SciELO - Scientific Electronic Library Online

vol.7Almacenamiento postcosecha de frutos: Alternativa para mejorar la calidad fisiológica de semillas de chile habaneroDetección de Salmonella spp. en carne bovina procedente de rastros tipo inspección federal (TIF) y rastros “No-TIF” en Nayarit, México índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados




Links relacionados

  • No hay artículos similaresSimilares en SciELO


Revista bio ciencias

versión On-line ISSN 2007-3380

Revista bio ciencias vol.7  Tepic  2020  Epub 18-Nov-2020 

Original articles

Prevalence of Cryptosporidium spp. in dairy livestock from the Laguna region, Mexico

L. L. López Torres1 

O. López Cuevas3 

C. Vázquez Vázquez2 

O. G. Alvarado Gómez1 

R. E. Vázquez Alvarado1 

H. Rodríguez Fuentes1 

C. Chaidez Quiroz3 

J. A. Vidales Contreras1  * 

1 Facultad de Agronomía, Universidad Autónoma de Nuevo León. Francisco Villa s/n. Col. Ex-hacienda “El Canadá”. Escobedo, Nuevo León, México. C.P. 66050.

2 Facultad de Agricultura y Zootecnia, Universidad Juárez del Estado de Durango. Carretera Gómez Palacio-Tlahualilo, Km. 35, Gómez Palacio, Durango, C.P. 35111, Gómez Palacio, Durango, México.

3 Laboratorio Nacional para la Investigación en Inocuidad Alimentaria (LANIIA), Centro de Investigación en Alimentación y Desarrollo, A.C., coordinación Culiacán. Carretera a Eldorado, km. 5.5, Campo El Diez, Culiacán, Sinaloa, México. C.P. 80110.


Cryptosporidiosis is a parasitic disease caused by Cryptosporidium spp. This zoonotic protozoan causes gastrointestinal infections in vertebrate animals, including human. In milk production industry, Cryptosporidium spp. causes morbidity and mortality of adult cattle and calves, and therefore, economic losses. In Mexico, the largest group of milk producers is in the Lagunar Region (LR), where gastrointestinal infections in cattle are frequent; however, the etiology is rarely known. The objective of this investigation was to determine the prevalence of Cryptosporidium spp. in 39 dairy herds of the LR. 78 stool samples were taken from the rectum of adult cattle and pre-weaned calves (39 samples from each group). Cryptosporidium spp. was recovered by sedimentation method with formalin ether and identified by microscopy and PCR, amplifying a region of Hsp 70 gene, and PCR products were sequenced and analyzed. The prevalence of Cryptosporidium spp. was determined in 71.79 % of total samples, which corresponded to 56.41 % of adults analyzed (22/39) and 87.17 % of calves (34/39). Sequences analysis showed a 100 % phylogenetic homology with Cryptosporidium parvum in all the isolates analyzed based on the alignment of Hsp70 gene. The prevalence of Cryptosporidium parvum in dairy herds of LR suggests that this is endemic and represents a risk for dairy industry and public health if manure is applied as a fertilizer in agricultural fields.

Keywords: Cattle; dairy herds; Cryptosporidium spp.; Prevalence; sequencing


La cryptosporidiosis es una enfermedad parasitaria causada por Cryptosporidium spp. Este protozoario zoonótico causa infecciones gastrointestinales en animales vertebrados, incluyendo el hombre. En la industria de producción de leche, Cryptospodidium spp. causa morbilidad y mortalidad de bovinos adultos y terneros, y por lo tanto, pérdidas económicas. En México, el mayor grupo de productores de leche se encuentra en la Región Lagunar (LR), donde las infecciones gastrointestinales en los bovinos son frecuentes; sin embargo, pocas veces se conoce la etiología. El objetivo de esta investigación fue determinar la prevalencia de Cryptosporidium spp. en 39 hatos lecheros de la LR. Se tomaron 78 muestras de heces del recto de bovinos adultos y terneros pre-destetados (39 muestras de cada grupo). Cryptosporidium spp. se recuperó por el método de sedimentación con éter de formalina y se identificaron por microscopia y por PCR, amplificando una región del gen Hsp 70, y los productos de PCR fueron secuenciados y analizados. Se determinó una prevalencia de Cryptosporidium spp. en el 71.79 % del total de las muestras, que correspondió al 56.41 % de los adultos analizados (22/39) y al 87.17 % de los terneros (34/39). El análisis de secuencias mostró una homología filogenética del 100 % con Cryptosporidium parvum en todos los aislados analizados con base en el alineamiento del gen Hsp 70. La prevalencia de Cryptosporidium parvum en hatos lecheros de la LR sugiere que es endémico y representa un riesgo para la industria lechera y de salud pública si el estiércol es aplicado como abono en campos agrícolas.

