[4N3-IS-1b] Knowledge engineering (2/3)

[4N3-IS-1b-03] Metagenome analysis of two river microbial flora for modeling river microbial diversity

〇Jin Michel Ogawa¹, Tamao Saito¹, Ikuko Eguchi YAIRI¹ (1. Sophia University)

Keywords:Bioinfomatics, microbiome, metagenome analysis

The microbiome drifting through the upper stream to downstream are considered to be affected by innumerable natural or artificial factors. Caching up the changing of microbiome from these factors has the great importance for social to make the novel index of environment pollution and health safety. Since DNA sequencing technology improved these days, the number of studying river metagenome are increasing and the feature of changing river microbiome are surveyed. However, the predictable models for river microbiome are still not understandable yet.In this study, we found the effective factors of microbiome from two river, Tama river and Sinos river, located from nature-close to city-close area and examined the possibility of constructing predictable models for river microbiome by comparing with each river.Our result showed that both Tama river and Sinos river preserved the microbiome in upper stream through the time, and in downstream of Tama river has the stable microbiome, and microbiome of Sinos river indicate that microbiome shift by longitudinal water flow.