便指标细菌和污水相关标记基因与佛罗里达州两个淡水系统的酸盐和环境参数有关
Amanda M Brandt1, Jacob K Senkbeil1, Aldo E Lobos1
1Department of Integrative Biology, University of South Florida, 4202 E Fowler Ave, Tampa, FL 33620, United States.
Journal of applied microbiology
|February 9, 2025
概括
淡水河流中的酸盐含量可以预测污水污染. 与便指标细菌和微生物源追踪标记一起测量酸盐可以更好地识别污染源.
科学领域:
- 环境微生物学环境微生物学
- 评估水质水质的评估.
- 淡水生态学 淡水生态学
背景情况:
- 淡水河流中的便污染对人类健康和生态系统构成风险.
- 准确识别便污染源对于有效管理至关重要.
- 微生物源追踪 (MST) 方法是识别污染源的重要工具.
研究的目的:
- 为了研究微生物变量与佛罗里达州两条河流中的营养度之间的关系.
- 为了确定营养水平是否可以作为便污染源的预测指标.
- 提高在淡水环境中识别便污染源的准确性.
主要方法:
- 从牛溪和甜水溪抽取水和沉积物的样本.
- 培养便指标细菌 (FIB),如大肠杆菌和肠球菌.
- 对微生物源追踪 (MST) 标记物的定量聚合酶连锁反应 (qPCR) 分析 (污水的HF183,鸟类的GFD).
- 分析水和沉积物中的有机和无机营养素.
主要成果:
- 在这两个地点,大肠杆菌和肠球菌经常超过娱乐用水质量标准.
- 污水相关标记物HF183与地表水中酸盐呈正相关性.
- 沉积物有机物与地表水FIB相反,特别是在城市化地区.
- 营养分析显示,酸盐是污水污染的重要预测因素.
结论:
- 表面水中的酸盐度是污水污染的可靠指标.
- 营养物质测量,特别是酸盐,补充了FIB和MST标记器,以改善来源识别.
- 了解营养素和微生物之间的关系有助于管理淡水河流中的便污染.
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