ArticleApplied and environmental microbiology2014
Assessment of Giardia and Cryptosporidium spp. as a microbial source tracking tool for surface water: application in a mixed-use watershed.
Article in Applied and environmental microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
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- Metagenomic detection of protozoan parasites on leafy greens aided by a rapid and efficient DNA extraction protocol.Frontiers in microbiology · 2025Article
- Source tracking of fecal contamination in Asian green mussels (Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2024Article
- Burden and Epidemiology of Human IntestinalTropical medicine and infectious disease · 2022Review
- Molecular Identification of Parasitic ProtozoaVeterinary sciences · 2022Article
- Detection ofMicroorganisms · 2022Review
- Humans and Hoofed Livestock Are the Main Sources of Fecal Contamination of Rivers Used for Crop Irrigation: A Microbial Source Tracking Approach.Frontiers in microbiology · 2022Article
- Occurrence of Giardia duodenalis in selected stations and tributary rivers of Laguna Lake, Philippines.Environmental monitoring and assessment · 2021Article
- A Single-Pass Type I Membrane Protein from the Apicomplexan ParasiteMicroorganisms · 2021Article
- Diverse Genotypes and Species ofMicroorganisms · 2021Article
- Discovery of New Microneme Proteins inFrontiers in veterinary science · 2021Article
- Cryptosporidium parvum Elongation Factor 1α Participates in the Formation of Base Structure at the Infection Site During Invasion.The Journal of infectious diseases · 2020Article
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- Evidence of Avian and Possum Fecal Contamination in Rainwater Tanks as Determined by Microbial Source Tracking Approaches.Applied and environmental microbiology · 2016Article
- Distributions of Fecal Markers in Wastewater from Different Climatic Zones for Human Fecal Pollution Tracking in Australian Surface Waters.Applied and environmental microbiology · 2016Article
- Occurrence, source, and human infection potential of Cryptosporidium and Enterocytozoon bieneusi in drinking source water in Shanghai, China, during a pig carcass disposal incident.Environmental science & technology · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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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