| 英文摘要 |
This study investigates the possibility of applying microbial community profile changes to pollution source identification. In the first-year study, sediment microcosm was established and exposed to copper sulfate. In addition, water and sediments were sampled from a local river to verify the results. The results showed that Aeromonadaceae, Burkholderiales_incertae_sedis, Caldilineaceae, Chloroflexi, Firmicutes, Planctomycetaceae, Pseudomonodaceae, and Xanthobacteraceae can be found from microcosm, river sediments and factory discharge. And, the correlation analysis showed that Burkholderiaceae, Hydrogenophilaceae, Methylophilaceae, Chitinophagaceae, and Flavobacteriaceae were closely related to copper concentration. In the second year, sediments and water samples from both upstream and downstream of an actual industrial park discharging point were collected and analyzed. These samples will be used to verify the possibility of using the microbial change analysis as a pollution source identification. 16S-rRNA gene amplicon sequencing was performed for all 5 sediment samples collected from the river receiving industrial discharge and metagenomics function from each sample was estimated by PICRUSt (v1.1.3). In addition, whole sediment genome was also analyzed by illumnia shot gun sequencing. The amplicon sequencing results showed that Microscillaceae and Geobacteraceae were increased after discharging point. The Hydrogenophilaceae and Gallionaellaceae were two groups mostly affected by the industrial discharge. Especially, the Hydrogenophilaceae group is in agreement as the finding from the first year’s results. The results from PICRUSt estimation, there were 20 gene functions were affected by the industrial discharge, within those function, calcium signal pathway and photosynthesis – antenna proteins were the two major functions affected significantly by the industrial discharge, and may be considered as functional gene indicators in the future. From the whole genome analysis, the metal related (Cu, Zn, Cr) ATPase activity (transporting or exporting) gene expressed highest impact from the industrial discharge. It can also be considered and indicating functional gene for the future applications.
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