Summary
The present study proposes a new methodology for the quantification of parasite eggs in animal tissue. Quantification of parasites are important to understand epidemiology of spirorchiid infections in sea turtles, however different methodologies for quantifying Spirorchiidae eggs in turtle tissues have been used. The most representative way to quantify Spirorchiidae burdens in tissues is counting eggs / g of tissue, however, this method is very laborious. As an alternative, we propose quantifying number of Spirorchiidae eggs/ area of tissue on a microscope slide. We compared this method to number of eggs / slide, a common metric of egg burden in turtle tissues. Both methods correlated well with eggs / g with eggs/mm2 of tissue having better correlation.
Keywords: Chelonia mydas, helminth, pathology
Introduction
The green turtle, Chelonia mydas, is distributed worldwide, occurring from tropical regions to temperate zones. The green turtle forages in coastal habitats (Hirth, 1997) and according to Seminoff (2004), is listed as endangered or near-threatened in portions of its range. In Hawaii, green turtles have been recovering since protection was established in the early 1970s (Balazs & Chaloupka, 2004).
Spirorchiidae are a group of parasitic trematodes found in the circulatory system of marine and freshwater turtles (Platt, 2002) comprising 96 species in 22 genera of which ten are unique to sea turtles (WoRMS, 2018). Spirorchiidae infections are often associated with stranding and mortality of sea turtles worldwide and tend to be more severe in debilitated turtles (Stacy et al., 2010). However, the actual impact of these parasites on the health of these animals is not entirely known (Goldberg et al., 2013). Adult helminths infect the vascular system, primarily the heart, as well
as vessels of various internal organs and mesenteries. There, they copulate and oviposit, causing vasculitis, parasitic granulomas and thromboses (Aguirre et al., 1998). Commonly affected tissues are the gastrointestinal tract, liver, spleen, lung and central nervous system (Glazebrook & Campbell, 1981); however, Goodchild and Dennis (1967) found that the spleen is the organ of Chrysemys picta most commonly infected by Spirorchiidae eggs, and similar observations were made by Flint et al. (2009), in green turtles. The spleen is also heavily infected in C. caretta (Ribeiro et al., 2017).
The detection of infections caused by Spirorchiidae in turtles is usually made during necropsy, when adult helminths or eggs can be observed grossly or microscopically (Work et al., 2005). Parasites can be identified through morphometric analysis of adult helminths, and more recently molecular means (Chapman et al., 2017). However, decomposition is a limiting factor in the detection of these parasites at necropsy, because adults are difficult to detect in decomposed tissues. In contrast, parasite eggs and their shells are more numerous in tissues and, relative to adults, more resistant to degradation thereby acting as a more durable indicator of infestation (Chen et al., 2012). Other studies have detected turtles infected with Spirorchiidae eggs in the absence of the adult worm, which seems to confirm this impression (Aguirre et al., 1998; Santoro et al., 2007; Flint et al., 2010).
The lesions caused by Spirorchiidae eggs are well described and are characterized by the formation of granulomas with giant cell infiltrations (Wolke et al., 1982; Gordon et al., 1998; Work et al., 2005; Flint et al., 2009; Flint et al., 2010; Marchiori et al., 2017; Ribeiro et al., 2017; Santoro et al., 2017; Werneck et al., 2017). Severe forms of the disease are generally associated with other problems such as fibropapillomatosis, coccidiosis and generalized infections with Gram-negative bacteria (Gordon et al., 1998; Raidal et al., 1998), but few studies exist attempting to relate parasite burdens to health outcomes. One exception is a study showing a negative relationship between tissue spirorchiid egg burden and body condition in green turtles from Hawaii (Work et al. 2005). In cases of intestinal impaction, it was observed that in most cases, animals were concomitantly infected with moderate to severe burdens of spirorchids (Flint et al., 2010). When found in low amounts, Spirorchiidae infections are considered incidental for healthy populations of sea turtles (Flint et al., 2010).
