Dataset Information

Quantitative proteomics analysis of soybean leaves under low and high phosphate conditions

ABSTRACT: Low phosphate (LP) availability is a critical limiting factor affecting soybean production. Soybean plants develop a series of strategies to adapt phosphate limitation condition. To know the underlying molecular mechanisms responsible for LP stress response. A label-free quantification (LFQ) analysis of soybean leaves grown under low and high phosphate condition was performed.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Glycine Max

TISSUE(S): Leaf

SUBMITTER: Man Li

LAB HEAD: Wenfei Wang

PROVIDER: PXD023343 | Pride | 2021-09-09

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	Maxquant_txt.zip	Other
	Soybean_LPBiomaker_HP1.raw	Raw
	Soybean_LPBiomaker_HP2.raw	Raw
	Soybean_LPBiomaker_HP3.raw	Raw
	Soybean_LPBiomaker_LP1.raw	Raw

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Publications

Quantitative Proteomics Reveals that GmENO2 Proteins Are Involved in Response to Phosphate Starvation in the Leaves of <i>Glycine max</i> L.

Cheng Ling L Min Wanling W Li Man M Zhou Lili L Hsu Chuan-Chih CC Yang Xuelian X Jiang Xue X Ruan Zhijie Z Zhong Yongjia Y Wang Zhi-Yong ZY Wang Wenfei W

International journal of molecular sciences 20210118 2

Soybean (<i>Glycine max</i> L.) is a major crop providing important source for protein and oil for human life. Low phosphate (LP) availability is a critical limiting factor affecting soybean production. Soybean plants develop a series of strategies to adapt to phosphate (Pi) limitation condition. However, the underlying molecular mechanisms responsible for LP stress response remain largely unknown. Here, we performed a label-free quantification (LFQ) analysis of soybean leaves grown under low an ...[more]

PMID: 33477636

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