Department of Civil and Environmental Engineering, University of California Davis, One Shields Ave, Davis, CA 95616, USA.
Water Res. 2013 Nov 15;47(18):6909-20. doi: 10.1016/j.watres.2013.03.062. Epub 2013 Jul 5.
The contribution of fecal pollution from dogs in urbanized areas can be significant and is an often underestimated problem. Microbial source tracking methods (MST) utilizing quantitative PCR of dog-associated gene sequences encoding 16S rRNA of Bacteroidales are a useful tool to estimate these contributions. However, data about the performance of available assays are scarce. The results of a multi-laboratory study testing two assays for the determination of dog-associated Bacteroidales (DogBact and BacCan-UCD) on 64 single and mixed fecal source samples created from pooled fecal samples collected in California are presented here. Standardization of qPCR data treatment lowered inter-laboratory variability of sensitivity and specificity results. Both assays exhibited 100% sensitivity. Normalization methods are presented that eliminated random and confirmed non-target responses. The combination of standardized qPCR data treatment, use of normalization via a non-target specific Bacteroidales assay (GenBac3), and application of threshold criteria improved the calculated specificity significantly for both assays. Such measures would reasonably improve MST data interpretation not only for canine-associated assays, but for all qPCR assays used in identifying and monitoring fecal pollution in the environment.
城市化地区狗粪污染的贡献可能很大,而且往往被低估。利用定量聚合酶链反应(PCR)检测编码 Bacteroidales 16S rRNA 的狗相关基因序列的微生物源追踪方法(MST)是估计这些贡献的有用工具。然而,关于现有检测方法性能的数据却很少。本文介绍了在加利福尼亚州采集的混合粪便样本中,对来自 64 个单一和混合粪便源样本的两种用于确定犬相关 Bacteroidales(DogBact 和 BacCan-UCD)的检测方法(DogBact 和 BacCan-UCD)进行的多实验室研究的结果。qPCR 数据处理的标准化降低了敏感性和特异性结果的实验室间变异性。这两种检测方法均显示出 100%的敏感性。本文提出了消除随机和确认非靶标反应的归一化方法。标准化 qPCR 数据处理、使用非靶标特异性 Bacteroidales 检测(GenBac3)进行归一化以及应用阈值标准,显著提高了两种检测方法的计算特异性。这些措施不仅可以合理地提高犬相关检测方法的 MST 数据解释,而且可以提高所有用于识别和监测环境中粪便污染的 qPCR 检测方法的解释。