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Article

Frequency and Molecular Identification of Cryptosporidium in Adult Prim’Holstein Dairy Cattle Farms in the North of France

1
Centre National de la Rrecherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (Inserm), Centre Hospitalier Universitaire de Lille, Institut Pasteur de Lille, U1019-UMR 9017-CIIL-Centre d’Infection et d’Immunité de Lille, University of Lille, F-59000 Lille, France
2
Délégation à la Recherche Clinique et à l’Innovation, Groupement des Hôpitaux de l’Institut Catholique de Lille, F-59000 Lille, France
3
GD Biotech-Gènes Diffusion, F-59000 Lille, France
4
PEGASE-Biosciences (Plateforme d’Expertises Génomiques Appliquées aux Sciences Expérimentales), Institut Pasteur de Lille, F-59000 Lille, France
*
Author to whom correspondence should be addressed.
Microorganisms 2024, 12(2), 335; https://doi.org/10.3390/microorganisms12020335
Submission received: 29 December 2023 / Revised: 25 January 2024 / Accepted: 1 February 2024 / Published: 5 February 2024
(This article belongs to the Section Parasitology)

Abstract

:
Cryptosporidium apicomplexan protozoa are ubiquitous intracellular agents affecting humans and animals. In particular, bovine cryptosporidiosis is recognized as endemic worldwide. However, epidemiological investigations remain limited in France regarding the burden of these parasites in cattle. To improve our understanding of the epidemiology of cryptosporidiosis, the main aim of this study was to determine the frequency and the genetic diversity of Cryptosporidium in adult Prim’Holstein dairy cattle farms in the north of France. Fecal specimens were collected from 1454 non-diarrheic and non-pregnant animals (nulli-, primi-, or multiparous) throughout 20 farms in an area of 110 km around Lille. For Cryptosporidium species identification, nested PCR followed by sequence and phylogenetic analyses were used. The overall frequency of Cryptosporidium spp. in-fection was 30.00% (C.I. 95%: 12.83–54.33) in farms and 0.89% (C.I. 95%: 0.498–1.57) at the individual level. In primi- or multiparous cows, only C. andersoni was found. C. ryanae, C. bovis/xiaoi and C. andersoni were detected in heifers. The phylogenetic tree confirmed that analyzed sequences were grouped with known reference sequences reported in dairy cattle. Further studies on the cumulative prevalence, risks factors and pathogenicity are needed to give a more accurate assessment of the impact of Cryptosporidium infection in dairy cattle in France.

1. Introduction

Cryptosporidium are worldwide intestinal opportunistic protozoan parasites that infect humans as well as a broad spectrum of domestic and wild hosts including ruminants, carnivores, and primates to whom they can cause severe diarrhea [1]. Cryptosporidiosis has been reported in many important livestock species, including cattle, buffaloes, pigs, goats, sheep, horses, camels, donkeys, chickens, and ducks [2]. Cryptosporidium parasites have low infective doses as shown in human volunteers [3] and animal models [4], and oocysts are very resistant to environmental and water treatment [1]. Until now, 44 Cryptosporidium species and more than 120 genotypes have been recognized [5]. The predominant Cryptosporidium species infecting humans are C. parvum and C. hominis, while C. bovis, C. ryanae, and C. andersoni, together with C. parvum, are the causal agents of bovine Cryptosporidium infection, even if additional species have also been reported in sporadic cases, such as C. felis, C. hominis, C. suis, C. canis, C. scrofarum, C. tyzzeri or C. serpentis [6]. C. parvum has the ability to infect multiple animal hosts, and it is the primary zoonotic cause of cryptosporidiosis [7]. Strikingly, almost 100% of dairy cattle worldwide are infected with C. parvum at some point during their lives [5].
The transmission of Cryptosporidium from cattle to humans can occur through several routes: the contact with infected animals or carcasses, the consumption of contaminated food derived from beef or dairy cattle and the consumption of crops irrigated with water contaminated with cattle manure [8]. Transmission in animals is mainly caused by the ingestion of oocysts excreted by infected animals, especially newborns in overcrowded facilities [6]. Livestock manure is an important source of infection to both animals and humans, and it has been estimated that the global Cryptosporidium load in cattle manure is approximately 3.2 × 1023 oocysts per year [6].
The prevalence of Cryptosporidium spp. in cattle is age-related. Hence, C. parvum is responsible for most infections in pre-weaned calves, while C. bovis and C. ryanae are the most frequently detected species in post-weaned calves, and C. andersoni seems to predominate in heifers and mature cows [9,10,11,12], even if some reports are controversial about this aspect [13]. Cryptosporidium infections in neonatal calves are responsible for economic losses mostly associated with the cost of managing the morbidity and mortality of animals. Dehydration, weight loss, retarded growth, and decreased feed efficiency represent some of the severe consequences of cryptosporidiosis in livestock [14]. Currently, no treatment is available against the infection, since most of the tested drugs exhibit only partial prophylactic and therapeutic efficacy in reducing oocyst excretion and disease severity in affected animals [6]. Furthermore, oocysts of Cryptosporidium spp. are highly stable in the environment and resistant to almost all conventional disinfection methods and water treatments, making cryptosporidiosis difficult to control [6].
Bovine cryptosporidiosis is recognized as endemic worldwide, even though the prevalence of the parasite varies considerably between geographical areas, animal age, and surveys [6]. In France, the knowledge about the molecular epidemiology of Cryptosporidium in cattle remains still limited, and only few publications are available, which are mainly focused on calves. Therefore, the aim of the present study was to provide an update in the molecular epidemiology of Cryptosporidium concerning Prim’Holstein, nulli, primi- and multiparous dairy cattle farms in the north of France, being Prim’Holstein the leading French dairy cow, accounting for 66% of livestock. In addition, Hauts-de-France is one of the major French dairy regions, producing 10% of the milk of the country. Overall, 5500 milk producers (i.e., one in five farmers) rank the Hauts-de-France as the fifth French milk producer. Dairy cows in the region includes 300,000 animals, representing 8.4% of the national herd. The average size of a cattle herd is 124 cattle. The herd is relatively concentrated. Nearly 46% of farms own just 16% of the cows, while 54% of farms own 84% of cows [15].

