Amino acid profiling of Sorghum bicolor vis-à-vis Chilo partellus (Swinhoe) for biochemical interactions and plant resistance

2017 ◽  
Vol 11 (4) ◽  
pp. 537-550 ◽  
Author(s):  
Mukesh K. Dhillon ◽  
Sandeep Kumar
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Vaijayanti A. Tamhane ◽  
Surhud S. Sant ◽  
Abhilash R. Jadhav ◽  
Abdul R. War ◽  
Hari C. Sharma ◽  
...  

Abstract Background Spotted stem borer- Chilo partellus - a Lepidopteran insect pest of Sorghum bicolor is responsible for major economic losses. It is an oligophagous pest, which bores through the plant stem, causing ‘deadheart’ and hampering the development of the main cob. We applied a label-free quantitative proteomics approach on three genotypes of S. bicolor with differential resistance/ susceptibility to insect pests, intending to identify the S. bicolor’s systemic protein complement contributing to C. partellus tolerance. Methods The proteomes of S. bicolor with variable resistance to insect pests, ICSV700, IS2205 (resistant) and Swarna (susceptible) were investigated and compared using label-free quantitative proteomics to identify putative leaf proteins contributing to resistance to C. partellus. Results The multivariate analysis on a total of 967 proteins led to the identification of proteins correlating with insect resistance/susceptibility of S. bicolor. Upon C. partellus infestation S. bicolor responded by suppression of protein and amino acid biosynthesis, and induction of proteins involved in maintaining photosynthesis and responding to stresses. The gene ontology analysis revealed that C. partellus-responsive proteins in resistant S. bicolor genotypes were mainly involved in stress and defense, small molecule biosynthesis, amino acid metabolism, catalytic and translation regulation activities. At steady-state, the resistant S. bicolor genotypes displayed at least two-fold higher numbers of unique proteins than the susceptible genotype Swarna, mostly involved in catalytic activities. Gene expression analysis of selected candidates was performed on S. bicolor by artificial induction to mimic C. partellus infestation. Conclusion The collection of identified proteins differentially expressed in resistant S. bicolor, are interesting candidates for further elucidation of their role in defense against insect pests.


2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Chang Xu ◽  
Xin Li ◽  
Debin Zeng ◽  
Ying Liu ◽  
Yuhang Gao ◽  
...  

Type 2 diabetes mellitus (T2DM) has become a major disease threatening human health worldwide. At present, the treatment of T2DM cannot cure diabetes and is prone to many side effects. Psidium guajava L. leaves have been reported to possess hypoglycemic activity, and they have been widely used in diabetes treatment in the folk. However, the antidiabetic mechanism has not been clearly explained. Also, the change in amino acid profile can reflect a metabolic disorder and provide insights into system-wide changes in response to physiological challenges or disease processes. The study found that P. guajava L. leaves can decrease fasting blood glucose and lipid levels in type 2 diabetic rats induced by streptozotocin. Through the analysis of amino acid profiling following 20 days of gavage administration, the concentration data were modeled by principal component analysis and orthogonal partial least squares discriminant analysis to find the different metabolites and related metabolic pathways (including cysteine and methionine metabolism, valine, leucine, and isoleucine biosynthesis, phenylalanine, tyrosine, and tryptophan biosynthesis) for the explanation of the hypoglycemic mechanism of P. guajava L., which provides an experimental and theoretical basis for diabetes prediction and for the development of new drugs for the treatment of diabetes.


1983 ◽  
Vol 4 (04) ◽  
pp. 407-413 ◽  
Author(s):  
B. U. Singh ◽  
B. S. Rana ◽  
B. B. Reddy ◽  
N. G. P. Rao

2007 ◽  
Vol 28 (9) ◽  
pp. 1371-1379 ◽  
Author(s):  
Brad J. Williams ◽  
Carson J. Cameron ◽  
Ronald Workman ◽  
Corey D. Broeckling ◽  
Lloyd W. Sumner ◽  
...  

1996 ◽  
Vol 722 (1-2) ◽  
pp. 303-309 ◽  
Author(s):  
Kyoung Rae Kim ◽  
Jung Han Kim ◽  
Eun-ji Cheong ◽  
Chan-min Jeong

Talanta ◽  
2010 ◽  
Vol 83 (2) ◽  
pp. 513-520 ◽  
Author(s):  
Małgorzata Jaworska ◽  
Zofia Szulińska ◽  
Małgorzata Wilk ◽  
Elżbieta Anuszewska

Amino Acids ◽  
2019 ◽  
Vol 51 (3) ◽  
pp. 367-371 ◽  
Author(s):  
Edyta Socha ◽  
Marcin Koba ◽  
Piotr Kośliński

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