Association analysis between human digestive tract microbiome and medical indicators using high-throughput sequencing and bioinformatics approaches
| Autor: | Chen, Hui-Mei, 陳卉玫 |
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| Rok vydání: | 2019 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 107 The human microbiome consists of human metabolites, microbiota, and microbial metabolites. Advances in high-throughput sequencing technology improve our knowledge of microbiome in the human body. To understand how the human microbiome coexists with their host in a dynamic system, we have to clarify the species and their functions in different parts of the human body. The human microbiota mainly inhabits in the digestive tract. The purpose of the dissertation is to establish the downstream analysis platform of 16S rRNA gene amplicon sequencing for investigating into the relationship between the digestive tract microbiome and the clinical and biological indicators among Taiwanese population. This platform integrates the current open-source of bioinformatics tools which assess the quality of sequencing raw reads and construct microbial functional profiling as well as statistics and machine learning method. Using the analytics platform to the saliva microbiome, we found that the changes of the relative abundance of the five genera Bacillus, Enterococcus, Parvimonas, Peptostreptococcus, and Slackia could be a signal that the oral cavity environment would be changing from precancerous lesion to oral cancer condition. Using the analysis platform, we also found that omnivore, overweight, male Taiwanese adults were separated into two groups based on the ratio of Prevotella to the sum of Prevotella and Bacteroides in the fecal samples. Also, mineral absorption metabolism and arachidonic acid metabolism differed significantly between the two groups. Depending on their fecal type, the variance of triglycerides and C-reactive protein also differed between the two types of participants. Therefore, using the analytical principles of this dissertation, it will extend to other parts of the digestive tract, and systematically understand the effects of individual digestive tract microbes on their health and disease. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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