Distribution of Cryptosporidium oocysts and Giardia cysts in water above and below the normal limit of detection

Environmental surveillance of Cryptosporidium and Giardia in surface supply water and treated sewage intended for reuse from an urban area in Brazil

Environmental monitoring of protozoa, with the potential to trigger diseases, is essential for decision-making by managing authorities and for the control of water surveillance. This study aimed to detect and quantify Cryptosporidium oocysts and Giardia cysts in surface water for drinking water supply and treated sewage for reuse in the city of São Paulo. Samples collected bimonthly for one year were concentrated using the USEPA 1623.1 and 1693 methods for surface water and treated effluents, respectively. Immunofluorescence and nucleic acid amplification techniques were used to detect and quantify (oo)cysts. The cloning technique followed by sequencing and phylogenetic analyses were performed to characterize species and genotypes. The immunofluorescence detected Cryptosporidium spp. and Giardia spp. in 69.2% (9/13) and 100% (13/13) of the surface water samples (0.1-41 oocysts/L and 7.2-354 cysts/L, respectively). In the reuse samples, 85.7% (12/14) were positive for both protozoa and the concentrations varied from 0.4 to 100.6 oocysts/L and 1.2 and 93.5 cysts/L. qPCR assays showed that 100% of surface water (0.1-14.6 oocysts/L and 0.3-639.8 cysts/L) and reused samples (0.1-26.6 oocysts/L and 0.3-92.5 cysts/L) were positive for both protozoa. Species C. parvum, C. hominis, and C. muris were identified using the 18S rRNA gene, demonstrating anthroponotic and zoonotic species in the samples. Multilocus SSU rRNAanalyses of the SSU rRNA, tpi, and gdh genes from Giardia intestinalis identified the AII, BII, and BIV assemblages, revealing that contamination in the different matrices comes from human isolates. The study showed the circulation of these protozoa in the São Paulo city area and the impairment of surface water supply in metropolitan regions impacted by the discharge of untreated or inadequately treated sewage regarding the removal of protozoa, emphasizing the need to implement policies for water safety, to prevent the spread of these protozoa in the population.

A highly sensitive method for detecting Cryptosporidium parvum oocysts recovered from source and finished water using RT-PCR directed to Cryspovirus RNA

Sensitive detection of Cryptosporidium oocysts is important because the protozoan can cause clinical infection in humans at extremely low numbers. In the present study, 1.5 × 10², 1.0 × 10³, or 1.0 × 10⁴C. parvum oocysts were spiked into 10 l of source or finished water in triplicate followed by recovery using Envirochek HV sampling capsules. One subsample of the recovered oocysts was analyzed by commercial immunofluorescence assay (IFA), while a second subsample was subjected to DNA-RNA extraction, followed by RT-PCR using primers directed to the gene encoding Cryspovirus capsid. IFA analysis of Envirochek filter eluates of finished water detected oocysts at all 3 C. parvum oocyst doses, but only at the 1.0 × 10³ and 1.0 × 10⁴ doses in source water. Cryspovirus RT-PCR appeared to offer greater sensitivity than IFA because C. parvum oocysts were detected using this molecular technique in both source and finished water concentrates at all 3 spiking levels. A linear relationship was observed between log oocysts spiking dose and the relative intensity of the Cryspovirus RT-PCR signal for finished water, but not for source water. These data indicate that Cryspovirus RT-PCR is a sensitive method for detecting C. parvum oocysts in source and finished water.

Cryptosporidium oocysts and Giardia cysts-A practical and sensitive method for counting and manipulating small numbers

A rapid and inexpensive method is described for accurate and reproducible counting and manipulating small numbers of Cryptosporidium oocysts and Giardia cysts. From a suspension of oocysts or cysts at concentration from 1000 to 5000/mL (1-5/μL), replicate 5μL droplets are micro pipetted onto the edge of a microscope slide. Unstained oocysts or cysts in each droplet can be counted in a few minutes and replicated for statistical strength. The concentration of the suspension can then be verified by pipetting desired volumes containing approximately desired numbers onto confined 13mm membranes for IFA staining and counting with replication as desired. Requiring only a micropipette, analytical balance, and a microscope, this provides a useful tool accessible to virtually any microbiology laboratory.

Nanomaterials-based biosensors for detection of microorganisms and microbial toxins

Detection of microorganisms and microbial toxins is important for health and safety. Due to their unique physical and chemical properties, nanomaterials have been extensively used to develop biosensors for rapid detection of microorganisms with microbial cells and toxins as target analytes. In this paper, the design principles of nanomaterials-based biosensors for four selected analyte categories (bacteria cells, toxins, mycotoxins, and protozoa cells), closely associated with the target analytes' properties is reviewed. Five signal transducing methods that are less equipment intensive (colorimetric, fluorimetric, surface enhanced Raman scattering, electrochemical, and magnetic relaxometry methods) is described and compared for their sensory performance (in term oflimit of detection, dynamic range, and response time) for all analyte categories. In the end, the suitability of these five sensing principles for on-site or field applications is discussed. With a comprehensive coverage of nanomaterials, design principles, sensing principles, and assessment on the sensory performance and suitability for on-site application, this review offers valuable insight and perspective for designing suitable nanomaterials-based microorganism biosensors for a given application.

