scholarly journals Distribution of seed protein fractions and amino acids in different anatomical parts of chickpea (Cicer arietinum L.) and pigeonpea (Cajanus cajan L.)

1982 ◽  
Vol 31 (4) ◽  
pp. 347-354 ◽  
Author(s):  
U. Singh ◽  
R. Jambunathan

2009 ◽  
Vol 5 (2) ◽  
pp. 618-625 ◽  
Author(s):  
Yu-Wei Chang ◽  
Inteaz Alli ◽  
Aline T. Molina ◽  
Yasuo Konishi ◽  
Joyce I. Boye








2015 ◽  
Vol 117 ◽  
pp. 72-80 ◽  
Author(s):  
Pratibha Tripathi ◽  
Poonam C. Singh ◽  
Aradhana Mishra ◽  
Rudra D. Tripathi ◽  
Chandra S. Nautiyal


2012 ◽  
Vol 95 (4) ◽  
pp. 1142-1152 ◽  
Author(s):  
Hari Charan Meher ◽  
Vijay T Gajbhiye ◽  
Ghanendra Singh

Abstract A bottleneck in crosstalk and QC research has been the quantification of diverse chemotypes in small amounts of tissue. An LC-UV method for estimating 28 selected metabolites of the regulatory network underlying growth, development, maintenance, vital functions, defense reactions, and food quality is reported. The method was based on binary gradient resolutions of the analytes in an RP C18 column. The mobile phase comprised solvent A [water + 0.1% trifluoroacetic acid (TFA)] and B (acetonitrile + 0.085% TFA at a flow rate of 1 mL/min. Twenty-three metabolites (selected amino acids, coenzymes, growth regulators, phenolic antioxidant, and water-soluble vitamins) were detected at 254 nm, and four fat-soluble vitamins at 280 nm. Jasmonic acid was quantified at 210 nm. The RSDs of peak area and retention time for each metabolite were <5.8%. The calibration graphs were linear with R2 values ranging from 0.98 to 0.99. The LODs (μg/mL) were about 0.01–1.0 for 23 metabolites quantified at 254 nm, 0.1–0.2 for fat-soluble vitamins, and 0.1 for jasmonic acid. The recoveries ranged from 80 to 105%, with RSDs of 2.8 to 11.2%. The method has been satisfactorily applied for determination of 28 metabolites from Cicer arietinum (L.) and Solanum lycopersicum (L.). It could be an alternative and competitive method of choice that can cheaply and easily perform routine analysis for food quality and targeted metabolomics of chickpea and tomato in response to stressors.



2017 ◽  
Vol 9 (2) ◽  
pp. 706-709
Author(s):  
M. Chittora ◽  
A. Sukhwal ◽  
Chandraveer Chandraveer ◽  
G. Verma

SDS-PAGE technique was used for the study of seed protein polymorphism among three genotypes of Cicer arietinum with different seed coat colour. A total of 24 polypeptide bands were recorded. Out of these 20 were common among all three genotypes and 4 (16.66%) were polymorphic. The data analysis using UPGMA clustering revealed that genotypes with C2 (dark brown) and C3 (black) were closer as compared to genotype with C1 (light brown) coat colour. Jaccard similarity coefficient value ranged from 0.87 to 0.92. The similarity matrix was subjected to UPGMA clustering to generate dendrogram. The most closely revealed genotypes were C2 (dark brown) and C3 (black) with the highest similarity index 0.92 whereas, C1 (light brown) showed minimum similarity index with C3 (black) genotype 0.87. Each of three genotypes of C.arietinum had some polypeptide bands which were peculiar to them only. This enabled distinguishing all three genotypes on the basis of specific polypeptide fragments using SDS-PAGE analysis.



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