Abstract
The protozoan parasite Cryptosporidium has emerged as one of the most important water contaminants, causing waterborne outbreaks of diarrheal diseases worldwide. The small size of oocysts under the microscope and the possibility of changes in characteristics of oocysts, mainly in environmental samples, make the taxonomy of the genus difficult if morphologic characteristics are considered. This limitation encouraged the application of molecular methods to identify this microorganism. The aim of this study was to detect and identify by nested-polymerase chain reaction oocysts of Cryptosporidium present in water samples in the state of São Paulo, Brazil. Water samples were concentrated through a membrane filter, DNA was extracted by using a standard technique, and both amplification reactions used forward and reverse oligonucleotides that were complementary to Cryptosporidium 18S ribosomal RNA gene sequences. Thirty water samples from different sites of collection in the state of São Paulo were evaluated. Cryptosporidium oocysts were detected in 30% of the samples. By genoptyping, C. hominis and Cryptosporidium sp. were identified in recreational water and C. meleagridis was identified in surface water samples. This is the first report of C. hominis in environmental samples in Brazil. Although identification of Cryptosporidium is still a difficult task, molecular methods are essential for specific identification and are a helpful tool to aid to understand the epidemiology of this parasite in Brazil.
Introduction
The protozoan parasite Cryptosporidium has emerged as one of the most important contaminants of water, causing waterborne outbreaks of diarrheal diseases worldwide. Several outbreaks have been reported in which the source of oocysts were the aquatic environment, including surface and recreational waters.1 The most important waterborne outbreak of Cryptosporidium occurred in Milwaukee, Wisconsin, in 1993 and affected approximately 403,000 persons. Since that time, this protozoan is considered one of the main pathogens responsible for gastrointestinal disease associated to water transmission in the United States.2
Cryptosporidium is a strict intracellular parasite, and its infectious forms are oocysts eliminated in stool of several hosts, including humans.3 Domestic and wild animals are important reservoirs in the transmission of this zoonosis to humans, and water plays an important role in the spread of contaminant oocysts, which are excreted in a variety of environments.4,5
The oocysts can survive for long periods in fresh waters, and are resistant to water chlorination processes. Another contributing factor that makes it difficult to remove oocysts is their small size, 3–7 µm, which decreases the elimination capacity of filtration processes.4,6
Correct identification of this pathogen is extremely important, not only because of clinical aspects, but also for epidemiologic studies. Although conventional methods used to identify parasite agents in stool samples show good results and applicability, these methods could represent a complex task when environmental samples are considered.
Several molecular techniques have been recently developed to detect nucleic acid polymorphism or allelic variation at enzymatic levels in different classes of microorganisms. These tools have increased knowledge of the genetic structure, differentiation, and classification of Cryptosporidium species.7
Currently, the literature reports several methods for detection, identification, and enumeration of Cryptosporidium oocysts in water and fecal samples. Therefore, standardization of efficient, reproducible, and simple techniques are still needed to ensure that these methods will not remain restricted to research centers.8
In São Paulo State, Brazil, studies have described the presence of Cryptosporidium oocysts in water sources,9–12 sewage,13,14 bottled mineral water,15 marine bivalve mollusks,16 and day care centers,17,18 but no waterborne infections have been reported.
Only a few studies in Brazil have applied molecular methods to detect Cryptosporidium oocysts in fecal samples.19,20 To our knowledge there are no available studies using molecular methods for detecting and genotyping these protozoan in surface and recreational waters in Brazil. However, Cryptosporidium in domestic and wild animals in Brazil has been investigated, mostly because of their importance as reservoirs and in spread of the parasite (Table 1).
Table 1.