2. Materials and Methods

2.1. Farm Recruitment

Cattle breeders of the north of France region were contacted directly by researchers and invited to a seminar in order to explain to them the research project and the study procedure as well as request participation in the study. Farmers were eligible for inclusion in the study when the following requirements were satisfied: breeding of cows 100% Prim’Holstein and a minimum of 50 cows in milk production (French average: 56 cows/herd). The farm managers meeting the study criteria who agreed to participate on a voluntary basis and give their written consent were selected for the sampling. All the farms included in the study were commercial ones using the mixed crop–livestock farming system, which combines the cultivation of crops with the rearing of livestock on the same farm and is intended for high-quality safe raw milk production for human consumption. These farms followed strict veterinary periodic controls according to EU hygiene legislation (Regulation 853/2004). Veterinary check outs include controls of the good general state of health of animals, absence of infectious diseases communicable to humans through milk, absence of udder wound likely to affect the milk, control of somatic cells, etc.

2.2. Cows Selection

Animal were selected according to the following criteria: adult, Prim’Holstein dairy cattle, nulli-, primi-, or multiparous, asymptomatic and in good general state of health, absence of infectious diseases, without antibiotics treatment for at least 2 months before sampling, non-pregnant or calving at least one month ago. All animals under the study were managed on a semi-extensive system (on pasture for variable periods of their feeding and grazing seasons but indoors during the cold/wet season).

2.3. Sampling

Overall, 20 farms in an area of 110 km around the city of Lille in the north of France accepted to participate in the study. The average herd size in these farms during the time frame of the study was 194 (SD, 86) cows (range: 70–409). Animal reproduction technicians from the Gènes Diffusion company (Douai, France) collected a total of 1916 stool samples from 1454 cows from September 2017 to December 2018. To facilitate the collection of a 50 g fecal sample, cows were rectally finger stimulated with sterile-gloved hands. Fecal samples were immediately frozen at −20 °C (or stored at 4 °C for 1 to 2 h before freezing).

2.4. Molecular Detection of Cryptosporidium

The NucleoSpin 96 Soil Kit or NucleoSpin Soil Mini Kit (Macherey-Nagel GmbH & Co. KG, Düren, Germany) were used for the DNA extraction from approximately 200 mg of fecal samples according to the manufacturer’s recommendations. DNA was stored at −20 °C until use. The nested PCR targeting the 18S rRNA gene was performed as previously described [16] with slight modifications (the analytical sensitivity of this technique in our laboratory for the detection of Cryptosporidium DNA from 5 µL of serial 10-fold 18S rRNA plasmids diluted in a final volume of 50 µL is of 10 copies, which is equivalent to at least 1 oocyst). The external primers used were 5′-TTCTAGAGCTAATACATGCG-3′ (forward) and 5′-CCCATTTCCTTCGAAACAGGA-3′ (reverse). The internal primers used were 5′-GGAAGGGTTGTATTTATTAGATAAAG-3′ (forward) and 5′-AAGGAGTAAGGAACAACCTCCA-3′ (reverse). The first PCR mixture was prepared in a final volume of 50 μL as follows: 10 μL of DNA, 1x HotStarTaq Plus buffer, 2 mM MgCl2, 0.4 μM for each primer, 0.4 μM dNTP each and 1.5 U HotStarTaq Plus DNA polymerase (Qiagen Inc.,Hilden, Germany). The conditions for the PCR were as follows: 94 °C for 5 min, followed by 40 cycles of 94 °C for 45 s, 65 °C for 45 s, and 72 °C for 1 min. The post-extension was completed at 72 °C for 5 min. The second PCR mixture was prepared in a final volume of 50 μL as follows: 2 μL of the primary PCR product, 1x HotStarTaq Plus buffer, 1.5 mM MgCl2, 0.4 μM for each primer, 200 μM dNTP each and 1.5 U HotStarTaq Plus DNA polymerase. The nested PCR conditions were the same as those in the first round. Nested PCR reactions were performed in a PTC 200 thermocycler (MJ Research, Waltham, MA, USA).