Palabras clave: Bovinos; hatos lecheros; Cryptosporidium spp.; prevalencia; secuenciación


Cryptosporidium spp. is one of the most common zoonotic parasites in humans. In livestock, mainly cattle, it is often associated with profuse watery diarrhea, significant weight loss and mortality in adults and calves, which significantly affects the productivity of the dairy industry (Delafossea et al., 2015; Thompson et al., 2016). Studies conducted in various regions of the world have shown that the prevalence of Cryptosporidium spp. in dairy herds considerably varies (Degerli et al., 2005; Silverlas et al., 2012; Garro et al., 2016); however, its prevalence frequently exceeds 20 %, showing a ubiquitous and endemic distribution in dairy farms (Cai et al., 2017; Feng & Xiao, 2017). Cattle infection in farms is caused by the ingestion of Cryptosporidium oocysts, commonly excreted by unhealthy cattle, in amounts that can reach up to 4.15 x 107 oocysts per gram of feces (Fayer et al., 1998).

Once in the environment, Cryptosporidium spp. oocysts can contaminate water, food, fomites and surfaces; and they are able to survive in these environments for weeks or months, since hard outer shell of the oocysts protects them from adverse physical and chemical factors, which increases the likelihood of infection, compared to other microorganisms (Budu-Amoako et al., 2012; Swaffer et al., 2014; Sterk et al., 2016).

Cryptosporidium spp. is routinely detected by microscopic methods in fresh feces of infected cattle; however, in the last 25 years, molecular techniques such as Polymerase Chain Reaction (PCR), fragment sequencing and analysis, have been increasingly used to identify species and genotypes of Cryptosporidium, because microscopic techniques are often unable to distinguish a microorganism among various species, since it shares morphological characteristics and size with other microorganisms, causing false positive results (Thompson et al., 2016; Yap et al., 2016); in addition, its molecular characterization has helped to understand the dynamics of infection in dairy cattle and the eventual transmission to humans (Swaffer et al., 2014; Garro et al., 2016; Thompson & Ash, 2016). For example, C. parvum, C. bovis, C. ryanae and C. andersoni have been shown to commonly infect heifers and milking cows without clinical manifestations. C. parvum has also been recognized to be exclusively related to calves; while for cattle, C. bovis, C. ryanae are the dominant species; and C. andersoni commonly infects adult animals (Fayer et al., 2007; Karanis et al., 2010; Garro et al., 2016). However, C. parvum is the most widely distributed species in cattle of dairy herds, mainly when dairy farming is intensive (Xiao & Feng, 2008).

The Lagunar Region (LR), also known as the “lagoon region”, is a metropolitan area from northern Mexico that covers the cities of Torreón, Matamoros, Francisco I. Madero and San Pedro in the state of Coahuila and Gomez Palacio, Ciudad Lerdo, Mapimí and Tlahualilo in Durango (Figure 1). It is the main area of dairy cattle production in Mexico, consisting of more than 4 x 105 dairy cows and an annual milk production of 2,433 million liters, which each year contributes to about 21 % of the milk production throughout the country (Salazar-Sosa et al., 2007; Fortis-Hernández et al., 2009; SAGARPA, 2011). However, despite its economic importance, the evaluation of prevalence of Cryptosporidium spp. In this region remains a neglected task and little has been done to assess its prevalence in dairy cattle (Maldonado et al., 1998; Vazquez-Flores, 2000; Castillo-García et al., 2009). The present investigation presented an exploratory nature with a descriptive scope, and was aimed at determining the prevalence and distribution of Cryptosporidium spp. in adult cattle and freshly weaned calves of 39 dairy herds from the LR, as well as determining Cryptosporidium species that were present in the farms analyzed.

Figure 1 Geographic location of the Lagunar Region showing municipalities where the present study was conducted. Coahuila: Matamoros (1), Francisco I. Madero (2), and Torreon (3); Durango: Tlahualilo (4), Lerdo (5), and Gomez Palacio (6). 

