Literature DB >> 26555363

Biomonitoring Heavy Metal Pollution Using an Aquatic Apex Predator, the American Alligator, and Its Parasites.

Marisa Tellez1, Mark Merchant2.   

Abstract

Monitoring the bioaccumulation of chemical elements within various organismal tissues has become a useful tool to survey current or chronic levels of heavy metal exposure within an environment. In this study, we compared the bioaccumulations of As, Cd, Cu, Fe, Pb, Se, and Zn between the American alligator, Alligator mississippiensis, and its parasites in order to establish their use as bioindicators of heavy metal pollution. Concomitant with these results, we were interested to determine if parasites were more sensitive bioindicators of heavy metals relative to alligators. We found parasites collectively accumulated higher levels of As, Cu, Se, and Zn in comparison to their alligator hosts, whereas Fe, Cd, and Pb concentrations were higher in alligators. Interestingly, Fe levels were significantly greater in intestinal trematodes than their alligator hosts when analyzed independently from other parasitic taxa. Further analyses showed alligator intestinal trematodes concentrated As, Cu, Fe, Se, and Zn at significantly higher levels than intestinal nematodes and parasites from other organs. However, pentastomids also employed the role as a good biomagnifier of As. Interestingly, parasitic abundance decreased as levels of As increased. Stomach and intestinal nematodes were the poorest bioaccumulators of metals, yet stomach nematodes showed their ability to concentrate Pb at orders of magnitude higher in comparison to other parasites. Conclusively, we suggest that parasites, particularly intestinal trematodes, are superior biomagnifiers of As, Cu, Se, and Zn, whereas alligators are likely good biological indicators of Fe, Cd, and Pb levels within the environment.

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Year:  2015        PMID: 26555363      PMCID: PMC4640838          DOI: 10.1371/journal.pone.0142522

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

With the rise of natural disasters, and industrial and agricultural run-off, the chemical composition of aquatic microhabitats is in a state of transformation that can be a threat to the health and stability of the aqueous biotope [1-6]. Elevated levels of various transition and alkaline earth metals, for example, can hinder the production, maturation, and function of monocytes, which would facilitate the increase susceptibility of an individual or population to pathogens that normally could have been eliminated by the immune system [3, 7–10]. There are various analytical methods to detect fluctuations of heavy metals within the aquatic environment [5]. However, biomonitoring has become a favorable and widely used technique based on the sensitivity of an organisms to subtle current or chronic exposure of heavy metals [5,11,12]. The deleterious effects of altered biochemical and/or physiological states are reflected faster and at lower levels in organisms, which bestows biomonitoring or the use of bioindicators with attractive advantages relative to traditional methods (such as water and soil analyses) [2,5,11-13]. The use of bioindicators can be particularly valuable when comparing heavy metal distribution among populations, geographic locations, or along a temporal scale (between seasons, years, etc.). However, not all organisms are ideal bioindicators for the monitoring of pollutant discharge over an extensive time period. Ideal organisms or species feature a suite of characteristics, such as 1) long life spans, 2) abundant at multiple geographic locations within a well-defined territorial range, 3) occupation of higher trophic levels, and 4) accumulate of high pollutant concentrations without mortality [5,11]. Because of their sensitivity to abiotic fluctuations, and their dependency of multiple hosts in the food web [14], many metazoan parasites of long-lived vertebrates satisfy the criteria of pollutant bioindicators [11,12,15-25]. Likewise, their position as a top trophic consumer [26] can infer cryptic details about the chemical state of the environment as a consequence of food web biomagnifications [11,27]. Results from research investigating the use of parasites as bioindicators have compared the chemical composition between hosts and parasites of secondary or lower trophic level consumers, such as zebra mussels, fish, pigs and cows [11,12,21,22]. At present, knowledge of heavy metal correlation between parasites and reptiles, as well as apex predators, is insufficient. In theory, parasites of a generalist apex predator should demonstrate superior biomagnification capabilities of environmental heavy metal accumulation than secondary or tertiary consumers and their parasites, given the bioaccumulation of pollutants from various trophic links up the food web. Moreover, the importance of bioaccumulation levels could perhaps be further amplified when the predatory host species, such as the American alligator (Alligator mississippiensis), is also an ideal sentinel species of pollution. The capacity to readily accumulate heavy metals from prey or their environment [1,28-33], along with their widespread geographic distribution, territorial behavior, longevity, and well-studied physiology and biology, constitute alligators as favorable bioindicators. Thus, the heavy metal analysis of a predator-parasite system, such as alligators and their parasites, could provide a unique perspective concerning heavy metal pollution within the environment. This is the first study to compare the bioaccumulation of heavy metals in an aquatic, long-lived, apex predator host, the American alligator, and its parasites to determine their role and future use as bioindicators of aquatic pollution. Heavy metal concentrations of four parasitic groups (stomach nematodes, intestinal trematodes, intestinal nematodes, and pentastomids) from three different biological host sites are compared, and contrasted to metal levels found in alligators. We also compared heavy metal levels among geographic locations of alligators and their parasites to determine if host bioaccumulation of metals coincided with levels detected among parasites. Finally, we analyzed the correlation of heavy metal concentrations to parasite abundance in order to examine the possible effects of heavy metals on parasitism. Although we expected alligators to bioaccumulate heavy metals at high levels, we predicted parasites would accumulate pollutants at higher concentrations than their host as observed in other host-parasite systems. As a consequence, alligator parasites could prove to be essential bioindicators of the chemical state of the aquatic ecosystem, which could help foster the appropriate management to prevent further environmental contamination.

