A comparison of ARA and DNA data for microbial source tracking based on source-classification models developed using classification trees.
A comparison of ARA and DNA data for microbial source tracking based on source-classification models developed using classification trees.
复制标题
基于使用分类树开发的源分类模型,比较用于微生物源追踪的 ARA 和 DNA 数据。
DOI:
10.1016/j.watres.2007.05.026
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发表时间:
2007
期刊:
影响因子:
12.8
通讯作者:
A. Ware
中科院分区:
文献类型:
--
作者:
B. Price;E. Venso;M. Frana;Joshua Greenberg;A. Ware
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.