Material and Methods

Description of the study area

The LR is located in the Chihuahuan Desert at 1110-1200 m above sea level, at the limit of Coahuila and Durango between 25° 34’ 18’’ and 26° 06´ 31´´ north latitude and 102° 45´ 08´´ and 104° 06’ 53´´ west longitude. It includes 15 municipalities, 10 in Durango and 5 in Coahuila (Figure 1). The annual rainfall varies from 100 to 200 mm, a potential evapotranspiration of 2,396 mm and an average temperature of 22.1 °C. From March to June, it has annual average seasonal winds of 6.5 km h-1. From April to May, dust storms may occur with gusts of wind up to 78 km h-1, the historical maximum reported for the area (Figueroa-Viramontes et al., 2015). The LR have the highest production of dairy cattle in Mexico, with more than 4 x 105 cattle heads, which in turn produces approximately 9.25 x 105 ton of dry-based manure per year (Salazar-Sosa et al., 2007; Fortis-Hernández et al., 2009). The latter is able to fertilize agricultural fields of the dairy industry for forage production and it is a common practice in the LR (Figueroa-Viramontes et al., 2015).

Samples collection

For the present study, 78 samples of cattle feces (39 from adult cattle and 39 from freshly weaned calves) were taken randomly in 39 dairy herds, where 33 of them have more than 600 cows in production. These samples were collected in the municipalities of Matamoros (3 herds), Francisco I. Madero (14 herds), Torreón (1 herd), Tlahualilo (2 herds), Lerdo (13 herds) and Gómez Palacio (6 herds) (Figure 1), between July 30th and August 2nd, 2012. The 39 dairy herds represented 10 % of the total of 380 herds established in the LR, according to data from SAGARPA (2011).

Approximately 40 g of feces were taken directly from animals’ rectum by using sterile 50 mL tubes. Samples were properly labeled and placed in coolers at 5-10 °C and then transported to the Parasitology Laboratory of the Faculty of Agriculture and Zootechnics of the Juárez University from the State of Durango for analysis in the first 24 hours after collection.

Isolation of Cryptosporidium oocysts from cattle feces

Oocysts were isolated by a modification of the sedimentation method with formalin-ether (Levine et al., 1988). Briefly, one gram of each stool sample was resuspended in 3.5 mL of sterile distilled water and filtered through a wet sterile gauze. Filtered sample was centrifuged at 1,100 xg for 5 minutes in triplicate and the supernatant was removed by decantation. Sediment was resuspended by adding 5 mL of 10 % formalin and after 5 minutes, 4 mL of ether was added to adjust the volume to 10 mL. The mixture was vortexed and centrifuged again at 1,100 xg for 5 minutes. The supernatant was decanted and samples were taken from the pellet to obtain two smears for microscopic observation; the rest of the pellet was stored at -20 °C for later molecular analysis. For microscopic oocysts detection, the collected smears were stained with the modified method of Ziehl-Neelsen (Henriksen & Pohlenz, 1981; Casemore et al., 1985) and observed with a bright field microscope under a 100 X objective lens. The identification of red and egg-shaped oocysts of approximately 4 to 6 μm in diamter was recorded as positive samples (Henriksen & Pohlenz, 1981).

