Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gel-based and gel-free proteome data associated with controlled deterioration treatment of Glycine max seeds.

ABSTRACT: Data presented here are associated with the article: "In-depth proteomic analysis of soybean (Glycine max) seeds during controlled deterioration treatment (CDT) reveals a shift in seed metabolism" (Min et al., 2017) [1]. Seed deterioration is one of the major problems, affecting the seed quality, viability, and vigor in a negative manner. Here, we display the gel-based and gel-free proteomic data, associated with the CDT in soybean seeds. The present data was obtained from 2-DE, shotgun proteomic analysis (label-free quantitative proteomic analysis) using Q-Exactive, and gene ontology analysis associated with CDT in soybean seeds (Min et al., 2017) [1].

SUBMITTER: Min CW

PROVIDER: S-EPMC5645486 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Gel-based and gel-free proteome data associated with controlled deterioration treatment of <i>Glycine max</i> seeds.

Min Cheol Woo CW Lee Seo Hyun SH Cheon Ye Eun YE Han Won Young WY Ko Jong Min JM Kang Hang Won HW Kim Yong Chul YC Agrawal Ganesh Kumar GK Rakwal Randeep R Gupta Ravi R Kim Sun Tae ST

Data in brief 20171002

Data presented here are associated with the article: "In-depth proteomic analysis of soybean (<i>Glycine max</i>) seeds during controlled deterioration treatment (CDT) reveals a shift in seed metabolism" (Min et al., 2017) [1]. Seed deterioration is one of the major problems, affecting the seed quality, viability, and vigor in a negative manner. Here, we display the gel-based and gel-free proteomic data, associated with the CDT in soybean seeds. The present data was obtained from 2-DE, shotgun p ...[more]

PMID: 29062869

Similar Datasets

Proteomic analysis of Glycine max seeds during controlled deterioration treatment

Project description:Controlled deterioration treatment (CDT) negatively affects the seed quality and vigor during post-harvest storage. A label-free proteomic approach was utilized to understand the CDT responses in soybean seeds. Soybean seed are rich in seed-storage proteins (SSPs) constituting up to 70 to 80% of the total seed protein content. Due to the presence of these SSPs, it is very difficult to identify and/or characterize the low-abundance regulatory proteins. Availability of appropriate methods for extraction of low-abundance proteins (LAPs) are now providing a platform for the identification of novel proteins involved in the signal perception and transduction during environmental perturbations. To enrich LAPs, the extracted total seed proteins were subjected to protamine sulfate precipitation (PSP) method to deplete SSPs. Fractionated protein fractions thus prepared were analyzed for identification of differential proteins using Label-free quantitative proteomics approaches.

2017-10-10 | PXD006064 | Pride

Proteome data associated with the leaf senescence in Glycine max.

Project description:The data presented in this article are associated with the article "Coupling of gel-based 2-DE and 1-DE shotgun proteomics approaches to dig deep into the leaf senescence proteome of Glycine max" (R. Gupta, S.J. Lee, C.W. Min, S.W. Kim, K.-H. Park, D.-W. Bae, et al., 2016) [1]. Leaf senescence is one of the important aspects of the life cycle of a plant that leads to the recycling of nutrients from source to sink cells. To understand the leaf senescence-associated proteins, we used a combination of gel-based 2-DE and 1-DE shotgun proteomic approaches. Here, we display the 2-DE, Mass spectrometry, and Gene ontology data related with the leaf senescence in soybean [1].

| S-EPMC5013252 | biostudies-other

Nutritional evaluation and transcriptome analyses of short-time germinated seeds in soybean (Glycine max L. Merri.).

Project description:Germination is a common practice for nutrition improvement in many crops. In soybean, the nutrient value and genome-wide gene expression pattern of whole seeds germinated for short-time has not been fully investigated. In this study, protein content (PC), water soluble protein content (WSPC), isoflavone compositions were evaluated at 0 and 36 h after germination (HAG), respectively. The results showed that at 36HAG, PC was slightly decreased (P > 0.05) in ZD41, J58 and JHD, WSPC and free isoflavone (aglycones: daidzein, genistein, and glycitein) were significantly increased (P < 0.05), while total isoflavone content was unchanged. Transcriptomic analysis identified 5240, 6840 and 15,766 DEGs in different time point comparisons, respectively. GO and KEGG analysis showed that photosynthesis process was significantly activated from 18HAG, and alternative splicing might play an important role during germination in a complex manner. Response to hydrogen peroxide (H2O2) was found to be down regulated significantly from 18 to 36HAG, suggesting that H2O2 might play an important role in germination. Expression pattern analysis showed the synthesis of storage proteins was slowing down, while the genes coding for protein degradation (peptidase and protease) were up regulated as time went by during germination. For genes involved in isoflavone metabolism pathway, UGT (7-O-glucosyltransferase) coding genes were significantly up regulated (40 up-DEGs vs 27 down-DEGs), while MAT (7-O-glucoside-6''-O-malonyltransferase) coding genes were down regulated, which might explain the increase of aglycones after germination. This study provided a universal transcriptomic atlas for whole soybean seeds germination in terms of nutrition and gene regulation mechanism.

| S-EPMC8608788 | biostudies-literature

Microbiome of Soybean (Glycine max L.) Rhizosphere from Free State, South Africa.

Project description:Soybean develop a symbiotic relationship with the rhizospheric microbial communities. These organisms are important in maintaining soybean growth and health. Soil samples for this study were collected from Free State, South Africa. We present the microbiome of the soybean rhizosphere and its functional categories at level 1 of the SEED subsystem.

| S-EPMC9670945 | biostudies-literature

Seeds bacteria of Glycine max

Project description:Seeds endophytic bacteria of Glycine max Raw sequence reads

| PRJNA1019790 | ENA

Preparation and Irreversible Inhibition Mechanism Insight into a Recombinant Kunitz Trypsin Inhibitor from Glycine max L. Seeds.