Material and Methods

Sample Collection and Heavy Metal Analysis Preparation

Alligators were collected with the assistance and permission of the Louisiana Department of Wildlife and Fisheries (LDWF), Florida Fish and Wildlife (FFW), licensed nuisance and annual hunters, and processing sheds for four annual alligator harvests (2009–2012). The alligator harvests of both Florida and Louisiana are internationally recognized programs for the sustainable management of alligator populations. Protected, yet not endangered, the regulated wild alligator harvests provide long-term benefits to the survival of alligators, in addition to providing significant economic and culture benefits to the citizens of the state. In Louisiana, the LDWF Alligator Management Program separates the state into two zones (West Zone vs. East Zone) during the one-month harvest season, which begins in late August. The boundaries of the East Zone (SELA) and West Zone (SWLA) are designated by the LDWF Alligator Management Program, geographically separated by Interstate 55 and the Atchafalaya River. According to the USGS National Land Cover database, LAE sites are characterized by open water, woody wetlands, and big developed intensity, whereas collection sites from LAW are described as cultivated crop and herbaceous wetlands. No boundaries or zones are set in Florida (FL) during the harvest, which begins early August, and ends November 1. Collection sites of Florida alligators are characterized as medium to large development and herbaceous wetlands according to the USGS National Land Cover database. All alligators in our study were collected via legal trapping methods such as legal firearm, hook and line, or bow and arrow, then transported to licensed processing sheds where alligator dissections were performed by our research team in Louisiana and Florida. Geographic origin (Fig 1 and S1 Table), size and sex were recorded of all specimens as this is typical protocol for data recording of crocodilians.
Fig 1

Map of collection sites in Louisiana West Zone (triangles), Louisiana East Zone (circles), and Florida (rectangles).

Lungs and stomachs of alligators were removed from the alligator corpse, and immediately examined for parasites during the 2009–2012 alligator harvests. Intestinal tracts were removed from mesentery and either dissected upon removal or put into labeled jars, fixed in 10% formalin, and transferred to the University of California, Los Angeles (UCLA) for dissection. In summary, parasites were recovered from host lungs (SWLA, n = 13; SELA, n = 6; FL, n = 16), host stomach (SWLA, n = 8; SELA, n = 15; FL, n = 26), and host intestines (SWLA, n = 12; SELA, n = 11; FL, n = 4), and stored in labeled vials that were identified to the biological and site of infection, alligator host, and year. Once parasites from lungs, stomachs, and intestines were identified to species (Table 1), they were either stored in an -80°C cooler or in vials of 95% ethanol.
Table 1

Summary of parasite species collected from each alligator host/year in each geographic zone.

ZoneYearHost* Parasite Species
SELA 200913Ascarid, Brevimulticaecum tenuicolle, Dujardinascaris waltoni, Ortleppascaris antipini
2010A Dujardinascaris waltoni
2010B Dujardinascaris waltoni, Ortleppascaris antipini
2010C Ortleppascaris antipini
2010H Dujardinascaris waltoni
2010I Dujardinascaris waltoni
2010J Dujardinascaris waltoni
2010MAscarid, Ortleppascaris antipini
2010N Dujardinascaris waltoni
2010OAscarid, Dujardinascaris waltoni, Goezia sp.
2010S Dujardinascaris waltoni
2010TAscarid, Brevimulticaecum tenuicolle, Dujardinascaris waltoni, Ortleppascaris antipini
2010Z Dujardinascaris waltoni
20111Ascarid, Acanthostomum pavidum, Proctocaecum coronarium, Sebekia mississippiensis
20112Ascarid, Brevimulticaecum tenuicolle, Dujardinascaris waltoni, Eustronglyides sp., Ortleppascaris antipini
20113 Acanthostomum pavidum, Proctocaecum coronarium, Sebekia mississippiensis
20114Ascarid, Acanthostomum pavidum, Proctocaecum coronarium, Timoniella loosi
20116 Dujardinascaris waltoni
201111Ascarid, Dujardinascaris waltoni, Ortleppascaris antipini, Terranova lanceolata
201115 Sebekia mississippiensis
201116 Dujardinascaris waltoni
201118 Sebekia mississippiensis
201119 Dujardinascaris waltoni, Sebekia mississippiensis
201120 Sebekia mississippiensis
2011P Brevimulticaecum tenuicolle, Ortleppascaris antipini
2011TAscarid, Brevimulticaecum tenuicolle, Dujardinascaris waltoni, Ortleppascaris antipini
2011U Dujardinascaris waltoni, Sebekia mississippiensis, Terranova lanceolata
2012H Dujardinascaris waltoni
2012JAscarid, Brevimulticaecum tenuicolle, Dujardinascaris waltoni, Ortleppascaris antipini
SWLA 2009BAscarid, Brevimulticaecum tenuicolle, Ortleppascaris antipini
2009FAscarid, Dujardinascaris waltoni, Ortleppascaris antipini
20102Ascarid, Brevimulticaecum tenuicolle, Ortleppascaris antipini, Terranova lanceolata
20104 Dujardinascaris waltoni
20108 Dujardinascaris waltoni
201012 Dujardinascaris waltoni
201013Ascarid, Brevimulticaecum tenuicolle, Dujardinascaris waltoni, Ortleppascaris antipini
201015 Dujardinascaris waltoni
201050 Dujardinascaris waltoni
2011C Sebekia mississippiensis
2011D Sebekia mississippiensis
2011E Sebekia mississippiensis
2011F Sebekia mississippiensis
2011H Dujardinascaris waltoni
2011IAscarid, Brevimulticaecum tenuicolle, Acanthostomum pavidum, Archaeodiplostomum acetubulata, Polycotyle ornata, Pseudocrocodilicola georgiana, Dujardinascaris waltoni, Ortleppascaris antipini, Proctocaecum coronarium
2011KAscarid, Brevimulticaecum tenuicolle, Dujardinascaris waltoni, Ortleppascaris antipini, Sebekia mississippiensis
2011LAscarid, Acanthostomum pavidum, Archaeodiplostomum acetubulata, Proctocaecum coronarium, Pseudocrocodilicola americana, Sebekia mississippiensis
2011N Sebekia mississippiensis
20110 Sebekia mississippiensis
2011Y Ortleppascaris antipini
20112Ascarid, Brevimulticaecum tenuicolle, Dujardinascaris waltoni, Eustronglyides sp., Ortleppascaris antipini
20115Ascarid, Dujardinascaris waltoni, Ortleppascaris antipini, Sebekia mississippiensis
20116 Dujardinascaris waltoni
20117 Sebekia mississippiensis
201110 Sebekia mississippiensis
201117 Sebekia mississippiensis
2011N Sebekia mississippiensis
FL 2011A Dujardinascaris waltoni, Brevimulticaecum tenuicolle, Ortleppascaris antipini, Sebekia mississippiensis
2011B Dujardinascaris waltoni, Brevimulticaecum tenuicolle, Ortleppascaris antipini
2011E Dujardinascaris waltoni, Ortleppascaris antipini, Sebekia mississippiensis
2011FAscarid, Dujardinascaris waltoni, Ortleppascaris antipini, Sebekia mississippiensis
2011G Sebekia mississippiensis
2011H Brevimulticaecum tenuicolle, Dujardinascaris waltoni, Eustronglyides sp., Ortleppascaris antipini, Sebekia mississippiensis
2011I Sebekia mississippiensis
2011J Dujardinascaris waltoni, Eustronglyides sp., Sebekia mississippiensis
2011K Sebekia mississippiensis
2011L Sebekia mississippiensis
2011M Dujardinascaris waltoni, Sebekia mississippiensis
2011NAscarid, Brevimulticaecum tenuicolle, Dujardinascaris waltoni, Ortleppascaris antipini, Sebekia mississippiensis
2011O Brevimulticaecum tenuicolle, Dujardinascaris waltoni, Eustronglyides sp., Goezia sp., Ortleppascaris antipini, Sebekia mississippiensis
2011Q Sebekia mississippiensis
2011R Sebekia mississippiensis
2011S Dujardinascaris waltoni, Sebekia mississippiensis
2011T Sebekia mississippiensis
2012A Brevimulticaecum tenuicolle, Dujardinascaris waltoni, Ortleppascaris antipini
2012BAscarid, Brevimulticaecum tenuicolle, Dujardinascaris waltoni, Eustronglyides sp., Goezia sp., Ortleppascaris antipini
2012CAscarid, Dujardinascaris waltoni, Ortleppascaris antipini
2012D Dujardinascaris waltoni, Ortleppascaris antipini
2012E Dujardinascaris waltoni
2012G Dujardinascaris waltoni, Ortleppascaris antipini
2012HAscarid, Brevimulticaecum tenuicolle, Dujardinascaris waltoni, Ortleppascaris antipini
2012IAscarid, Dujardinascaris waltoni, Ortleppascaris antipini
2012J Dujardinascaris waltoni

