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Use of Antibiotic Resistance Analysis To Identify Nonpoint Sources of Fecal Pollution

机译：使用抗生素耐药性分析识别粪便污染的非点源

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A study was conducted to determine the reliability and repeatability of antibiotic resistance analysis as a method of identifying the sources of fecal pollution in surface water and groundwater. Four large sets of isolates of fecal streptococci (from 2,635 to 5,990 isolates per set) were obtained from 236 samples of human sewage and septage, cattle and poultry feces, and pristine waters. The patterns of resistance of the isolates to each of four concentrations of up to nine antibiotics were analyzed by discriminant analysis. When isolates were classified individually, the average rate of correct classification (ARCC) into four possible types (human, cattle, poultry, and wild) ranged from 64 to 78%. When the resistance patterns of all isolates from each sample were averaged and the resulting sample-level resistance patterns were classified, the ARCCs were much higher (96 to 100%). These data confirm that there are measurable and consistent differences in the antibiotic resistance patterns of fecal streptococci isolated from various sources of fecal pollution and that antibiotic resistance analysis can be used to classify and identify these sources.
机译：进行了一项研究，以确定抗生素抗性分析的可靠性和可重复性，作为鉴定地表水和地下水中粪便污染来源的一种方法。从236份人类污水和粪便，牛和家禽粪便以及原始水样中获得了四大套粪便链球菌分离株（每套从2,635至5,990株）。通过判别分析来分析分离株对四种浓度的多达九种抗生素中的每一种的抗性模式。对分离株进行单独分类时，正确分类（ARCC）分为四种可能的类型（人，牛，家禽和野生型）的平均比率为64％至78％。将每个样品的所有分离株的电阻模式进行平均，并对得到的样品水平的电阻模式进行分类时，ARCC更高（96％至100％）。这些数据证实，从各种粪便污染源中分离出来的粪便链球菌的抗生素耐药性模式存在可测量且一致的差异，并且抗生素耐药性分析可用于分类和识别这些来源。

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