Studies applying molecular methods for identification of Cryptosporidium, São Paulo, Brazil*
| Molecular method | Source of fecal samples | Species | Reference |
|---|---|---|---|
| Nested PCR and DNA sequencing | Birds | C. baileyi, C. galli, C. parvum, C. meleagridis, and C. avian genotypes I, II, III | 46 |
| Nested PCR and DNA sequencing | Lambs | C. parvum type A, C. parvum type B, and cervid genotype | 48 |
| Nested PCR and DNA sequencing | Birds | C. galli | 41 |
| Nested PCR and RFLP | Humans | C. hominis and C. parvum | 20 |
| Nested PCR and RFLP | Humans | C. hominis, C. parvum, and C. meleagridis | 40 |
| PCR, RFLP and DNA sequencing | Domestic animals | C. baileyi, C. melagridis, Cryptosporidium sp., C. felis, C. canis, and C. parvum | 39 |
| Nested PCR and DNA sequencing | Capybara (Hydrochoerus hydrochaeris) | C. parvum type A and C. parvum subtype IiaA15G2R1 | 45 |
| PCR and RFLP | Humans | C. hominis and C. parvum | 49 |
| PCR | Canines | C. parvum | 43 |
| Nested PCR and DNA sequencing | Ostriches (Struthio camelus) | C. baileyi isolate ostrich BR-01 | 44 |
| PCR and DNA sequencing | Humans | C. hominis | 18 |
| Nested PCR and RFLP | Ostriches (Struthio camelus) | C .baileyi and C. meleagridis | 47 |
| Nested PCR and RFLP | Humans | C. parvum | 42 |
PCR = polymerase chain reaction; RFLP = restriction fragment length polymorphism.
The aim of the present study was to conduct a preliminary investigation on the presence of Cryptosporidium species in water sources in the State of São Paulo, Brazil, to understand the distribution and dissemination route of this pathogenic protozoan parasite.
Materials and Methods
Sampling collection and preparation.
Thirty water samples were examined during May 2005–December 2006. Twelve of these samples were recreational water obtained from the Ribeirão da Fazenda Basin on the northern coast of São Sebastião, São Paulo State. The remaining 18 samples were surface water obtained from locations at the Water Resource Management Unities (UGRHI) located around São Paulo: UGRHI-02 Paraiba do Sul River Basin, UGRHI-05 Piracicaba Basin, Capivari and Jundiai River Basin, UGRHI-06 Alto Tiete Basin, and UGRHI-07 Baixada Santista (Table 2).21
Table 2.
Positive and negative results for genotyping of Cryptosporidium in the studied samples, São Paulo, Brazil*
| Sample | Collection sites | Species | PCR result |
|---|---|---|---|
| 1 | – | P | |
| 2 | – | P | |
| 3 | – | N | |
| 4 | – | N | |
| 5 | C. hominis | P | |
| 6 | Ribeirão da Fazenda S. Sebastião/SP Channel Pontal da Cruz | – | N |
| 7 | – | N | |
| 8 | – | N | |
| 9 | – | N | |
| 10 | – | N | |
| 11 | – | P | |
| 12 | Cryptosporidium sp. | P | |
| 13 | Piracicaba River, Piracicaba (UGRHI 05) | – | P |
| 14 | Cotia River, ETA† from down Cotia (UGRHI06) | – | N |
| 15 | Piracicaba River, Americana (UGRHI 05) | – | P |
| 16 | Paraíba River, Aparecida (UGRHI 02) | – | N |
| 17 | Guarapiranga Reservoir – SABESP (UGRHI 06) | C. meleagridis | P |
| 18 | Atibaia River, Atibaia (UGRHI 05) | – | N |
| 19 | Atibaia River, Campinas (UGRHI 05) | – | P |
| 20 | Piracicaba River, Americana-Cariobá (UGRHI05) | – | N |
| 21 | Atibaia River, Atibaia (UGRHI 05) | – | N |
| 22 | Atibaia River, Campinas-Valinhos (UGRHI 05) | – | N |
| 23 | Piracicaba River, Americana-Cariobá (UGRHI 05) | – | N |
| 24 | Capivarí River, Campinas (UGRHI 05) | – | N |
| 25 | Atibaia River, Atibaia (UGRHI 05) | – | N |
| 26 | Atibaia River, Campinas-Valinhos (UGRHI 05) | – | N |
| 27 | Cotia River, ETA† from down Cotia (UGRHI 06) | – | N |
| 28 | Paraíba River, Aparecida (UGRHI 02) | – | N |
| 29 | Paraíba River, Aparecida (UGRHI 02) | – | N |
| 30 | Exit Channel II, H. Borden Usine (UGRHI 07) | – | N |
PCR = polymerase chain reaction; P = positive; N = negative; UGRHI = water resource management unities.