2.5. DNA Sequencing and Analysis

After purification of the positive PCR products, the amplicons were sequenced on both strands (Sanger technology) using the forward and reverse primers of the nested PCR by the company Genoscreen (Pasteur Institute of Lille, Lille, France). MUSCLE in SeaView v4.6 was used for alignment of the sequences [17]. Comparisons with similar sequences of Cryptosporidium available on the NCBI server (http://www.ncbi.nlm.nih.gov/BLAST/, accessed on August 2023) using the basic local alignment search tool (BLAST) program were performed. To consider the sequences analyzed in this study as the same Cryptosporidium species when compared to references, the identity value should be in the range of 98–100% sequence similarity. All of the nucleotide sequences identified in this study were deposited in GenBank under the accession numbers OR610758 to OR610770.

2.6. Phylogenetic Analysis

The SSU rRNA gene sequences (785 bp) obtained in the present study from Cryptosporidium spp. isolates were added and aligned to a dataset including reference sequences from C. andersoni, C. baileyi, C. bovis, C. meleagridis, C. occultus, C. parvum, C. ryanae, C. scrofarum, C. suis and C. xiaoi downloaded from the GenBank database. Phylogenetic tree reconstruction was performed using the MEGA X software v. 10.2.6 [18], where the best substitution model was selected using the Bayesian information criterion. Phylogenetic trees were constructed with 1000 replicates, calculating bootstrap values through the maximum likelihood (ML) method and the Tamura 3-parameter model [19]. Neighbor-joining (NJ) and UPGMA trees were also constructed using the MEGA X software program.

2.7. Statistical Analysis

The prop.test function in R (version 4.1.1) was utilized to perform a proportion test, allowing the determination of 95% confidence intervals (C.I. 95%) around observed proportions, thereby providing a comprehensive statistical evaluation of the frequency of Cryptosporidium.

2.8. Ethical Issues

No approval from the Institutional Animal Care and Use Committee or ethics committee was required for this study. Animals in recruited farms were raised following French guidelines for animal care and use. Samples were collected by trained technicians from Gènes Diffusion, holders of the CAFTI (Certificat d’Aptitude aux Fonctions de Technicien d’Insémination-Certificate of Fitness for Insemination Technician Functions), and authorized for biological sampling according to animal welfare. The farmers participating to the study signed an agreement consenting access to animals’ samples for research purposes.

3. Results

A total of 1454 animals with a median age of 1025 days (range: 200–4444 days) from 20 farms located in northern France were screened in this survey. Molecular analysis of DNA extracted from animals stools, followed by nested PCR and sequencing, allowed the identification of Cryptosporidium spp. in 6 out of 20 (30.00%, C.I. 95%: 12.83–54.33) farms with a frequency ranging between 0 and 3.2% across these farms. The highest number of positive cattle was observed in farm “F12” with 5 samples corresponding to four cows testing positive for Cryptosporidium (one cow positive twice). Individually, 13 (0.89%, C.I. 95%: 0.498–1.57) out of 1454 animals were detected as positive (Table 1).
Positive animals ranged in age from 11 to 88 months. Among them, eight were heifers (11 to 33 months of age), four were primi- or multiparous cows (28 to 88 months of age) and one was a heifer at the moment of the first sampling and a cow at the moment of the second sampling (Table 2). In addition, 9 positive samples out of 14 (64%) were collected in the period fall/winter, while the 5 other positive samples (36%) were collected in the period spring/summer. Meanwhile, 5 positive samples out of 14 were collected in the periparturient period of cows (between 1 and 9 weeks after delivery) (Table 2).
Sequence and phylogenetic analyses at the 18S rRNA gene locus identified 3 Cryptosporidium species among the 14 nested PCR positive samples: C. andersoni (n = 12), C. ryanae (n = 1) and C. bovis/xiaoi (n = 1) (Figure 1 and Table 1 and Table 2). Most C. andersoni sequences were 100% homologous to MK982465, while three C. andersoni sequences (i.e., F19-G07, F12-A10 and F12-D05) were identical to MK841325. These three sequences could only be distinguished from the other nine by the deletion of a “T” at position 417 of the sequence. All the C. andersoni sequences obtained in this study were deposited in GenBank under the accession numbers OR610758–OR610759 and OR610761–OR610770. One sample (F15-A12) was identified as C. ryanae and showed 100% identity with the MF671873 sequence (found in bovine stools in China). This sequence differed by 1 bp (T-for-G substitution at position 677) from MF671875 (sequence deposited by the same authors at the same time and also found in bovine stools in China). The C. ryanae sequence found in our study has been deposited in GenBank under accession number OR610760. The complete sequence of the nested PCR product could not be obtained for the last sample F20-B09. However, the reverse sequence of this sample showed 100% identity with the sequence of C. bovis MFO74602, while the forward sequence showed 100% identity with the sequences of C. bovis MFO74602 and C. xiaoi FJ896046.
No farm was found positive for both C. andersoni and C. ryanae (Table 1 and Table 2). However, both C. andersoni sequences having as little 1 bp difference over the nested-PCR amplicon (identical to Genbank accession numbers MK841325 or MK982465) were found on the same farm. Thus, on farm F12, the sequence identical to Genbank accession number MK841325 was found in two cows, and the sequence identical to Genbank accession number MK982465 was found in the other three cows. The two positive cows from farm F19 each carried an isolate identical to MK841325 or MK982465. Finally, the MK982465 sequence was the only one found in the four positive cows from farm F17.
To note, the same C. andersoni sequence (MK982465) was found in both samples F12-D12 and F12-A04, which came from the same animal at two different times.
In Prim’Holstein cows, only C. andersoni was found. C. ryanae, C. bovis/xiaoi and C. andersoni were detected in heifers. The C. bovis/xiaoi and C. ryanae positive heifers were 11 and 19 months old, respectively.

