2022 Fiscal Year Final Research Report
Bacterial Genome and Microbiota Analysis Based on Short Nucleotide Sequences and Its Application to Halitosis Prediction by Machine Learning
| Project/Area Number |
20K12068
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 62010:Life, health and medical informatics-related
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| Research Institution | Nihon University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
谷口 奈央 福岡歯科大学, 口腔歯学部, 教授 (60372885)
渡辺 孝康 日本大学, 歯学部, 講師 (70725514)
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Keywords | 口腔細菌 / 系統樹 / メタゲノム / 細菌叢 |
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| Outline of Final Research Achievements |
We have developed and released a program for phylogenetic analysis based on the frequency of penta-nucleotide sequences. The results were published in PLOS One.
On the other hand, metagenomic analysis of oral bacteria in saliva samples obtained so far showed that most of the bacteria from which DNA was derived were from well-known oral bacteria, and phylogenetic tree analysis based on the frequency of penta-nucleotide sequences allowed comparison of similarities in oral microbiota in a manner independent of nucleotide sequence homology. The phylogenetic tree analysis based on the frequency of penta-nucleotide sequences allowed us to compare the similarity of oral bacterial flora in a sequence-independent manner.
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| Free Research Field |
分子生物学
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| Academic Significance and Societal Importance of the Research Achievements |
近縁種の系統解析はもっとも簡単で広く利用されている方法として16S rRNA遺伝子の塩基配列の相同性に基づく手法があるが、近縁種ではその配列の相同性が高すぎて系統解析ができない場合が少なくない。そのようなときに用いられる手法にmulti-locus sequence analysisがあるが、標的遺伝子を決めるのに多大な労力と時間を要求するものとなっている。今回報告した５塩基配列の出現頻度による系統解析は、そのような遺伝子の相同性に依存しない手法であり、遺伝子情報がまったくなくても何の準備もなく解析が実行できるものであり、それをアプリ化したことにより、広くその解析法を提供できる成果といえる。
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