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Applied and Environmental Microbiology, January 2005, p. 131-139, Vol. 71, No. 1
0099-2240/05/$08.00+0 doi:10.1128/AEM.71.1.131-139.2005
Copyright © 2005, American Society for Microbiology. All Rights Reserved.
Instituto de Acuicultura de Torre de la Sal (CSIC), Castellón,1 Servicio de Diagnóstico Patológico de Peces, Facultad de Veterinaria, Universidad Autónoma de Barcelona, Barcelona,2 Tina Menor S. A., Pesués, Cantabria, Spain3
Received 21 May 2004/ Accepted 16 August 2004
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A new protozoan parasite, Cryptosporidium molnari (Apicomplexa) was described from cultured sea bass and sea bream (3), and homologous transmission and cross-transmission have recently been demonstrated under experimental conditions (40). Cryptosporidia are small coccidian parasites recognized as significant pathogens for humans and many other vertebrates (12, 13, 18, 19, 46). The importance of piscine species remains to be determined, but C. molnari may produce pathological effects, mainly in small fish (3). Epidemiological data are very important for ascertaining the significance of this new parasite for aquaculture. In the present paper, a long-term epidemiological study of C. molnari in different culture facilities of sea bass and sea bream is presented. Fish were studied from the hatchery to the market size stage of production in several culture systems on the Atlantic, Cantabric, and Mediterranean coasts. The influence of host and environmental factors on parasite distribution and infection levels was analyzed.
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TABLE 1. Farms and facilities surveyed in the epidemiological study
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FIG. 1. Diagrammatic representation of a typical production management model of gilthead sea bream and European sea bass from hatch to the end of the preongrowing stage, based on H-2 facilities. In study B, sampling points (arrows) were selected according to changes in food type, water quality, and location. Fine filtration, 30- to 40-µm-pore-size sand filter, plus 10- and 20-µm-pore-size sequential cartridge filters. Coarse filtration, 30- to 40-µm-pore-size sand filter only. UV irradiation was performed with 61.3 to 52.1 mJ/cm2 and a water flow of 25 to 30 m3/h (DeltaC30; Aquabona, S. L.).
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TABLE 2. Prevalence and intensity of C. molnari in gilthead sea bream groups surveyed in ongrowing systems in study A
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TABLE 3. Prevalence and intensity of C. molnari in European sea bass groups surveyed in ongrowing systems in study Aa
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Three different groups of gilthead sea bream were surveyed, as detailed in Table 4. Group B-1 was split into two subgroups with different filtration conditions on day 62 posthatching (p.h.). Group B-1a was reared with UV-irradiated and coarse-filtered water at facility H-2 (Fig. 1), and group B1-b was reared with UV-irradiated (80 to 70 mJ/cm2 with a flow of 3 m3/h) (Rex 1PE30, Sefiltra), and sequentially fine-filtered (10-, 5-, and 1-µm-pore-size filters) water at IATS facilities.
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TABLE 4. Prevalence and intensity of C. molnari in gilthead sea bream and European sea bass from the facilities surveyed in study B
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TABLE 5. Prevalence and intensity of C. molnari in gilthead sea bream from the facilities surveyed in study C
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TABLE 6. Prevalence and intensity of C. molnari in European sea bass in the facilities surveyed in study C
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TABLE 7. Prevalence and intensity of C. molnari in gilthead sea bream surveyed in study D
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TABLE 8. Prevalence and intensity of C. molnari in European sea bass surveyed in study D
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Statistical analysis.
Prevalence and mean intensity were calculated for each sampled group. In studies A and C, the influence of the type of facilities and the production stage on the presence of C. molnari was statistically analyzed by using a chi-square test of independence (41), with a Yates correction for continuity when necessary. The Fisher exact test was run when the expected values of the contingency table were very low. This test was also used to analyze the relationship between prevalence of infection and fish weight and season in study A. In addition, a nonlinear regression was used to study the distribution of the prevalence of infection among fish weight classes and seasons. All the statistical analyses were performed with SigmaStat software (SPSS Inc., Chicago, Ill.).
In order to study the dispersion pattern and the age (weight)-intensity profile of C. molnari in gilthead sea bream cultures, data from studies A, B, and D were merged. The variance to mean ratio (VMR) was calculated for total sampled fish and for each weight class. In addition, the frequency distribution of the parasite within the sampled hosts was obtained.