* Numbers and letters under column “Host” identifies the tag of each alligator individual, i.e., “Alligator 13 2009,” Alligator A 2009”, etc.

* Numbers and letters under column “Host” identifies the tag of each alligator individual, i.e., “Alligator 13 2009,” Alligator A 2009”, etc. A total of 106 alligators (i.e. livers) from 2010–2012 were used in our study. Samples of livers from geographic locations were collected as follows: SWLA (n = 40) and SELA (n = 39) during the 2010–2012 annual Louisiana alligator harvest, and FL (n = 27) during the 2011 and 2012 FL alligator harvests. S2 Table lists number of alligators from each region and site per year. Livers were chosen for the analysis of heavy metals because heavy metals are concentrated in the liver due to its high blood supply and function of detoxification [34-37]. Liver samples were stored in a freezer at -80°C. Liver samples and parasites samples were eventually transported to McNeese University for heavy metal analysis. All sampling procedures were approved by the LDWF and FFW. UCLA IACUC permission or approval was not required as the animals collected were sacrificed by the time of our sample collection because of a legal, statewide animal harvest.

ICP-OES Analysis

In order to prepare samples for heavy metal analysis, liver samples collected from alligators, were dried overnight at 115°C and the mass measured to the nearest 0.01 g (S3 Table). Parasite specimens from each host and bio-location were dried in the same manner, and mass measured to the nearest 0.001 g (S3 Table). Parasite samples were categorized as lung pentastomids, stomach nematodes, intestinal trematodes, and intestinal nematodes. Multiple parasite species were found within the stomach and intestines, however it was predicted the low quantitative representation of each species would not result in metal levels above detection limits if analyzed for heavy metals separately. Therefore, parasites were pooled into the appropriate parasitic bio-location category and analyzed as one sample. Dry samples were ashed for 10–12 hours at 500°C in a KSL-1100x muffle furnace (MTI Corp, Richmond, CA, USA) to allow the samples to cool. Samples were then digested with 7 ml of 10% analytical grade nitric acid (Sigma-Aldrich, St. Louis, MO, USA), and poured into a 10 ml volumetric flask. The flasks were filled to volume with dionized water, and then transferred to 15ml polypropylene centrifuge tubes for analysis. The preparation and digestion process of samples for heavy metal analysis are further described elsewhere [38,39]. Metals examined for this study were As, Cd, Cu, Fe, Pb, Se, and Zn. All samples were analyzed for metals using a Varian 715 ES inductively coupled plasma atomic emission spectroscopy (ICP-OES) instrument at McNeese State University. The emission wavelengths used for the analyses of As, Cd, Cu, Fe, Pb, Se, and Zn were 188.980, 214.439, 327.395, 259.94, 220.353, 196.026, and 213.857 nm, respectively. A standard solution containing 5 ppm of all analytes was analyzed after every 30 samples to check for instrumental drift. Calibrations of ICP-OES were achieved using five standards (0, 1, 2, 5, 10, and 20 ppm). The data collected from the ICP instrument, expressed in mg/L solution, was multiplied by the volume of the sample, expressed in L. The resulting mass of metal in the sample, expressed in mg, was divided by the dry weight of the sample, expressed in kg, resulting in mg of metal/kg of dried sample, or ppm.