4. Discussion

Overall, Cryptosporidium frequency on screened farms in the current study was 30%. This frequency is similar to that found in a Canadian national survey among post-weaned calves and adult dairy cattle [20]. Interestingly, Cryptosporidium prevalence in cattle seems to be higher in industrialized countries when compared to non-industrialized ones due to the animal production intensity, which is more developed in the first ones [20,21]. At the individual level, the observed frequency of Cryptosporidium spp. in cattle was 0.89% (13/1454). Even if this frequency seems low, previous reports on the prevalence of the parasite in adult cattle have indicated that infection rates range from 0 to 71%, although most reported prevalence reached less than 7% [22].
The low infection rate is probably explained among other factors by the animal age. Indeed, several studies about bovine Cryptosporidium infection have reported a host age related susceptibility being the infection more frequent in pre-weaned calves (<8 weeks) [11,23,24]. Animals included in this survey were adults with an average age of 1025 days. Comparable reports in Europe have described a prevalence of less than 10% in healthy adult cows in Spain, Belgium, the Netherlands or France with infection rates of 10%, 6%, 2% and 4%, respectively [13,25]. The decrease in prevalence of Cryptosporidium infection in dairy cattle related to age is likely due to the development of immunity from previous exposure/infection [19]. In addition, a low intensity of oocyst excretion without clinical manifestations has been described in both adult beef and dairy cattle [26].
Concerning the species identified in the current study, all of them have been reported in cattle worldwide [5] and in particular in France (Table 3). According to the phylogenetic tree, the sequences obtained in this study were grouped with known reference sequences already reported in dairy cattle. No new sequences were found. In addition, an age-related pattern of species distribution in bovine cryptosporidiosis has also been described in which C. parvum is the species most frequently found in calves, causing most of the Cryptosporidium infections in less than 5-week-old calves. Then, when animals are older, they can be infected successively with C. ryanae, C. bovis and C. andersoni, as it has been reported in France (Table 3) and also in other countries such as Brazil, China and India [23,24,27,28]. Consistently, in the current survey, a Cryptosporidium spp. age-related trend with an increase in the occurrence of C. andersoni and C. ryanae and an absence of C. parvum infection according to the increasing age of animals was observed (Table 3).
However, this disagrees with recent findings reporting C. parvum among the dominant species infecting cows in the Netherlands and Belgium [13]. In France, variations in the distribution of Cryptosporidium species in different studies are shown in Table 3. In a previous survey in the Hauts-de-France, it was reported that the most predominant species (42.8%) in adult dairy cattle was C. bovis [13], while in a follow-up performed in the same area by the same group, C. andersoni was the most prevalent species (57.14%) followed by C. bovis (28.57%) [31]. Different factors may explain this difference in prevalence and species distribution in the same country such as sampling size, type of breed, farm management practices (intensive, semi-intensive or extensive), farm location (urban/rural) or feeding system among others [5,32].
In the current work, most of the Cryptosporidium infection cases were detected in the winter/fall period, suggesting a trend between the occurrence of Cryptosporidium infection and seasons. Variations between seasons might be attributed to particular climatic situations more frequent in winter including heavy rains, snow melting and floods, which can cause sewage overflow and increase agricultural runoff, favoring the survival and dissemination of oocysts [33]. However, due to the semi-intensive system applied by the participating farms, animals are placed indoors and in cohousing during the autumn and winter seasons. Probably, this practice could facilitate promiscuity and inter-animal contamination. On the other hand, a low prevalence of Cryptosporidium has already been reported in cattle under extensive management systems, which may be due to lower exposure to infection. In fact, in extensive systems, oocysts are dispersed on a large surface and have a reduce viability due to direct sunlight exposure [34]. Further studies have to be conducted to confirm this observation. It was also observed in the current study that 35% of Cryptosporidium-positive cows were in the periparturient period and they were all infected by C. andersoni. The periparturient rise in C. andersoni has already been documented prior to this study [35].

5. Limitations of the Study

One of the main limitations of this kind of study relates to the methods used for detection of the infection. Indeed, a lower prevalence of Cryptosporidium in cows could be explained by technical problems concerning detection. Although molecular methods are more sensitive than standard microscopic observation for the detection of Cryptosporidium, they may not be enough when processing voluminous fecal samples from adult cows, thereby diluting protozoan oocysts [22]. Accordingly, a method of Cryptosporidium detection adapted to adult cattle samples was developed by performing concentration and flotation before molecular screening, showing in this way an increase in Cryptosporidium detection [22]. Additionally, only single stool sample tests were performed for the majority of animals; therefore, the prevalence was probably underestimated. Consequently, more sensitive methods appropriate to adult cattle fecal processing as well as the use of internal controls to identify the presence of PCR inhibitors would be required. Moreover, the study attempted to show the association of Cryptosporidium infection with age and seasonality. However, it was based on limited number of positive cases.

