Literature DB >> 19692107

Identifying human and livestock sources of fecal contamination in Kenya with host-specific Bacteroidales assays.

Marion W Jenkins1, Sangam Tiwari, Mario Lorente, Charles Maina Gichaba, Stefan Wuertz.   

Abstract

Microbial source tracking to distinguish between human, livestock and wildlife fecal pollution using molecular techniques is a rapidly evolving approach in many developed countries, but has not previously been applied on the African continent. DNA extracts from cow, donkey, and human fecal specimens and raw domestic sewage samples collected in Kenya were tested against five existing quantitative PCR assays designed to detect universal (2), human-specific (2), and cow-specific (1) fecal Bacteroidales genetic markers. Water samples from the River Njoro in Kenya were evaluated using the five tested Bacteroidales markers and a multi-species assay for Cryptosporidium in a preliminary exploration of fecal pollution sources and health risks in this watershed. Diagnostic sensitivity on the validation set varied from 18 to 100% for the five assays while diagnostic specificity was 100%. Of the 2 universal assays, Total Bacteroidales [Dick, L.K, Field, K.G., 2004. Rapid estimation of numbers of fecal Bacteroidetes by use of a quantitative PCR assay for 16S rRNA genes. Appl. Environ. Microbiol. 70, 5695-5697] showed lower generic fecal diagnostic sensitivity, at 55%, than BacUni-UCD, at 100%, in detecting fecal markers on the 42-sample validation set. Human-specific assay HF183 demonstrated 65% sensitivity overall, and 80% on the human sewage samples, compared to 18% overall and 0% sewage for human-specific assay BacHum-UCD. Cow-specific assay BacCow-UCD had 94% sensitivity. Testing of 18 water samples indicates cows are a likely predominant source of fecal contamination in the Njoro Watershed (78% prevailing rate). Probabilistic assessment of human assay results indicates at most three of the river water samples contained human Bacteroidales. Cryptosporidium spp. markers were detected in samples from nine of the 12 sampling locations. Evidence suggesting widespread contamination by cow feces and Cryptosporidium in the Njoro watershed raises serious concerns for human and animal health.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19692107     DOI: 10.1016/j.watres.2009.07.028

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


  19 in total

1.  Blautia and Prevotella sequences distinguish human and animal fecal pollution in Brazil surface waters.

Authors:  Amber M Koskey; Jenny C Fisher; A Murat Eren; Rafael Ponce-Terashima; Mitermayer G Reis; Ronald E Blanton; Sandra L McLellan
Journal:  Environ Microbiol Rep       Date:  2014-07-09       Impact factor: 3.541

2.  Association of fecal indicator bacteria with human viruses and microbial source tracking markers at coastal beaches impacted by nonpoint source pollution.

Authors:  Shannon McQuaig; John Griffith; Valerie J Harwood
Journal:  Appl Environ Microbiol       Date:  2012-07-06       Impact factor: 4.792

3.  Comparison of the host specificities of two bacteroidales quantitative PCR assays used for tracking human fecal contamination.

Authors:  Laurie C Van De Werfhorst; Bram Sercu; Patricia A Holden
Journal:  Appl Environ Microbiol       Date:  2011-07-08       Impact factor: 4.792

4.  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

5.  Cryptosporidium species detected in calves and cattle in Dagoretti, Nairobi, Kenya.

Authors:  Erastus K Kang'ethe; Erastus K Mulinge; Robert A Skilton; Moses Njahira; Joseph G Monda; Concepta Nyongesa; Cecilia K Mbae; Stanley K Kamwati
Journal:  Trop Anim Health Prod       Date:  2012-07-15       Impact factor: 1.559

6.  Improved HF183 quantitative real-time PCR assay for characterization of human fecal pollution in ambient surface water samples.

Authors:  Hyatt C Green; Richard A Haugland; Manju Varma; Hana T Millen; Mark A Borchardt; Katharine G Field; William A Walters; R Knight; Mano Sivaganesan; Catherine A Kelty; Orin C Shanks
Journal:  Appl Environ Microbiol       Date:  2014-03-07       Impact factor: 4.792

7.  The effect of improved rural sanitation on diarrhoea and helminth infection: design of a cluster-randomized trial in Orissa, India.

Authors:  Thomas Clasen; Sophie Boisson; Parimita Routray; Oliver Cumming; Marion Jenkins; Jeroen H J Ensink; Melissa Bell; Matthew C Freeman; Soosai Peppin; Wolf-Peter Schmidt
Journal:  Emerg Themes Epidemiol       Date:  2012-11-13

8.  Hypothesis-driven approach for the identification of fecal pollution sources in water resources.

Authors:  G H Reischer; D Kollanur; J Vierheilig; C Wehrspaun; R L Mach; R Sommer; H Stadler; A H Farnleitner
Journal:  Environ Sci Technol       Date:  2011-04-05       Impact factor: 9.028

9.  Evaluation of Low-Cost Phage-Based Microbial Source Tracking Tools for Elucidating Human Fecal Contamination Pathways in Kolkata, India.

Authors:  Renuka Kapoor; James Ebdon; Ashutosh Wadhwa; Goutam Chowdhury; Yuke Wang; Suraja J Raj; Casey Siesel; Sarah E Durry; Wolfgang Mairinger; Asish K Mukhopadhyay; Suman Kanungo; Shanta Dutta; Christine L Moe
Journal:  Front Microbiol       Date:  2021-05-20       Impact factor: 5.640

10.  Distribution and abundance of human-specific Bacteroides and relation to traditional indicators in an urban tropical catchment.

Authors:  J P Nshimyimana; E Ekklesia; P Shanahan; L H C Chua; J R Thompson
Journal:  J Appl Microbiol       Date:  2014-02-25       Impact factor: 3.772

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.