Statistical Analyses

To determine if alligators and parasites accumulated heavy metals at different concentrations, we first performed a Wilcoxon-Signed Rank test to independently analyze the variation of Fe, As, Cd, Cu, Pb, Se, and Zn between alligators and parasites comprehensively. We then performed a second Wilcoxon-Signed Rank test in which we analyzed the accumulation of heavy metals independently between alligator tissue and each parasite category (i.e., lung pentastomids, stomach nematodes, intestinal trematodes, and intestinal nematodes). We also performed several Kruskal-Wallis Rank Sum tests to analyze heavy metal variation between an individual host and its parasites. First, we examined the variation of metal bioaccumulation between parasites of the four parasite categories. Secondly, we examined the difference of heavy metal levels between the four designated groups of parasites, in addition to alligators, among the geographic locations (i.e., Florida (FL), Louisiana East Zone (SELA) and Louisiana West Zone (SWLA)). Besides examining the variation of bioaccumulation among geographic locations, this statistical analysis also helped us to examine if there was any statistical inconsistency of metal bioaccumulation between alligators and their parasites from the same locality. Finally, we used a Spearman rank correlation to determine if there was a relationship between heavy metal levels and parasite abundance. Spearman rank correlations, Kruskal-Wallis and Wilcoxon-Signed Rank tests were performed with program R [40]. False discovery rates (FDRs) were calculated for each group of statistical analyses to examine Type I error of multiple comparisons [41,42]. FDRs illustrate the projected percent of false predictions in a set of predictions. For example, an FDR of 0.15 states that 15% of predictions in an analysis are false, and 85% of predictions are correct. The lower FDR strengthens the confidence level for p-values or predictions. All statistical tests were considered statistically significantly different when p ≤ 0.05.

Results

Overall, the individual accumulation of As, Cu, Se, and Zn were significantly higher in parasites collectively (As, Cu, Se, and Zn, Wilcoxon-Signed Rank tests = p < 0.0001, FDRs < 0.001), whereas Fe, and Pb were each significantly higher in alligators when examined conjointly (Fe, and Pb, Wilcoxon-Signed Rank tests = p < 0.0001, FDRs < 0.001) (Table 2). Yet, Fe levels were significantly higher in intestinal trematodes than alligators when analyzed exclusively from other parasitic groups (Wilcoxon-Signed Rank test = 191, p = 0.02617).
Table 2

Average heavy metal concentrations (mg/kg) in alligators and parasites (mean ± standard deviations).

AsCdCuFePbSeZn
Alligator0.8 ± 6.00.1 ± 0.339.2 ± 125.65144 ± 23320.34.3 ± 10.0< 0.1 ± 0.987.1 ± 268.5
Parasites62.1 ± 156.30.1 ± 0.9153.2 ± 283.41012.4 ± 2168.70.7 ± 4.319.5 ± 137.21213.6 ± 3361.5

Variation of Heavy Metal Concentrations among Parasite Groups

Table 3 illustrates average heavy metal accumulation among parasite groups, and Table 4 summarizes specific statistical heavy metal variation among parasite groups. In general, independent analyses of As, Cu, Fe, Se, and Zn showed significantly higher accumulation among intestinal trematodes relative to other parasites (As, Cu, Fe, Se, and Zn, Kruskal Wallis chi-squared tests, df = 3, p < 0.001, FDRs < 0.089). Stomach nematodes had significantly higher accumulation of Pb compared to other parasite categories (Kruskal-Wallis chi-squared = 10.367, df = 3, p = 0.035, FDR = 0.068). Individual analysis of Cd among parasite groups did not significantly vary (Cd, Kruskal Wallis chi-squared tests, p > 0.05).
Table 3

Average heavy metal concentrations (mg/kg ± standard deviation) for different parasite groups.

AsCdCuFePbSeZn
Lung Pentastomids 88.9 ± 134.90120.5 ± 118.2955.6 ± 1026.0039.9 ± 119.31737.5 ± 3541.8
Stomach Nematodes 7.0 ± 20.50.2 ± 0.158.0 ± 97.2461.0 ± 1166.41.7 ± 6.6< 0.1 ± 96.8802.9 ± 3836.4
Intestinal Trematodes 232.6 ± 289.91.6 ± 4.0960.2 ± 663.15339.7 ± 4256.30115.4 ± 167.01590.4 ± 1012.6
Intestinal Nematodes 81.6 ± 237.20.1 ± 0.3184.2 ± 241.7412.5 ± 382,805.0 ± 132.21103 ± 2252.3
Table 4

Summary of statistically significant heavy metal variation among pentastomids, trematodes and nematodes.

Parasites with significantly higher levels of heavy metal concentrations are marked with (*). Statistical analyses were performed with Wilcoxon-Signed Rank tests. FDRs are provided to show the projected percent of false predictions in the set of predictions.