Identification of Cryptosporidium spp. by PCR and sequencing

Previously obtained frozen pellets were thawed and fractions of 1 mL were subjected to several centrifugation steps at 800 xg for 5 min, and the pellet of each sample was resuspended in a final volume of 5 mL. For DNA extraction, the phenol-chloroform method was used with 2 % cetyl trimethylammonium bromide adapted from Doyle & Doyle (1987) with some modifications. Briefly, samples were put in a boiling water bath for 5 min and allowed to cool at room temperature. 1 mL of each sample was taken and centrifuged at 10,000 xg for 5 min, this step was repeated three times. The pellet was resuspended in 400 μL TE 1X buffer pH 8 and 50 μL lysozyme (10 mg/mL, Sigma, USA) were added, it was mixed and incubated at 37 °C for 1 h. 75 μL of 10% SDS (Sigma, USA) and 5 μL of proteinase K (10 mg/mL, Sigma, USA) were added. The mixture was agitated and incubated at 65 °C for 10 min in a dry bath. 100 μL of 5M NaCl were added. The mixture was agitated and 100 μL of a CTAB / NaCl; solution (2 % CTAB; 10Mm Tris-HCl pH 8; 20mm EDTA pH 8; 1.4M NaCl) preheated at 65 °C were added. The mixture was agitated and incubated at 65 °C for 10 min in a dry bath. The mixture was heated in boiling water for 5 min and 750 μL of chloroform/isoamyl alcohol (24:1) was added. The mixture was agitated and centrifuged at 13,000 xg for 15 min. The supernatant was recovered in a 1.5 mL tube and 0.6 vol of isopropanol were added and incubated at -20 °C for 30 min. It was centrifuged at 13,000 xg for 15 min and supernatant was discarded, 1 mL of cold ethanol was added and centrifuged at 13,000 xg for 10 min, the supernatant was carefully discarded and the excess ethanol was evaporated at room temperature for 20 min. Finally, the DNA obtained was re-suspended in 30 μL of 1X TE buffer and stored at -20 °C until its use. The integrity of the DNA obtained was analyzed by electrophoresis in a 8% agarose gel. PCR reactions were performed to amplify a 345 bp fragment of the Heat shock protein gene (Hsp 70) by using 25 to 50 pmol of each primer; sense 5´-TCCTCTGCCGTACAGGATCTCTTA-3´ and antisense 5´-TGCTGCTCTTACCAGTACTCTTATCA-3´ (Di Giovanni & Le Chevallier, 2005). 200 mM of a mixture of dNTPs (GIBCO-BRL), 2 mM MgCl2, PCR buffer 1 X (200 mM Tris-HCl pH 8.0 and 500 mM KCI), 1 U Taq-DNA polymerase enzyme were used, plus 200 ng DNA and sterile milliQ water to reach a final volume of 25 μL. In an endpoint-PCR thermal cycler, a cycle of denaturation was programmed at 95 °C for 10 min, followed by 30 cycles of denaturation at 95 °C for 30 seconds, primers alignment at 60 °C for 1 minute, extension at 72 °C for 30 seconds, and a final extension cycle of 10 minutes at 72 °C. The reaction was stabilized at 4 °C for further analysis by electrophoresis. PCR products were separated by electrophoresis in 1 % agarose gels for 1 hour at 100 V and then stained with GelRedTM (NucleicAcid®) and visualized in a UV transilluminator. 25 out of the PCR products of the positive samples were sent to Macrogen Co, in Seoul, Republic of Korea, for sequencing in a 3730XL DNA sequence analyzer (Thermo Fisher Scientific Inc). Finally, the nucleotide sequences of the Hsp70 gene amplified fragment were compared in the database of the National Center for Biotechnological Information (NCBI); and finally, with the Basic Local Alignment Search Tool (BLAST), 4 sequences were analyzed, which showed differences in the previous analysis to determine alignments and differences in their sequences.

Statistical analysis

The results obtained were analyzed by binomial proportions based on the two groups: preweaned calves (aged 2 weeks to 4 months) and adult cattle. Statistical package IBM SPSS® Statistics Inc. Version 20.0.1 (Chicago, Illinois) was used, with a 95% confidence level.

Results and Discussion

Fifty of the 78 samples analyzed by the modified method of Ziehl-Neelsen gave positive results for Cryptosporidium spp. oocysts, with a prevalence of 64 % for all cattle sampled. However, molecular analysis detected 56 positive samples of the 78 analyzed (Table 1), showing a prevalence of 71.79 % (34/39 [87.17 %] in weaned calves, and 22/39 [56.41 %] in adults). It is important to mention that 100 % of the analyzed farms showed presence of Cryptosporidium spp., in addition, all the samples considered as positive by microscopic analyses were confirmed by PCR and only 5 of the analyzed calves showed no infection by Cryptosporidium spp. oocysts.

Table 1 Prevalence of Cryptosporidium spp. in the analyzed samples for both groups of sampled bovines by Ziehl-Neelsen and PCR. 

Sampled groups Analyzed samples Positive results Cryptosporidium spp. by Zhiehl-Neelsen Positive results Cryptosporidium spp. by PCR Prevalence of Cryptosporidium spp. (PCR) (%)
Calves 39 20 22a 87.17
Milked Cows 39 30 34a 56.41
Total 78 50 56 71.79

aThere was no statistical significance in prevalence between milked cows and calves (p>0.05).

