Literature DB >> 24463970

Assessment of Giardia and Cryptosporidium spp. as a microbial source tracking tool for surface water: application in a mixed-use watershed.

Natalie Prystajecky1, Peter M Huck, Hans Schreier, Judith L Isaac-Renton.   

Abstract

Knowledge of host specificity, combined with genomic sequencing of Giardia and Cryptosporidium spp., has demonstrated a microbial source tracking (MST) utility for these common waterborne microbes. To explore the source attribution potential of these pathogens, water samples were collected in a mixed rural-urban watershed in the Township of Langley, in southwestern British Columbia (BC), Canada, over a 2-year period. Cryptosporidium was detected in 63% of surface water samples at concentrations ranging from no positive detection (NPD) to 20,600 oocysts per 100 liters. Giardia was detected in 86% of surface water samples at concentrations ranging from NPD to 3,800 cysts per 100 liters of water. Sequencing at the 18S rRNA locus revealed that 50% of Cryptosporidium samples and 98% of Giardia samples contained species/genotypes (Cryptosporidium) or assemblages (Giardia) that are capable of infecting humans, based on current knowledge of host specificity and taxonomy. Cryptosporidium genotyping data were more promising for source tracking potential, due to the greater number of host-adapted (i.e., narrow-host-range) species/genotypes compared to Giardia, since 98% of Giardia isolates were zoonotic and the potential host could not be predicted. This report highlights the benefits of parasite genomic sequencing to complement Method 1623 (U.S. Environmental Protection Agency) and shows that Cryptosporidium subtyping for MST purposes is superior to the use of Giardia subtyping, based on better detection limits for Cryptosporidium-positive samples than for Giardia-positive samples and on greater host specificity among Cryptosporidium species. These additional tools could be used for risk assessment in public health and watershed management decisions.

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Year:  2014        PMID: 24463970      PMCID: PMC3993175          DOI: 10.1128/AEM.02037-13

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


  33 in total

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Authors:  T Kistemann; T Classen; C Koch; F Dangendorf; R Fischeder; J Gebel; V Vacata; M Exner
Journal:  Appl Environ Microbiol       Date:  2002-05       Impact factor: 4.792

Review 2.  Heavy rainfall and waterborne disease outbreaks: the Walkerton example.

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Journal:  J Toxicol Environ Health A       Date:  2004 Oct 22-Nov 26

3.  Prevalence and genotyping of Giardia duodenalis from beef calves in Alberta, Canada.

Authors:  A J Appelbee; L M Frederick; T L Heitman; M E Olson
Journal:  Vet Parasitol       Date:  2003-03-25       Impact factor: 2.738

4.  Prevalence and genotypic characterisation of Giardia in dairy calves from Western Australia and Western Canada.

Authors:  R M O'Handley; M E Olson; D Fraser; P Adams; R C Thompson
Journal:  Vet Parasitol       Date:  2000-06-27       Impact factor: 2.738

5.  Giardia cysts in wastewater treatment plants in Italy.

Authors:  Simone M Cacciò; Marzia De Giacomo; Francesca A Aulicino; Edoardo Pozio
Journal:  Appl Environ Microbiol       Date:  2003-06       Impact factor: 4.792

6.  Evaluation of an alternative IMS dissociation procedure for use with Method 1622: detection of Cryptosporidium in water.

Authors:  Michael W Ware; Larry Wymer; H D Alan Lindquist; Frank W Schaefer
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7.  Comparison of assays for Cryptosporidium parvum oocysts viability after chemical disinfection.

Authors:  E K Black; G R Finch; R Taghi-Kilani; M Belosevic
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9.  Identification of algae which interfere with the detection of Giardia cysts and Cryptosporidium oocysts and a method for alleviating this interference.

Authors:  M R Rodgers; D J Flanigan; W Jakubowski
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10.  The elderly and waterborne Cryptosporidium infection: gastroenteritis hospitalizations before and during the 1993 Milwaukee outbreak.

Authors:  Elena N Naumova; Andrey I Egorov; Robert D Morris; Jeffrey K Griffiths
Journal:  Emerg Infect Dis       Date:  2003-04       Impact factor: 6.883

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Authors:  Yue Hu; Yaoyu Feng; Chengchen Huang; Lihua Xiao
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Authors:  W Ahmed; J P S Sidhu; K Smith; D J Beale; P Gyawali; S Toze
Journal:  Appl Environ Microbiol       Date:  2015-12-18       Impact factor: 4.792

4.  Humans and Hoofed Livestock Are the Main Sources of Fecal Contamination of Rivers Used for Crop Irrigation: A Microbial Source Tracking Approach.

Authors:  Constanza Díaz-Gavidia; Carla Barría; Daniel L Weller; Marilia Salgado-Caxito; Erika M Estrada; Aníbal Araya; Leonardo Vera; Woutrina Smith; Minji Kim; Andrea I Moreno-Switt; Jorge Olivares-Pacheco; Aiko D Adell
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5.  Evidence of Avian and Possum Fecal Contamination in Rainwater Tanks as Determined by Microbial Source Tracking Approaches.

Authors:  W Ahmed; K A Hamilton; P Gyawali; S Toze; C N Haas
Journal:  Appl Environ Microbiol       Date:  2016-06-30       Impact factor: 4.792

6.  Diverse Genotypes and Species of Cryptosporidium in Wild Rodent Species from the West Coast of the USA and Implications for Raw Produce Safety and Microbial Water Quality.

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Journal:  Microorganisms       Date:  2021-04-17

7.  Discovery of New Microneme Proteins in Cryptosporidium parvum and Implication of the Roles of a Rhomboid Membrane Protein (CpROM1) in Host-Parasite Interaction.

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8.  A Single-Pass Type I Membrane Protein from the Apicomplexan Parasite Cryptosporidium parvum with Nanomolar Binding Affinity to Host Cell Surface.

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9.  Cryptosporidium viatorum from the native Australian swamp rat Rattus lutreolus - An emerging zoonotic pathogen?

Authors:  Anson V Koehler; Tao Wang; Shane R Haydon; Robin B Gasser
Journal:  Int J Parasitol Parasites Wildl       Date:  2018-01-08       Impact factor: 2.674

10.  Beaver Fever: Whole-Genome Characterization of Waterborne Outbreak and Sporadic Isolates To Study the Zoonotic Transmission of Giardiasis.

Authors:  Ruth Miller; Clement K-M Tsui; Miguel Uyaguari-Diaz; Patrick Tang; Cedric Chauve; William Hsiao; Judith Isaac-Renton; Natalie Prystajecky
Journal:  mSphere       Date:  2018-04-25       Impact factor: 4.389

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