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利用碳源利用图谱作为识别水中粪便污染来源的一种方法。

Carbon source utilization profiles as a method to identify sources of faecal pollution in water.

作者信息

Hagedorn C, Crozier J B, Mentz K A, Booth A M, Graves A K, Nelson N J, Reneau R B

机构信息

Department of Crop and Soil Environmental Sciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA.

出版信息

J Appl Microbiol. 2003;94(5):792-9. doi: 10.1046/j.1365-2672.2003.01804.x.

Abstract

AIMS

Carbon source utilization profiles as a phenotypic fingerprinting methodology for determining sources of faecal pollution in water were evaluated.

METHODS AND RESULTS

Three hundred and sixty-five Enterococcus isolates were collected from known faecal sources in four different geographical regions and were identified to species with the commercial Biolog system. Discriminant analysis (DA) was used to identify the substrate-containing wells that best classified the 365 isolates by source. By using 30 of the 95 wells for the analysis, the average rate of correct classification (ARCC) by source was 92.7% for a human vs non-human two-way classification when isolates from all regions were combined into one library. Corresponding ARCCs for other classification schemes were 81.9% for a four-way classification of human vs livestock vs wildlife vs domestic pets, and 85.7% for a three-way classification without human isolates. When three individual libraries were made based on classification of sources within Enterococcus species, the ARCC was 95.3% for the Ent. faecalis library, 95.8% for the Ent. gallinarum library and 94.7% for the Ent. mundtii library. Thirty Enterococcus isolates (unknown sources) were obtained from each of three stream sites where a specific source of pollution was apparent; 90.0% of the isolates from a human-suspected source were classified as human, 86.6% were classified as livestock from a livestock-suspected site, and 93.3% were classified as wildlife from a wildlife-suspected site.

CONCLUSIONS

Phenotypic fingerprinting with carbon source utilization profiles provided levels of correct classification by sources from an Enterococcus library that were in the upper range of those reported in the literature. ARCCs for three Enterococcus species-specific libraries were very high and may be the best approach for further developing this concept and methodology. SIGNIFICANCE ANC IMPACT OF THE STUDY: The results, based on a modest Enterococcus library and a preliminary field validation test, demonstrated the potential for carbon source utilization profiles to be employed as a phenotypic method for determining sources of faecal pollution in water.

摘要

目的

评估利用碳源利用谱作为一种表型指纹识别方法来确定水中粪便污染来源的情况。

方法与结果

从四个不同地理区域的已知粪便源中收集了365株肠球菌分离株,并使用商业Biolog系统鉴定到种。判别分析(DA)用于识别能按来源对365株分离株进行最佳分类的含底物孔。通过使用95个孔中的30个进行分析,当将所有区域的分离株合并到一个文库中进行人与非人的双向分类时,按来源的平均正确分类率(ARCC)为92.7%。其他分类方案的相应ARCC为:人与家畜、野生动物、家养宠物的四路分类为81.9%,不包括人分离株的三路分类为85.7%。当根据肠球菌种内的来源分类建立三个单独的文库时,粪肠球菌文库的ARCC为95.3%,鹑鸡肠球菌文库为95.8%,蒙氏肠球菌文库为94.7%。从三个有明显特定污染源的溪流站点各获得30株肠球菌分离株(来源不明);来自疑似人类源的分离株90.0%被分类为人源,来自疑似家畜源站点的86.6%被分类为家畜源,来自疑似野生动物源站点的93.3%被分类为野生动物源。

结论

利用碳源利用谱进行表型指纹识别,从肠球菌文库中按来源的正确分类水平处于文献报道的较高范围。三个肠球菌种特异性文库的ARCC非常高,可能是进一步发展这一概念和方法的最佳途径。研究的意义和影响:基于一个适度的肠球菌文库和初步的现场验证试验的结果表明,碳源利用谱有潜力作为一种表型方法用于确定水中粪便污染的来源。

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