins were analyzed. Hierarchical clustering analysis of the quantitative proteomic profiling identified 143 proteins in strawberry fruit across five developmental stages. Meanwhile, both protein abundance and gene expression spanned a wide range of roles, such as the primary and the secondary metabolism, defense system, and response to stress stimuli. The decreased abundance of proteins contributed to the carbohydrate metabolism and the up-regulated expression of secondary biosynthetic proteins was found to be positively correlated with the accumulation of primary and secondary metabolites during strawberry development. Moreover, with the same annotations and high homology, the gene function of key genes involved in primary and secondary metabolism (FaTPI, FaPAL, FaMDH and FaME) was confirmed in Nicotiana via the transient expression assay, which provides further evidence for the role of those genes in metabolism of strawberry fruit. The results of the present study may serve as an important resource for the functional analysis of the proteome and offer new perspectives on regulation of fruit quality | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Wu, Qiong |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Youyong |e verfasserin |4 aut | |
| 700 | 1 | |a Aghdam, Morteza Soleimani |e verfasserin |4 aut | |
| 700 | 1 | |a Ban, Zhaojun |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Xiaochen |e verfasserin |4 aut | |
| 700 | 1 | |a Lu, Hongyan |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Dong |e verfasserin |4 aut | |
| 700 | 1 | |a Yan, Jiawei |e verfasserin |4 aut | |
| 700 | 1 | |a Limwachiranon, Jarukitt |e verfasserin |4 aut | |
| 700 | 1 | |a Luo, Zisheng |e verfasserin |4 aut | |
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