Enhancing Cryptosporidium parvum recovery rates for improved water monitoring

Water monitoring is essential to ensure safe drinking water for consumers. However existing methods have several drawbacks, particularly with regard to the poor recovery of Cryptosporidium due to the inability to efficiently elute Cryptosporidium oocysts during the established detection process used by water utilities. Thus the development of new inexpensive materials that could be incorporated into the concentration and release stage that would control Cryptosporidium oocysts adhesion would be beneficial. Here we describe improved filter performance following dip-coating of the filters with a "bioactive" polyacrylate. Specifically 69% more oocysts were eluted from the filter which had been coated with a polymer than on the naked filter alone.

Fine-Scale Spatial Heterogeneity in the Distribution of Waterborne Protozoa in a Drinking Water Reservoir

Background: The occurrence of faecal pathogens in drinking water resources constitutes a threat to the supply of safe drinking water, even in industrialized nations. To efficiently assess and monitor the risk posed by these pathogens, sampling deserves careful design, based on preliminary knowledge on their distribution dynamics in water. For the protozoan pathogens Cryptosporidium and Giardia, only little is known about their spatial distribution within drinking water supplies, especially at fine scale. Methods: Two-dimensional distribution maps were generated by sampling cross-sections at meter resolution in two different zones of a drinking water reservoir. Samples were analysed for protozoan pathogens as well as for E. coli, turbidity and physico-chemical parameters. Results: Parasites displayed heterogeneous distribution patterns, as reflected by significant (oo)cyst density gradients along reservoir depth. Spatial correlations between parasites and E. coli were observed near the reservoir inlet but were absent in the downstream lacustrine zone. Measurements of surface and subsurface flow velocities suggest a role of local hydrodynamics on these spatial patterns. Conclusion: This fine-scale spatial study emphasizes the importance of sampling design (site, depth and position on the reservoir) for the acquisition of representative parasite data and for optimization of microbial risk assessment and monitoring. Such spatial information should prove useful to the modelling of pathogen transport dynamics in drinking water supplies.

LT2 Cryptosporidium data: what do they tell us about Cryptosporidium in surface water in the United States?

Beginning in 2006 a United States Federal regulation required public water suppliers using surface water serving more than 10,000 population to analyze for Cryptosporidium in at least 24 consecutive monthly samples from each surface water source. In July 2012, the U.S. EPA released the resulting data consisting of ca. 45,000 records. No Cryptosporidium were found in 93% of samples and no Cryptosporidium were found in any samples analyzed from over half of 1670 locations sampled. Nevertheless, at 250 locations representing every region of the U.S., Cryptosporidium were found in sufficient numbers of samples to provide a picture of their occurrence nationwide. Data from about 100 sites reporting the highest numbers were examined in detail. Although analysis of matrix spikes was required for quality control, the results do not permit estimating organism concentrations. The data reported at each of the individual sample locations were analyzed in the form of cumulative probability distributions to describe key risk-related features of median level and variability. Taken as a whole, the data describe a spectrum of median Cryptosporidium occurrence in surface waters of the U.S. ranging from ca. 0.005 to ca. 0.5 oocysts/L. The variability at individual sites ranged from ca. 1 to 15 r.s.d. Based on the LT2 positive data, comparison to measurements of other water quality parameters, and independent means of estimating organism production from watersheds reported in the literature, the hypothesis is offered that Cryptosporidium may be found in surface water anywhere worldwide continuously and within the spectrum defined above.

The concentration of Cryptosporidium and Giardia in water--the role and importance of recovery efficiency

The concentration of Cryptosporidium and of Giardia in surface water is a subject of importance to public health and public water supply. The term concentration is a fundamental property of any water quality parameter having a classical definition as used in chemistry and biology. Analytical methods for measuring the occurrence of Cryptosporidium and Giardia in water find only a fraction of the organisms actually present. This paper collects recently available data to examine the role and importance of recovery efficiency measurement to description of the concentrations of these organisms. Data from Australian sources graphically illustrate the variability of recovery efficiency at individual sites over relatively short time scales. Additional data on replicated recovery measurements establish their reproducibility. The recently released USEPA LT2 data along with those from Australia illustrate the independent variation of Cryptosporidium and Giardia occurrence and recovery efficiency at individual sampling locations. Calculation of concentration from paired raw numbers and recovery efficiency measurements clearly shows the magnitude and importance of taking recovery into account in expressing the concentration of these organisms.