Statistical Analyses Between ParasitesHeavy Metalsp-valueFDR
Intestinal Trematodes * vs. Lung PentastomidsAs, Cu, and FeAs: p = 0.04; Cu: p < 0.001; Fe: p < 0.001As: 5.4e-2; Cu: 1e-5; Fe: 1.4e-5
Intestinal Trematodes* vs. Intestinal NematodesAs, Cu, and FeAs: p = 0.009; Cu: p = 0.002; Fe: p < 0.001As: 1.9e-2; Cu: 2e-3; Fe: 4.5e-6
Intestinal Trematodes * vs. Stomach NematodesAs, Cu, Fe, Se, and ZnAs: p < 0.001; Cu: p < 0.001; Fe: p < 0.001; Se: p = 0.05; Zn: p < 0.001As: 2.6e-6; Cu: 9.3e-7; Fe: 1e-5; Se: 0.07; Zn: 1.5e-4
Intestinal Nematodes* vs. Stomach NematodesCu, Fe, and ZnCu: p < 0.001; Fe: p = 0.03; Zn: p = 0.002Cu: 1.3e-3; Fe: 3.3e-2; Zn: 3.3–3
Stomach Nematodes* vs. Lung PentastomidsAsAs: p < 0.001As: 1.7e-6
Lung Pentastomids* vs. Intestinal NematodesAs, Fe, and ZnAs: p = 0.02; Fe: p < 0.001; Zn: p = 0.03As: 3.5e-2; Fe: 1.4e-3; Zn: 3.3e-2

Summary of statistically significant heavy metal variation among pentastomids, trematodes and nematodes.

Parasites with significantly higher levels of heavy metal concentrations are marked with (*). Statistical analyses were performed with Wilcoxon-Signed Rank tests. FDRs are provided to show the projected percent of false predictions in the set of predictions.

Variation of Heavy Metal Accumulation among Locations

Although As, Cu, Fe and Zn levels did not significantly differ among alligators from SWLA, SELA, or FL (Kruskal Wallis chi-squared, df = 2, p > 0.05), concentrations of these trace metals individually significantly varied among parasites collectively (As, Cu, Fe, and Zn, Kruskal-Wallis chi-squared, df = 2, p < 0.001, FDRs < 0.001) (Table 5). The highest levels of As, Fe, Cu, and Zn were found among parasites from SWLA. In contrast, the respective levels of Cd, Pb, and Se did not statistically vary among parasites throughout locations (Cd, Pb, and Se, Kruskal-Wallis chi-squared tests, df = 2, p > 0.05). Analogous to these results, individual levels of Cd, Pb, and Se did not vary among alligators from the three locations (Kruskal-Wallis chi-squared tests, df = 2, p > 0.05).
Table 5

Comparison between geographic zones of mean (± standard deviation) heavy metal concentrations (mg/kg) from alligators and their parasites.

AsCdCuFePbSeZn
SELA
Alligator0.2 ± 0.30.1 ± 0.125.1 ± 24.92507.9 ± 2469.64.1 ± 10.3< 0.1 ± 0.360.3 ± 25.4
Parasites31.7 ± 77.00.1 ± 0.2160.6 ± 239.61273.6 ± 2018.00.2 ± 0.832.6 ± 0.81901.4 ± 5368.4
SWLA
Alligator0.2 ± 0.20.1 ± 0.231.4 ± 20.13876.6 ± 3733.04.7 ± 10.0< 0.1 ± 0.668.6 ± 22.7
Parasites149.9 ± 245.20.3 ± 1.7313.0 ± 405.21568.2 ± 3257.21.3 ± 7.317.9 ± 233.12003.8 ± 3249.3
FL
Alligator2.5 ± 12.10.22 ± 0.675.3 ± 250.411677.1 ± 46816.194.2 ± 10.00.2 ± 1.6159.9 ± 541.2
Parasites15.7 ± 43.40.02 ± 0.130.7 ± 38.9442.7 ± 593.10.6 ± 2.1112.7 ± 38.1210.8 ± 197.2
In addition to analyzing the variation of heavy metal bioaccumulation among the geographic locations of parasites en masse, we also statistically examined the variation of As, Cu, Cd, Fe, Pb, Se, and Zn levels in each parasite category among geographic locations. Table 6 summarizes our statistical results of heavy metal variation among parasites and alligators throughout geographic regions. In general, the accumulation of heavy metals shows an overall pattern of higher levels among SWLA parasites, except for pentastomids. Interestingly, even though As accumulation was not statistically higher among SELA alligators, our data shows bioaccumulation of As among pentastomids was significantly higher in SELA in comparison to SWLA and FL (Kruskal-Wallis chi-squared = 6.239, df = 2, p = 0.044, FDR = 0.1). We found no statistical difference of As, Cu, Cd, Fe, Pb, Se, and Zn among intestinal trematodes throughout the regions (all p > 0.05).
Table 6

Statistical comparison by region (SELA, SWLA, and FL) of heavy metals from different parasite groups.

Statistical analyses were performed with Kruskal-Wallis chi-squared tests; region highlighted in table had significantly higher concentrations compared to other areas.

Parasite CategoryRegionHeavy Metalsp valueFDR
Trematodesall p > 0.05
Intestinal NematodesSWLACu, ZnCu: p < 0.002; Zn: p < 0.001Cu: 0.008; Zn: 0.007
Stomach NematodesSWLACu, Fe, and ZnCu: p = 0.01; Fe: p = 0.03; Zn: p = 0.002Cu: 0.05; Fe: 0.08; Zn: 0.02
Lung PentastomidsSELA and SWLAAs a , Cu b , Zn b As: p = 0.04; Cu: p = 0.08; Zn: p < 0.001As: 0.1; Cu: 0.03; Zn: 0.004

a Heavy metal bioaccumulation statistically higher in SELA

b Heavy metal bioaccumulation statistically higher in SWLA

Statistical comparison by region (SELA, SWLA, and FL) of heavy metals from different parasite groups.

