PXD014920

PXD014920 is an original dataset announced via ProteomeXchange.

Title	Network analyses and data integration of proteomics and metabolomics from leaves of two contrasting varieties of sugarcane in response to drought
Description	Uncovering the molecular mechanisms involved in the responses of crops to drought is crucial to understand and enhance drought tolerance mechanisms. Sugarcane (Saccharum spp.) is an important commercial crop cultivated mainly in tropical and subtropical areas for sucrose and ethanol production. Usually, drought tolerance has been investigated by single omics analysis (e.g. global transcripts identification). Here we combine label-free quantitative proteomics and metabolomics data (GC-TOF-MS), using a network-based approach, to understand how two contrasting commercial varieties of sugarcane, CTC15 (tolerant) and SP90-3414 (susceptible), adjust their leaf metabolism in response to drought. To this aim, we propose the utilization of regularized canonical correlation analysis (rCCA), which is a modification of classical CCA, and explores the linear relationships between two datasets of quantitative variables from the same experimental units, with a threshold set to 0.99. Light curves revealed that after four days of drought, the susceptible variety had its photosynthetic rate already significantly reduced, while the tolerant cultivar did not show major reduction. Upon twelve days of drought, the susceptible plants had the photosynthetic rate completely reduced, while the tolerant cultivar was at a third of its maximum. Our results provide a reference data set and demonstrate that rCCA can be a powerful tool to infer experimentally metabolite-protein or protein-metabolite associations to understand plant biology.
HostingRepository	PRIDE
AnnounceDate	2024-10-22
AnnouncementXML	Submission_2024-10-22_04:58:53.994.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Thais Cataldi
SpeciesList	scientific name: Saccharum sp.; NCBI TaxID: 15819;
ModificationList	monohydroxylated residue; iodoacetamide derivatized residue
Instrument	Synapt MS

Revision	Datetime	Status	ChangeLog Entry
0	2019-08-05 08:29:07	ID requested
1	2020-01-06 05:27:25	announced
⏵ 2	2024-10-22 04:58:58	announced	2024-10-22: Updated project metadata.

Budzinski IGF, de Moraes FE, Cataldi TR, Franceschini LM, Labate CA, Network Analyses and Data Integration of Proteomics and Metabolomics From Leaves of Two Contrasting Varieties of Sugarcane in Response to Drought. Front Plant Sci, 10():1524(2019) [pubmed]

10.3389/fpls.2019.01524;

submitter keyword: canonical correlation analysis, label-free quantitative proteomics, metabolomics,drought

Carlos Alberto Labate
contact affiliation	ESALQ
contact email	calabate@usp.br
lab head
Thais Cataldi
contact affiliation	ESALQ USP
contact email	thais.cataldi@usp.br
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD014920
     1. Label: PRIDE project
     2. Name: Network analyses and data integration of proteomics and metabolomics from leaves of two contrasting varieties of sugarcane in response to drought