Belonging to the family Sphaerodactylidae, lizards of the
Parasites are one of the main regulators of their host populations, and can cause simple infections with low prevalence (Teixeira et al., 2018a), reduced fitness, organ damage and death (Almeida et al., 2008). Also, due to the aggregate distribution character adopted by most parasite species, environmental changes accelerated by human action, such as habitat fragmentation and loss of biodiversity (Lafferty & Kuris, 2005), can cause parasite species to disappear before the actual extinction of their hosts (Lyles & Dobson, 1993), harming the meticulous balance present in this relationship.
Despite their wide distribution (Ribeiro et al., 2013), these lizards are considered relictual due to their small size and their incredible ability to camoufl age among the leaves and other fragments of trees in the forests, thus making the collection of sufficient samples for statistical analysis purposes diffi cult (Werneck et al., 2009), which in turn is reflected in the scarcity of existing studies.
For the purpose of our study we focused on describing the parasitic infection patterns in
We collected lizards from three Atlantic forest fragments of different sizes (Fig. 1). The first fragment presents the largest forest area, about 1,058.62 ha – The Private Reserve of Natural Heritage Engenho Gargaú (PRNHEG; 16 specimens collected in September 2016), which is an area belonging to the Japungu Agroindustrial S/A, in the Santa Rita municipality (06° 59’ 52” S; 34° 57’ 30” W).
Atlantic Forest fragments sampled in this study, located in the Paraíba state, Brazil.
The second fragment has an area of almost 500.00 ha – The Benjamim Maranhão Botanical Garden (BMBG; six specimens collected in November 2016) is a remnant of forest in the urban area of the João Pessoa municipality (07° 08’ 08” S; 34° 51’ 37” W). Finally, the last fragment is an area of about 47.50 ha – The Area of Relevant Ecological Interest Mata de Goiamunduba (AREIMG; 16 specimens collected in October 2016) is located in the Bananeiras municipality (06° 45’ 03.78” S; 35° 38’ 00.06” W). All the above forest fragments are located in the State of Paraíba, Northeastern Brazil and have an average annual rainfall of 1,521 mm and an average annual temperature of 24.2 °C.
We sampled each fragment during 20 consecutive days, between 8:00 a.m. to 4:00 p.m., due to the lack of visibility inside the forest (about 200m from the edge). We captured lizards manually or using pitfall traps (25 traps per study location, mounted in microhabitats more conducive to capturing specimens). Subsequently, we euthanized lizards with a lethal injection of 2 % lidocaine hydrochloride, and measured the snout-vent length (SVL) with a precision calliper to the nearest 0.01 mm and the mass using a decimal precision digital scale, fixed with 10 % formaldehyde, stored in 70 % alcohol and housed in the Coleção Herpetológica da Universidade Federal da Paraíba - CHUFPB.
The lizards were dissected under magnifying glass, and their respiratory and gastrointestinal tracts were examined for the presence of endoparasites. Endoparasites found were counted and their sites of infection recorded. For identification, nematodes were mounted on temporary slides with lactophenol, while trematodes were serially dehydrated through increasing concentrations of alcohol and stained with acetic carmine and later mounted on slides with eugenol (Kritsky et al., 1986). Acanthocephalans, on the other hand, were mounted on slides in a glycerol medium (MacAllister & Bursey, 2007). Then, we stored all helminths in 99.7 % alcohol and housed in Coleção de Invertebrados Paulo Young, in Universidade Federal da Paraíba, Brazil (UFPB-NEM: 03, 04; UFPB-DIG: 03, 04, 05; UFPB-ACA: 01).
We calculated prevalence indices (% of infected hosts) and mean intensity of infection using the methods described in Bush et al. (1997). To check if the SVL and body mass influence the endoparasite abundance, we used generalised linear mixed models (GLMMs) (Bates et al., 2014). In the first model, the endoparasite abundance corresponds to the response variable and, consequently, the SVL corresponds to the independent variable. In addition, host gender was included as a random effect. In the following model, the endoparasite abundance corresponds to the response variable, body mass corresponds to the independent variable, and host gender is a random effect. In both models, we used the Poisson distribution and log link function.
Posteriorly, we create four more models using the generalised linear model (GLM). In this case, the first model was used to verify if endoparasite abundance varies between male and female adult (using only the lizards from AREIMG). The second model was used to verify if the SVL varies between the sampled locations. Finally, the third and fourth models were used to verify the existence of sexual dimorphism related to SVL and body mass (using only the lizards from AREIMG). In the first GLM model, we used the Poisson distribution and log link function; in the other GLM models, we used the Gamma distribution and inverse link function (Bolker et al., 2009).
We analysed the stomach contents using a magnifying glass and identified the prey to the lowest possible taxonomic category. The niche breadth was based on the prey number, since prey items were too fragmented to accurately calculate volume estimates. We calculated the percentages of each prey category per species, from which we obtained the numerical niche breadths using the inverse of the Simpson diversity index (1949):
Where
The diet niche overlap among males and females and the similarity between the areas was calculated using the Pianka overlap index (Pianka, 1973):
where
The present research has complied with all the relevant national regulations and institutional policies for the care and use of animals. Permits for capturing of the lizards and analysing of the endoparasites used in this study were released by SISBIO-IBAMA (no: 54378/3, authentication code: 78752298; no: 56863-1, authentication code: 47783645), SUDEMA (no: 004/2016, process no. 5376/16), and Benjamim Maranhão Botanical Garden-BMBG (no: 003/2016/JBBM/SUDEMA).