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The overall results indicate slight differences according to the ongrowing system, with maximum infections in indoor facilities, followed by sea cages and ponds. It is remarkable that fish from the same origin introduced at the same time in facility F-1 and IATS were parasitized in F-1 but not in IATS (group IATS-1).
(ii) European sea bass (Table 3).
Fish were found infected only in the first sampling, before introduction in F-3 (sea cages). Subsequent samplings in this facility were negative.
Study B. (i) Gilthead sea bream (Table 4).
In group B-1, the parasite was not detected in the hatchery facilities (subgroup B-1a) until 120 days p.h., when prevalence was 94.7% In contrast, fish transferred to IATS (subgroup B-1b) and kept with fine-filtered water were never found parasitized, even at day 272 p.h.
In both groups B-2 and B-3, the two first samplings at H-2 were negative, whereas high prevalence and intensity were observed at the third sampling (in H-2 for group B-2 and in IATS for group B-3). However, in subsequent samplings after transfer to IATS (239 and 435 days p.h., respectively, for B-2 and B-3), the parasite was not found.
(ii) European sea bass (Table 4).
The parasite was not found in any of the samples carried out in group B-4.
Study C. (i) Gilthead sea bream (Table 5).
The two samplings carried out at facility H-1 (30 and 60 days p.h.) gave a negative result for C. molnari. In H-2, some fish groups were found in the hatchery already infected with medium intensity, and all groups examined from the postlarval-nursery tanks were infected. Thus, the total prevalence was somewhat higher in the postlarval-nursery facility than in the hatchery (25.7 versus 17.7%), though the mean intensity of infection was slightly lower. As there were no statistically significant differences between H-1 and H-2, data from both hatcheries were merged and compared to those of the postlarval-nursery facility. In such a comparison, a statistically significant relationship between the rearing step (hatchery and postlarval-nursery step) and the presence of the parasite was found (P < 0.01).
(ii) European sea bass (Table 6).
The two samplings carried out in H-1 (30 and 60 days) were also negative for C. molnari. In H-2, infection was found in both the hatchery and the postlarval-nursery periods, with a higher prevalence in the latter. As no statistically significant differences between H-1 and H-2 were found, merged data from both hatcheries were compared with those of the postlarval-nursery facility, and a statistically significant relationship between the type of facility and the presence of the parasite was also found for this host (P < 0.0001).
Study D. (i) Gilthead sea bream (Table 7).
Infection levels were highly variable among the different groups examined. High prevalence and intensity of infection were usually observed in fish sampled in preongrowing systems. A progressive decrease in infection levels was observed in IATS groups after their introduction into the facilities. In sea cages, the parasite was found occasionally, mainly in small fish. Notable were the high prevalence and intensity of infection in fish from earth ponds (F-6) with weights of 27.8 g.
(ii) European sea bass (Table 8).
Only small fish recently introduced in IATS facilities were found infected with low prevalence and medium intensity.
Analysis of the distribution of C. molnari throughout gilthead sea bream cultures (i) Dispersion pattern in total sampled fish (studies A, B, and D).
In Fig. 2, the frequency distribution of C. molnari for total sampled animals is shown. Pattern of distribution data had a variance clearly higher than the mean (overdispersed), with aggregation in the null intensity (absence of the parasite). The VMR was 2.46.
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FIG. 2. Frequency distribution of C. molnari for total sampled gilthead sea bream.
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(iii) Season effect (study A).
The relationship between the prevalence of infection and season adjusted well to a nonlinear regression curve (R 2 = 0.998, P = 0.041) (Fig. 3). A statistically significant dependency was found between prevalence of infection and the season (P < 0.001). No fish was found parasitized in winter, whereas prevalence and intensity reached peak values in spring, with a progressive decrease in summer and autumn.
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FIG. 3. Nonlinear regression adjustment of C. molnari prevalence of infection versus season in gilthead sea bream, study A (R2 = 0.998, P = 0.041). Values above each bar indicate the mean intensity of infection.
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FIG. 4. Nonlinear regression adjustment of C. molnari prevalence of infection versus weight class in gilthead sea bream, study A (R2 = 0.9631, P = 0.0071). Values above each bar indicate the mean intensity of infection.
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FIG. 5. Dispersion of C. molnari in total sampled gilthead sea bream, expressed as the VMR in relation to host weight. Dotted line represents the linear regression adjustment (R2 = 0.971, P < 0.001).
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In study A, only slight differences were detected among the different ongrowing culture systems. The statistically significant differences between F-1 and F-2 sea cages were probably influenced by the different previous origins of the fish, as fish from F-2 were introduced already parasitized. In contrast, ongrowing sea bass were never found infected in the studied sea cage farm (F-3), in spite of being parasitized before introduction.
