NDLI: Metabolite profiling and assessment of metabolome compartmentation of soybean leaves using non-aqueous fractionation and GC-MS analysis

Content Provider	Springer Nature Link
Author	Benkeblia, ureddine Shina, Takuro Osaki, Mitsuru
Copyright Year	2007
Abstract	In the present study, non-aqueous fractionation (NAQF) and GC-MS were used to obtain a spatially resolved view of metabolism in mature leaves of soybean (Glycine max Merr.). NAQF of lyophilized soybean leaves was performed using CCl$_{4}$-n-heptane and ultracentrifugation that yielded a gradient comprised of six fractions. Chlorophyll content, and marker enzyme activities, phosphoenolpyruvate carboxylase (PEPC) and α-mannosidase, were utilized as stroma, cytosol and vacuole markers, respectively. GC-MS analyses of each fraction resulted in the identification of around 100 different metabolites. The distribution of these identified compounds showed a decreasing order from the vacuole to cytosol to chloroplast stroma. In other words, a greater number of identified compounds were found in the vacuole when compared to the cytosol or stroma.Levels of sugars, organic acids and fatty acids showed greater relative abundances in the vacuole with 50, 55, and 50% of the respective pools. A greater relative abundance of amino acids was observed in the cytosol where 45% of the total of amino acids content was recorded. The relatively large pool of sugars and phenolic acids in the vacuole compartment implies high levels of starch metabolism and phenylpropanoid biosynthesis. The low amino acids pool, on the other hand, suggests low nitrogen accumulation in the leaves of soybean. Hierarchical cluster analysis on the most abundant metabolites revealed three clusters containing 10, 20, and 2 of the 32 selected metabolites. The data were discussed in term of NAQF and GC-MS analysis of soybean mature leaves, and also in term of distribution and compartmentation of metabolites at subcellular levels.
Starting Page	297
Ending Page	305
Page Count	9
File Format	PDF
ISSN	15733882
Journal	Metabolomics
Volume Number	3
Issue Number	3
e-ISSN	15733890
Language	English
Publisher	Springer US
Publisher Date	2007-08-31
Publisher Institution	Metabolomics Society
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Compartmentation GC-MS Metabolome Non-aqueous fractionation Metabolite Profiling Soybean (Glycine max Merr.) Biomedicine general Developmental Biology Cell Biology Molecular Medicine Biochemistry
Content Type	Text
Resource Type	Article
Subject	Endocrinology, Diabetes and Metabolism Clinical Biochemistry Biochemistry

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Metabolite profiling and assessment of metabolome compartmentation of soybean leaves using non-aqueous fractionation and GC-MS analysis

Use of chemical ionization for GC–MS metabolite profiling

Metabolite profiling of maize grain: differentiation due to genetics and environment

LC-MS based global metabolite profiling of grapes: solvent extraction protocol optimisation

Decision tree supported substructure prediction of metabolites from GC-MS profiles

Metabolomic changes in Caenorhabditis elegans lifespan mutants as evident from GC–EI–MS and GC–APCI–TOF–MS profiling

Profiling of central metabolism in human cancer cells by two-dimensional NMR, GC-MS analysis, and isotopomer modeling

Understanding the Jasmine phenotype of rice through metabolite profiling and sensory evaluation

Profiling of phenolic glycosidic conjugates in leaves of Arabidopsis thaliana using LC/MS

Metabolite profiling and assessment of metabolome compartmentation of soybean leaves using non-aqueous fractionation and GC-MS analysis

Similar Documents

Metabolite profiling and assessment of metabolome compartmentation of soybean leaves using non-aqueous fractionation and GC-MS analysis

Use of chemical ionization for GC–MS metabolite profiling

Metabolite profiling of maize grain: differentiation due to genetics and environment

LC-MS based global metabolite profiling of grapes: solvent extraction protocol optimisation

Decision tree supported substructure prediction of metabolites from GC-MS profiles

Metabolomic changes in Caenorhabditis elegans lifespan mutants as evident from GC–EI–MS and GC–APCI–TOF–MS profiling

Profiling of central metabolism in human cancer cells by two-dimensional NMR, GC-MS analysis, and isotopomer modeling

Understanding the Jasmine phenotype of rice through metabolite profiling and sensory evaluation

Profiling of phenolic glycosidic conjugates in leaves of Arabidopsis thaliana using LC/MS

Metabolite profiling and assessment of metabolome compartmentation of soybean leaves using non-aqueous fractionation and GC-MS analysis