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Study Of Heat Stress Responsive Gene Features In Prokaryotes

Posted on:2015-03-14Degree:MasterType:Thesis
Country:ChinaCandidate:H XiongFull Text:PDF
GTID:2250330428956912Subject:Biochemistry and Molecular Biology
Abstract/Summary:PDF Full Text Request
Prokaryotic gene expression is environment-dependent and temperature plays an important role in shaping the gene expression profile. Revealing the regulation mechanisms of gene expression pertaining to temperature has attracted tremendous efforts in recent years particularly owning to the yielding of transcriptome and proteome data by high-throughput techniques. However, most of the previous works concentrated on the characterization of the gene expression profile of individual organism and little effort has been made to disclose the commonality among organisms, especially for the gene sequence features. In this report, we collected the transcriptome and proteome data measured under heat stress condition from recently published literature and studied the sequence features for the expression level of heat-responsive genes on multiple layers. Our results showed that there indeed exist commonness and consistent patterns of the sequence features among organisms for the differentially expressed genes under heat stress condition. Some features are attributed to the requirement of thermostability while some are dominated by gene function. The revealed sequence features of bacterial gene expression level under heat stress complement the knowledge about the regulation factors of prokaryotic gene expression responding to the change of environmental conditions. Furthermore, comparisons to thermophilic adaption have been performed to reveal the similarity and dissimilarity of the sequence features for the response to heat stress and for the adaption to high habitat temperature, which elucidates the complex landscape of gene expression related to the same physical factor of temperature. Finally, based on the studied sequence features, we adopted Machine Learning and Principal Component Analysis to construct a quantitative indicator for predicting gene expression level under heat stress. In addition, we developed database and web-sever for the storage and access of the collected data.
Keywords/Search Tags:Gene Expression, Heat Stress, Gene Regulation, Prokaryotes, TemperatureAdaptation
PDF Full Text Request
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