scholarly journals Molecular surveillance of Cryptosporidium spp. for microbial source tracking of fecal contamination in Laguna Lake, Philippines

2021 ◽  
Author(s):  
Laurice Beatrice Raphaelle O. dela Peña ◽  
Mark Raymond A. Vejano ◽  
Windell L. Rivera
Keyword(s):  
Water Samples ◽  
Fecal Contamination ◽  
Small Subunit ◽  
Source Tracking ◽  
Rrna Gene ◽  
Molecular Surveillance ◽  
Cryptosporidium Spp ◽  
To Come ◽  
Water Quality Deterioration ◽  
Laguna Lake

Abstract Water quality deterioration in source waters poses increased health, environmental, and economic risks. Here, we genotyped Cryptosporidium spp. obtained from water samples of Laguna Lake, Philippines, and its tributaries for the purpose of source-tracking fecal contamination. A total of 104 surface water samples were collected over a 1-year period (March 2018 to April 2019). Detection of Cryptosporidium was carried out using genus-specific primers targeting a fragment of the small subunit (SSU) rRNA gene. The study revealed 8 (14%) tributary samples and 1 (2.77%) lake sample positive for contamination. The species were determined to be C. parvum (n = 4), C. muris (n = 2), C. hominis (n = 1), C. galli (n = 1), C. baileyi (n = 1), C. suis (n = 1), as well as rat genotype IV (n = 1). Two species were detected in duck (C. baileyi) and cattle (C. parvum) fecal samples. The data presented suggest that Cryptosporidium contamination is likely to come from sewage or human feces as well as various agricultural sources (i.e. cattle, swine, and poultry). This information reveals the importance of mitigating fecal pollution in the lake system and minimizing health risks due to exposure to zoonotic Cryptosporidium species.

scholarly journals Evaluation of Two Library-Independent Microbial Source Tracking Methods To Identify Sources of Fecal Contamination in French Estuaries

2007 ◽  
Vol 73 (15) ◽  
pp. 4857-4866 ◽  
Author(s):  
Michèle Gourmelon ◽  
Marie Paule Caprais ◽  
Raphaël Ségura ◽  
Cécile Le Mennec ◽  
Solen Lozach ◽  
...  
Keyword(s):  
Water Samples ◽  
Fecal Contamination ◽  
Microbial Source Tracking ◽  
Source Tracking ◽  
Rrna Gene ◽  
Specific Marker ◽  
Gene Markers ◽  
High Level ◽  
Bird Feces

ABSTRACT In order to identify the origin of the fecal contamination observed in French estuaries, two library-independent microbial source tracking (MST) methods were selected: (i) Bacteroidales host-specific 16S rRNA gene markers and (ii) F-specific RNA bacteriophage genotyping. The specificity of the Bacteroidales markers was evaluated on human and animal (bovine, pig, sheep, and bird) feces. Two human-specific markers (HF183 and HF134), one ruminant-specific marker (CF193′), and one pig-specific marker (PF163) showed a high level of specificity (>90%). However, the data suggest that the proposed ruminant-specific CF128 marker would be better described as an animal marker, as it was observed in all bovine and sheep feces and 96% of pig feces. F RNA bacteriophages were detected in only 21% of individual fecal samples tested, in 60% of pig slurries, but in all sewage samples. Most detected F RNA bacteriophages were from genotypes II and III in sewage samples and from genotypes I and IV in bovine, pig, and bird feces and from pig slurries. Both MST methods were applied to 28 water samples collected from three watersheds at different times. Classification of water samples as subject to human, animal, or mixed fecal contamination was more frequent when using Bacteroidales markers (82.1% of water samples) than by bacteriophage genotyping (50%). The ability to classify a water sample increased with increasing Escherichia coli or enterococcus concentration. For the samples that could be classified by bacteriophage genotyping, 78% agreed with the classification obtained from Bacteroidales markers.

scholarly journals Genetic Diversity of Cryptosporidium in Bactrian Camels (Camelus bactrianus) in Xinjiang, Northwestern China