6. Conclusions

In conclusion, this study had the largest sampling ever carried out for the study of Cryptosporidium of cattle, providing data on the infection rate of the parasite in adult dairy cattle in France. Interestingly, results showed that even if participating farms have strict measures of hygiene control and strict veterinary periodic visits, the parasite circulates confirming that this infection is difficult to control due to environmentally stable oocysts resistant to many disinfectants, low infective dose, absence of vaccines and limited treatment options [36].
The absence of C. parvum infection, the major zoonotic species, suggests that adult dairy cattle represent a low risk source of infection for humans even if some of the Cryptosporidium spp. detected in cattle such as C. andersoni or C. bovis have been reported infecting humans too [20]. Although infections with the latter two Cryptosporidium species are generally asymptomatic in cattle, it has been reported that chronic C. andersoni infections in these animals may result in gastritis associated with reduced milk production and poor weight gain, with potential clinical and economic impact [37], and it may also contribute to environmental contamination [20]. Further studies on cumulative prevalence, risks factors and pathogenicity are required to give a more accurate assessment of the impact of Cryptosporidium infection in dairy cattle in France.

Author Contributions

G.C., C.A. and M.C. conceived and designed the study. N.G., S.M. (Sophie Merlin), S.M. (Sophie Martel) and G.E. performed the experiments. G.C. and M.C. analyzed the data and drafted the manuscript. G.C., E.V., C.A. and M.C. critically revised the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the STIMulE (Soutien aux Travaux Interdisciplinaires, Multiétablissements et Exploratoires) program AGRIMARK STIR-000030 (2020-01182) funded by the Région Hauts-de-France. This study was also supported by the Centre National de la Recherche Scientifique, the Institut National de la Santé et de la Recherche Médicale, the Institut Pasteur de Lille, the University of Lille and the CHRU of Lille.

Institutional Review Board Statement

Ethical review and approval were waived for this study, as all samples were obtained by duly authorized technicians and no invasive sampling approach was performed.

Data Availability Statement

The sequences obtained in the study were deposited in GenBank under the accession numbers (OR610758–OR610770).

