Literature DB >> 15382722

Comparison of genotypic-based microbial source tracking methods requiring a host origin database.

Samuel P Myoda1, C Andrew Carson, Jeffry J Fuhrmann, Byoung-Kwon Hahm, Peter G Hartel, Helen Yampara-Lquise, LeeAnn Johnson, Robin L Kuntz, Cindy H Nakatsu, Michael J Sadowsky, Mansour Samadpour.   

Abstract

Microbial source tracking (MST) results, obtained using identical sample sets and pulsed field gel electrophoresis (PFGE), repetitive element PCR (rep-PCR) and ribotyping techniques were compared. These methods were performed by six investigators in analysis of duplicate, blind sets of water samples spiked with feces from five possible sources (sewage, human, dog, cow and seagull). Investigators were provided with samples of the fecal material used to inoculate the water samples for host origin database construction. All methods correctly identified the dominant source in the majority of the samples. Modifications of some of these methods correctly identified the dominant sources in over 90% of the samples; however, false positive rates were as high as 57%. The high false positive rates appeared to be indirectly proportional to the levels of stringency applied in pattern analysis. All the methods produced useful data but the results highlighted the need to modify and optimize these methods in order to minimize sources of error.

Entities:  

Mesh:

Year:  2003        PMID: 15382722

Source DB:  PubMed          Journal:  J Water Health        ISSN: 1477-8920            Impact factor:   1.744


  14 in total

1.  Application of Faecalibacterium 16S rDNA genetic marker for accurate identification of duck faeces.

Authors:  Da Sun; Chuanren Duan; Yaning Shang; Yunxia Ma; Lili Tan; Jun Zhai; Xu Gao; Jingsong Guo; Guixue Wang
Journal:  Environ Sci Pollut Res Int       Date:  2016-01-08       Impact factor: 4.223

2.  Development of Bacteroides 16S rRNA gene TaqMan-based real-time PCR assays for estimation of total, human, and bovine fecal pollution in water.

Authors:  Alice Layton; Larry McKay; Dan Williams; Victoria Garrett; Randall Gentry; Gary Sayler
Journal:  Appl Environ Microbiol       Date:  2006-06       Impact factor: 4.792

3.  Specificity of a Bacteroides thetaiotaomicron marker for human feces.

Authors:  C Andrew Carson; Jessica M Christiansen; Helen Yampara-Iquise; Verel W Benson; Claire Baffaut; Jerri V Davis; Robert R Broz; William B Kurtz; Wendi M Rogers; William H Fales
Journal:  Appl Environ Microbiol       Date:  2005-08       Impact factor: 4.792

Review 4.  Performance, design, and analysis in microbial source tracking studies.

Authors:  Donald M Stoeckel; Valerie J Harwood
Journal:  Appl Environ Microbiol       Date:  2007-02-16       Impact factor: 4.792

5.  Evaluation of two library-independent microbial source tracking methods to identify sources of fecal contamination in French estuaries.

Authors:  Michèle Gourmelon; Marie Paule Caprais; Raphaël Ségura; Cécile Le Mennec; Solen Lozach; Jean Yves Piriou; Alain Rincé
Journal:  Appl Environ Microbiol       Date:  2007-06-08       Impact factor: 4.792

6.  Antibiotic resistance in Escherichia coli isolates from roof-harvested rainwater tanks and urban pigeon faeces as the likely source of contamination.

Authors:  Lizyben Chidamba; Lise Korsten
Journal:  Environ Monit Assess       Date:  2015-06-05       Impact factor: 2.513

7.  Identifying host sources of fecal pollution: diversity of Escherichia coli in confined dairy and swine production systems.

Authors:  Zexun Lu; David Lapen; Andrew Scott; Angela Dang; Edward Topp
Journal:  Appl Environ Microbiol       Date:  2005-10       Impact factor: 4.792

8.  Ultrafiltration and Microarray for Detection of Microbial Source Tracking Marker and Pathogen Genes in Riverine and Marine Systems.

Authors:  Xiang Li; Valerie J Harwood; Bina Nayak; Jennifer L Weidhaas
Journal:  Appl Environ Microbiol       Date:  2016-01-04       Impact factor: 4.792

9.  Identification of fecal input sites in spring water by selection and genotyping of multiresistant Escherichia coli.

Authors:  Melanie Wicki; Fatma Karabulut; Adrian Auckenthaler; Richard Felleisen; Marcel Tanner; Andreas Baumgartner
Journal:  Appl Environ Microbiol       Date:  2011-09-30       Impact factor: 4.792

10.  Tracking host sources of Cryptosporidium spp. in raw water for improved health risk assessment.

Authors:  Norma J Ruecker; Shannon L Braithwaite; Edward Topp; Thomas Edge; David R Lapen; Graham Wilkes; Will Robertson; Diane Medeiros; Christoph W Sensen; Norman F Neumann
Journal:  Appl Environ Microbiol       Date:  2007-05-04       Impact factor: 4.792

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.