Center for Molecular Biology and Genetic Engineering, State University of Campinas, UNICAMP, C. P. 6010, CEP 13083-875, Campinas, S. P., Brazil.
J Environ Manage. 2012 Jan;93(1):38-43. doi: 10.1016/j.jenvman.2011.08.012. Epub 2011 Sep 18.
Repetitive element sequence-based polymerase chain reaction (rep-PCR) is one of the commonest methods used to identify sources of fecal contamination of water systems. In this work, BOX-A1R-based repetitive extragenic palindromic-PCR (BOX-PCR) was used to discriminate Escherichia coli strains originating from different animals and water sources, and the suitability of the technique for bacterial source tracking (BST) was evaluated. A total of 214 strains from humans, 150 strains from animals, 55 strains from sewage and 77 strains from water bodies were analyzed by the BOX-PCR technique. When maximum similarity between the fingerprints was used, a correct classification rate of 84% was achieved for strains from human and animal sources. Furthermore, 95% of the strains found in sewage were classified as being from human sources by at least one of the four classification tools used. Classification of the strains found in water bodies in the State of São Paulo was based on the fingerprints obtained for human and animal sources. Most of the sampling sites appeared to be affected by mixed sources of fecal contamination. The use of BOX-PCR for BST could be especially valuable in developing countries, where simplicity and cost are important considerations.
基于重复元件序列的聚合酶链反应（rep-PCR）是最常用于识别水系粪便污染来源的方法之一。在这项工作中，基于 BOX-A1R 的重复外回文 PCR（BOX-PCR）被用于区分来自不同动物和水源的大肠杆菌菌株，并评估该技术用于细菌溯源（BST）的适用性。共分析了来自人类的 214 株、动物的 150 株、污水的 55 株和水体的 77 株菌株。当使用指纹之间的最大相似度时，来自人类和动物来源的菌株的正确分类率达到 84%。此外，通过使用的四种分类工具中的至少一种，95%的污水中发现的菌株被分类为来自人类来源。对圣保罗州水体中发现的菌株的分类是基于从人类和动物来源获得的指纹。大多数采样点似乎受到混合粪便污染来源的影响。BOX-PCR 用于 BST 在发展中国家可能特别有价值，因为简单性和成本是重要的考虑因素。
