跳到主要內容 :::

年度	105	專案性質	實驗性質
專案類別	研究專案	研究主題	評估
申請機構	國立高雄海洋科技大學	申請系所	海洋環境工程學系
專案主持人	陳秋妏	職等/職稱	教授
專案中文名稱	結合生物毒性測試及環境代謝體學進行高雄港底泥生態風險評估
中文關鍵字	底泥,重金屬,環境代謝體,生物毒性,生態風險評估
專案英文名稱	Integration of Biotoxicity Test and Environmrntal Metabolomics for Ecological Risk Assessment of Kaohsiung Harbor Sediments
英文關鍵字	Biotoxicity; Environmental Metabolomics; Sediment; Kaohsiung harbor
執行金額	1,140,000元
執行期間	2015/11/17 至 2016/11/16
計畫中文摘要	陸源性受污染的水源進入到港區，使得水域中的底泥成為污染物長期累積的儲存庫，因此底泥在生態環境中化學物質的水地化循環中扮演重要的角色。而高雄港上游河流的廢水每天大量地將污染物輸進高雄港。為了研究高雄港底泥的生態風險，我們應用環境代謝組學的方法，來研究海洋端足類Hyalella azteca的暴露在不同環境因素下，其影響的生理和代謝途徑。從不同位置收集到高雄港的底泥，包括愛河(LR)，第五船渠(CR)，前鎮河(JR)，以及鹽水溪(SR)四河的流入口。這些河流流經高度的民生活動和工業區域。另外，高雄港1號入港口(E1)作為一個參考測站。我們分別針對五個樣點進行包括物化分析、重金屬及PAH等分析。顯示E1底泥的粒徑較大，屬於沙質，而重金屬和PAH等污染物均為較低，其餘樣點並無一致的污染物趨勢。成熟雌性端足類暴露在不同的底泥10日後，以核磁共振光譜學和多變量統計進行其生物體的代謝組學分析。偏最小二乘判別分析(PLS-DA)的結果顯示端足類萃取物顯著地分成2組：(HE，LR，CR)和(JR，SR)，再將VIP>0.9及ROC curve的AUC>0.9的代謝物，共有homocystine, isocaproate, levulinate, methylmalonate, methylsuccinate, N-acetylglutamate, oxalacetate, pimelate, proline, suberate, theophylline, threonine, trimethylamine N-oxide, tryptophan, valerate, valine, valproate等代謝物為可能的生物標記。結果表明，核磁共振的代謝組學研究方法可用於鑑定被污染物污染的生物體反應的有效方法，且能篩選出可能的代謝物生物標記。本計畫同時亦利用此平台，以銅對端足類測試其毒性，以及尋找其影響的代謝物，發現端足類暴露於高濃度的銅離子環境下，valine及isocaproate很顯著地表現，顯現未來將可陸續依此平台來進行不同單一或多種重金屬影響下的代謝反應，開發可當檢測的生物標記。
計畫英文摘要	Aquatic sediment is a long-term sink of all pollutants, therefore it has played an important role in the biohydrologeochemical cycle of chemical species in the ecological environment. Inflow of waste water from upstream rivers bring large flux of pollutants entering the Kaohsiung Harbor daily. In order to reveal the ecological risk of Kaohsiung Harbor sediments, we have applied an ecological metabolomic approach to investigate environmental factors pertinent to physiological and metabolic pathways of a marine amphipod Hyalella azteca, at the molecular levels, after exposure to sediments collected from different location in the Kaohsiung Harbor including the stream inlet of four rivers of Love River (LR), Canon River (CR), Jen-Gen River (JR), and Salt River (SR). These rivers are flowing through region of high human and industry activities. Additional, an harbor entrance 1 (E1) was selected as a reference site. We analysed the sediment particle sizes, heavy metals and PAHs. In E1, the particle size was the largest belonging to sand, and the heavy metals and PAHs were the lowest in the sampling sites. In addition, there was no consistent trend of pollutant concentrations in the other sampling sites. Adult female Hyalella azteca was exposed to different sediments in seawater. After 10-day exposure, the metabolomic analysis of Hyalella azteca was carried out using 1H NMR spectroscopy and multivariate statistical analyses. Results of partial least square discriminant analysis (PLS-DA) revealed significant separation between extracts of Hyalella azteca as 2 groups: (E1, LR, CR), and (JR, SR). Metabolites whose VIP scores and AUC >0.9 were homocystine, isocaproate, levulinate, methylmalonate, methylsuccinate, N-acetylglutamate, oxalacetate, pimelate, proline, suberate, theophylline, threonine, trimethylamine N-oxide, tryptophan, valerate, valine, valproate. Results demonstrated that NMR-based metabolomics can be an efficient method for characterizing metabolic responses related to heavy metal contamination derived from polluted area, for discovery of metabolite biomarkers exposed to whole sediment test. We also used this platform to perform on toxicity test of copper on the amphipod and the effects on metabolites changes. The future work will be continued to discover the metabolite biomarkers related to different single or multiple heavy metal influences.