Water treatment station.
Samples (10 liters) were collected and concentrated within 24 hours of collection by using a modified membrane filtration technique. After centrifugation, the pellet was stored at –20°C for further processing. Extraction of genomic DNA was performed by using the phenol-chloroform-isoamilic alcohol protocol, and DNA was stored at 4°C. Nested polymerase chain reaction (PCR) assays were performed using primers specific for a polymorphic region of the 18S ribosomal RNA gene of Cryptosporidium spp. The initial PCR was performed with primers SCL1 and CPB-DIAGR, which amplified a fragment of 1,035 basepairs. For the second amplification, primers used were SCL2 and SCR2, which amplified a fragment of approximately 220 base pairs. The nested PCR product was visualized by electrophoresis on a 2% agarose gel and staining with ethidium bromide.22–24
Sequencing and phylogenetic analysis.
Molecular clonning and sequencing were carried out as described by Ivanova and others.25 Analyses of 220 positions of 18S ribosomal RNA gene sequences of the clones were compared with their closest relatives in GenBank by BLAST searches (http://blast.ncbi.nlm.nih.gov/Blast.cgi). Additional phylogenetic and molecular evolutionary analyses were performed with MEGA version 4.1 software26,27 and the neighbor-joining method.28,29
GenBank accession numbers.
GenBank accession numbers of 18S ribosomal RNA gene reference sequences used in this study for alignments and phylogenetic tree construction were AF108865 for C. hominis, AF115378.1 for C. wrairi, AF112574.1 for C. meleagridis, AF112575.1 for C. felis, AF112573.1 for C. saurophilum, AF093493.1 for C. parvum, AF108860 for C. fayerii, AB210854.1 for C. canis, AF108861 for C. suis, EF514234.1 for C. bovis, AY954882.1 for C. baileyi, AF093502.1 for C. serpentis, L19069.1 for C. muris, and AY954885.1 for C. andersoni. Sequences E440, E456, E508, and E441 refer to clinical samples from São Paulo, Brazil.
Results
In the present study, 30 water samples from several sites in the State of São Paulo were collected during 2005–2006, of which 9 were positive for Cryptosporidium by PCR (Table 2). At one of the collection sites (Ribeirão da Fazenda, São Sebastião), 12 recreational water samples were collected, of which 5 (41.7%) were positive. For the superficial water samples collected from rivers and reservoirs (Piracicaba/Piracicaba, Piracicaba/Americana, Atibaia/Atibaia, and Guarapiranga Dam), molecular detection was possible in 4 (22.2%). Results obtained in this study demonstrate the difficulty in detection and identification of Cryptosporidium in environmental samples already reported in previous studies.
Discussion
Our study is the first in Brazil in which genotyped Cryptosporidium oocysts were detected in water samples. Although the PCR is extremely sensitive and efficient when a pure DNA suspension is used, amplification can be reduced by inhibitor components frequently found in stool and environmental samples. Several studies used replicas in PCR assays when working with water samples, not only to increase the number of oocysts, but to facilitate identification of multiple species that can be present in this type of sample.24,30–32
In Brazil, several studies have reported Cryptosporidium oocysts in raw or treated sewage and bottled mineral water by using immunomagnetic separation or Percoll or sucrose gradients, followed by immunofluorescence, phase contrast microscopy, or epifluorescence.13–15,33
Hachich and others11 studied different hydrographic basins containing water for human consumption in the State of São Paulo by using the 1623 USEPA method. They reported prevalences of 2.5% for Cryptosporidium oocysts and 27% for Giardia cysts. In a study conducted by the Company of Environmental Sanitation Technology in São Paulo, eight water resources management units in specific areas of the State of São Paulo surrounded by highly populated and industrialized areas were tested for Cryptosporidium and Giardia. Results of this study showed that of 207 water samples analyzed by using the 1623 USEPA method, 8.7% were positive for Cryptosporidium.34 In addition, inter-laboratory assays have been performed to evaluate comparability and reproducibility of standardized molecular tools used to genotype Cryptosporidium.35–37
Because of the low number of oocysts present in water samples, mainly in surface water in which they are diluted, large volumes of water are required to perform the assays. In addition to the USEPA 1623 method,38 other methods such as standard methods for examination of water and wastewater and the alternate method have been used worldwide.8 These methods require filtration through filter membranes or cartridges, sample purification, and immunofluorescence visualization by using specific antibodies.8
In Brazil, data on genotypic identification of Cryptosporidium from environmental samples are scarce. However, in our study, analysis of Cryptosporidium 18S ribosomal RNA gene sequences obtained by the neighbor-joining method identified C. hominis and a Cryptosporidium sp. in recreational water samples and C. meleagridis in superficial water from the Guarapiranga Dam (Figure 1). Therefore, species circulating in water in Brazil may be underestimated.