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Ryan, U.; Fayer, R.; Xiao, L. Cryptosporidium species in humans and animals: Current understanding and research needs. Parasitology 2014, 141, 1667–1685. [Google Scholar] [CrossRef]
  2. Vermeulen, L.C.; Benders, J.; Medema, G.; Hofstra, N. Global Cryptosporidium loads from livestock manure. Environ. Sci. Technol. 2017, 51, 8663–8671. [Google Scholar] [CrossRef]
  3. Chappell, C.L.; Okhuysen, P.C.; Sterling, C.R.; DuPont, H.L. Cryptosporidium parvum: Intensity of infection and oocyst excretion patterns in healthy volunteers. J. Infect. Dis. 1996, 173, 232–236. [Google Scholar] [CrossRef]
  4. Benamrouz, S.; Guyot, K.; Gazzola, S.; Mouray, A.; Chassat, T.; Delaire, B.; Chabé, M.; Gosset, P.; Viscogliosi, E.; Dei-Cas, E.; et al. Cryptosporidium parvum infection in SCID mice infected with only one oocyst: qPCR assessment of parasite replication in tissues and development of digestive cancer. PLoS ONE 2012, 7, e51232. [Google Scholar] [CrossRef]
  5. Chen, Y.; Huang, J.; Qin, H.; Wang, L.; Li, J.; Zhang, L. Cryptosporidium parvum and gp60 genotype prevalence in dairy calves worldwide: A systematic review and meta-analysis. Acta Trop. 2023, 240, 106843. [Google Scholar] [CrossRef]
  6. Khan, S.M.; Witola, W.H. Past, current, and potential treatments for cryptosporidiosis in humans and farm animals: A comprehensive review. Front. Cell. Infect. Microbiol. 2023, 24, 1115522. [Google Scholar] [CrossRef]
  7. Feng, Y.; Ryan, U.M.; Xiao, L. Genetic diversity and population structure of Cryptosporidium. Trends Parasitol. 2018, 34, 997–1011. [Google Scholar] [CrossRef]
  8. Koyun, O.Y.; Balta, I.; Corcionivoschi, N.; Callaway, T.R. Disease occurrence in- and the transferal of zoonotic agents by North American feedlot cattle. Foods 2023, 12, 904. [Google Scholar] [CrossRef] [PubMed]
  9. De Pena, H.F.J.; Kasai, N.; Gennari, S.M. Cryptosporidium muris in dairy cattle in Brazil. Vet. Parasitol. 1997, 73, 353–355. [Google Scholar] [CrossRef] [PubMed]
  10. Kváč, M.; Vitovec, J. Prevalence and pathogenicity of Cryptosporidium andersoni in one herd of beef cattle. J. Vet. Med. 2003, 50, 451–457. [Google Scholar] [CrossRef] [PubMed]
  11. Santín, M.; Trout, J.M.; Xiao, L.; Zhou, L.; Greiner, E.; Fayer, R. Prevalence and age-related variation of Cryptosporidium species and genotypes in dairy calves. Vet. Parasitol. 2004, 122, 103–117. [Google Scholar] [CrossRef]
  12. Wade, S.E.; Mohammed, H.O.; Schaaf, S.L. Prevalence of Giardia sp., Cryptosporidium parvum and Cryptosporidium muris (C. andersoni) in 109 dairy herds in five counties of southeastern New York. Vet. Parasitol. 2000, 93, 1–11. [Google Scholar] [CrossRef]
  13. Pinto, P.; Ribeiro, C.A.; Hoque, S.; Hammouma, O.; Leruste, H.; Détriché, S.; Canniere, E.; Daandels, Y.; Dellevoet, M.; Roemen, J.; et al. Cross-border investigations on the prevalence and transmission dynamics of Cryptosporidium species in dairy cattle farms in western mainland Europe. Microorganisms 2021, 9, 2394. [Google Scholar] [CrossRef]
  14. Shaw, H.J.; Innes, E.A.; Morrison, L.J.; Katzer, F.; Wells, B. Long-term production effects of clinical cryptosporidiosis in neonatal calves. Int. J. Parasitol. 2020, 50, 371–376. [Google Scholar] [CrossRef]
  15. En Hauts-de-France, un Élevage Bovin Avant Tout Laitier. Available online: https://www.action-agricole-picarde.com/en-hauts-de-france-un-elevage-bovin-avant-tout-laitier (accessed on 11 January 2024).
  16. Xiao, L.; Morgan, U.M.; Limor, J.; Escalante, A.; Arrowood, M.; Shulaw, W.; Thompson, R.C.; Fayer, R.; Lal, A.A. Genetic diversity within Cryptosporidium parvum and related Cryptosporidium species. Appl. Environ. Microbiol. 1999, 65, 3386–3391. [Google Scholar] [CrossRef]
  17. Galtier, N.; Gouy, M.; Gautier, C. SEAVIEW AND PHYLO_WIN: Two graphic tools for sequence alignment and molecular phylogeny. Bioinformatics 1996, 12, 543–548. [Google Scholar] [CrossRef] [PubMed]
  18. Kumar, S.; Stecher, G.; Tamura, K. MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets. Mol. Biol. Evol. 2016, 33, 1870–1874. [Google Scholar] [CrossRef] [PubMed]
  19. Tamura, K. Estimation of the number of nucleotide substitutions when there are strong transition-transversion and G+C-content biases. Mol. Biol. Evol. 1992, 9, 678–687. [Google Scholar]
  20. Guy, R.A.; Yanta, C.A.; Bauman, C.A. Molecular identification of Cryptosporidium species in Canadian post-weaned calves and adult dairy cattle. Vet. Parasitol. Reg. Stud. Rep. 2022, 34, 100777. [Google Scholar] [CrossRef]
  21. Hatam-Nahavandi, K.; Ahmadpour, E.; Carmena, D.; Spotin, A.; Bangoura, B.; Xiao, L. Cryptosporidium infections in terrestrial ungulates with focus on livestock: A systematic review and meta-analysis. Parasit. Vectors 2019, 12, 453. [Google Scholar] [CrossRef] [PubMed]
  22. Wells, B.; Thomson, S.; Ensor, H.; Innes, E.A.; Katzer, F. Development of a sensitive method to extract and detect low numbers of Cryptosporidium oocysts from adult cattle faecal samples. Vet. Parasitol. 2016, 30, 26–29. [Google Scholar] [CrossRef] [PubMed]