Identifying a prevalence of Cryptosporidium spp. in 71.79 % of cattle analyzed in the LR represents an alarming fact, since this rate is significantly higher than the one observed in previous studies conducted in Mexico, where it has been suggested that the prevalence of Cryptosporidium spp. in cattle can range from 22 % to 67 % (Maldonado et al., 1998; Vazquez-Flores, 2000; Castillo-García et al., 2009), with a higher infection level for calves, as presented in this study (Fayer et al., 1997, Castillo-García et al., 2009). It has been found that the prevalence of Cryptosporidium spp. in cattle is variable, and that this is closely linked to animals’ age, sanitary management in production farms, as well as the access to the sanitary services and water quality (Fayer, 2004; Zanaro and Garbossa, 2008 ; Pulido-Medellín et al., 2014). In other regions of the world, the prevalence of Cryptosporidium spp. in cattle has been reported from 30 % to more than 70 %; for example, a prevalence of 72.75 % has been reported in Spain (Lentze et al., 1999; Cardona et al., 2011; Silverlas et al., 2012); in Turkey, 31.4 % (Degerli et al., 2005); in Colombia, 53.3 % (Vergara & Quilez, 2004) and 48 % (Pulido-Medellín et al., 2014); and in Venezuela a prevalence of 43 % to 75 % has been reported (Valera et al., 2001). In other Latin American countries such as Brazil, the prevalence of Cryptosporidium spp. is low compared to Mexico. For example, Meireles et al. (2011), found that 10.7 % of cattle in cowsheds from São Paulo, Brazil contained the presence of Cryptosporidium spp. Paz e Silva et al. (2013), determined a prevalence of 14 % in cattle also in São Paulo, Brazil, in which calves showed a prevalence of 26 % and adults only in 2 %. Lombardelli et al. (2019), found a prevalence of 25.5 % of Cryptosporidium parvum in the central region of Argentina, determining a positive correlation among animals with diarrhea compared to those that did not present the symptom. For its part, Palacios-Ordóñez (2017), identified the prevalence of Cryptosporidium spp. in calves from 0 to 4 months and its relationship with the contamination of water bodies in San Fernando canton region, Azua province, Ecuador. In this investigation, it was determined that 93.3 % of the calves contained the presence of Cryptosporidium and in 92.2 % of the water samples the presence of the parasite was also found, in concentrations of 5 oocysts/100 mL. This research suggests that fattening animals can be considered responsible for the presence of the parasite in water bodies and for the incidence in children in the study area, who presented an incidence of 14.3 %.

In adult cattle, 17 of the 39 samples tested were negative. Studies conducted by Castro-Hermida et al. (2002); Fayer et al. (2007) and Castillo-García et al. (2009), suggest that age is not a risk factor for Cryptosporidium spp. infection, which was confirmed in the present study, where the statistical analysis did not show any significant differences (p>0.05) between age groups (Table 1). It is important to mention that the majority of negative results in the analyzed calves came from dairy farms with 2 to 10 cattle, where calves were raised with their mothers. Cacciò & Widmer (2014), suggested that the number of animals in the farm determines the incidence of Cryptosporidium infection, with a higher frequency in unhealthy animals present in large flocks, due to a high load of fecal pathogens. In the present study, most of the samples came from intensive dairy production systems, where frequently the number of animals exceeds 600, and in which it is common practice to separate the animals from their mothers a few hours after birth. Calves are held in wooden cages where they are with other animals of the same age to feed them with a bottle, commonly used to feed more than one animal, and where Good Management and Cleaning Practices are not generally applied, increasing the probability to transmit Cryptosporidium spp. and other microorganisms (Fayer & Xiao, 2008; Cacciò & Widmer, 2014). Studies conducted by Castro-Hermida et al., (2002), showed that Cryptosporidium parvum infection decreases when lactating animals were kept together with their mothers, in contrast to those in contact with animals of the same age.

For the molecular identification of Cryptosporidium spp. in the stool samples analyzed, PCR products of Hsp 70 gene were selected and sequenced from 25 samples that were positive and they were compared with data published in the GenBank of the National Center for Biotechnology Information (NCBI). This analysis showed 100 % identity with Cryptosporidium parvum. Only isolate 21 showed a 91 % similarity with Hsp 70 gene (Figure 2), which suggests that C. parvum may be responsible for the cryptosporidiosis of calves in the LR, which differs with other studies, where up to four Cryptosporidium species causing cryptosporidiosis in cattle have been identified (Amer et al., 2013; Ananta et al., 2014).

Figure 2 Sequence analysis of the Hsp 70 gene of four selected isolates (13, 14, 21, 24) obtained from the LR during the actual study. Dots show homology between isolated nucleotides and GenBank references. Sequence deletions and nucleotide substitutions are represented by hyphens and nitrogenous bases, respectively. 


