Seurinck Sylvie, Verstraete Willy, Siciliano Steven D
Laboratory of Microbial Ecology and Technology, Ghent University, B-9000 Ghent, Belgium.
Appl Environ Microbiol. 2003 Aug;69(8):4942-50. doi: 10.1128/AEM.69.8.4942-4950.2003.
Despite efforts to minimize fecal input into waterways, this kind of pollution continues to be a problem due to an inability to reliably identify nonpoint sources. Our objective was to find candidate source-specific Escherichia coli fingerprints as potential genotypic markers for raw sewage, horses, dogs, gulls, and cows. We evaluated 16S-23S rRNA intergenic spacer region (ISR)-PCR and repetitive extragenic palindromic (rep)-PCR analyses of E. coli isolates as tools to identify nonpoint fecal sources. The BOXA1R primer was used for rep-PCR analysis. A total of 267 E. coli isolates from different fecal sources were typed with both techniques. E. coli was found to be highly diverse. Only two candidate source-specific E. coli fingerprints, one for cow and one for raw sewage, were identified out of 87 ISR fingerprints. Similarly, there was only one candidate source-specific E. coli fingerprint for horse out of 59 BOX fingerprints. Jackknife analysis resulted in an average rate of correct classification (ARCC) of 83% for BOX-PCR analysis and 67% for ISR-PCR analysis for the five source categories of this study. When nonhuman sources were pooled so that each isolate was classified as animal or human derived (raw sewage), ARCCs of 82% for BOX-PCR analysis and 72% for ISR-PCR analysis were obtained. Critical factors affecting the utility of these methods, namely sample size and fingerprint stability, were also assessed. Chao1 estimation showed that generally 32 isolates per fecal source individual were sufficient to characterize the richness of the E. coli population of that source. The results of a fingerprint stability experiment indicated that BOX and ISR fingerprints were stable in natural waters at 4, 12, and 28 degrees C for 150 days. In conclusion, 16S-23S rRNA ISR-PCR and rep-PCR analyses of E. coli isolates have the potential to identify nonpoint fecal sources. A fairly small number of isolates was needed to find candidate source-specific E. coli fingerprints that were stable under the simulated environmental conditions.
尽管人们努力减少粪便进入水道,但由于无法可靠地识别非点源污染,这种污染仍然是一个问题。我们的目标是找到特定来源的大肠杆菌候选指纹图谱,作为未经处理污水、马、狗、海鸥和牛的潜在基因型标记。我们评估了大肠杆菌分离株的16S - 23S rRNA基因间隔区(ISR)-PCR和重复外显子回文序列(rep)-PCR分析,作为识别非点源粪便来源的工具。BOXA1R引物用于rep-PCR分析。使用这两种技术对来自不同粪便来源的267株大肠杆菌分离株进行了分型。发现大肠杆菌具有高度的多样性。在87个ISR指纹图谱中,仅鉴定出两个特定来源的大肠杆菌候选指纹图谱,一个来自牛,一个来自未经处理的污水。同样,在59个BOX指纹图谱中,仅鉴定出一个来自马的特定来源的大肠杆菌候选指纹图谱。刀切法分析得出,本研究的五个来源类别中,BOX-PCR分析的平均正确分类率(ARCC)为83%,ISR-PCR分析为67%。当将非人类来源合并,使每个分离株被分类为动物或人类来源(未经处理的污水)时,BOX-PCR分析的ARCC为82%,ISR-PCR分析为72%。还评估了影响这些方法实用性的关键因素,即样本量和指纹稳定性。Chao1估计表明,通常每个粪便来源个体32株分离株足以表征该来源大肠杆菌群体的丰富度。指纹稳定性实验结果表明,BOX和ISR指纹在4℃、12℃和28℃的天然水中150天内是稳定的。总之,大肠杆菌分离株的16S - 23S rRNA ISR-PCR和rep-PCR分析有潜力识别非点源粪便来源。在模拟环境条件下找到稳定的特定来源大肠杆菌候选指纹图谱所需的分离株数量相当少。