  23. Follet, J.; Guyot, K.; Leruste, H.; Follet-Dumoulin, A.; Hammouma-Ghelboun, O.; Certad, G.; Dei-Cas, E.; Halama, P. Cryptosporidium infection in a veal calf cohort in France: Molecular characterization of species in a longitudinal study. Vet. Res. 2011, 42, 116. [Google Scholar] [CrossRef] [PubMed]
  24. Wang, R.; Ma, G.; Zhao, J.; Lu, Q.; Wang, H.; Zhang, L.; Jian, F.; Ning, C.; Xiao, L. Cryptosporidium andersoni is the predominant species in post-weaned and adult dairy cattle in China. Parasitol. Int. 2011, 60, 1–4. [Google Scholar] [CrossRef] [PubMed]
  25. Díaz, P.; Navarro, E.; Prieto, A.; Pérez-Creo, A.; Viña, M.; Díaz-Cao, J.M.; López, C.M.; Panadero, R.; Fernández, G.; Díez-Baños, P.; et al. Cryptosporidium species in post-weaned and adult sheep and goats from N.W. Spain: Public and animal health significance. Vet. Parasitol. 2018, 254, 1–5. [Google Scholar] [CrossRef] [PubMed]
  26. O’Handley, R.M. Cryptosporidium parvum infection in cattle: Are current perceptions accurate? Trends Parasitol. 2007, 23, 477–480. [Google Scholar] [CrossRef] [PubMed]
  27. Fiuza, V.R.S.; Almeida, A.J.; Frazão-Teixeira, E.; Santín, M.; Fayer, R.; Oliveira, F.C.R. Occurrence of Cryptosporidium andersoni in Brazilian cattle. J. Parasitol. 2011, 97, 952–953. [Google Scholar] [CrossRef] [PubMed]
  28. Paul, S.; Chandra, D.; Tewari, A.K.; Banerjee, P.S.; Ray, D.D.; Raina, O.K.; Rao, J.R. Prevalence of Cryptosporidium andersoni: A molecular epidemiological survey among cattle in India. Vet. Parasitol. 2009, 161, 31–35. [Google Scholar] [CrossRef] [PubMed]
  29. Rieux, A.; Chartier, C.; Pors, I.; Delafosse, A.; Paraud, C. Molecular characterization of Cryptosporidium isolates from high-excreting young dairy calves in dairy cattle herds in Western France. Parasitol. Res. 2013, 112, 3423–3431. [Google Scholar] [CrossRef]
  30. Mammeri, M.; Chevillot, A.; Chenafi, I.; Julien, C.; Vallée, I.; Polack, B.; Follet, J.; Adjou, K.T. Molecular characterization of Cryptosporidium isolates from diarrheal dairy calves in France. Vet. Parasitol. Reg. Stud. Rep. 2019, 18, 100323. [Google Scholar] [CrossRef]
  31. Hoque, S.; Pinto, P.; Ribeiro, C.A.; Canniere, E.; Daandels, Y.; Dellevoet, M.; Bourgeois, A.; Hammouma, O.; Hunter, P.; Gentekaki, E.; et al. Follow-up investigation into Cryptosporidium prevalence and transmission in Western European dairy farms. Vet. Parasitol. 2023, 318, 109920. [Google Scholar] [CrossRef]
  32. Tarekegn, Z.S.; Tigabu, Y.; Dejene, H. Cryptosporidium infection in cattle and humans in Ethiopia: A systematic review and meta-analysis. Parasite Epidemiol. Control. 2021, 14, e00219. [Google Scholar] [CrossRef] [PubMed]
  33. Li, X.; Guyot, K.; Dei-Cas, E.; Mallard, J.P.; Ballet, J.J.; Brasseur, P. Cryptosporidium oocysts in mussels (Mytilus edulis) from Normandy (France). Int. J. Food Microbiol. 2006, 108, 321–325. [Google Scholar] [CrossRef] [PubMed]
  34. Berhanu, K.; Ayana, D.; Megersa, B.; Ashenafi, H.; Waktole, H. Cryptosporidium in human-animal-environment interphase at Adama and Asella areas of Oromia regional state, Ethiopia. BMC Vet. Res. 2022, 14, 18. [Google Scholar] [CrossRef] [PubMed]
  35. Ralston, B.J.; McAllister, T.A.; Olson, M.E. Prevalence and infection pattern of naturally acquired giardiasis and cryptosporidiosis in range beef calves and their dams. Vet. Parasitol. 2003, 114, 113–122. [Google Scholar] [CrossRef]
  36. Thomson, S.; Hamilton, C.A.; Hope, J.C.; Katzer, F.; Mabbott, N.A.; Morrison, L.J.; Innes, E.A. Bovine cryptosporidiosis: Impact, host-parasite interaction and control strategies. Vet. Res. 2017, 48, 42. [Google Scholar] [CrossRef]
  37. Lindsay, D.S.; Upton, S.J.; Owens, D.S.; Morgan, U.M.; Mead, J.R.; Blagburn, B.L. Cryptosporidium andersoni n. sp. (Apicomplexa: Cryptosporiidae) from cattle, Bos taurus. J. Eukaryot. Microbiol. 2000, 47, 91–95. [Google Scholar] [CrossRef]
Figure 1. Maximum likelihood phylogenetic analysis of Cryptosporidium isolates based on partial SSU rRNA gene sequences (785 bp). Accession numbers of reference sequences of C. andersoni, C. baileyi, C. bovis, C. meleagridis, C. occultus, C. parvum, C. ryanae, C. scrofarum, C. suis and C. xiaoi are indicated. The tree is drawn to scale with branch lengths measured in the number of substitutions per site. Numbers near the individual nodes indicate bootstrap values (%) above 50% (1000 replicates). Neighbor joining and UPGMA methods lead to similar topologies; only the maximum likelihood tree is shown.
Figure 1. Maximum likelihood phylogenetic analysis of Cryptosporidium isolates based on partial SSU rRNA gene sequences (785 bp). Accession numbers of reference sequences of C. andersoni, C. baileyi, C. bovis, C. meleagridis, C. occultus, C. parvum, C. ryanae, C. scrofarum, C. suis and C. xiaoi are indicated. The tree is drawn to scale with branch lengths measured in the number of substitutions per site. Numbers near the individual nodes indicate bootstrap values (%) above 50% (1000 replicates). Neighbor joining and UPGMA methods lead to similar topologies; only the maximum likelihood tree is shown.
