PXD010227 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | iTRAQ-based quantitative proteomic analysis reveals proteomic changes in leaves of mulberry in response to drought stress |
Description | Mulberry (Morus alba) is a fast-growing perennial woody plant with a long cultivation history in China and a distribution throughout the country. To date, the molecular mechanism of mulberry response to abiotic stress is little known. In the present study, proteomics data were collected from the leaves of the mulberry cultivar Neo-Ichinose (Japan) under drought stress and analyzed. In total, 2871 proteins were quantified, among which 267 proteins were differentially expressed. A Gene Ontology enrichment analysis indicated that the molecular functions of the up-regulated proteins were mainly related to glutathione peroxidase activity, hydrolase activity, oxidoreductase activity, peroxidase activity and antioxidant activity. Protein domain enrichment analysis showed that the most important protein domains were associated with glutathione peroxidase, glycoside hydrolase, and chaperones. Additionally, a functional enrichment analysis demonstrated that the main metabolic pathways of mulberry seedlings in response to drought stress were arachidonic acid metabolism and glutathione metabolism, which were up-regulated, and chlorophyll and porphyrin metabolism and glycerol metabolism, which were down-regulated. Additionally, many proteins related to osmotic adjustment and stress signal transduction were evoked by drought. Taken together, these results suggested that redox control and osmotic adjustment mediated by multiple signaling pathways dominated the drought response of mulberry and that antioxidant proteins and enzymes, especially glutathione peroxidase, played vital roles in the redox rebalance of mulberry under stress. |
HostingRepository | PRIDE |
AnnounceDate | 2023-11-14 |
AnnouncementXML | Submission_2023-11-14_07:09:26.573.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | suzhen huang |
SpeciesList | scientific name: Morus alba; NCBI TaxID: 3498; |
ModificationList | No PTMs are included in the dataset |
Instrument | Q Exactive Plus |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2018-06-26 05:19:30 | ID requested | |
1 | 2022-10-13 03:08:19 | announced | |
⏵ 2 | 2023-11-14 07:09:27 | announced | 2023-11-14: Updated project metadata. |
Publication List
Zhang M, Li W, Li S, Gao J, Gan T, Li Q, Bao L, Jiao F, Su C, Qian Y, Quantitative Proteomics and Functional Characterization Reveal That Glutathione Peroxidases Act as Important Antioxidant Regulators in Mulberry Response to Drought Stress. Plants (Basel), 11(18):(2022) [pubmed] |
Keyword List
curator keyword: Biological |
submitter keyword: drought stress |
proteome |
iTRAQ |
Contact List
Yong Hua Qian |
contact affiliation | College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China |
contact email | qyh@nwsuaf.edu.cn |
lab head | |
suzhen huang |
contact affiliation | PTM |
contact email | 13920817975@163.com |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD010227
- Label: PRIDE project
- Name: iTRAQ-based quantitative proteomic analysis reveals proteomic changes in leaves of mulberry in response to drought stress