Statistical analyses were performed with Kruskal-Wallis chi-squared tests; region highlighted in table had significantly higher concentrations compared to other areas. a Heavy metal bioaccumulation statistically higher in SELA b Heavy metal bioaccumulation statistically higher in SWLA

Correlation of Parasite Abundance to Heavy Metal Concentrations

Parasite abundance did not show any significant relationship to Cd, Cu, Fe, Pb, Se, and Zn levels (Cd, Cu, Fe, Pb, Se, and Zn, Spearman rank correlations, p > 0.05). However, the increase of parasitic abundance was found to significantly correlate to lower levels of As among alligators (S = 264943.6, p = 0.042, rs = -0.194, FDR = 0.15).

Discussion

Successive predation through the food web allows for organic and inorganic elements to accumulate and increase in concentration within organismal tissue, particularly among higher trophic levels [22,37,43]. Hence, top-level predators generally possess higher concentration levels of heavy metals in comparison to lower trophic organisms [37,44-46]. In this study, we analyzed the variation of heavy metal bioaccumulation among the American alligator and its parasites, and assessed the effect of heavy metals on alligator parasitism via parasitic abundance. Additionally, we evaluated the role of alligator parasites as a possible important determinant in the detection of cryptic toxic levels of heavy metals within alligators, and in the environment.

Heavy Metal Variation among Alligators and Parasites

Consumed prey of alligators is likely the principal source of heavy metals detected among both alligators and their parasites. Despite this common source, our data shows that parasites and alligators bioaccumulate heavy metals at different rates. For example, parasites accumulate As, Cu, Se, and Zn at higher concentrations than their hosts, whereas alligators show greater tendency to accumulate Fe, Cd, and Pb relative to parasites. We did find a few circumstances of Fe and Pb bioaccumulation greater among parasites (i.e., trematodes and stomach nematodes), however, the overall trend showed lower levels of these particular metals among parasites collectively in comparison to alligators. Based on these data (and relative to abiotic and biotic samples shortly to be discussed), we suggest the use of alligators or their parasites as biological indicators may be dependent on the particular trace metal to be examined. For example, the use of alligator parasites in the detection of Zn levels in the environment would be more advantageous than its reptilian host. The mean Zn concentration level from alligators collectively in our study was 87 mg/kg. In contrast, mean bioaccumulation of Zn in parasites was 1213 mg/kg. Intestinal parasites, which were found to accumulate Zn at much higher levels than pentastomids and gastric nematodes in our study, showed a mean of 1530.2 mg/kg. To further corroborate the above argument, levels of Zn measured from crawfish samples [47] near our collection localities in Vermillion Parish in SWLA during the 2009 harvest had lower levels of Zn in comparison to intestinal parasites (0.05 mg/kg vs. 552.54 mg/kg). Additionally, levels of Cu were higher among alligator intestinal parasites than crawfish 103.6 mg/kg vs. 0.03 mg/kg). Overall, these data are consistent with previous studies that show Zn and Cu uptake in parasites are higher when compared to the tissues of invertebrates, or organisms of lower trophic levels [12,19,18,22,24,25]. Our data is unlike previous research concerning metal accumulation in host-parasite systems (see references [11,12,21,22]), as alligator parasites did not biomagnify all trace metals at levels of magnitude higher than its host. Thus, what biological or physiological feature among alligators or their parasites causes this variation of heavy metal bioaccumulation that contradicts findings from previous host-parasite systems? Perhaps the higher concentrations of Fe, Cd, and Pb among alligators is a consequence of increase binding rates to metallothioneins in comparison to As, Cu, Se, and Zn. Metallothioneins are important hepatic proteins that bind to heavy metals, and assist in the process of detoxification [48-50]. Alternatively, As, Cu, Se, and Zn may be more readily absorbed across the tegument of parasites than other trace metals, allowing Fe, Cd, and Pb to circulate within the alligator circulatory system at higher concentrations. However, these are only speculations as our study is purely descriptive, and we did not concentrate on the biomechanics of heavy metal absorption between alligators and their parasites. Future experiments analyzing the rate of metallothioneins binding to various heavy metals in alligators should be conducted, as these data could provide beneficial information that may help clarify the variation of heavy metal accumulation between alligators and their parasites.

Variation of Heavy Metals among Parasites

A particular pattern arose during our analysis of heavy metal differentiation among the different type of parasites. First, stomach nematodes do not accumulate heavy metals, except Pb, in high concentrations. Lead objects, such as bullet casings (author pers. obs.), ingested by alligators may, in part, contribute to the high lead accumulation found among stomach nematodes. Lead casings are not easily digested, thus can accrue within the stomach over time. Secondly, lung pentastomids accumulated heavy metals at higher concentrations than intestinal nematodes, yet the accumulation levels of metals were overall greater among intestinal trematodes relative to both pentastomids and intestinal nematodes. Taken collectively, nematodes seem to be poor bioindicators of trace metal concentrations within the environment and host. Intestinal trematodes, however, appear to be exceptional candidates as biological indicators of heavy metals. It is likely trematode biology, life history, and occupation of biological niche space greatly affects their ability to accumulate metals to high concentrations. The epithelium of nematodes and pentastomids is non-cellular and made up of collagen or chitin [51]. Nutrient uptake is non-passive, in which parasites feed on ingested food, or on the blood or lymph of its host [51]. In contrast, the epithelium of trematodes is made of cells, which are absorptive by nature [51]. Some nutrients are thus absorbed through the digestion of blood or host tissue since trematodes imbed into the tissue of their host [51]. Intestinal alligator parasites attach along the intestinal tract, mainly occupying luminal space within the small intestines (author’s pers. obs). The small intestine is the primary site in which nutrients, as well as heavy metals, are absorbed into the blood stream across the mucosa of vertebrates [52-54]. Based on this information, intestinal trematodes are likely accumulating metals prior to their circulation within the alligator blood stream. This could explain the high accumulation of Fe among intestinal trematodes compared to alligators, particularly since Fe concentrates at high levels in vertebrate liver [55]. Conclusively, the primary access to a majority of heavy metals by intestinal trematodes likely results in their higher heavy metal accumulation levels compared to other alligator parasitic taxa.

