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PXD024034

PXD024034 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleTranscriptomic, proteomic, and physiological comparative analyses of flooding mitigation of the damage induced by low-temperature stress in direct seeded early indica rice at the seedling stage
DescriptionBackground: Low temperature (LT) often occurs at the seedling stage in the early rice-growing season, especially for direct seeded early-season indica rice, and using flooding irrigation can mitigate LT damage in rice seedlings. The molecular mechanism by which flooding mitigates the damage induced by LT stress has not been fully elucidated. Thus, LT stress at 8C, LT accompanied by flooding (LTF) and CK (control) treatments were established for three days to determine the transcriptomic, proteomic and physiological response in direct seeded rice seedlings at the seedling stage. Results: LT damaged chloroplasts, and thylakoid lamellae, and increased osmiophilic bodies and starch grains compared to CK, but LTF alleviated the damage to chloroplast structure caused by LT. The physiological characteristics of treated plants showed that compared with LT, LTF significantly increased the contents of rubisco, chlorophyll, PEPCK, ATP and GA3 but significantly decreased soluble protein, MDA and ABA contents. 4D-label-free quantitative proteomic profiling showed that photosynthesis-responsive proteins, such as phytochrome, as well as chlorophyll and the tricarboxylic acid cycle were significantly downregulated in LT/CK and LTF/CK comparison groups. However, compared with LT, phytochrome, chlorophyllide oxygenase activity and the glucan branching enzyme in LTF were significantly upregulated in rice leaves. Transcriptomic and proteomic studies identified 72818 transcripts and 5639 proteins, and 4983 genes that were identified at both the transcriptome and proteome levels. Differentially expressed genes (DEGs) and differentially expressed proteins (DEPs) were significantly enriched in glycine, serine and threonine metabolism, biosynthesis of secondary metabolites, glycolysis/gluconeogenesis and metabolic pathways. Conclusion: Through transcriptomic, proteomic and physiological analyses, we determined that a variety of metabolic pathway changes were induced by LT and LTF. GO and KEGG enrichment analyses demonstrated that DEGs and DEPs were associated with photosynthesis pathways, antioxidant enzymes and energy metabolism pathway-related proteins. Our study provided new insights for efforts to reduce the damage to direct seeded rice caused by low-temperature stress and provided a breeding target for low temperature flooding-resistant cultivars. Further analysis of translational regulation and metabolites may help to elucidate the molecular mechanisms by which flooding mitigates low-temperature stress in direct seeded early indica rice at the seedling stage.
HostingRepositoryPRIDE
AnnounceDate2021-09-10
AnnouncementXMLSubmission_2021-09-10_00:28:42.506.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterWenxia Wang
SpeciesList scientific name: Oryza sativa (Rice); NCBI TaxID: 4530;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive Plus
Dataset History
RevisionDatetimeStatusChangeLog Entry
02021-02-07 23:59:03ID requested
12021-09-10 00:28:43announced
Publication List
Wang W, Du J, Chen L, Zeng Y, Tan X, Shi Q, Pan X, Wu Z, Zeng Y, Transcriptomic, proteomic, and physiological comparative analyses of flooding mitigation of the damage induced by low-temperature stress in direct seeded early indica rice at the seedling stage. BMC Genomics, 22(1):176(2021) [pubmed]
Keyword List
submitter keyword: Rice
Low temperature
Flooding
Proteome
Transcriptome
Physiological traits.
Contact List
Wenxia wang
contact affiliationJiangxi Agricultural University
contact email15797688640@163.com
lab head
Wenxia Wang
contact affiliationJiangxi Agricultural University
contact email15797688640@163.com
dataset submitter
Full Dataset Link List
Dataset FTP location
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