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Comparison of Seven Protocols To Identify Fecal Contamination Sources Using Escherichia coli

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摘要

Microbial source tracking(MST)uses various approaches to classify fecal-indicator microorganisms to source hosts.Reproducibility,accuracy,and robustness of seven phenotypic and genotypic MST protocols were evaluated by use of Escherichia co//from an eight-host library of known-source isolates and a separate,blinded challenge library.In reproducibility tests,measuring each protocol's ability to reclassify blinded replicates,only one(pulsed-field gel electrophoresis;PFGE)correctly classified all test replicates to host species;three protocols classified 48-62 correctly,and the remaining three classified fewer than 25 correctly.In accuracy tests,measuring each protocol's ability to correctly classify new isolates,ribotyping with EcoRI and PvuW approached 100 correct classification but only 6 of isolates were classified;four of the other six protocols(antibiotic resistance analysis,PFGE,and two repetitive-element PCR protocols)achieved better than random accuracy rates when 30-100 of challenge isolates were classified.In robustness tests,measuring each protocol's ability to recognize isolates from nonlibrary hosts,three protocols correctly classified 33-100 of isolates as "unknown origin,"whereas four protocols classified all isolates to a source category.A relevance test,summarizing interpretations for a hypothetical water sample containing 30 challenge isolates,indicated that false-positive classifications would hinder interpretations for most protocols.Study results indicate that more representation in known-source libraries and better classification accuracy would be needed before field application.Thorough reliability assessment of classification results is crucial before and during application of MST protocols.

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  • 来源
    《Environmental Science & Technology: ES&T》 |2004年第22期|6109-6117|共9页
  • 作者

    Donald M.Stoeckel; Melvin V.Mathes; Kenneth E.Hyer;

  • 作者单位

    Avenue,Columbus,Ohio 43229,U.S.Geological Survey,11 Dunbar Street,Charleston,West Virginia 25301,U.S.Geological Survey,1730 East Parham Road,Richmond,Virginia 23228,Virginia Polytechnic Institute and State University,Blacksburg,Virginia 24061,College;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类 环境化学;
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