Figure 1.

Phylogenetic relationship among Cryptosporidium sequences retrieved from GenBank and the sequences EU853174, EU853175 and EU853176 genotyped in this study, inferred by maximum parsimony likelihood analysis of the partial 18S ribosomal RNA gene. Values on branches represent bootstrapping using 1,000 replicas.
Sequencing of samples in our study resulted in profiles compatible to the species C. hominis (EU853174), C. meleagridis (EU853175.1), and Cryptosporidium sp. (EU853176) when compared with homologous sequences available in GenBank. Among the species identified, C. hominis showed 100% similarity with sequences in GenBank (Figure 1).
Some characteristics of the sites where each sample was collected may have been favorable for C. hominis. On the basis of the data in this report, the presence of Cryptosporidium species indicates that the most probable source of contamination is human. Recreational water sites (Ribeirão da Fazenda River) often show contamination because of human activities, which represents a risk factor for enteric diseases. This contamination decreases water quality.
Recently, C. meleagridis, C. bailey, C. felis, C. canis, and C. parvum were identified in fecal samples from a variety of domestic animals in Rio de Janeiro, a neighbor state of São Paulo.39 In our study, C. meleagridis was identified in sample 17 from the Guarapiranga Dam (Table 2). This species was identified as the etiologic agent of diarrhea in domestic birds, and its zoonotic characteristics are well elucidated. This species is now recognized as the third most common Cryptosporidium species in humans. This species has also been detected in immunocompromized patients in Brazil, which makes the results obtained in this study of great epidemiologic importance.40
For any surveillance system, it is important to know which species of pathogenic microorganisms are infecting humans and what are the sources of infection. The use of genotyping methods to identify Cryptosporidium oocysts of clinical interest for humans present in environmental samples would provide valuable information to sanitary authorities. This information will be helpful in prevention and control of cryptosporidiosis. The results of this study suggest that the method used for concentration and detection of DNA from Cryptosporidium species was sensitive and specific, even at low concentrations of oocysts in water samples.
The availability of drinking water and adequate sanitation are essential for maintenance of human and environmental health. However, if one considers the importance of Cryptosporidium as a waterborne agent and the low infectious dose (1–100 oocysts), it is extremely important that appropriate treatment of water sources used for human consumption is conducted.
Footnotes
Financial support: This study was supported by Fundação de Amparo à Pesquisa do Estado de São Paulo (grants 2005/03783-0 and 2006/01532-2).