Pathogens ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 946
Author(s):  
Yangwenna Cao ◽  
Zhaohui Cui ◽  
Qiang Zhou ◽  
Bo Jing ◽  
Chunyan Xu ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Sequence Analysis ◽  
Small Subunit ◽  
Cryptosporidium Species ◽  
Northwestern China ◽  
Rrna Gene ◽  
Cryptosporidium Spp ◽  
Gene Sequence Analysis ◽  
Bactrian Camels ◽  
Ssu Rrna Gene Sequence

Cryptosporidium species are ubiquitous enteric protozoan pathogens of vertebrates distributed worldwide. The purpose of this study was to gain insight into the zoonotic potential and genetic diversity of Cryptosporidium spp. in Bactrian camels in Xinjiang, northwestern China. A total of 476 fecal samples were collected from 16 collection sites in Xinjiang and screened for Cryptosporidium by PCR. The prevalence of Cryptosporidium was 7.6% (36/476). Six Cryptosporidium species, C. andersoni (n = 24), C. parvum (n = 6), C. occultus (n = 2), C. ubiquitum (n = 2), C. hominis (n = 1), and C. bovis (n = 1), were identified based on sequence analysis of the small subunit (SSU) rRNA gene. Sequence analysis of the gp60 gene identified six C. parvum isolates as subtypes, such as If-like-A15G2 (n = 5) and IIdA15G1 (n = 1), two C. ubiquitum isolates, such as subtype XIIa (n = 2), and one C. hominis isolate, such as Ixias IkA19G1 (n = 1). This is the first report of C. parvum, C. hominis, C. ubiquitum, and C. occultus in Bactrian camels in China. These results indicated that the Bactrian camel may be an important reservoir for zoonotic Cryptosporidium spp. and these infections may be a public health threat in this region.

scholarly journals Identification of Human and Animal Adenoviruses and Polyomaviruses for Determination of Sources of Fecal Contamination in the Environment

2006 ◽  
Vol 72 (12) ◽  
pp. 7886-7893 ◽  
Author(s):  
Ayalkibet Hundesa ◽  
Carlos Maluquer de Motes ◽  
Silvia Bofill-Mas ◽  
Nestor Albinana-Gimenez ◽  
Rosina Girones
Keyword(s):  
River Water ◽  
Water Samples ◽  
Environmental Samples ◽  
Fecal Contamination ◽  
Source Tracking ◽  
Animal Origin ◽  
Urban Sewage ◽  
River Water Samples ◽  
Negative Results ◽  
Wastewater Samples

ABSTRACT The Adenoviridae and Polyomaviridae families comprise a wide diversity of viruses which may be excreted for long periods in feces or urine. In this study, a preliminary analysis of the prevalence in the environment and the potential usefulness as source-tracking tools of human and animal adenoviruses and polyomaviruses has been developed. Molecular assays based on PCR specifically targeting human adenoviruses (HAdV), porcine adenoviruses (PAdV), bovine adenoviruses (BAdV), and bovine polyomaviruses (BPyV) were applied to environmental samples including urban sewage, slaughterhouse, and river water samples. PAdV and BPyV were detected in a very high percentage of samples potentially affected by either porcine or bovine fecal contamination, respectively. However, BAdV were detected in only one sample, showing a lower prevalence than BPyV in the wastewater samples analyzed. The 22 slaughterhouse samples with fecal contamination of animal origin showed negative results for the presence of HAdV. The river water samples analyzed were positive for the presence of both human and animal adenoviruses and polyomaviruses, indicating the existence of diverse sources of contamination. The identities of the viruses detected were confirmed by analyses of the amplified sequences. All BPyV isolates showed a 97% similarity in nucleotide sequences. This is the first time that PAdV5, BAdV6, and BPyV have been reported to occur in environmental samples. Human and porcine adenoviruses and human and bovine polyomaviruses are proposed as tools for evaluating the presence of viral contamination and for tracking the origin of fecal/urine contamination in environmental samples.

scholarly journals Evaluation of microbial source tracking methods using mixed fecal sources in aqueous test samples