Microorganisms 12 00335 g001
Table 1. Cryptosporidium infection rate and species identification according to farms.
Table 1. Cryptosporidium infection rate and species identification according to farms.
Farms
Identification
N° of Animals/FarmN° of Tested Samples/FarmN° of Cryptosporidium Positive Animals (%)95% Confidence Intervals (C.I. 95%)Cryptosporidium Species
F12492050NA aNA
F21541360NANA
F32041370NANA
F4245960NANA
F51531170NANA
F682540NANA
F770330NANA
F8136110NANA
F9244600NANA
F10112240NANA
F11219710NANA
F122081575 (3.18)1.17–7.66C. andersoni
F134091280NANA
F14312430NANA
F15110551 (1.81)0.10–11.00C. ryanae
F16233670NANA
F172301494 (2.68)0.86–7.16C. andersoni
F181231121 (0.89)0.47–5.60C. andersoni
F192751662 (1.20)0.21–4-74C. andersoni
F20107951 (1.05)0.6–6.56C. bovis/xiaoi
Total3875191614 (0.73)0.42–1.26C. andersoni, C. ryanae, C. bovis/xiaoi
a NA, not applicable.
Table 2. Description of positive samples according to animal age, delivery, sampling season and Cryptosporidium species detection identified at the SSU rRNA gene locus.
Table 2. Description of positive samples according to animal age, delivery, sampling season and Cryptosporidium species detection identified at the SSU rRNA gene locus.
Sample
Identification
Age in
Months
(Age Class) c
Number of DeliveryWeeks for Sample Collection
after Last Delivery
Sampling SeasonCryptosporidium
Species
Gene Accession Number% of Identity
with Reference
Sequence
F17-E0621
(heifer)
0NA aFallC. andersoniOR610758100
(MK982465.1)
F20-B0911
(heifer)
0NAFallC. bovis/xiaoi-100/forward
(MF074602/FJ896046)
100/reverse
(MF074602)
F19-E0829
(cow)
14 WinterC. andersoniOR610759100
(MK982465.1)
F15-A1219
(heifer)
0NAFallC. ryanaeOR610760100
(MF671873)
F17-H0918
(heifer)
0NAWinterC. andersoniOR610761100
(MK982465.1)
F17-A0288
(cow)
58 FallC. andersoniOR610762100
(MK982465.1)
F19-G0728
(cow)
11 WinterC. andersoniOR610763100
(MK841325.1)
F12-A04 b29
(heifer)
0NASpringC. andersoniOR610764100
(MK982465.1)
F17-A0546
(cow)
29 SummerC. andersoniOR610765100
(MK982465.1)
F18-B0324
(heifer)
0NASummerC. andersoniOR610766100
(MK982465.1)
F12-A1033
(heifer)
0NASpringC. andersoniOR610767100
(MK841325.1)
F12-D12 b31
(cow)
15 SpringC. andersoniOR610768100
(MK982465.1)
F12-E0225
(heifer)
0NAFallC. andersoniOR610769100
(MK982465.1)
F12-D0520
(heifer)
0NAFallC. andersoniOR610770100
(MK841325.1)
a NA, not applicable; b These two samples are from the same animal tested at different moments; c Age class: heifer: female adult cattle who has not produced a calf; cow: female adult cattle who has produced at least one calf.
Table 3. Age related Cryptosporidium distribution in cattle from France according to different studies.
Table 3. Age related Cryptosporidium distribution in cattle from France according to different studies.
LocalizationMethod of DetectionAge of AnimalsC. parvumC. ryanaeC. bovisC. xiaoiC. andersoniNDReferences
N° of PositivePrevalence
(%)
N° of PositivePrevalenceN° of PositivePrevalenceN° of PositivePrevalenceN° of PositivePrevalenceN° of PositivePrevalence
BritannyPCR and sequencing5 weeks59/68873/6841/68200005/687%[23]
15 weeks1/591.6926/594427/594500005/599%
22 weeks0/20010/20509/204500001/205%
NormandyPCR and sequencing<21 days 80/8297.6002/822.400002/820[29]
Allier Ardèche, Côte-d’Or, Moselle, Saône et-Loire, YonnePCR and sequencing≤45 days29/3193.540000000000[30]
Hauts-de-FrancePCR and sequencing<3 months 49/7268.13/724.219/7226.41/7214.30000[13]
Adult a2/728.61/714.33/742.8001/714.300
Hauts-de-FrancePCR and sequencing<3 months 28/3873.64/3810.525/3813.15001/382.6300[29]
Adult a1/714.28002/728.57004/757.1400
Hauts-de-FrancePCR and sequencing11–33 months001/911.1100007/977.781/911.11Present study
28–88 months000000005/510000
a Age of adult cows was not indicated.
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Certad, G.; Gantois, N.; Merlin, S.; Martel, S.; Even, G.; Viscogliosi, E.; Audebert, C.; Chabé, M. Frequency and Molecular Identification of Cryptosporidium in Adult Prim’Holstein Dairy Cattle Farms in the North of France. Microorganisms 2024, 12, 335. https://doi.org/10.3390/microorganisms12020335

AMA Style

Certad G, Gantois N, Merlin S, Martel S, Even G, Viscogliosi E, Audebert C, Chabé M. Frequency and Molecular Identification of Cryptosporidium in Adult Prim’Holstein Dairy Cattle Farms in the North of France. Microorganisms. 2024; 12(2):335. https://doi.org/10.3390/microorganisms12020335

Chicago/Turabian Style

Certad, Gabriela, Nausicaa Gantois, Sophie Merlin, Sophie Martel, Gaël Even, Eric Viscogliosi, Christophe Audebert, and Magali Chabé. 2024. "Frequency and Molecular Identification of Cryptosporidium in Adult Prim’Holstein Dairy Cattle Farms in the North of France" Microorganisms 12, no. 2: 335. https://doi.org/10.3390/microorganisms12020335

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