Dataset Information

Network analyses and data integration of proteomics and metabolomics from leaves of two contrasting varieties of sugarcane in response to drought

ABSTRACT: 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.

INSTRUMENT(S): Synapt MS

ORGANISM(S): Saccharum Sp.

TISSUE(S): Plant Cell, Leaf

SUBMITTER: Thais Cataldi

LAB HEAD: Carlos Alberto Labate

PROVIDER: PXD014920 | Pride | 2020-01-02

REPOSITORIES: Pride

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Dataset's files

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			Action	DRS
	12DI_1_CTC_F001.raw.rar	Raw
	12DI_1_CTC_F001_Pep3D_Spectrum.xml	Xml
	12DI_1_CTC_F002.raw.rar	Raw
	12DI_1_CTC_F002_Pep3D_Spectrum.xml	Xml
	12DI_1_CTC_F003.raw.rar	Raw

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Publications

Network Analyses and Data Integration of Proteomics and Metabolomics From Leaves of Two Contrasting Varieties of Sugarcane in Response to Drought.

Budzinski Ilara Gabriela Frasson IGF de Moraes Fabricio Edgar FE Cataldi Thais Regiani TR Franceschini Lívia Maria LM Labate Carlos Alberto CA

Frontiers in plant science 20191128

Uncovering the molecular mechanisms involved in the responses of crops to drought is crucial to understand and enhance drought tolerance mechanisms. Sugarcane (<i>Saccharum</i> 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- ...[more]

PMID: 31850025

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