以人工智慧及宏觀基因體學解析微生物群系再造之高效率生物整治

  • 刊登日期: 2021-02-10
申請系所(單位) 環境工程系
計畫主持人 張書奇 副教授 ( 個人網頁 )
計畫名稱(中文) 以人工智慧及宏觀基因體學解析微生物群系再造之高效率生物整治
計畫名稱(英文) Unraveling the secrets of microbiome reengineering for highly efficient bioremediation by artificial intelligence and metagenomics
共同主持人 1. 胡仲祺 教授 / 生科所 2. 林明德 教授 / 環工系
協同主持人 吳俊霖 教授 / 資工系
中文摘要
英文摘要 Trichloroethylene (TCE) was a widely-applied industrial solvents but now a notorious contaminant in groundwater. Due to the wave of green remediation, anaerobic reductive dechlorination was considered as a more sustainable remediation strategy for TCE-contaminated aquifer. However, the accumulation of toxic intermediates, cis-1,2-dichloroethene (cis-1,2-DCE) and vinyl chloride (VC), and longer remediation time are of high concerns. To accelerate the bioremediation, biostimulation and bioaugmentation have been developed for decades. The former may not be effective and the latter may introduce foreign genes. Here, we have developed a new approach, microbiome reengineering (MBRE), by heat selection of indigenous cultures and has achieved more than 70-folds improvement in TCE biodegradation rate. However, other major environmental variables have not been tested yet. Thus, in this study, we tested heat, pH, salinity, and desiccation by using Taguchi method. A full-length sequencing technology was applied to the 16S ribosomal RNA (rRNA) genes of all samples. The results showed that the optimum selecting conditions were 50ºC, pH 9, 100% sea water salinity, and 60% water content. In the batch test, group 7 (G7) and original culture (OC) performed best, and these two groups were selected to proceed a re-spike test. In this re-spike test, G7 have finished the complete conversion of TCE to ethene in three days, the fastest in the literature. In the 16S rRNA sequencing data, a new association was found of Dehalococcoides mccartyi with Desulfuromonas michiganensis and Cloacibacillus porcorum. Four environmental variables can enhance or inhibit different functions of the microbial community based on FAPROTAX function prediction and redundancy analysis also confirmed that all variables showed different directions that they can modify the structure of the community. These results suggested that MBRE could be an ideal approach for rapid bioremediation of TCE-contaminated aquifers.