Variation of Heavy Metals among Geographic Locations

Given the diverse array of microhabitats throughout southern Louisiana and north-central Florida in which alligator and parasite samples were collected, it was anticipated that heavy metal levels among host and parasites would differ as a reflection of the different environments and prey species throughout the range. However, bioaccumulation levels of heavy metals did not differ significantly among locality sites. However, en masse, parasites showed higher accumulation of As, Fe, Cu, and Zn in SWLA. Interestingly, Fe, Cu, and Zn coincide with the high levels detected from their alligator hosts in SWLA or Florida. The high bioaccumulation of As among parasites, however, did not correlate. Collectively as a group, parasites from SWLA concentrated As at a higher magnitude (5350 mg/kg vs. 7 mg/kg detected among SWLA alligators), however levels of As were slightly higher among alligators from SELA (11 mg/kg). Yet, despite these contrasting results, the bioaccumulation of As was highest among lung pentastomids from SELA (Fig 2). The above results generate two plausible explanations. First, it is hypothesized that a large disparity between parasite and host bioaccumulation levels (i.e., a high ratio [Cparasite/Chost]) are indicative of acute pollutant exposure, whereas long or chronic exposure of the pollutant correlates with high concentrations in both the host and parasites [17,19,22]. Thus, the significant difference of As bioaccumulation between alligators and their collective parasites illustrates the possible acute exposure to this trace metal within SWLA (Table 7). Secondly, given that lungs are the site of infection for pentastomids, the biomagnification of As among SELA pentastomids is perhaps caused by indirect (excess circulation of As among alligator hosts via consumed prey), and direct (airborne, inhaled through alligator respiratory tract) exposure. Compared to other collection sites, SELA is highly industrialized and urbanized, which can contribute to higher soil, water, and aerial As pollution [56-58]. Based on these data, pentastomids, in addition to trematodes, may be ideal bioindicators of environmental and alligator accumulation of As.
Fig 2

Comparative data of As concentrations among pentastomids from SWLA, SELA, and FL.

Quantity of pentastomids analyzed from each region is shown (n =).

Table 7

Ratio of bioaccumulation levels (Cparasite/Chost) between alligators and their parasites collectively among geographic zones.

High ratios are indicative of acute exposure to heavy metals, and low ratios are indicative of chronic exposure to heavy metal pollution.

AsCdCuFePbSeZn
FL 10.740.160.690.060.2497.752.25
SELA 56.70.523.030.240.03647.6316.5
SWLA 796.772.4811.160.460.3333.7929.91

Comparative data of As concentrations among pentastomids from SWLA, SELA, and FL.

Quantity of pentastomids analyzed from each region is shown (n =).

Ratio of bioaccumulation levels (Cparasite/Chost) between alligators and their parasites collectively among geographic zones.

High ratios are indicative of acute exposure to heavy metals, and low ratios are indicative of chronic exposure to heavy metal pollution.

Correlation of Parasite Abundance to As

Recent investigations show elevated heavy metal concentrations within the environment can decrease the population size of parasites by shortening their longevity, impeding life cycle transmissions, or negatively affecting intermediate host abundance, which can directly affect parasite abundance and intensity within a host population [12,14,59]. The magnitude of As concentrations seem to play a crucial role in the abundance of parasites. This contrasts other host-parasite systems, which show no relation between parasite abundance and the degree of As accumulation [12]. Our results, however, suggest parasite abundance decreases in accordance with higher levels of As as we found a negative correlation between parasite abundance and As concentration. The direct cause for the decline of the parasite infracommunity is unknown as there is insufficient data of the physiological consequences of As exposure in parasites. Yet, perhaps the adverse effects of As towards parasites is similar to those in free-living organisms. Among vertebrates and macroinvertebrates, toxic levels of As are associated with declines in immunity, neurological and vascular complications, and a decrease in growth or maturation [60-63]. Organisms can become exposed to As through air, food, or water [60-63]. Given the detrimental effects of As in free-living organisms, perhaps toxic levels of As can alter the physiological behavior of free-living stages of parasites, thus disrupting the successful transmission to intermediate hosts. Alternatively, toxic levels of As may interfere with the ontogenetic growth of parasites, similar to free-living organisms.

Can Alligator Parasites Be Buffers of Alligator Heavy Metal Toxicity, and Biological Indicators of Environmental Pollution?

