Soil microbial community analysis to identify syntrophic relationships between microbes

2014 Fiscal Year Final Research Report

• Project/Area Number: 24770015
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Ecology/Environment
• Research Institution: Tokyo Institute of Technology
• Principal Investigator: MORI Hiroshi 東京工業大学, 生命理工学研究科, 助教 (40610837)
• Project Period (FY): 2012-04-01 – 2015-03-31
• Keywords: 細菌群集 / 代謝 / メタゲノム / バイオインフォマティクス

Outline of Final Research Achievements

We conducted a bioinformatics analysis of a time-series metagenomic sequencing data of a soil microbial community with the aromatic compounds pollution. Developing and using the bioinformatics method to efficiently identify fluctuating genes and taxa in time-series metagenomic data, we identified a catalog of fluctuating taxa and genes during aromatic compounds degradation in the soil. In addition, we developed a tool VITCOMIC2 which can (i) identify 16S rRNA gene sequences in metagenome sequence data with minimum false positive rate, (ii) assign taxonomy of the sequences, and (iii) calculate taxonomic composition of the sample.

Free Research Field

微生物生態学・バイオインフォマティクス