Characterizing Differences in Sources of and Contributions to Fecal Contamination of Sediment and Surface Water with the Microbial FIT Framework
Characterizing Differences in Sources of and Contributions to Fecal Contamination of Sediment and Surface Water with the Microbial FIT Framework
复制标题
使用微生物 FIT 框架表征沉积物和地表水粪便污染的来源和贡献的差异
DOI：
10.1021/acs.est.2c00224
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发表时间：
2022
影响因子：
11.4
通讯作者：
Serre, Marc L.
中科院分区：
文献类型：
--
作者：
Wiesner-Friedman, Corinne;Beattie, Rachelle E.;Stewart, Jill R.;Hristova, Krassimira R.;Serre, Marc L.
地表水监测和微生物源追踪（MST）用于识别粪便污染的宿主来源，保护公众健康。但是，需要了解空间源的位置及其对环境的相对影响，以有效减轻健康风险。此外，与瞬态地表水相比，沉积物样品可以提供时间集成信息。因此，我们实施了新开发的微生物发现、信息和测试框架，以确定空间来源及其对人类（HuBac）和牛（BoBac） MST标记的影响，并从牛密集地区的河床沉积物和地表水中量化。奶牛饲养和低强度发达土地覆盖分别与bobacin沉积物相对丰度增加99% （p值< 0.05）和108% （p值< 0.05）相关，与地表水相对丰度增加79% （p值< 0.05）和39%相关。化粪池系统与hubacin沉积物相对丰度增加48%和地表水增加56%有关。与水相比，沉积物响应的源信号更强。通过确定污染源位置、预测河流影响和估计大湖地区污染源影响范围，这项工作为当地和全球意义的污染缓解战略提供了信息。
Surface water monitoring and microbial source tracking (MST) are used to identify host sources of fecal pollution and protect public health. However, knowledge of the locations of spatial sources and their relative impacts on the environment is needed to effectively mitigate health risks. Additionally, sediment samples may offer time-integrated information compared to transient surface water. Thus, we implemented the newly developed microbial find, inform, and test framework to identify spatial sources and their impacts on human (HuBac) and bovine (BoBac) MST markers, quantified from both riverbed sediment and surface water in a bovine-dense region. Dairy feeding operations and low-intensity developed land-cover were associated with 99% (p-value < 0.05) and 108% (p-value < 0.05) increases, respectively, in the relative abundance ofBoBacin sediment, and with 79% (p-value < 0.05) and 39% increases in surface water. Septic systems were associated with a 48% increase in the relative abundance ofHuBacin sediment and a 56% increase in surface water. Stronger source signals were observed for sediment responses compared to water. By defining source locations, predicting river impacts, and estimating source influence ranges in a Great Lakes region, this work informs pollution mitigation strategies of local and global significance.