Molecular approaches to microbiological monitoring: Fecal source detection

被引:60
作者
Field, KG [1 ]
Bernhard, AE
Brodeur, TJ
机构
[1] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA
[2] Univ Washington, Dept Civil & Environm Engn, Seattle, WA 98195 USA
基金
美国海洋和大气管理局;
关键词
microbiological monitoring; fecal contamination; fecal source discrimination; Bacteroides; anaerobic bacteria; LH-PCR; T-RFLP; bacterial communities; molecular markers;
D O I
10.1023/A:1021349629950
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Molecular methods are useful both to monitor natural communities of bacteria, and to track specific bacterial markers in complex environments. Length-heterogeneity polymerase chain reaction ( LH-PCR) and terminal restriction fragment length polymorphism (T-RFLP) of 16S rDNAs discriminate among 16S rRNA genes based on length polymorphisms of their PCR products. With these methods, we developed an alternative indicator that distinguishes the source of fecal pollution in water. We amplify 16S rRNA gene fragments from the fecal anaerobic genus Bacteroides with specific primers. Because Bacteroides normally resides in gut habitats, its presence in water indicates fecal pollution. Molecular detection circumvents the complexities of growing anaerobic bacteria. We identified Bacteroides LH-PCR and T-RFLP ribosomal DNA markers unique to either ruminant or human feces. The same unique fecal markers were recovered from polluted natural waters. We cloned and sequenced the unique markers; marker sequences were used to design specific PCR primers that reliably distinguish human from ruminant sources of fecal contamination. Primers for more species are under development. This approach is more sensitive than fecal coliform assays, is comparable in complexity to standard food safety and public health diagnostic tests, and lends itself to automation and high-throughput. Thus molecular genetic markers for fecal anaerobic bacteria hold promise for monitoring bacterial pollution and water quality.
引用
收藏
页码:313 / 326
页数:14
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