2017 Fiscal Year Final Research Report
Development of prediction methods for intestinal phage-bacteria associations from metagenomic data by hierarchical Bayesian model
| Project/Area Number |
16K16144
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Life / Health / Medical informatics
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| Research Institution | The University of Tokyo |
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Principal Investigator |
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| Project Period (FY) |
2016-04-01 – 2018-03-31
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| Keywords | 細菌・ファージ感染関係 / メタゲノム / ウイルス分類 / プロファージ / CRISPR / 腸内ウイルス |
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| Outline of Final Research Achievements |
The intestine contains commensal viruses, the majority of which are unidentified bacteriophages (phages). This study revealed many genomes of unknown phages by reconstructing them from metagenomic sequence reads. To understand infectious hosts of the unknown phages, I developed prediction methods of phage-bacteria infectious association based on the phage genomic sequence remaining in the host bacterial genome. After validating the prediction methods, I analyzed the infectious associations of intestinal bacteria / phage in healthy humans and obtained knowledge on symbiotic relationship between phage and bacteria.
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| Free Research Field |
バイオインフォマティクス
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