Studies B and C provided some interesting results concerning infection in the hatchery, postlarval, and nursery facilities. As a general trend, gilthead sea bream were very rarely infected before weaning, as C. molnari was only found in two groups of 0.1 and 0.3 g sampled in Dec 97 and Feb 98 in H-2 (study C). On the remaining occasions, fish were always found infected after weaning. A similar situation was observed for sea bass in study C. For both fish species, such differences meant a significant relationship between the presence of the parasite and the production step, which could be related to different factors. Water quality might be involved, as treatment of the water supply changes substantially from the hatchery (fine filtration) to the postlarval and nursery zones (coarse filtration) of H-2. The results of group B-1 apparently support this hypothesis, as fish of the B-1a subgroup were positive for the disease 58 days after subgroup splitting and transfer to coarse-filtered water in H-2, whereas the sister B-1b subgroup fish, kept in IATS facilities with fine filtration, had not acquired the infection even 7 months after transfer. IATS water treatment (80 mJ/cm2; fine filtration) of group B-1b could have been more effective than the treatment applied in the sister subgroup in H-2, but we should also take into account that IATS water inflow can be considered free of C. molnari, according to our long-term records (IATS-positive fish came from other facilities).
However, the effect of water treatment must be carefully considered. The UV irradiation used in H-2 (applied in all the production steps) seems to be ineffective in preventing cryptosporidiosis. Modifications in the type of filtration used in the production steps seem to be responsible for differences in the prevalence and intensity of infection, as the finest filtration (10-µm-pore-size filters) corresponded to the lowest infection levels. UV irradiation (ranging between 20 and 120 mJ/cm2) and conventional filtration of tap water for human consumption have been shown to be unreliable for the removal of Cryptosporidium spp. (19). Furthermore, discrepancies in UV killing doses for Cryptosporidium spp. (8, 28, 39) could be explained by differences in the actual fluence (UV dose), which depends also on water turbidity and water flow rate (30). Thus, the efficacy of the UV irradiation used in H-2 (61.3 to 52.1 mJ/cm2) could have been lowered by turbidity, as coarse filtering was applied as early as 40 days p.h. Once parasites are inside the facilities, the recirculation system of postlarval and nursery steps could contribute to concentrate the oocysts.
Transmission of C. molnari seems to take place mostly through the water supply, as in other cryptosporidia (6). With fish parasites, transmission and dispersion by water are facilitated by the aquatic habitat of the host and the frequent releasing of fully sporulated oocysts with mucus casts or feces. Horizontal transmission of C. molnari to sea bass and gilthead sea bream was experimentally demonstrated (40). The ingestion of other infective stages besides oocysts, favored by frequent cannibalism among these fish, could contribute to the dispersion of the disease. However, the involvement of live food is not to be discounted. Although fish were found infected mostly after weaning, the infective stages could have been introduced during the hatchery period and remained undetectable until further samplings in the postweaning period. It is noticeable that different rotifers can ingest C. parvum oocysts when exposed to them (20). However, the presence of C. molnari in live fish food has not been ascertained, and it is difficult to demonstrate with the available diagnostic tools. The role of aquatic organisms as reservoirs and transmitters of cryptosporidiosis has been reported for other Cryptosporidium ssp. (22, 23, 44). Different aquatic organisms could also act as reservoirs of C. molnari and contribute to transmission, mainly in sea cages or earth ponds. In addition to changes in the water quality, weaning itself could be another risk factor as reported for humans (13, 46) and some farmed animals (24).
According to Arneberg et al. (4), transmission rates of macroparasites depend on host population density in natural parasite communities. Since there are no reports on the epidemiology of C. molnari in natural populations, the data obtained in the present study of cultured fish cannot be compared. However, host population densities are evidently higher in farming systems than in the wild, which probably facilitates transmission. Cryptosposidiosis has been frequently reported in farmed animals (12), but data on wild animals are scarce. Sturdee et al. (42) found the highest cumulative prevalence of Cryptosporidium with respect to pasture animals in home-bred calves. Wild animals can act as reservoirs of Cyrptosporidium spp., with subsequent significance for human welfare (29) or animal welfare (reviewed in reference 33).
