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1 Escuela de Biología, Universidad de Costa Rica, San Pedro de Montes de Oca, Costa Rica
3 Corresponding author (rpuschen{at}biologia.ucr.ac.cr)
| ABSTRACT |
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| INTRODUCTION |
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Chytrid infections can be diagnosed by histopathologic techniques (Pessier et al., 1999; Berger et al., 2000), especially in cases of heavy infection. However, if light infections are common, a significant number of false negatives can be expected. For example, Davidson and collaborators (2003) acknowledge the fact that poor sensitivity could have influenced their analysis of chytrid infections in tiger salamanders, but did not attempt to quantify it.
Herpetologists often remove amphibian fingers for mark-recapture studies to estimate population sizes (Donnelly and Guyer, 1994), and recently this technique has been used to assess the presence of B. dendrobatidis in natural anuran populations (Berger et al., 1999). However, no information is available on the sensitivity of this approach. Problems can also be encountered with specificity when utilizing histopathologic techniques because chytrid zoospores can be confused with other cells, such as granulocytes. Olsen et al. (2004) developed a technique that is based on the idea that B. dendrobatidis only grows on keratinized skin, which should make detection more accurate when the pathogen is confirmed on keratin.
Histopathologic assays seem to be less sensitive than recently developed molecular assays (Boyle et al., 2004; Annis et al., 2004), and to improve histologic detection, Berger et al. (2002) developed a chytrid-specific inmunoperoxidase stain. However, not all laboratories have the ability to process antibody-based reactions, and histopatholgy is still widely used for diagnostics. Silver stains (Arrington, 1992), which are more specific to fungi, are not ideally suited to processing larger sample sizes because of time requirements. There is no published information on the comparison of routine histologic procedures with regard to their capacity to detect B. dendrobatidis.
The objective of this study was to compare the probability of detecting B. dendrobatidis in naturally infected Fitzingers rainfrog (Eleutherodactylus fitzingeri) using two histologic techniques and skin samples derived from 12 different body parts.
| MATERIALS AND METHODS |
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Eleutherodactylus fitzingeri was chosen because of its broad range, high abundance throughout Costa Rica (Savage, 2002) and previous observations of B. dendrobatidis infection in this species (Puschendorf, unpubl. data). During 2002 and 2003, we collected 99 specimens of E. fitzingeri; these were euthanized and preserved in formalin. An additional 237 specimens deposited in the herpetologic collection of the zoology museum of Universidad de Costa Rica were also analyzed. For each specimen an approximately 3-mm2 patch of skin, at least 2.0 mm in length, was removed from the pelvic patch (PP), dehydrated, and embedded in paraffin. Two slides, each containing six ribbons of 4-µm sections, were stained, one with H&E, the other with PAS. Between each slide, 8 µm of the block was removed to avoid resampling sporangia. Three sections of skin (3 mm2 with a minimum of 2 mm in length) from the pelvic patch (PP), abdomen (AB), and gular area (GU), along with the left hand and foot, were fixed in 10% neutral buffered formalin (Fig. 1
). The samples were processed routinely and embedded in paraffin. The hand and foot were decalcified in a solution of ethylenediaminetetraacetic acid for 24 hr. We made six slides of each body part. With PP, AB, and GU, we placed six ribbons on each slide. Three samples of the hand and foot were placed on each slide.
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We performed heterogeneity tests to assess whether the different data sets were comparable and could be pooled (Zar, 1999). Both H&E (
2 = 1,314.7; 253 df; P<0.0001) and PAS (
2 = 1,213.8; 253 df; P<0.0001) were heterogeneous. Because of this, we used prevalence (positives/totals) data and applied the arcsine transformation before performing a repeated-measures analysis of variance to determine differences between detection rates between the two stains and the different body parts (Zar, 1999). To assess differences between and within the stains and body parts, we used post hoc homogeneous Tukey tests (
= 0.05).
| RESULTS |
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Using the best skin sample location (PP) and stain (PAS), we used the binomial 95% confidence limit to calculate the probability of detection associated with the number of sections examined (Table 1
). For this, we used results from six animals with light infections (chytrid detected in 39 of the 18 tissues previously examined). In some cases up to 17 sections are needed to reach a >95% confidence of detection.
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| DISCUSSION |
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In mark-recapture studies, it is advised to spare the thumb from being cut, because that could limit sexual behavior in males during amplexus (Duellman and Trueb, 1994). Most projects that have used fingers for analysis probably underestimate infection rates. For example, our data show that with the T5xH&E combination and 432 sections, only an average of 46% of the samples were found to be infected (Fig. 3
). It is clear that even if the best combinations of factors are used, a few ribbons are not enough to determine whether a specimen is infected. A strong effort should be made before deciding that the fungus is absent.
Although PAS was always slightly better at detecting chytrid infections, our results show that it was significantly better at detecting the disease only in PP. Although H&E is more commonly used as a routine stain in diagnostic laboratories, we recommend the use of PAS for people with little experience in diagnosing the disease, such as students or herpetologists without backgrounds in pathology, and with an interest in knowing whether this pathogen occurs in their study site.
Although newer and more accurate genetic assays for the detection of fungal infections have been developed (Annis et al., 2004; Boyle et al., 2004), work on formalin-fixed museum specimens will probably continue relying on histologic techniques (Schander and Halanych, 2003). Finding old museum specimens that are infected could become an impossible task because of the relatively small sample size of amphibians found in collections per collection event. If the abundance of B. dendrobatidis were lower, even more samples would be needed.
Another way of improving the detection power would be by cutting down the skin from the ventral side and rolling it up before taking a transversal sample of the roll of skin (Green, unpubl. data). This technique increases the sampled area greatly, but causes great damage to the specimen.
In conclusion, a large sample size, both in term of specimens and of sections per specimen, is necessary in order to minimize false negatives. The data presented here show that it will be especially hard to prove that B. dendrobatidis was not present at a site before the amphibians there disappeared. At least in the neotropics, old and systematic collections of sites seem to be very scarce.
In the tropics, highland sites, which have presented no evident declines documented so far, might hold the key in proving whether this pathogen is introduced or has always been around these sites, causing sporadic outbreaks in response to other triggering factors. Lips et al. (2006) show strong evidence that in Panama, B. dendrobatidis is an emerging infectious disease. Although the information provided here makes museum specimen surveys for this pathogen a more challenging task, it should not discourage researchers from doing so. It is a key effort to increase our knowledge on the evolution of this pathogen worldwide.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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Received for publication 2 August 2005.
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