Different methodologies for quantifying Spirorchiidae eggs in turtle tissues have been used. Goodchild and Dennis (1967) proposed an egg counting by histological section, regardless of the area, a method also used by Ribeiro et al. (2017). Stacy et al. (2010) created subjective scores for infection intensity of Spirorchiidae eggs, ranging from 0 to 3 according to the amount of egg masses seen in tissue sections. Flint et al. (2010) presented a similar methodology, scoring severity of spirorchiid infection from 0 to 3 (absent, mild, moderate or severe) based on presence of <5 or >5 eggs per 20X microscope field. This methodology was also used by Santoro et al. (2017) and Werneck et al. (2017). Whilst useful empirically, none of these methods relate egg counts to actual area or mass of tissue examined, making cross-study comparisons difficult. A more rigorous assessment of parasite burden was done by quantifying eggs per gram of spleen (Work et al., 2005), a technique adapted from quantifying spirorchiid eggs in tumors (Dailey & Morris, 1995). Whilst quantifying eggs per unit weight of tissue might yield more robust results, quantifying eggs/g of tissue is laborious, requiring tissue digestion and extensive filtration. Quantifying eggs in tissue sections would be an attractive alternative as this is less laborious, however, these counts would need to be validated to a more stringent sampling regimen (e.g. eggs/g). Here we investigated how egg burden relativized to surface area of tissues related to eggs/g of spleen (GOS) using tissues from stranded Hawaiian green turtles.
Material and Methods
Tissues for this study originated from turtles stranded in Hawaii with various conditions in Hawaii (Work et al., 2004). Forty randomly selected formalin- fixed spleens that had previously been quantified for egg burdens (Work et al., 2005) were selected for this study. Spleens were embedded in paraffin, sectioned at 5 um, and stained with hematoxylin and eosin. Tissue sections (one section per individual) were examined under light microscopy and number of eggs in the section was counted. The slides were then scanned, and Image J (Schneider et al., 2012) was used to calculate the area of tissue quantified (mm2). This allowed calculation of number of eggs/mm2 of tissues which was then related to eggs/GOS (Work et al., 2005) using linear regression.
Ethical Approval and/or Informed Consent
National Oceanic and Atmospheric Administration National Marine Fisheries Permit 16865, US Fish and Wildlife Service endangered species permit BRD-VETAGENT-8, and CITES permit 17US105568/9.
Results
Means of 243.4 ± 238.7 (2.0 - 1014.0) eggs per section and 1.7 ± 1.9 (0.0 - 7.7) eggs per mm2were found in the splenic tissues analyzed. The area of tissues examined ranged from 87,126 to 375,842 mm2. Eggs/section correlated less robustly (r2=0.770) to eggs/GOS than eggs/mm2 (r2= 0.835) (Fig. 1).
Fig. 1.
Linear regression of eggs/gram of spleen (GOS) vs eggs/spleen section (left) or eggs/mm^2 of tissue section (right).
Discussion
Quantifying eggs/tissue (Goodchild & Dennis, 1967) provides reasonably good correlation with egg burdens assessed as eggs/GOS. However, this method suffers from a lack of standardization in terms of accounting for amount of tissue examined. As amount of tissues placed on slides will vary between studies, this could lead to increased variation and complications when trying to compare egg burdens between studies. In contrast, the correlation between eggs/GOS and eggs/mm2 was higher (0.85), but the difference between the two correlations was not statistically significant, so theoretically either method could be used to quantify tissue egg burden in green turtles.
The advantage of standardizing egg burden to tissue area is that it allows for more robust interstudy comparisons by accounting for different amounts of tissues used between studies. It also has the added advantage of reducing subjectivity inherent in more qualitative approaches (Stacy et al., 2010; Flint et al., 2010). Finally, it is less laborious than quantifying eggs/GOS. We thus recommend this technique for those interested in quantifying tissue spirorchiid egg burdens in green turtles.
Aknowledgments
We are grateful to everyone that supported us in developing this technique. Mention of products or trade names does not imply endorsement by the US Government.
Footnotes
Conflict of interest
Conflict of Interest Statement: No financial or personal relationship between the authors and other people or organizations have inappropriately influenced (biased) this work.
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