2003 ◽  
Vol 1 (4) ◽  
pp. 141-151 ◽  
Author(s):  
John F. Griffith ◽  
Stephen B. Weisberg ◽  
Charles D. McGee
Keyword(s):  
Surface Waters ◽  
Water Samples ◽  
Fecal Contamination ◽  
Source Material ◽  
Source Tracking ◽  
Fecal Material ◽  
Comparative Testing ◽  
Specific Pcr ◽  
Phenotypic Methods ◽  
Better Than

Microbiological source tracking (MST) methods are increasingly being used to identify fecal contamination sources in surface waters, but these methods have been subjected to limited comparative testing. In this study, 22 researchers employing 12 different methods were provided sets of identically prepared blind water samples. Each sample contained one to three of five possible fecal sources (human, dog, cattle, seagull or sewage). Researchers were also provided with portions of the fecal material used to inoculate the blind water samples for use as library material. No MST method that was tested predicted the source material in the blind samples perfectly. Host-specific PCR performed best at differentiating between human and non-human sources, but primers are not yet available for differentiating between all of the non-human sources. Virus and F+ coliphage methods reliably identified sewage, but were unable to identify fecal contamination from individual humans. Library-based isolate methods correctly identified the dominant source in most samples, but also had frequent false positives in which fecal sources not in the samples were incorrectly identified as being present. Among the library-based methods, genotypic methods generally performed better than phenotypic methods.

scholarly journals Use of Bacteroidales Microbial Source Tracking To Monitor Fecal Contamination in Fresh Produce Production

2013 ◽  
Vol 80 (2) ◽  
pp. 612-617 ◽  
Author(s):  
Kruti Ravaliya ◽  
Jennifer Gentry-Shields ◽  
Santos Garcia ◽  
Norma Heredia ◽  
Anna Fabiszewski de Aceituno ◽  
...  
Keyword(s):  
Fresh Produce ◽  
Fecal Contamination ◽  
Microbial Source Tracking ◽  
Source Tracking ◽  
Rrna Gene ◽  
Specific Marker ◽  
Production Environment ◽  
Content Type ◽  
Food Borne

ABSTRACTIn recent decades, fresh and minimally processed produce items have been associated with an increasing proportion of food-borne illnesses. Most pathogens associated with fresh produce are enteric (fecal) in origin, and contamination can occur anywhere along the farm-to-fork chain. Microbial source tracking (MST) is a tool developed in the environmental microbiology field to identify and quantify the dominant source(s) of fecal contamination. This study investigated the utility of an MST method based onBacteroidales16S rRNA gene sequences as a means of identifying potential fecal contamination, and its source, in the fresh produce production environment. The method was applied to rinses of fresh produce, source and irrigation waters, and harvester hand rinses collected over the course of 1 year from nine farms (growing tomatoes, jalapeño peppers, and cantaloupe) in Northern Mexico. Of 174 samples, 39% were positive for a universalBacteroidalesmarker (AllBac), including 66% of samples from cantaloupe farms (3.6 log10genome equivalence copies [GEC]/100 ml), 31% of samples from tomato farms (1.7 log10GEC/100 ml), and 18% of samples from jalapeño farms (1.5 log10GEC/100 ml). Of 68 AllBac-positive samples, 46% were positive for one of three human-specific markers, and none were positive for a bovine-specific marker. There was no statistically significant correlation betweenBacteroidalesand genericEscherichia coliacross all samples. This study provides evidence thatBacteroidalesmarkers may serve as alternative indicators for fecal contamination in fresh produce production, allowing for determination of both general contamination and that derived from the human host.

scholarly journals Prevalence and molecular characterization of Cryptosporidium spp. in Père David’s deer (Elaphurus davidianus) in Jiangsu, China

2020 ◽  
Vol 29 (2) ◽  
Author(s):  
Si-Yang Huang ◽  
Yi-Min Fan ◽  
Yi Yang ◽  
Yi-Jun Ren ◽  
Jing-Zhi Gong ◽  
...  
Keyword(s):  
Molecular Characterization ◽  
Small Subunit ◽  
Basic Knowledge ◽  
Rrna Gene ◽  
Ssu Rrna ◽  
Ssu Rrna Gene ◽  
Cryptosporidium Spp ◽  
Père David’S Deer ◽  
Rrna Gene Sequencing