Authors' addresses: Ronalda S. Araújo, Faculdade de Saúde Pública da Universidade de São Paulo, São Paulo, Brazil and Hospital das Clínicas da Faculdade de Medicina de São Paulo, São Paulo, Brazil, E-mail: ronalda@usp.br. Licia N. Fernandes, Glavur R. Matté, Milena Dropa, and Maria Helena Matté, Faculdade de Saúde Pública da Universidade de São Paulo, São Paulo, Brazil, E-mails: licianatal@usp.br, grmatte@usp.br, milenadropa@usp.br, and mhmatte@usp.br. Terezinha T. Carvalho, Seção de Enteroparasitoses do Instituto Adolfo Lutz, São Paulo, Brazil, E-mail: ttravassos@ial.sp.gov.br. Maria Inês Z. Sato, Companhia de Tecnologia de Saneamento Ambiental do Estado de São Paulo, São Paulo, Brazil, E-mail: mariaz@cetesbnet.gov.br. Rodrigo M. Soares, Faculdade de Medicina Veterinária e Zootecnia da Universidade de São Paulo, São Paulo, Brazil, E-mail: rosoares@usp.br.
References
- 1.Karanis P, Kourenti C, Smith H. Waterborne transmission of protozoan parasites: a worldwide review of outbreaks and lessons learnt. J Water Health. 2007;5:1–38. doi: 10.2166/wh.2006.002. [DOI] [PubMed] [Google Scholar]
- 2.Zhou L, Singh A, Jiang J, Xiao L. Molecular surveillance of Cryptosporidium spp. in raw wastewater in Milwaukee: implications for understanding outbreak occurrence and transmission dynamics. J Clin Microbiol. 2003;41:5254–5257. doi: 10.1128/JCM.41.11.5254-5257.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Fayer R, Morgan U, Upton SJ. Epidemiology of Cryptosporidium: transmission, detection and identification. Int J Parasitol. 2000;30:1305–1322. doi: 10.1016/s0020-7519(00)00135-1. [DOI] [PubMed] [Google Scholar]
- 4.Carey CM, Lee H, Trevors JT. Biology, persistence and detection of Cryptosporidium hominis oocyst. Water Res. 2004;38:285–290. doi: 10.1016/j.watres.2003.10.012. [DOI] [PubMed] [Google Scholar]
- 5.Fayer R, Dubey JP, Lindsay DS. Zoonotic protozoa: from land to sea. Trends Parasitol. 2004;20:531–536. doi: 10.1016/j.pt.2004.08.008. [DOI] [PubMed] [Google Scholar]
- 6.Franco RM. Protozoários de veiculação hídrica: relevância em saúde pública. Rev Panam Infectol. 2007;9:36–43. [Google Scholar]
- 7.Xiao L, Alderisio K, Limor J, Royer M, Lal AA. Identification of species and sources of Cryptosporidium oocysts in storm waters with a small-subunit rRNA-based diagnostic and genotyping tool. Appl Environ Microbiol. 2000;66:5492–5498. doi: 10.1128/aem.66.12.5492-5498.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Lee Y, Gomez LL, Mcauliffe IT, Tsang VC. Evaluation of Cryptosporidium parvum oocyst recovery efficiencies from various filtration cartridges by eletrochemiluminescence assays. Lett Appl Microbiol. 2004;39:156–162. doi: 10.1111/j.1472-765X.2004.01552.x. [DOI] [PubMed] [Google Scholar]
- 9.Farias EW, Gamba RC, Pellizari VH. Detection of Cryptosporidium spp. oocysts in raw sewage and creek water in the city of São Paulo, Brazil. Braz J Microbiol. 2002;33:41–43. [Google Scholar]