In the present study, a general prevalence of 71.79 % of Cryptosporidium was determined in dairy herd animals of the Lagunar Region (LR), where freshly weaned calves showed the highest prevalence, with 87.17 %; while the adults evaluated had a prevalence of 56.41 %. Cryptosporidium parvum was the species that was present in 100 % of the 25 samples sequenced and compared in NCBI GenBank, so it can be considered as an endemic species in the LR. Results suggest that the age of cattle is not a factor that determines Cryptosporidium infection, since its prevalence in calves did not show significant differences compared to adults. The high prevalence of C. parvum in cattle of dairy herds represents a risk for the dairy industry in the LR, as well as public health if manure is applied as a fertilizer in agricultural fields. It is suggested to continue monitoring the presence of microorganisms of interest such as Cryptosporidium, which provide evidence for a better management of cattle in dairy herds in the LR, as well as to reduce milk-associated sanitary and public health risks.


Amer, S., Zidan, S., Adamu, H., Ye, J., Roellig, D. and Xiao, L. (2013). Prevalence and characterization of Cryptosporidium spp, in dairy cattle in Nile River delta provinces, Egypt. Experimental Parasitology, 135: 518-523. [ Links ]

Ananta, SM., Hidayat, A. and Matsubayashi, M. (2014). Survey on gastrointestinal parasites and detection of Cryptosporidium spp. on cattle in West Java, Indonesia. Asian Pacific Journal of Tropical Medicine, 7: 197-201. [ Links ]

Budu-Amoako, E., Greenwood, S.J., Dixon, B.R., Barkema, H.W. and McClure, J.T. (2012). Occurrence of Cryptosporidium and Giardia on beef farms and water sources within the vicinity of the farms on Prince Edward Island, Canada. Veterinary Parasitology, 184: 1-9. [ Links ]

Cai, M., Guo, Y., Pan, B., Li, N., Wang, X., Tang, C., Feng, Y. and Xiao, L. (2017). Longitudinal monitoring of Cryptosporidium species in pre-weaned dairy calves on five farms in Shanghai, China. Veterinary Parasitology, 241: 14-19. [ Links ]

Cacciò, S. M. & Widmer, L. (2014). Cryptosporidium: parasite and disease. (1st Ed.) Springer-Verlag, Wien. XI: 564. ]

Cardona, G.A., Carabin, H., Goñi, P., Arriola, L., Robinson, G., Fernández-Crespo, J.C., Clavel, A., Chalmers, R. M. and Carmena, D. (2011). Identification and molecular characterization of Cryptosporidium and Giardia in children and cattle populations from the province of Álava, North of Spain. The Science of the Total Environment, 413: 101-108. [ Links ]

Casemore, D.P., Armstrong, M. and Sands, R. (1985). Laboratory diagnosis of cryptosporidiosis. Journal of Clinical Pathology, 38: 1337-1341. [ Links ]

Castillo-García, C., Cruz-Vázquez, C., Lopez-Revilla, R., Sanchez-Garza, M., Rosario-Cruz, R., Vitela-Mendoza, I. and Medina Esparza, L. (2009). Frequency and identification of Cryptosporidium spp. in confined suckling dairy calves in Aguascalientes, Mexico. Técnica Pecuaria en México, 47: 425-434. [ Links ]

Castro-Hermida, J., González-Losada, Y.A. and Ares-Mazás, E. (2002). Prevalence of and risk factors involved in the spread of neonatal bovine cryptosporidiosis in Galicia (NW Spain). Veterinary Parasitology, 106: 1-10. [ Links ]

Degerli, S., Celiksoz, A., Kalkan, K. and Ozcelik, S. (2005). Prevalence of Cryptosporidium spp. and Giardia spp. in Cows and Calves in Sivas. Turkish Journal of Veterinary and Animal Sciences, 29: 995-999. ]

Di Giovanni, G.D. & LeChevellier, M.W. (2005). Quantitative-PCR assessment of Cryptosporidium parvum cell culture infection. Applied and Environmental Microbiology, 71: 1495-1500. [ Links ]

Doyle, J.J. & Doyle, J.L. (1987). A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochemical Bulletin, 19: 11-15. [ Links ]

Delafossea, A., Chartierb, C., Dupuya, M.C., Dumoulina, M., Porsc, I. and Paraud, C. (2015). Cryptosporidium parvum infection and associated risk factors in dairy calves in western France. Preventive Veterinary Medicine, 118: 406-412. [ Links ]

