North Eastern Hill University

About: North Eastern Hill University is a education organization based out in Shillong, Meghalaya, India. It is known for research contribution in the topics: Population & Ruthenium. The organization has 2318 authors who have published 4476 publications receiving 48894 citations.

Short-chain fatty acid and vitamin production potentials of Lactobacillus isolated from fermented foods of Khasi Tribes, Meghalaya, India

Abstract: Vitamins and SCFA (short-chain fatty acids) production from Lactobacillus isolates are studied due to its health benefits to the human hosts. Lactobacillus strains are widely used in fermented foods, and few of them are reported with vitamin and SCFA production potential. Therefore, in the present study, vitamins and SCFA production capability of isolates were studied to find the potent Lactobacillus cultures for value-added functional food product development. Five Lactobacillus strains, i.e., KGL2, KGL3A, KGL4, RNS4, and WTS4, were isolated from rice-based traditional fermented foods of Garo Hills, Meghalaya, India. All the well grown isolates were morphologically, physiologically, and genetically characterized. Then, vitamins and SCFA were estimated using HPLC based methods. Vitamins produced in vitamins free assay medium and SCFA in milk medium are produced by Lactobacillus. Lactic acid bacteria produce essential vitamins like riboflavin, folate, cobalamin, and SCFA which have health impacts (anti-obesity, anti-diabetics, anti-microbial, and other chronic diseases prevention) to the host. These vitamins are essential for cellular and metabolic growth of living system. In the study, five potent Lactobacillus isolates viz., KGL2 (Lactobacillus fermentum), KGL3A (Lactobacillus plantarum), KGL4 (Lactobacillus fermentum), RNS4 (Lactobacillus rhamnosus), and WTS4 (Lactobacillus fermentum) were considered for vitamins (B2, B12, and B9) and SCFA productions (lactate, butyrate, and acetate). However, KGL3A had shown highest B2 production (0.7 μg/ml) while KGL2 exhibited maximum B12 production (0.05 μg/ml) after 36 h. Moreover, WTS4 attributed highest folate production (0.09 μg/ml) after 24 h. In addition, RNS4 reported the maximum short-chain fatty acid production (0.77 g/l acetic acid, 0.26 g/l lactic acid, and 0.008 g/l butyric acid respectively). Potent Lactobacillus isolates from traditional fermented foods of Garo Hills, Meghalaya, India (North East Part of India) showed maximum production of B2, B9, and B12 as well as short-chain fatty acids and could be used for their application as health beneficial functional fermented dairy products.

Empirical Validity of Value Added Intellectual Coefficient Model in Indian Knowledge-based Sector

Abstract: The purpose of this study is to investigate empirically the validity of the basic propositions of value added intellectual coefficient (VAIC) and extend VAIC models in Indian knowledge-based sector...

Construction of Gene Regulatory Networks Using Recurrent Neural Networks and Swarm Intelligence.

Abstract: We have proposed a methodology for the reverse engineering of biologically plausible gene regulatory networks from temporal genetic expression data. We have used established information and the fundamental mathematical theory for this purpose. We have employed the Recurrent Neural Network formalism to extract the underlying dynamics present in the time series expression data accurately. We have introduced a new hybrid swarm intelligence framework for the accurate training of the model parameters. The proposed methodology has been first applied to a small artificial network, and the results obtained suggest that it can produce the best results available in the contemporary literature, to the best of our knowledge. Subsequently, we have implemented our proposed framework on experimental (in vivo) datasets. Finally, we have investigated two medium sized genetic networks (in silico) extracted from GeneNetWeaver, to understand how the proposed algorithm scales up with network size. Additionally, we have implemented our proposed algorithm with half the number of time points. The results indicate that a reduction of 50% in the number of time points does not have an effect on the accuracy of the proposed methodology significantly, with a maximum of just over 15% deterioration in the worst case.