酵母基因组中基因表达水平的统计分析

发布时间：2019-03-29 18:10

【摘要】：酿酒酵母是第一个完成全基因组测序工作的真核生物。由于全基因组中基因数量比较少,且结构简单,遗传背景也相对清楚,所以酿酒酵母被广泛作为真核模式生物。目前酿酒酵母在基因功能分析、转录组、蛋白质组等多个层次上的研究取得了飞速的发展。酿酒酵母在现代分子生物学和细胞生物学的研究中发挥了重要作用。利用人类基因组和高等生物与酿酒酵母基因组之间的组织结构和编码顺序上的同源性,不但可以为我们研究高等生物的生命提供良好的参考模型,而且也可以为人类基因组的研究提供良好积极的借鉴。本论文首先基于酿酒酵母全基因组的核苷酸序列,基因表达水平数据,基因编码蛋白质的功能分类数据,以及基因的重要性分类(必要和非必要基因)构建了用于统计分析的酿酒酵母表达分析数据库。从酿酒酵母基因的序列特征、功能分类与网络调控等多个方面对基因表达水平变化进行了研究。研究表明:1、基因表达水平的变化与基因功能相关,功能重要的基因倾向于在细胞周期各时间段稳定表达。2、基因表达水平的变化与基因的折叠稳定性和tRNA拷贝数相关,基因的折叠稳定性越低其表达水平在各阶段的变化越大,而较低的tRNA拷贝数也倾向于使基因的表达水平出现较大变化。3、基因共表达网络分析表明基因表达水平变化与其协同共表达的基因数呈显著正相关。
[Abstract]:Saccharomyces cerevisiae is the first eukaryotes to complete genome-wide sequencing. Saccharomyces cerevisiae is widely used as eukaryotes because of the small number of genes in the whole genome, simple structure and relatively clear genetic background. At present, Saccharomyces cerevisiae has made rapid development in gene function analysis, transcriptome, proteome and so on. Saccharomyces cerevisiae plays an important role in the research of modern molecular biology and cell biology. Making use of the homology of tissue structure and coding sequence between human genome and higher organism and Saccharomyces cerevisiae genome can not only provide a good reference model for us to study the life of higher organisms. And it can also provide a good and positive reference for the study of human genome. Firstly, based on the nucleotide sequence of the whole genome of Saccharomyces cerevisiae, the data of gene expression level, the functional classification data of gene coding protein, The database of Saccharomyces cerevisiae expression analysis for statistical analysis was constructed. The changes of gene expression level in Saccharomyces cerevisiae were studied in terms of sequence characteristics, functional classification and network regulation. The results showed that: 1, the change of gene expression level was related to gene function, and the genes with important function tended to express stably in each period of cell cycle. 2. The change of gene expression level was related to the folding stability of gene and the copy number of tRNA, and the change of gene expression level was related to gene folding stability and copy number. The lower the folding stability of the gene is, the greater the expression level changes at all stages, and the lower the copy number of tRNA tends to make the gene expression level change greatly. 3, The analysis of coexpression network showed that there was a significant positive correlation between the level of gene expression and the number of co-expressed genes.
【学位授予单位】：河北工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：Q78

【参考文献】