Literature DB >> 29305503

Elucidating Waterborne Pathogen Presence and Aiding Source Apportionment in an Impaired Stream.

Jennifer Weidhaas1, Angela Anderson2, Rubayat Jamal3.   

Abstract

Fecal indicator bacteria (FIB) are the basis for water quality regulations and are considered proxies for waterborne pathogens when conducting human health risk assessments. The direct detection of pathogens in water and simultaneous identification of the source of fecal contamination are possible with microarrays, circumventing the drawbacks to FIB approaches. A multigene target microarray was used to assess the prevalence of waterborne pathogens in a fecally impaired mixed-use watershed. The results indicate that fecal coliforms have improved substantially in the watershed since its listing as a 303(d) impaired stream in 2002 and are now near United States recreational water criterion standards. However, waterborne pathogens are still prevalent in the watershed, as viruses (bocavirus, hepatitis E and A viruses, norovirus, and enterovirus G), bacteria (Campylobacter spp., Clostridium spp., enterohemorrhagic and enterotoxigenic Escherichia coli, uropathogenic E. coli, Enterococcus faecalis, Helicobacter spp., Salmonella spp., and Vibrio spp.), and eukaryotes (Acanthamoeba spp., Entamoeba histolytica, and Naegleria fowleri) were detected. A comparison of the stream microbial ecology with that of sewage, cattle, and swine fecal samples revealed that human sources of fecal contamination dominate in the watershed. The methodology presented is applicable to a wide range of impaired streams for the identification of human health risk due to waterborne pathogens and for the identification of areas for remediation efforts.IMPORTANCE The direct detection of waterborne pathogens in water overcomes many of the limitations of the fecal indicator paradigm. Furthermore, the identification of the source of fecal impairment aids in identifying areas for remediation efforts. Multitarget gene microarrays are shown to simultaneously identify waterborne pathogens and aid in determining the sources of impairment, enabling further focused investigations. This study shows the use of this methodology in a historically impaired watershed in which total maximum daily load reductions have been successfully implemented to reduce risk. The results suggest that while the fecal indicators have been reduced more than 96% and are nearing recreational water criterion levels, pathogens are still detectable in the watershed. Microbial source tracking results show that additional remediation efforts are needed to reduce the impact of human sewage in the watershed.
Copyright © 2018 American Society for Microbiology.

Entities:  

Keywords:  TMDL; fecal organisms; indicator bacteria; microarray; microbial source tracking; waterborne pathogen

Mesh:

Substances:

Year:  2018        PMID: 29305503      PMCID: PMC5835731          DOI: 10.1128/AEM.02510-17

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  39 in total

1.  Recommendations for microbial source tracking: lessons from a methods comparison study.

Authors:  Jill R Stewart; R D Ellender; Janet A Gooch; Sunny Jiang; Samuel P Myoda; Stephen B Weisberg
Journal:  J Water Health       Date:  2003-12       Impact factor: 1.744

2.  Rapid estimation of numbers of fecal Bacteroidetes by use of a quantitative PCR assay for 16S rRNA genes.

Authors:  Linda K Dick; Katharine G Field
Journal:  Appl Environ Microbiol       Date:  2004-09       Impact factor: 4.792

3.  Detection of enteric viruses and bacterial indicators in German environmental waters.

Authors:  D Pusch; D-Y Oh; S Wolf; R Dumke; U Schröter-Bobsin; M Höhne; I Röske; E Schreier
Journal:  Arch Virol       Date:  2005-01-13       Impact factor: 2.574

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.  An assessment of fecal indicator bacteria-based water quality standards.

Authors:  Andrew D Gronewold; Mark E Borsuk; Robert L Wolpert; Kenneth H Reckhow
Journal:  Environ Sci Technol       Date:  2008-07-01       Impact factor: 9.028

Review 6.  Molecular detection of pathogens in water--the pros and cons of molecular techniques.

Authors:  Rosina Girones; Maria Antonia Ferrús; José Luis Alonso; Jesus Rodriguez-Manzano; Byron Calgua; Adriana de Abreu Corrêa; Ayalkibet Hundesa; Anna Carratala; Sílvia Bofill-Mas
Journal:  Water Res       Date:  2010-06-19       Impact factor: 11.236

7.  A comparison of rapid and conventional measures of indicator bacteria as predictors of waterborne protozoan pathogen presence and density.

Authors:  Samuel Dorevitch; Mary Doi; Fu-Chih Hsu; King-Teh Lin; Jennifer D Roberts; Li C Liu; Ross Gladding; Ember Vannoy; Hong Li; Margit Javor; Peter A Scheff
Journal:  J Environ Monit       Date:  2011-08-08

8.  Detection of pathogenic Vibrio spp. in shellfish by using multiplex PCR and DNA microarrays.

Authors:  Gitika Panicker; Douglas R Call; Melissa J Krug; Asim K Bej
Journal:  Appl Environ Microbiol       Date:  2004-12       Impact factor: 4.792

9.  Use of culture, PCR analysis, and DNA microarrays for detection of Campylobacter jejuni and Campylobacter coli from chicken feces.

Authors:  Georgios Keramas; Dang Duong Bang; Marianne Lund; Mogens Madsen; Henrik Bunkenborg; Pieter Telleman; Claus Bo Vöge Christensen
Journal:  J Clin Microbiol       Date:  2004-09       Impact factor: 5.948

Review 10.  Detection of pathogens in water: from phylochips to qPCR to pyrosequencing.

Authors:  Tiong Gim Aw; Joan B Rose
Journal:  Curr Opin Biotechnol       Date:  2011-12-05       Impact factor: 9.740

View more
  2 in total

Review 1.  Molecular Diagnostic Tools Applied for Assessing Microbial Water Quality.

Authors:  Lisa Paruch
Journal:  Int J Environ Res Public Health       Date:  2022-04-22       Impact factor: 4.614

2.  Human Fecal Contamination Corresponds to Changes in the Freshwater Bacterial Communities of a Large River Basin.

Authors:  Jill S McClary-Gutierrez; Zac Driscoll; Cheryl Nenn; Ryan J Newton
Journal:  Microbiol Spectr       Date:  2021-09-08
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.