Project description:Soybean Kunitz trypsin inhibitor (SKTI), extracted from soybean (Glycine max L.) seeds, possesses insect resistance and anti-tumor properties. But its specific mechanisms of action are not yet known. This article reports an efficient method to produce recombinant SKTI (rSKTI) in Escherichia coli, reveals some biochemical properties of rSKTI, and discusses the inhibition mechanism of SKTI. The rSKTI was expressed as inclusion body in E. coli BL21 (DE3). After refolding, the active rSKTI was obtained and was further purified with anion-exchange chromatography (DEAE-FF) efficiently. There were similar biochemical properties between SKTI and rSKTI. The optimum pH and the optimum temperature were pH 8.0 and 35 °C, respectively, being stable during pH 7.0-11.0 and below 37 °C. The activity against trypsin was inhibited by Co2+, Mn2+, Fe3+, Al3+, and epoxy chloropropane. Inhibition kinetic assay of SKTI against trypsin as Lineweaver-Burk plots analysis both showed an unchanged Km and a decreased Vmax with N-benzoyl-L-arginine ethyl ester (BAEE) as substrate. Molecular modeling showed Arg63 of SKTI (active residue of SKTI) that interacts with four residues of trypsin, including three catalytic site (His57, Asp102, and Ser195) and one binding site (Asp189), forming five interactions. These provide reference for understanding the inhibition mechanism of such kind of Kunitz trypsin inhibitors.

| S-EPMC7320042 | biostudies-literature

Metabolite Contents and Antioxidant Activities of Soybean (Glycine max (L.) Merrill) Seeds of Different Seed Coat Colors.

Project description:Seed coat color is one of the main agronomical traits that determine the chemical quality of soybean seeds and has been used as a parameter during cultivar development. In this study, seeds of yellow (n = 10), greenish-yellow (n = 5), and light-yellow (n = 4) soybean accessions were evaluated for their contents of total protein, total oil, total phenolic (TPC), and five prominent fatty acids including palmitic acid (PA), stearic acid (SA), oleic acid (OA), linoleic acid (LA), and linolenic acid (LLA), relative to a control cultivar, and the effect of seed coat color on each was investigated. Antioxidant activity was also evaluated using 1,1-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity, Trolox equivalent antioxidant capacity (TEAC), and ferric reducing antioxidant power (FRAP). The results showed significant variations of metabolite contents and antioxidant activities between the soybeans. The average TPC, DPPH-radical scavenging activity, and FRAP were each in the order of greenish-yellow > yellow > light-yellow soybeans. In contrast, light-yellow soybeans contained a high level of OA and low levels of SA, LA, and LLA, each except LA differing significantly from yellow and greenish-yellow soybeans (p < 0.05). Our findings suggest that greenish-yellow and light-yellow soybeans could be good sources of antioxidants and high-quality soybean oil, respectively.

| S-EPMC8388989 | biostudies-literature

Detection and Characterization of Gene Expression Differences in Transgenic Glycine max Seeds with RNAseq

Project description:Transformation of Glycine max with seed-targeted expression vectors via Agrobacterium causes measurable unscripted gene expression changes in the seed transcriptome

2015-10-04 | GSE64620 | GEO

Identifying conserved and novel miRNAs in germinating seeds of Glycine max using deep sequencing

Project description:MicroRNAs (miRNAs) are important post-transcriptional regulators of plant development. In soybean (Glycine max), an important edible oil crop, valuable lipids are synthesized and stored in the cotyledons during embryogenesis .This storage lipids are used as energy source of the emerging seeds, during the germination procces. Until now, there are no microRNAs related to lipid metabolism in soybean or any other plant. This work aims to describe the miRNAome of germinating seeds of B. napus by identifying plant-conserved and novel miRNAs and comparing miRNA abundance in mature versus germinating seeds. A total of 183 familes were detected through a computational analysis of a large number of reads obtained from deep sequencing from two small RNA libraries of (i) pooled germintaing seeds stages and (ii) mature soybean seeds. We have found 39 new mirna precursors which produce 41 new mature forms. The present work also have identified isomiRNAs and mirnas offset (moRNAs). This work presents a comprehensive study of the miRNA transcriptome of soybean germinating seeds and will provide a basis for future research on more targeted studies of individual miRNAs and their functions in lipid consumption in development soybean seeds.

2015-05-25 | GSE38373 | GEO

Metabolomic Variability of Different Soybean Genotypes: β-Carotene-Enhanced (Glycine max), Wild (Glycine soja), and Hybrid (Glycine max × Glycine soja) Soybeans.

Project description:We obtained a new hybrid soybean (Hybrid) by hybridizing β-carotene-enhanced soybean (BCE; Glycine max L.) containing the phytoene synthase-2A-carotene desaturase gene and wild-type soybean (Wild; Glycine soja). To investigate metabolic changes between variants, we performed metabolic profiling of leaves (three growth stages) and seeds. Multivariate analyses revealed significant metabolic differences between genotypes in seeds and leaves, with seeds showing accumulation of phytosterols, tocopherols, and carotenoids (BCE only), indicating co-induction of the methylerythritol 4-phosphate and mevalonic acid pathways. Additionally, Hybrid produced intermediate levels of carotenoids and high levels of amino acids. Principal component analysis revealed metabolic discrimination between growth stages of soybean leaves and identified differences in leaf groups according to different genotypes at 8, 12, and 16 weeks, with Wild showing higher levels of environmental stress-related compounds relative to BCE and Hybrid leaves. The metabolic profiling approach could be a useful tool to identify metabolic links in various soybean cultivars.

| S-EPMC8535314 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data