| 英文摘要 |
This study investigates the possibility of applying microbial community profile changes to pollution source identification. Due to the time constraint on this project, two directions were deployed simultaneously. One is a laboratory scale sediment microcosm monitoring, the other is field investigation. In the sediment microcosm, river water spiked with different concentrations of copper sulfate was used as the influent and cultured for 8 weeks. Water samples (influents and effluents) were collected periodically, and sediments were collected at 0, 2nd, 4th, and 8th weeks. Field sampling were performed 3 times up to date. Chemical parameters such as nitrate, phosphate, and heavy metal concentrations were analyzed for all water samples from both reactor and field samples. And, crude nucleic acids were also extracted, cleaned and sent for 16S r-RNA gene amplicon sequencing by next generation sequencing with MiSeq platform (Illumina). The results showed that copper sulfate may accumulate in the reactor sediments and may reduce nitrification processes. For the field study, water samples show increasing trends of chloride in both water and sediments from river upstream to downstream. And, high concentrations of metals were observed in several sampling sites along the river. The microbial sequence results from the sediment microcosms, river sediments, river waters, and factory effluents showed that Aeromonadaceae, Burkholderiales_incertae_sedis, Caldilineaceae, Chloroflexi, Firmicutes, Planctomycetaceae, Pseudomonodaceae, and Xanthobacteraceae were observed in all samples and were correlated with copper concentration in CCA analysis. In addition, the abundance of Burkholderiaceae, Hydrogenophilaceae, Methylophilaceae, Chitinophagaceae, and Flavobacteriaceae from were correlated with copper sulfate exposures in microcosm sediments. With proper field testing to verify their repeatability and reproducibility, these families were possible candidates for copper pollution source tracking in rivers or streams.
|