Diversity and evolution of the envelope gene of dengue virus type 1 circulating in India in recent times

Q4 Health Professions

International Journal of Bioinformatics Research and Applications Pub Date : 2015-11-01 DOI:10.1504/IJBRA.2015.073235

S. Dey, A. Nandy, P. Nandy, Sukhen Das

引用次数: 3

Abstract

Dengue viral attacks have been reported in various parts of India in recent years. In this paper we report on our studies of the characterisation and evolutionary aspects of gene sequences of the envelope glycoprotein of the prevalent Indian dengue virus type 1. Comparison with sequences from other countries shows that the envelope genes identified in India are closely related to strains from Malaysia. From the evolutionary point of view the envelope gene sequences of this dengue virus of India for past few years show that a marked mutational shift in the nucleotide sequences of the envelope gene have taken place from around the year 2000. Also, phylogenetic relationship with other three sera of dengue virus reported in India from 2005 shows that the dengue virus 1 is more closely related to dengue viruses 3 and 4 and relatively distantly to dengue virus 2.

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最近在印度流行的1型登革热病毒包膜基因的多样性和进化

近年来，印度各地都有登革热病毒袭击的报道。在这篇论文中，我们报告了我们对流行的印度登革热病毒1型包膜糖蛋白基因序列的特征和进化方面的研究。与其他国家的序列比较表明，在印度鉴定的包膜基因与来自马来西亚的菌株密切相关。从进化的角度来看，过去几年印度登革热病毒的包膜基因序列表明，包膜基因的核苷酸序列从2000年左右开始发生了显著的突变。此外，2005年在印度报告的与其他三种登革热病毒血清的系统发育关系表明，登革热病毒1与登革热病毒3和4的关系更为密切，与登革热病毒2的关系相对较远。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Bioinformatics Research and Applications Health Professions-Health Information Management

CiteScore

0.60

自引率

0.00%

发文量

期刊介绍： Bioinformatics is an interdisciplinary research field that combines biology, computer science, mathematics and statistics into a broad-based field that will have profound impacts on all fields of biology. The emphasis of IJBRA is on basic bioinformatics research methods, tool development, performance evaluation and their applications in biology. IJBRA addresses the most innovative developments, research issues and solutions in bioinformatics and computational biology and their applications. Topics covered include Databases, bio-grid, system biology Biomedical image processing, modelling and simulation Bio-ontology and data mining, DNA assembly, clustering, mapping Computational genomics/proteomics Silico technology: computational intelligence, high performance computing E-health, telemedicine Gene expression, microarrays, identification, annotation Genetic algorithms, fuzzy logic, neural networks, data visualisation Hidden Markov models, machine learning, support vector machines Molecular evolution, phylogeny, modelling, simulation, sequence analysis Parallel algorithms/architectures, computational structural biology Phylogeny reconstruction algorithms, physiome, protein structure prediction Sequence assembly, search, alignment Signalling/computational biomedical data engineering Simulated annealing, statistical analysis, stochastic grammars.