Fayer, R., Gasbarre, L., Pasquali, P., Canals, A., Almeria, S. and Zarlenga, D. (1998). Cryptosporidium parvum infection in bovine neonates: dynamic clinical, parasitic and immunologic patterns. International Journal for Parasitology, 28(1): 49-56. [ Links ]

Fayer, R. (2004). Cryptosporidium: a water-borne zoonotic parasite. Veterinary Parasitology, 126(1-2): 37-56. [ Links ]

Fayer, R., Santin, M. and Trout, J.M. (2007). Prevalence of Cryptosporidium species and genotypes in mature dairy cattle on farms in eastern United States compared with younger cattle from the same locations. Veterinary Parasitology, 145: 260-266. [ Links ]

Fayer, R. & Xiao, L. (2008). Cryptosporidium and cryptosporidiosis. 2nd edition, New York: CRC Press. 564. [ Links ]

Figueroa-Viramontes, U., Núñez-Hernández, G., Reta-Sánchez, D.G. and Flores-López, H.E. (2015). Regional nitrogen balance in the milk-forage production system in the Comarca Lagunera, México. Revista Mexicana de Ciencias Pecuarias, 6: 377-392. ]

Feng, Y. & Xiao, L. (2017). Molecular Epidemiology of Cryptosporidiosis in China. Frontiers in Microbiology, 8: 1701. [ Links ]

Fortis-Hernández, M., Leos-Rodríguez, J.A., Preciado-Rangel, P., Orona-Castillo, I., García-Salazar, J.A., García-Hernández, J.L. and Orozco-Vidal, J.A. (2009). Aplicación de abonos orgánicos en la producción de maíz forrajero con riego por goteo. Terra Latinoamericana, 27: 329-336. ]

Garro, C.J., Morici, G.E., Utgés, M.E., Tomazic, M.L. and Schnittger, L. (2016). Prevalence and risk factors for shedding of Cryptosporidium spp. oocysts in dairy calves of Buenos Aires Province, Argentina. Parasite Epidemiology and Control, 1: 36-41. [ Links ]

Henriksen, S.A. & Pohlenz, J. (1981). Staining of cryptosporidia by a modified Zihel-Neelsen technique. Acta Veterinaria Scandinavica, 22(3-4): 594-596. [ Links ]

Karanis, P., Eiji, T., Palomino, L., Boonrod, K., Plutzer, J. and Ongerth, J. (2010). First description of Cryptosporidium bovis in Japan and diagnosis and genotyping of Cryptosporidium spp . in diarrheic pre-weaned calves in Hokkaido. Veterinary Parasitology, 169: 387-90. [ Links ]

Lentze, T., Hofer, D., Gottstei, B., Gaillard, C. and Busato, A. (1999). Prevalence and importance of endoparasites in calves raised in Swiss cow-calf farms. Deutsche Tierarztliche Wochschrift, 106(7): 275-281. ]

Levine, J.F., Levy, M.G., Walker, R.L. and Crittenden, S. (1988). Cryptosporidiosis in veterinary students. Journal of the American Veterinary Medical Association, 193(11): 1413-1414. ]

Lombardelli, J.A., Tomazic, M.L., Schnittger, L. and Tiranti, K.I. (2019). Prevalence of Cryptosporidium parvum in dairy calves and GP60 subtyping of diarrheic calves in central Argentina. Research Parasitology 118(7): 2079-2086. [ Links ]

Maldonado, C.S., Atwill, E.R., Saltijeral, O.J.A. and Herrera, A.L.C. (1998). Prevalence and risk factors for shedding of Cryptosporidium parvum in Holstein Freisian dairy calves in central Mexico. Preventive Veterinary Medicine, 36(2): 95-107. [ Links ]

Meireles, M.V., de Oliveira, F.P., Teixeira, W.F.P., Coelho, W.M.D. and Mendes, L.C.N. (2011). Molecular characterization of Cryptosporidium spp. in dairy calves from the state of São Paulo, Brazil. Parasitology Research 109(3): 949-951. [ Links ]

Palacios-Ordóñez, T.E. (2017). Prevalencia de Cryptosporidium spp. y Giardia spp. en terneros,y su presencia en agua y en niños con problemas digestivos en el cantón San Fernando, Ecuador. MASKANA. 8(1): 111-119. [ Links ]

Paz e Silva, F.M., Souza-Lopes, R. and Araújo-Junior, J.P. (2013). Identification of Cryptosporidium species and genotypes in dairy cattle in Brazil. Revista Brasileira de Parasitologia Veterinária. 22(1): 22-28. [ Links ]

