Indian Agricultural Statistics Research Institute

About: Indian Agricultural Statistics Research Institute is a facility organization based out in New Delhi, India. It is known for research contribution in the topics: Population & Small area estimation. The organization has 454 authors who have published 870 publications receiving 7987 citations.

Molecular modeling and dynamics study of nonsynonymous SNP in bread wheat HSP16.9B gene

Abstract: An ubiquitous molecular chaperon, small heat shock proteins (sHSP) maintain protein homeostasis under stress conditions. Single nucleotide polymorphism was predicted in HSP16.9B gene but so far its impact on protein structure has not been extensively studied. Keeping this point in mind, we applied computational methods and performed molecular dynamics simulation to examine the effect of aspartic acid substitution for asparagine at 11th position (D11N) in HSP16.9B. Furthermore, the secondary structural analysis revealed an addition of beta sheet before the mutation point in the mutant protein. Three dimensional protein structure modeling, validation of structures and molecular dynamics were performed to study the mechanism of the non-synonymous single nucleotide polymorphism on structural changes. The root mean square deviation (RMSD) result showed the stability of the mutated structure throughout simulations. Moreover, root mean square fluctuation (RMSF) of atoms and Hydrogen-bond patterns further supported our results.

Sumoylation May Play an Important Role in Modification of Large Number of Proteins Associated with Heat Stress in Plants

Abstract: Heat stress is an important factor affecting the agricultural production. At the molecular level post translational modifications have been shown to be influenced in plants under heat stress. The authors have studied palmitoylation, sumoylation, S-nitrosylation and nitration in the plant gene sequences associated or not associated with heat stress. In the present paper it has been shown that sumoylation is an important property which is possibly influences a large number of proteins associated with heat stress in a wide variety of plants. This property can be utilized for identifying novel sequences associated with heat stress in plants.

Software process model for agricultural productivity analysis

Abstract: Software Process Model for Agricultural Productivity Analysis refers to the various steps required to be executed for development of a web based software model for analysis of agricultural productivity. The paper presents different steps in developing the software for agricultural productivity analysis.

Application of genomic selection in agriculture

Abstract: Traditional breeding technique for genetic improvement of crops are based on, information on phenotypes and pedigrees to predict breeding values, has been found very successful. But, genetic gain through this technique is found to be very slow, time consuming. However, Due to availability of latest DNA sequencing technologies, now it is possible to estimate breeding values more accurately by using information on variation in DNA sequence. Lots of research has been done in direction of marker assisted selection, still it has some limitation on its implementation. Genomic selection (GS) is proposed to overcome such limitation. GS is a form of marker-assisted selection in which genetic markers covering the whole genome are used. GS predicts breeding value using information available on phenotype and high density marker. Several techniques has been developed for selection and prediction of genotype, these techniques are based on analysis of genotypic and phenotypic data.

Detection of novel key residues of MnSOD enzyme and its role in salinity management across species.

Abstract: Every living organism is persistently exposed to stress from its surrounding ecosystem throughout its life. Salinity is one such abiotic stress, which enforces natural boundaries on caloric and nutritional potential of agricultural yield and considered as a major impediment to global food security, due to the accumulation of salt in water or soil medium hampering the growth of the organisms living in that medium (Hussain et al. 2010). Salinity inhibits growth and development of plants by imposing osmotic stress that leads to limitation in water uptake and chemical stress by ion disequilibrium (Abogadallah 2010). In such extreme conditions, certain plants survive in dormant stage during stress condition, while a few tolerate it by developing some avoidance mechanism and morphological changes (Flowers et al. 1986). The plants incapable of coping with salinity are known as salt-sensitive plants (glycophytes), whereas the plants (around 2%) that can cope with high salinity are referred as halophytes (Glenn and Brown 1999). One of the major biochemical changes that occur inside the cells during salt stress is the overproduction of reactive oxygen species (ROS; Rahnama and Ebrahimzadeh 2006). Salt stress limits the gas exchange phenomena, which ultimately reduce the CO2 supply to leaves. This leads to the production of more ROS due to reduction of the photosynthetic electron transport chain (Ashraf 2009). In turn, excess ROS produced cause damage to proteins, lipids and DNA, leading to cell death by protein denaturation, lipid peroxidation and DNA mutation, respectively (Alscher et al. 2002). Superoxide dismutase (SOD) is one of the antioxidative enzymes, acting