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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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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Project description:According to the Canadian Food Inspection Agency and Health Canada, genetically modified crops are considered safe if they are substantially equivalent to a conventional crop in regards to agronomic, physiological and compositional characteristics. A recurring issue in safety assessment of genetically modified crops is the paucity of analytical methods to detect unintended or unexpected outcomes of genetic modification. Traditional targeted compound comparative analyses are limited in scope and capacity to detect unintended changes in chemical composition. This study explored the potential of using microarray technology to assess the substantial equivalence of gene expression profiles between genetically modified and conventional soybean cultivars. Different pre processing methods were applied to the raw expression data from the arrays, and clustering methods were used to try and differentiate the genetically modified cultivars from the conventional cultivars. Results showed that more variation existed between different strains of conventional cultivars than between conventional and genetically modified cultivars. For more information, please see: Cheng, K.C., Beaulieu, J., Iquira, E., Belzile, F.J., Fortin, M.G. and StrÃ¶mvik, M.V. (2008). âEffect of transgenes on global gene expression in soybean is within the natural range of variation of their conventional counterparts.â Journal of Agricultural and Food Chemistry (in press) Experiment Overall Design: Five samples (biological replicates) of total RNA from each of the five different soybean varieties were selected for hybridization to Affymetrix Soybean GeneChips, for a total of 25 chips (following total RNA integrity assessment). Spike controls B2, bio-B, bio-C, bio-D and Cre-x were added to each hybridization cocktail. Arrays were washed and stained in an Affymetrix Fluidics Station prior to scanning on the Affymetrix GeneChip Scanner 3000. Image acquisition and processing was done with the Affymetrix Microarray Analysis Suite 5.0.

Dataset Information

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

Publications

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

Similar Datasets

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