Pulido-Medellín, M.O., Andrade-Becerra, R.J., Rodríguez-Vivas, R.I. and García-Corredor, D.J. (2014). Prevalence and posible risk factors for Crptosporidium spp. oocyst excretion in dairy cattle in Boyacá, Colombia. Revista Mexicana de Ciencias Pecuarias, 5(3): 357-364. ]

SAGARPA (Secretaría de Agricultura, Ganadaría, Desarrollo Rural, Pesca y Alimentación). (2011). Suplemento de Economía, Comarca Lagunera. Publicación Anual. Secretaría de Agricultura, Ganadería, Desarrollo Rural, Pesca y Alimentación. Delegación en la Región Lagunera. Subdelegación de Ganadería. Lerdo, México. 25-30 pp. [ Links ]

Salazar-Sosa, E., Trejo-Escareño, H.I., Vázquez-Vázquez, C. and López-Martínez, J.D. (2007). Producción de maíz bajo riego por cintilla, con aplicación de estiércol bovino. International Journal of Experimental Botany (ɸYTON), 76: 169-185. ]

Silverlas, C., Mattsson, J., Insulander, M. and Lebbad, M. (2012). Zoonotic transmission of Cryptosporidium meleagridis on an organic Swedish farm. International Journal for Parasitology, 42(11): 963-967. [ Links ]

Sterk, A., Schijven, J., De Roda-Husman, A.M. and De Nijs, T. (2016). Effect of climate change on runoff of Campylobacter and Cryptosporidium from land to surface water. Water Research, 95: 90-102. [ Links ]

Swaffer, B.A., Vial, H.M., King, B.J., Daly, R., Frizenschaf, J. and Monis, P.T. (2014). Investigating source water Cryptosporidium concentration, species and infectivity rates during rainfall-runoff in a multi-use catchment. Water Research, 67: 310-320. [ Links ]

Thompson, R.C.A., Koh, W.H. and Clode, P.L. (2016). Cryptosporidium - What is it? Food and Waterborne Parasitology, 4: 54-61. [ Links ]

Thompson, R.C.A. & Ash, A. (2016). Molecular epidemiology of Giardia and Cryptosporidium infections. Infection Genetics and Evolution, 40: 315-23. [ Links ]

Valera, Z., Quintero, W., Villarroel, R. and Hernández, E. (2001). Cryptosporidium spp. en una finca del municipio Rosario del Perijá, Estado Zulia, Venezuela. Revista Científica Facultad de Ciencias Veterinarias-LUZ, 11(3): 213-218. ]

Vázquez-Flores, S. 2000. Criptosporidiosis en bovinos. En: Temas Selectos de Parasitología. Ibarra, VF, Quiroz, RH, editores México, DF., 2: 1-18. [ Links ]

Vergara, C. & Quílez, J. (2004). Criptosporidiosis: una zoonosis parasitaria. MVZ-Córdoba, 9(1): 363-372. [ Links ]

Xiao, L. & Feng, Y. (2008). Zoonotic cryptosporidiosis. FEMS Immunology and Medicals Microbiology, 52(3): 309-323. [ Links ]

Yap, N.J., Koehler, A.V., Ebner, J., Tan, T.K., Lim, Y.A.L. and Gasser, R.B. (2016). Molecular analysis of Cryptosporidium from cattle from five states of Peninsular Malaysia. Molecular and Cellular Probes, 30(1): 39-43. [ Links ]

Zanaro, N.L. & Garbossa, G. (2008). Cryptosporidium: cien años después. Acta Bioquímica Clínica Latinoamericana, 42: h195-201. ]

Cite this paper: López Torres, L. L., López Cuevas, O., Vázquez Vázquez, C., Alvarado Gómez, O. G., Vázquez Alvarado, R. E., Rodríguez Fuentes, H., Chaidez Quiroz, C., Vidales Contreras, J. A. (2020). Prevalence of Cryptosporidium spp. in dairy livestock from the laguna region, Mexico Revista Bio Ciencias 7, e881. doi:

Received: December 02, 2019; Accepted: February 25, 2020

*Corresponding Author: Juan Antonio Vidales Contreras. Facultad de Agronomía, Universidad Autónoma de Nuevo León. Francisco Villa s/n. Col. Ex-hacienda “El Canadá”. Escobedo, Nuevo León, México. C.P. 66050. Phone: +52(811) 340 4399. E-mail:

Creative Commons License This is an open-access article distributed under the terms of the Creative Commons Attribution License