Abstract Cryptosporidium is a zoonotic parasite that causes diarrhea in a broad range of animals, including deer. Little is known about the prevalence and genotype of Cryptosporidium spp. in Père David’s deer. In this study, 137 fecal samples from Père David’s deer were collected between July 2017 and August 2018 in the Dafeng Reserve and analyzed for Cryptosporidium spp. by nested-PCR based on the small subunit ribosomal RNA (SSU rRNA) gene, followed by sequence analyses to determine the species. The 60 kDa glycoprotein (gp60) gene was used to characterize Cryptosporidium spp. Among 137 samples, 2 (1.46%) were positive for Cryptosporidium spp. according to SSU rRNA gene sequencing results. Both samples belonged to the Cryptosporidium deer genotype, with two nucleotide deletions and one nucleotide substitution. The prevalence data and molecular characterization of this study provide basic knowledge for controlling and preventing Cryptosporidium infections in Père David’s deer in this area.

scholarly journals Estimation of Pig Fecal Contamination in a River Catchment by Real-Time PCR Using Two Pig-Specific Bacteroidales 16S rRNA Genetic Markers

2009 ◽  
Vol 75 (10) ◽  
pp. 3045-3054 ◽  
Author(s):  
Sophie Mieszkin ◽  
Jean-Pierre Furet ◽  
G�rard Corthier ◽  
Mich�le Gourmelon
Keyword(s):  
16S Rrna ◽  
Real Time ◽  
Water Samples ◽  
Real Time Pcr ◽  
Fecal Contamination ◽  
Fecal Pollution ◽  
Rrna Gene ◽  
River Catchment ◽  
Pig Farms ◽  
Cattle Farms

ABSTRACT The microbiological quality of coastal or river water can be affected by fecal contamination from human or animal sources. To discriminate pig fecal pollution from other pollution, a library-independent microbial source tracking method targeting Bacteroidales host-specific 16S rRNA gene markers by real-time PCR was designed. Two pig-specific Bacteroidales markers (Pig-1-Bac and Pig-2-Bac) were designed using 16S rRNA gene Bacteroidales clone libraries from pig feces and slurry. For these two pig markers, 98 to 100% sensitivity and 100% specificity were obtained when tested by TaqMan real-time PCR. A decrease in the concentrations of Pig-1-Bac and Pig-2-Bac markers was observed throughout the slurry treatment chain. The two newly designed pig-specific Bacteroidales markers, plus the human-specific (HF183) and ruminant-specific (BacR) Bacteroidales markers, were then applied to river water samples (n = 24) representing 14 different sites from the French Daoulas River catchment (Brittany, France). Pig-1-Bac and Pig-2-Bac were quantified in 25% and 62.5%, respectively, of samples collected around pig farms, with concentrations ranging from 3.6 to 4.1 log10 copies per 100 ml of water. They were detected in water samples collected downstream from pig farms but never detected near cattle farms. HF183 was quantified in 90% of water samples collected downstream near Daoulas town, with concentrations ranging between 3.6 and 4.4 log10 copies per 100 ml of water, and BacR in all water samples collected around cattle farms, with concentrations ranging between 4.6 and 6.0 log10 copies per 100 ml of water. The results of this study highlight that pig fecal contamination was not as frequent as human or bovine fecal contamination and that fecal pollution generally came from multiple origins. The two pig-specific Bacteroidales markers can be applied to environmental water samples to detect pig fecal pollution.

scholarly journals Distribution of Cryptosporidium Genotypes in Storm Event Water Samples from Three Watersheds in New York

2005 ◽  
Vol 71 (8) ◽  
pp. 4446-4454 ◽  
Author(s):  
Jianlin Jiang ◽  
Kerri A. Alderisio ◽  
Lihua Xiao
Keyword(s):  
New York ◽  
Water Samples ◽  
Environmental Protection Agency ◽  
Small Subunit ◽  
Molecular Techniques ◽  
Storm Water ◽  
Detection Methods ◽  
Storm Event ◽  
Rrna Gene ◽  
Small Subunit Rrna

