Proteomics

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Application of Simulation Model to Uncover the Mechanisms of Flooding Tolerance and Difference between Flooding and Drought in Soybean

ABSTRACT: To decipher stress responses under flooding and drought as well as flooding-tolerant mechanisms in soybean, the mathematic biological approach of simulation model was applied. Furthermore, wild-type soybean with ABA treatment and flooding-tolerant mutant line, which displayed flooding tolerance, were used as the flooding-tolerant materials. Proteins acquired by gel-free/label-free proteomic technique were used for simulation model of responses under different stresses and flooding tolerant.

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Glycine Max

TISSUE(S): Plant Cell, Root

DISEASE(S): Wounds And Injuries

SUBMITTER: Wang Xin  

LAB HEAD: Setsuko Komatsu

PROVIDER: PXD005680 | Pride | 2018-10-26

REPOSITORIES: Pride

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Dataset's files

Source:
Action DRS
R120.mgf Mgf
R120.msf Msf
R120.pep.xml Pepxml
R120.raw Raw
R130.mgf Mgf
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Publications

An Integrated Approach of Proteomics and Computational Genetic Modification Effectiveness Analysis to Uncover the Mechanisms of Flood Tolerance in Soybeans.

Wang Xin X   Sakata Katsumi K   Komatsu Setsuko S  

International journal of molecular sciences 20180426 5

Flooding negatively affects the growth of soybeans. Recently, omic approaches have been used to study abiotic stress responses in plants. To explore flood-tolerant genes in soybeans, an integrated approach of proteomics and computational genetic modification effectiveness analysis was applied to the soybean (<i>Glycine max</i> L. (Merrill)). Flood-tolerant mutant and abscisic acid (ABA)-treated soybean plants were used as the flood-tolerant materials. Among the primary metabolism, glycolysis, fe  ...[more]

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