以模擬底泥反應槽之菌群分布作為鑑識銅汙染源指標

Copper Pollution Source Identification by Microbial Community Profiling of Sediment Microcosm

周鈺錩(Yu-Chang Chou)

指導教授 ： 童心欣

國立臺灣大學/工學院/環境工程學研究所/碩士(2020年)

https://doi.org/10.6342/NTU202004236

摘要

本研究探討以底泥微生物菌群變化作為銅污染源鑑識之可行性。研究方法以模擬河川底泥反應槽進行分析，以河水添加不同濃度硫酸銅連續暴露底泥的方式進行研究。反應槽取用老街溪河水及底泥，於河水中添加硫酸銅作為進流，每周定時採取進出流分析，並於第0、14、28、56天取底泥樣品，對其萃取出的核酸進行次世代定序，檢測微生物菌群變化。藉由相關性分析及樣品微生物族群受底泥模擬接觸反應槽環境條件影響分析各自找出了與銅濃度具有相關性之菌屬，將兩者結果比對後篩選出之菌屬分別為Levilinea、Ornatilnea、Longilinea、Methylocystis、Mycobacterium、Sulfuricella、Candidatus Cloacamonas、Ignavibacterium、以及Subdivision3_genera_incertae_sedis此9屬。此9菌屬有機會以其族群變化作為銅污染鑑識技術的可能性。未來建議增加現地試驗驗證後可利用其消長變化作為鑑識污染來源的指標。

關鍵字

銅 ； 硫酸銅 ； 底泥 ； 微生物菌群分布 ； 次世代定序

並列摘要

This study investigates the possibility of applying microbial community profile changes of sediments to copper pollution source identification. Sediment microcosm monitoring was used in this study. 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. And, crude nucleic acids in sediments were also extracted, cleaned and sent for 16S r-RNA gene amplicon sequencing by next generation sequencing with MiSeq platform (Illumina). The microbial sequence results from the sediment microcosms with Pearson correlation analysis and canonical correspondence analysis, showed that the abundance of Levilinea, Ornatilnea, Longilinea, Methylocystis, Mycobacterium, Sulfuricella, Candidatus Cloacamonas, Ignavibacterium and Subdivision3_genera_incertae_sedis were correlated with copper concentration in microcosm. These families were possible candidates for copper pollution source tracking in rivers or streams.

並列關鍵字

copper ； copper sulfate ； sediments ； microbial community profile ； next generation sequencing

參考文獻

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