Price Bertram, Venso Elichia, Frana Mark, Greenberg Joshua, Ware Adam
Price Associates, Inc., One N. Broadway Ste 406, White Plains, NY 10601, USA.
Water Res. 2007 Aug;41(16):3575-84. doi: 10.1016/j.watres.2007.05.026. Epub 2007 May 24.
The literature on microbial source tracking (MST) suggests that DNA analysis of fecal samples leads to more reliable determinations of bacterial sources of surface water contamination than antibiotic resistance analysis (ARA). Our goal is to determine whether the increased reliability, if any, in library-based MST developed with DNA data is sufficient to justify its higher cost, where the bacteria source predictions are used in TMDL surface water management programs. We describe an application of classification trees for MST applied to ARA and DNA data from samples collected in the Potomac River Watershed in Maryland. Conclusions concerning the comparison of ARA and DNA data, although preliminary at the current time, suggest that the added cost of obtaining DNA data in comparison to the cost of ARA data may not be justified, where MST is applied in TMDL surface water management programs.
关于微生物源追踪（MST）的文献表明，与抗生素抗性分析（ARA）相比，粪便样本的DNA分析能更可靠地确定地表水污染的细菌来源。我们的目标是确定，在基于文库的MST中，利用DNA数据得出的可靠性提升（如果存在的话）是否足以证明其更高的成本合理，因为细菌来源预测用于总最大日负荷（TMDL）地表水管理计划。我们描述了分类树在MST中的应用，该应用针对马里兰州波托马克河流域采集样本的ARA和DNA数据。关于ARA和DNA数据比较的结论，尽管目前是初步的，但表明在TMDL地表水管理计划中应用MST时，获取DNA数据相较于ARA数据的额外成本可能并不合理。