- 10.Franco RM, Rocha ER, Cantusio NR. Occurrence of Cryptosporidium oocysts and Giardia cysts in raw water the Atibaia River, Campinas, Brazil. Rev Inst Med Trop Sao Paulo. 2001;43:109–111. doi: 10.1590/s0036-46652001000200011. [DOI] [PubMed] [Google Scholar]
- 11.Hachich EM, Sato MI, Galvani AT, Menegon JR, Mucci JL. Giardia and Cryptosporidium in source waters of São Paulo State, Brazil. Water Sci Technol. 2004;50:230–245. [PubMed] [Google Scholar]
- 12.Razzolini MT, Silva TF, Bastos VK. Detection of Giardia and Cryptosporidium cysts/oocysts in watersheds and drinking water sources in Brazil urban areas. J Water Health. 2010;8:399–404. doi: 10.2166/wh.2009.172. [DOI] [PubMed] [Google Scholar]
- 13.Neto RC, Santos LU, Franco RM. Evaluation of sludge treatment and the efficiency of the disinfection of Giardia species cysts and Cryptosporidium oocysts by UV at a sludge treatment plant in Campinas, south-east Brazil. Water Sci Technol. 2006;54:89–94. doi: 10.2166/wst.2006.453. [DOI] [PubMed] [Google Scholar]
- 14.Santos LU, Bonatti TR, Cantusio Neto R, Franco RM. Occurrence of Giardia cysts and Cryptosporidium oocysts in activated sludge sample in Campinas, SP, Brazil. Rev Inst Med Trop Sao Paulo. 2004;46:309–313. doi: 10.1590/s0036-46652004000600003. [DOI] [PubMed] [Google Scholar]
- 15.Franco RM, Cantusio NR. Occurrence of Cryptosporidium oocysts and Giardia cysts in bottled mineral water commercialized in city of Campinas, State of São Paulo, Brazil. Mem Inst Oswaldo Cruz. 2002;97:205–207. doi: 10.1590/s0074-02762002000200012. [DOI] [PubMed] [Google Scholar]
- 16.Leal DA, Franco RM. Moluscos bivalves destinados ao consumo humano como vetores de protozoários patogênicos: metodologias de detecção e normas de controles. Rev Panam Infectol. 2008;10:48–57. [Google Scholar]
- 17.Carvalho-Almeida TT, Pinto PLS, Quadros CM, Torres DM, Kanamura HY, Casimiro AM. Detection of Cryptosporidium sp. in non diarrheal faeces from children, in a day care center in the city of São Paulo, Brazil. Rev Inst Med Trop Sao Paulo. 2006;48:27–32. doi: 10.1590/s0036-46652006000100006. [DOI] [PubMed] [Google Scholar]
- 18.Gonçalves EM, Silva AJ, Eduardo MB, Uemura IH, Moura IN, Castilho VL, Corbett CE. Multilocus genotyping of Cryptosporidium hominis associated with diarrhea outbreak in a day care unit in São Paulo. Clinics. 2006;61:119–126. doi: 10.1590/s1807-59322006000200006. [DOI] [PubMed] [Google Scholar]
- 19.Carvalho Almeida TT, Cassemiro AM, Matté GR, Matté MH. An improved method for extracting Cryptosporidium sp. DNA from preserved faeces and potential application for cryptosporidiosis surveillance. REVISA. 2005;1:208–210. [Google Scholar]
- 20.Gonçalves EM, Araújo RS, Orban MI, Matté GR, Matté MH, Corbett CE. Protocol for DNA extraction of Cryptosporidium spp. oocysts in fecal samples. Rev Inst Med Trop Sao Paulo. 2008;50:165–167. doi: 10.1590/s0036-46652008005000002. [DOI] [PubMed] [Google Scholar]
- 21.Companhia de Tecnologia de Saneamento Ambiental—CETESB Relatório de Qualidade das Ááguas Interiores do Estado de São Paulo: CETESB, 2007. 2006. http://www.cetesb.sp.gov.br/Agua/rios/publicacoes.asp Available at. Accessed January 20, 2008.