In the presence of environmental pollution, the phenomenon of parasites employed as a biological buffer against heavy metal toxicity within the host is a conceivable concept. For instance, minks from the Great Basin Lakes region in Canada infected by lung parasites illustrated lower concentration levels of heavy metals relative to uninfected minks [64]. It is also probable that parasites only absorb particular heavy metals into their tissue. Several heavy metals (Cd, Cr, Cu, Fe, Mn, Ni, Pb, and Zn) were analyzed among red foxes, yet only infected foxes with Echinococcus multilocularis illustrated lower levels of Cd and Pb compared to uninfected red foxes [65]. In conjunction with our study, these investigations suggest parasites capability to bioaccumulate particular heavy metals at higher concentrations than their host perhaps delays, or hinders, the onset of heavy metal toxicity. This is particularly advantageous for organisms of higher trophic levels, as certain elements are known to concentrate at higher levels towards the top of the food web [37,44-46,66,67]. It should also be considered that this biological buffering system would mask the levels of environmental contamination to which alligators are exposed, which would cause lower levels detected within the host. Subsequently, heavy metal analyses solely among host tissue would thus provide inaccurate results of environmental pollution. Relative to our data, we show plausible evidence of the possible buffering role of alligator parasites as the bioaccumulation of heavy metals among parasites was generally higher in comparison to their archaic reptilian host. In particular, our data suggests parasites may buffer alligators from the toxic effects of As, Cu, Se, and Zn. This data is similar to the study of E. multilocularis and red foxes, suggesting that parasites may better absorb or buffer their hosts from particular heavy metals analogous to other heavy metals [65]. However, it must be taken into consideration that extreme levels of these metals could likely cause parasite mortality. Yet, whether rising environmental contamination causes increase metal bioaccumulation or mortality of parasites, either outcome strengthens the applicability of parasites as biological indicators [18,19]. Amid the previous heavy metal studies of fish-parasite systems, the accumulation and response of parasites to environmental pollution is relatively rapid in comparison to its host [19]. Our data showed many examples of high metal bioaccumulations in parasites, particularly among intestinal trematodes, in comparison to alligators. For instance, comparative data from Iberville, Louisiana (SELA) during the 2011 harvest illustrated the combined levels of heavy metals were very high among trematodes, whereas the collective accumulation of heavy metals among hosts were low (Fig 3). In agreement with previous theory [19], this example may reflect acute discharge of heavy metals into the environment. In contrast, alligators from Lake Loochloosa, FL were found to have higher heavy metal accumulation relative to their parasites in 2011 and 2012 (Fig 4). Accordingly, this data may reflect the overall low or chronic release of these metals into the environment. Hence, the comparison of metal accumulation between parasites and alligators can potentially reveal cryptic data about the acute and chronic chemical state of the environment, which can help establish the necessary management to counteract environmental pollution.
Fig 3

Comparative data of the total heavy metal concentration from an individual alligator from Iberville, Louisiana from the 2011 SELA alligator harvest.

Fig 4

Comparative data of the total heavy metal concentration from Lake Loochloosa, FL during (a) 2011, and (b) 2012 alligator harvests.

Each graph represents an individual collected from that year selected at random.

Comparative data of the total heavy metal concentration from Lake Loochloosa, FL during (a) 2011, and (b) 2012 alligator harvests.

Each graph represents an individual collected from that year selected at random. To further determine the role of alligators and their parasites as biological indicators of their environment, we compared data from previous studies that performed heavy metal analyses in some of our sampling area on soil and crawfish [47,68]. In general, intestinal nematodes of alligators collected from Rockefeller Wildlife Refuge during the 2009 annual alligator harvest in SWLA revealed higher concentrations of Cu and Zn than levels detected in soil (intestinal nematodes: Cu = 389 mg/kg, Zn = 398.2 mg/kg vs. soil: Cu = 28 mg/kg, Zn = 72 mg/kg) [68]. Additionally, bioaccumulation of Cu and Zn in western Louisiana in 2010 were found to be higher among parasites (Cu = 571.8 mg/kg; Zn = 5033.4 mg/kg) than both alligators (Cu = 5.5 mg/kg; Zn = 54.6 mg/kg) and crawfish (Cu = 34.9 mg/kg; Zn = 47.3 mg/kg) [47]. These results are similar to previous studies comparing heavy metal accumulation between hosts and parasites [17,22,24]. For example, Cu and Zn levels were present at significantly higher concentration levels among acanthocephalans than its zebra mussel hosts [22]. Concomitantly, Fe also shows trends of higher accumulation among parasites than its host. Pomphorhynchus laevis, a parasite of the barbell Barbus barbus, accumulated Fe better than its host as well another organism from the study site, Dreissena polymorpha [24]. In contrast, the bioaccumulation of Fe among alligators was at degrees of magnitude higher than both crawfish and parasites [47]. Relative to the two above examples, our results generate an argument for the use of alligators and their parasites as bioindicators for heavy metals. Previous studies have suggested crocodilians accumulate heavy metals at low rates, or are tolerant to high levels of pollution [1]. However, it is possible for high levels or symptoms of heavy metal toxicity to be delayed or masked [1,28]. Based on our data, and the likely buffering mechanism of alligator parasites, we suggest that future investigations of heavy metal toxicity in crocodilians should examine heavy metal levels in their parasites, particularly intestinal trematodes. As previously stated, our findings show intestinal trematodes are likely superior biomagnifiers of heavy metal toxicity among crocodilians and their environment relative to other alligator parasites. We anticipate this data, together with other results in this study, emphasize the beneficial use of alligator parasites as indicators of enigmatic heavy metal concentrations in crocodilians and their environment, as well as generate a new perspective about the role parasites may have in the tolerability of heavy metals among crocodilians. Further investigations on the ecological and biological intake of heavy metals by alligators and their parasites should improve monitoring of environmental pollution, which can further implement the provisions essential for the sustainability of crocodilians and their habitats.

Geographic locations of collection sites in East Louisiana, West Louisiana, and Florida.

(DOC) Click here for additional data file.

Summary of alligators from each region and site per year.

(DOC) Click here for additional data file.

Dry weight (g) of alligator liver samples, and parasite specimens from each year and geographic zone as organized in heavy metal analysis.

Samples 30 and 60 in each Tray are identified as Blanks as these were a standard solution containing 5 ppm of all analytes to check for instrumental drift. (DOC) Click here for additional data file.
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