In silico analysis, annotation and characterisation of putative ESTs from Sorghum bicolor associated with heat stress

Q4 Health Professions
Gobind Ram, A. Sharma
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引用次数: 0

Abstract

Owing to their sessile nature, plants experience a variety of environmental stresses, but tolerance to these adverse conditions is a very complex phenomenon. Among all stresses, heat stress is the most important constraint that affects plant yield in rain-fed areas. To shed some light on candidate genes involved in heat stress, sequences potentially associated with heat shock resistance were retrieved and identified by in silico analysis using the public sequence database of various plants. A total of 30,000 EST sequences were mined and 24 putative ESTs associated with heat stress were picked up for further studies. In silico analysis revealed that all ESTs were linked with the HSP family. Gene Ontology (GO) analysis revealed that the deduced protein sequences of the heat-linked 24 ESTs were involved in various biological pathways regulating heat stress response. Hydropathy analysis revealed that all protein sequences were hydrophilic in nature. Based on the phylogenetic analysis, all HSP-related protein sequences were divided into seven groups. Analysis of cis-elements provides molecular evidence for the possible involvement of hydrophilic ESTs in the process of abiotic stress tolerance in sorghum. Based on these results, it was suggested that putative ESTs may play an important role in heat stress tolerance.
与热胁迫相关的高粱双色基因est的硅分析、注释和表征
由于它们的无根性,植物经历了各种环境胁迫,但对这些不利条件的耐受性是一个非常复杂的现象。在所有胁迫中,热胁迫是影响雨养地区植物产量的最重要的制约因素。为了揭示与热胁迫有关的候选基因,利用各种植物的公共序列数据库,检索和鉴定了可能与热休克抗性相关的序列。总共挖掘了30,000个EST序列,并挑选了24个与热应激相关的推定EST用于进一步研究。计算机分析显示,所有ESTs都与HSP家族有关。基因本体(Gene Ontology, GO)分析表明,热连锁的24条ESTs的蛋白序列参与了调节热应激反应的多种生物学途径。亲水性分析表明,所有蛋白序列都具有亲水性。根据系统发育分析,将所有热休克蛋白相关蛋白序列分为7组。顺式元件的分析为亲水est可能参与高粱非生物胁迫耐受过程提供了分子证据。基于这些结果,我们认为ESTs可能在耐热性中起重要作用。
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来源期刊
International Journal of Bioinformatics Research and Applications
International Journal of Bioinformatics Research and Applications Health Professions-Health Information Management
CiteScore
0.60
自引率
0.00%
发文量
26
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.
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