- 22.Araujo RS, Carvalho RT, Matte GR, Fernades LN, Balsalobre LC, Matte MH. Modified method for detection of Cryptosporidium oocysts using DNA templates extracted from environmental samples. Rev Inst Adolfo Lutz. 2010;69:141–143. [Google Scholar]
- 23.Coupe S, Sarfati C, Hamane S, Derouin F. Detection of Cryptosporidium and identification to the species level by nested PCR and restriction fragment length plymorphism. J Clin Microbiol. 2005;43:1017–1023. doi: 10.1128/JCM.43.3.1017-1023.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Xiao L, Kerri AA, Jiang J. Detection of Cryptosporidium oocysts in water: effect of the number of samples and analytic replicates on test results. Appl Environ Microbiol. 2006;72:5942–5947. doi: 10.1128/AEM.00927-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Ivanova EP, Romanenko LA, Matté MH, Matté GR, Lysenko AM, Simidu U, Kita-Tsukamoto K, Sawabe T, Vysotskii MV, Frolova GM, Mikhailov V, Christen R, Colwell RR. Retrieval of the species Alteromonas tetraodonis Simidu et al. 1990 as Pseudoalteromonas tetraodonis comb. nov. and emendation of description. Int J Sys Evol Microbiol. 2001;51:1071–1078. doi: 10.1099/00207713-51-3-1071. [DOI] [PubMed] [Google Scholar]
- 26.Tamura K, Dudley J, Nei M, Kumar S. MEGA4: molecular evolutionary genetics analysis (MEGA) software version 4.0. Mol Biol Evol. 2007;24:1596–1599. doi: 10.1093/molbev/msm092. [DOI] [PubMed] [Google Scholar]
- 27.Kumar S, Nei M, Dudley J, Tamura K. MEGA: a biologist-centric software for evolutionary analysis of DNA and protein sequences. Brief Bioinform. 2008;9:299–306. doi: 10.1093/bib/bbn017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Saitou N, Nei M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987;4:406–425. doi: 10.1093/oxfordjournals.molbev.a040454. [DOI] [PubMed] [Google Scholar]
- 29.Tamura K, Nei M, Kumar S. Prospects for inferring very large phylogenies by using the neighbor-joining method. Proc Natl Acad Sci USA. 2004;101:11030–11035. doi: 10.1073/pnas.0404206101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Xiao L, Fayer R, Ryan U, Upton SJ. Cryptosporidium taxonomy, recent advences and implications for public health. Clin Microbiol Rev. 2004;17:72–77. doi: 10.1128/CMR.17.1.72-97.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Jiang J, Alderisio KA, Singh A, Xiao L. Development of procedures for direct extraction of Cryptosporidium DNA from water concentrates and for relief of PCR inhibitors. Appl Environ Microbiol. 2005a;75:1135–1141. doi: 10.1128/AEM.71.3.1135-1141.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Ruecker NJ, Braithwaite SL, Topp E, Edge T, Lapen DR, Wilkes G, Robertson W, Medeiros D, Sensen CW, Neumann NF. Tracking host sources of Cryptosporidium spp. in raw water for improved health risk assessment. Appl Environ Microbiol. 2007;73:3945–3957. doi: 10.1128/AEM.02788-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Heller L, Vieira MB, Brito LL, Salvador DP. Desempenho da filtração lenta em areia submetida a cargas de pico de oocistos de Cryptosporidium sp. bactérias e sólidos: uma avaliação em instalação piloto. Eng Sanit Ambient. 2006;11:27–38. [Google Scholar]
- 34.Sato MI, Galvani AT, Padula JA, Razzolini MT, Hachich EM. 14th International Symposium on Health—Related Water Microbiology. Tokyo: 14th International Symposium on Health-Related Water Microbiology; 2007. (Assessing the risk from Giardia and Cryptosporidium in public water delivered by surface water systems). [Google Scholar]
