Metagenome Analysis of Two River Microbial Flora for Modeling River Microbial Diversity

Abstract

The microbiome drifting through the upper stream to downstream is considered to be affected by innumerable natural or artificial factors. Caching up the changing microbiome from these factors is essential for society 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 understood yet. In this study, we found the influential factors of the microbiome from two rivers, Thames river, and Sinos river, examined the possibility of constructing predictable models for river microbiome by comparing with each river. Our result showed that both the Thames river and Sinos river indicate microbiome shift by longitudinal water flow. The result of the Thames river shows that the tributaries microbiome has a more negligible effect on the mainstream microbiome.