ABSTRACT To assess the source and public health significance of Cryptosporidium oocyst contamination in storm runoff, a PCR-restriction fragment length polymorphism technique based on the small-subunit rRNA gene was used in the analysis of 94 storm water samples collected from the Malcolm Brook and N5 stream basins in New York over a 3-year period. The distribution of Cryptosporidium in this study was compared with the data obtained from 27 storm water samples from the Ashokan Brook in a previous study. These three watersheds represented different levels of human activity. Among the total of 121 samples analyzed from the three watersheds, 107 were PCR positive, 101 of which (94.4%) were linked to animal sources. In addition, C. hominis (W14) was detected in six samples collected from the Malcolm Brook over a 2-week period. Altogether, 22 Cryptosporidium species or genotypes were found in storm water samples from these three watersheds, only 11 of which could be attributed to known species/groups of animals. Several Cryptosporidium spp. were commonly found in these three watersheds, including the W1 genotype from an unknown animal source, the W4 genotype from deer, and the W7 genotype from muskrats. Some genotypes were found only in a particular watershed. Aliquots of 113 samples were also analyzed by the Environmental Protection Agency (EPA) Method 1623; 63 samples (55.7%) were positive for Cryptosporidium by microscopy, and 39 (78%) of the 50 microscopy-negative samples were positive by PCR. Results of this study demonstrate that molecular techniques can complement traditional detection methods by providing information on the source of contamination and the human-infective potential of Cryptosporidium oocysts found in water.

scholarly journals Cryptosporidium Species and C. parvum Subtypes in Farmed Bamboo Rats

Pathogens ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 1018
Author(s):  
Falei Li ◽  
Wentao Zhao ◽  
Chenyuan Zhang ◽  
Yaqiong Guo ◽  
Na Li ◽  
...  
Keyword(s):  
Detection Rate ◽  
Small Subunit ◽  
Cryptosporidium Species ◽  
Rrna Gene ◽  
Human Pathogens ◽  
Small Subunit Rrna ◽  
Sequence Analyses ◽  
Genotype I ◽  
Cryptosporidium Spp ◽  
Bamboo Rat

Bamboo rats (Rhizomys sinensis) are widely farmed in Guangdong, China, but the distribution and public health potential of Cryptosporidium spp. in them are unclear. In this study, 724 fecal specimens were collected from bamboo rats in Guangdong Province and analyzed for Cryptosporidium spp. using PCR and sequence analyses of the small subunit rRNA gene. The overall detection rate of Cryptosporidium spp. was 12.2% (88/724). By age, the detection rate in animals under 2 months (23.2% or 13/56) was significantly higher than in animals over 2 months (11.2% or 75/668; χ2 = 6.95, df = 1, p = 0.0084). By reproduction status, the detection rate of Cryptosporidium spp. in nursing animals (23.1% or 27/117) was significantly higher than in other reproduction statuses (6.8% or 4/59; χ2 = 7.18, df = 1, p = 0.0074). Five Cryptosporidium species and genotypes were detected, including Cryptosporidium bamboo rat genotype I (n = 49), C. parvum (n = 31), Cryptosporidium bamboo rat genotype III (n = 5), C. occultus (n = 2), and C. muris (n = 1). The average numbers of oocysts per gram of feces for these Cryptosporidium spp. were 14,074, 494,636, 9239, 394, and 323, respectively. The genetic uniqueness of bamboo rat genotypes I and III was confirmed by sequence analyses of the 70 kDa heat shock protein and actin genes. Subtyping C. parvum by sequence analysis of the 60 kDa glycoprotein gene identified the presence of IIoA15G1 (n = 20) and IIpA6 (n = 2) subtypes. The results of this study indicated that Cryptosporidium spp. are common in bamboo rats in Guangdong, and some of the Cryptosporidium spp. in these animals are known human pathogens.

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