- 35.Ferguson C, Deere D, Sinclair M, Chalmers RM, Elwin K, Hadfield S, Xiao L, Ryan U, Gasser R, El-Osta YA, Stevens M. Meeting report: application of genotyping methods to assess risks from Cryptosporidium in watersheds. Environ Health Perspect. 2006;114:430–434. doi: 10.1289/ehp.8240. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Jiang J, Alderisio KA, Xiao L. Distribution of Cryptosporidium genotypes in storm event water samples from three watersheds in New York. Appl Environ Microbiol. 2005;71:4446–4454. doi: 10.1128/AEM.71.8.4446-4454.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Xiao L, Singh A, Limor J, Graczyk TK, Gradus S, Lal A. Molecular characterization of Cryptosporidium oocysts in samples of raw surface water and wastewater. Appl Environ Microbiol. 2001;67:1097–1101. doi: 10.1128/AEM.67.3.1097-1101.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Environmental Protection Agency United States – EPA . Washington, DC: 2005. http://www.epa.gov/microbes/ Available at. Accessed February 4, 2008. [Google Scholar]
- 39.Humber F, Da Silva S, Bomfim TC, Teixeira KR, Bello AR. Genotypic characterization and phylogenetic analysis of Cryptosporidium sp. from domestic animals in Brazil. Vet Parasitol. 2007;150:65–74. doi: 10.1016/j.vetpar.2007.08.018. [DOI] [PubMed] [Google Scholar]
- 40.Araújo AJ, Kanamura HY, Almeida ME, Gomes AH, Pinto TH, Da Silva AJ. Genotypic identification of Cryptosporidium spp. isolated from HIV-infected patients and immunocompetent children of São Paulo, Brazil. Rev Inst Med Trop Sao Paulo. 2008;50:139–143. doi: 10.1590/s0036-46652008005000003. [DOI] [PubMed] [Google Scholar]
- 41.Antunes RG, Simões DC, Nakamura AA, Meireles MV. Natural infection with Cryptosporidium galli in canaries (Serinus canaria), in a cockatiel (Nymphicus hollandicus), and in lesser seed-finches (Oryzoborus angolensis) from Brazil. Avian Dis. 2008;52:702–705. doi: 10.1637/8356-051208-Case.1. [DOI] [PubMed] [Google Scholar]
- 42.Gatei W, Greensill J, Ashford RW, Cuevas LE, Parry CM, Cunliffe NA, Beeching NJ, Hart CA. Molecular analysis of the 18S rRNA gene of Cryptosporidium parasites from patients with or without human immunodeficiency virus infections living in Kenya, Malawi, Brazil, the United Kingdom, and Vietnam. J Clin Microbiol. 2003;41:1458–1462. doi: 10.1128/JCM.41.4.1458-1462.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Lallo M, Bondan EF. Prevalence of Cryptosporidium sp. in institutionalized dogs in the city of São Paulo, Brazil. Rev Saude Publica. 2006;40:120–125. doi: 10.1590/s0034-89102006000100019. [DOI] [PubMed] [Google Scholar]
- 44.Meireles MV, Soares RM, Santos MM, Gennari SM. Biological studies and molecular characterization of a Cryptosporidium isolate from ostriches (Struthio camelus) J Parasitol. 2006;92:623–626. doi: 10.1645/0022-3395(2006)92[623:BSAMCO]2.0.CO;2. [DOI] [PubMed] [Google Scholar]
- 45.Meireles MV, Soares RM, Bonello F, Gennari SM. Natural infection with zoonotic subtype of Cryptosporidium parvum in capybara (Hydrohoerus hydrochaeris) from Brazil. Vet Parasitol. 2007;147:166–170. doi: 10.1016/j.vetpar.2007.03.034. [DOI] [PubMed] [Google Scholar]
- 46.Nakamura AA, Simões DC, Antunes RG, Silva DC, Meireles MV. Molecular characterization of Cryptosporidium spp. from fecal samples of birds kept in captivity in Brazil. Vet Parasitol. 2009;166:47–51. doi: 10.1016/j.vetpar.2009.07.033. [DOI] [PubMed] [Google Scholar]
- 47.Santos MM, Peiró JR, Meireles MV. Cryptosporidium infection in ostriches (Struthio camelus) in Brazil: clinical, morphological and molecular studies. Braz J Poul Sci. 2005;7:113–117. [Google Scholar]
- 48.Féres FC, Lombardi AL, Carvalho MP, Mendes LC, Peiró JR, Cadioli FA, Meireles MV, Perri SH, Feitosa FL. Ocorrência e caracterização molecular de Cryptosporidium em cordeiros. Arq Bras Med Vet Zootec. 2009;61:1002–1005. [Google Scholar]
- 49.Bushen OU, Kohli A, Pinkerton RC, Dupnik K, Newman RD, Sears CL, Fayer R, Lima AA, Guerrant RL. Heavy cryptosporidial infections in children in northeast Brazil: comparison of Cryptosporidium hominis and Cryptosporidium parvum. Trans R Soc Trop Med Hyg. 2007;101:378–384. doi: 10.1016/j.trstmh.2006.06.005. [DOI] [PubMed] [Google Scholar]