The clear influence of the age and weight of fish can be deduced from the four studies presented here. Thus, the highest infection levels were observed in preongrowing and early ongrowing fish, with a tendency to decrease with fish weight. The results obtained confirm the age distribution of Cryptosporidum spp. in other hosts. In humans, all age groups are susceptible, but the majority of the cases in most Western studies are in children (45). In livestock, natural and experimental data have demonstrated that infections are usually high in neonates and the young and less prevalent in adults (5, 10, 12, 24, 32, 36). Although information on piscine cryptosporidiosis is very scarce, it mostly confirms the present results. In cultured turbot, epidemiological data obtained for Cryptosporidium scophthalmi (1) over a period of several years have shown a high prevalence and intensity of infection in small fish, with a sharp decrease in larger animals (P. Alvarez-Pellitero, M. J. Redondo, A. Sitjà-Bobadilla, A. Macías, A. Riaza and F. Padrós, Abstr. 5th Int. Symp. Fish Parasites, p. 4, 1999). The remaining data on piscine hosts are incomplete or based on few sampled animals (7, 25, 27, 31) but seem to indicate the same tendency.
Therefore, the distribution of cryptosporidiosis differs from the most generalized age- or size-dependent pattern for metazoan parasites, in which the prevalence and intensity of infection increase with the age or size of host, even in fish (14, 26, 35). The infection pattern with a peak at a particular age and size host and a subsequent decrease in older animals, a convex profile, has also been described for fish myxosporeans (2, 21, 34, 43) and some fish protozoans (37). Biological, ecological, and immunological aspects may affect the host age distribution and dispersion patterns. The age-dependent exposure and the density-dependent parasite establishment are among these factors (15). In several animal cryptosporidioses, the higher susceptibility of neonates has been attributed to the immunological immaturity of the host (32), and in humans the susceptibility to and the severity of cryptosporidiosis appears to be related to the immunocompetence of the host (10).
In fish, size (not age) has been determined to be critical for the maturity of the immune system and for reaching acceptable levels of protection after vaccination (16). The convex age and prevalence-intensity profile observed for C. molnari can be explained by a decrease in exposure to the parasite or a decrease in susceptibility to the parasite with age. Lower susceptibility due to acquired immunity has been reported for several parasites (reviewed in reference 15). Whether the immunocompetence of gilthead sea bream may play a role in the observed age distribution pattern of C. molnari needs further investigation. In addition, a lower exposure to the parasite in larger animals cannot be ruled out, since aquaculture procedures could favor parasite entrance, concentration, and dispersal in young fish. Consequently, different fish sizes in cultured populations imply changes in culture conditions that mirror those in feeding and migratory behaviors in some wild populations.
The dispersion pattern of C. molnari corresponds to that of an overdispersed parasite distribution, as the VMR of total sampled gilthead sea bream was >1, and the frequency distribution was clearly aggregated. In any host-parasite system, differences in the infectivity of parasites or the susceptibility of host will result in overdispersion of parasites throughout the host population. In fact, this is the model described for the great majority of parasites (38). Furthermore, VMR was higher than 1 in all gilthead sea bream size classes and increased in a linear manner with host weight, with no saturation in adult stages. Thus, the age-intensity profile was not convex in the dispersion pattern. Whether this profile would have become convex if larger fish had been sampled is unknown, but the combination of the different processes influencing parasite distribution leads usually to a convex profile in parasite distributions (5).
A seasonal distribution of C. molnari was found in gilthead sea bream, with maximum prevalence and intensity occurring in spring, followed by summer. Seasonality occurs in natural infections of different fish coccidia (reviewed in reference 11) and has also been found for Cryptosporidium spp. of some nonpiscine hosts (12). In a long-term study of livestock and small wild animals, seasonally combined data showed the highest Cryptosporidium prevalence in autumn (42). In humans, cryptosporidial infections are typically predominant during the warm and wet season in tropical developing areas (13). Temperature is probably one of the major factors involved in seasonal fluctuations of C. molnari infection, though other factors, such as the availability of infective stages and host density and, more probably, a combination of different processes could contribute to the observed situation.
In conclusion, C. molnari appears to be a ubiquitous parasite in gilthead sea bream cultures, reaching the highest infection levels in preongrowing and early ongrowing stages. The parasite seems to enter the host at a previous production stage (postlarval or nursery), either through the water or food. Aquaculture procedures that use recirculation systems and cannibalism among fingerlings may concentrate and facilitate oocyst dispersion. As a water filtration treatment that guarantees the total removal of oocysts is not feasible even in the first steps of the production cycle, early detection of the infection is advisable to avoid its dispersal in the facilities and its transfer to other systems through normal aquaculture trading.
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