Literature DB >> 17507075

Relationships between Bacteroides 16S rRNA genetic markers and presence of bacterial enteric pathogens and conventional fecal indicators.

Olga Savichtcheva1, Noriko Okayama, Satoshi Okabe.   

Abstract

Occurrence and prevalence of different bacterial enteric pathogens as well as their relationships with conventional (total and fecal coliforms) and alternative fecal indicators (host-specific Bacteroides 16S rRNA genetic markers) were investigated for various water samples taken from different sites with different degrees of fecal contamination. The results showed that a wide range of bacterial pathogens could be detected in both municipal wastewater treatment plant samples and in surface water samples. Logistic regression analysis revealed that total and human-specific Bacteroides 16S rRNA genetic markers showed significant predictive values for the presence of Escheriachia coli O-157, Salmonella, heat-labile enterotoxin (LT) of enterotoxigenic E. coli (ETEC), and heat-stable enterotoxin for human (STh) of ETEC. The probability of occurrence of these pathogenic bacteria became significantly high when the concentrations of human-specific and total Bacteroides 16S rRNA genetic markers exceeded 10(3) and 10(4) copies/100 mL. In contrast, Clostridium perfringens was detected at high frequency regardless of sampling sites and levels of Bacteroides 16S rRNA genetic markers. No genes related to Shigella spp., Staphylococcus aureus and Vibrio cholerae were detected in any samples analyzed in this study. Conventional indicator microorganisms had low levels of correlation with the presence of pathogens as compared with the alternative fecal indicators. These results suggested that real-time PCR-based measurement of alternative Bacteroides 16S rRNA genetic markers was a rapid and sensitive tool to identify host-specific fecal pollution and probably associated bacterial pathogens. However, since one fecal indicator might not represent the relative abundance of all pathogenic bacteria, viruses and protozoa, combined application of alternative indicators with conventional ones could provide more comprehensive pictures of fecal contamination, its source and association with pathogenic microorganisms.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17507075     DOI: 10.1016/j.watres.2007.03.028

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  21 in total

1.  Unsuitability of quantitative Bacteroidales 16S rRNA gene assays for discerning fecal contamination of drinking water.

Authors:  Paul W J J van der Wielen; Gertjan Medema
Journal:  Appl Environ Microbiol       Date:  2010-05-28       Impact factor: 4.792

2.  Bacteroidales diversity in ring-billed gulls (Laurus delawarensis) residing at Lake Michigan beaches.

Authors:  Sonja N Jeter; Colleen M McDermott; Patricia A Bower; Julie L Kinzelman; Melinda J Bootsma; Giles W Goetz; Sandra L McLellan
Journal:  Appl Environ Microbiol       Date:  2009-01-16       Impact factor: 4.792

3.  Capturing Microbial Sources Distributed in a Mixed-use Watershed within an Integrated Environmental Modeling Workflow.

Authors:  Gene Whelan; Keewook Kim; Rajbir Parmar; Gerard F Laniak; Kurt Wolfe; Michael Galvin; Marirosa Molina; Yakov A Pachepsky; Paul Duda; Richard Zepp; Lourdes Prieto; Julie L Kinzelman; Gregory T Kleinheinz; Mark A Borchardt
Journal:  Environ Model Softw       Date:  2018-01       Impact factor: 5.288

4.  Terrestrial sources homogenize bacterial water quality during rainfall in two urbanized watersheds in Santa Barbara, CA.

Authors:  Bram Sercu; Laurie C Van De Werfhorst; Jill L S Murray; Patricia A Holden
Journal:  Microb Ecol       Date:  2011-05-27       Impact factor: 4.552

5.  Soil Ingestion is Associated with Child Diarrhea in an Urban Slum of Nairobi, Kenya.

Authors:  Valerie Bauza; R M Ocharo; Thanh H Nguyen; Jeremy S Guest
Journal:  Am J Trop Med Hyg       Date:  2017-04-06       Impact factor: 2.345

6.  Characterization of coastal urban watershed bacterial communities leads to alternative community-based indicators.

Authors:  Cindy H Wu; Bram Sercu; Laurie C Van de Werfhorst; Jakk Wong; Todd Z DeSantis; Eoin L Brodie; Terry C Hazen; Patricia A Holden; Gary L Andersen
Journal:  PLoS One       Date:  2010-06-23       Impact factor: 3.240

7.  Real-time PCR detection of pathogenic microorganisms in roof-harvested rainwater in Southeast Queensland, Australia.

Authors:  W Ahmed; F Huygens; A Goonetilleke; T Gardner
Journal:  Appl Environ Microbiol       Date:  2008-07-11       Impact factor: 4.792

8.  A combined prognostic serum interleukin-8 and interleukin-6 classifier for stage 1 lung cancer in the prostate, lung, colorectal, and ovarian cancer screening trial.

Authors:  Bríd M Ryan; Sharon R Pine; Anil K Chaturvedi; Neil Caporaso; Curtis C Harris
Journal:  J Thorac Oncol       Date:  2014-10       Impact factor: 15.609

9.  Biotic interactions and sunlight affect persistence of fecal indicator bacteria and microbial source tracking genetic markers in the upper Mississippi river.

Authors:  Asja Korajkic; Brian R McMinn; Orin C Shanks; Mano Sivaganesan; G Shay Fout; Nicholas J Ashbolt
Journal:  Appl Environ Microbiol       Date:  2014-04-18       Impact factor: 4.792

10.  Estimation of pig fecal contamination in a river catchment by real-time PCR using two pig-specific Bacteroidales 16S rRNA genetic markers.

Authors:  Sophie Mieszkin; Jean-Pierre Furet; Gérard Corthier; Michèle Gourmelon
Journal:  Appl Environ Microbiol       Date:  2009-03-27       Impact factor: 4.792

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.