Considering all areas together, we examined 38
Basic morphometric data of
PRNHEG | BMBG | AREIMG | ||||
---|---|---|---|---|---|---|
SVL | Mass | SVL | Mass | SVL | Mass | |
Male | 22.21 ± 1.23 | 0.25 ± 0.06 | 21.59 ± 1.65 0.18 | ± 0.06 | 25.02 ± 2.2 | 0.26 ± 0.06 |
Female | 24.21 ± 1.02 | 0.29 ± 0.07 | - | - | 25.06 ± 2.13 | 0.28 ± 0.06 |
Juvenile | - | - | - | - | 20.85 and 20.8 | 0.2 and 0.15 |
We found that the endoparasite abundance is correlated with SVL (R2m= 0.06; R2c= 0.9; z-value= 2.176; p-value= 0.0295) and body mass of the hosts (R2m= 0.33; R2c= 0.89; z-value= 5.335; p-value < 0.0001). In both cases, the greater the body mass and SVL of the lizards, the greater the endoparasite abundance it can support (Fig. 2).
Relationships between endoparasite abundance, SVL (A) and body mass (B), only for lizards from AREIMG.
The results obtained by the GLM models revealed that female hosts harbor a greater endoparasite abundance compared to male hosts (z-value= -6.821; p-value < 0.0001) (Fig. 3); on the other hand, lizards from AREIMG are larger (SVL) than those of the other two populations (t-value= -4.671; p-value < 0.0001) (Fig. 4); in addition, the
Endoparasite abundance among females and males from AREIMG.
Snout-vent length (SVL) of the three populations of
Diet composition, prey number and IVI (importance value index) from three populations of
Diet | BMBG | PRNHEG | AREIMG | Males | Females |
---|---|---|---|---|---|
Araneae | - | 5/36.44 | 1/7.38 | 5/23.96 | 1/8.43 |
Diptera | - | 1/8.28 | 1/2.99 | 2/5.56 | - |
Formicidae | 48/44.1 | - | - | 48/20.95 | - |
Homoptera | 2/7.94 | - | - | 2/2.32 | - |
Hymenoptera | - | 1/12.13 | - | - | 1/12.89 |
Insect larva | 1/35.15 | - | 3/11.71 | 4/16.01 | - |
Insect egg | - | - | 6/7.79 | 6/4.38 | - |
Isopoda | - | 3.35.71 | 5/34.09 | 2/5.17 | 6/69.96 |
Isoptera | - | - | 14/20.45 | 11/8.99 | - |
Orthoptera | 1/12.78 | - | 2/5.87 | 3/6.82 | - |
Psocoptera | - | - | 7/9.68 | 7/5.78 | - |
Scorpiones | - | 1/7.42 | - | - | 1/8.67 |
1.73 | 3.27 | 4.73 | 3.14 | 2.07 |
Habitat fragmentation is one of the processes that most threatens biodiversity (Fischer et al., 2005; Pineda & Halffter, 2004). In these environments, dense host populations may face direct and increased parasitic pressures (Primack & Rodrigues, 2006). The AREIMG presents the smallest area among the studied fragments. In this way, the hosts can use specific sites more frequently (Leu et al., 2010), providing a greater probability of a meeting between these parasites and their hosts (Kerr & Bull, 2006). In the case of endoparasites with heteroxenous life cycles, as in the present study, the higher the density of the hosts, the greater the chances of infection because of the limitations that prevent the transmission of the parasite between intermediate and final hosts are reduced (Buck et al., 2017).
In addition, smaller hosts are less susceptible to harboring large parasite abundance (Kuris et al, 1980). Size and body mass are factors that have been considered in an attempt to explain patterns of endoparasite abundance in vertebrates (George‐Nascimento et al., 2004; Poulin, 2007). The present study showed a significant positive relationship when we separately compare body mass and SVL with the endoparasite abundance in
However, as mentioned by Patterson (2008), the mass and size of the host does not always correspond to greater endoparasite abundance, because ecological, behavioural and phylogenetic aspects can also be linked to the differences in endoparasite abundance and diversity. Furthermore, Price (1990) suggests that smaller hosts complete their life cycles in less time, also decreasing the time for the establishment of abundant parasite populations.
According to Kuris et al. (1980), the host body can be considered an island for parasites, and diversity may be correlated with size.
This pattern may be explained by specific sites of infection only being available within larger hosts due to potential greater niche heterogeneity, which thus facilitates segregation of microhabitats (Kuris et al., 1980).
Our results supports previous studies of parasitic fauna associated with small lizards, since we found three species of helminths infecting
The hosts are mainly infected through diet, when the parasites present heteroxenous cycles (Martin et al., 2005). Based on the results obtained in our study, the diet of the lizards vary in food composition between sampled populations, with low numerical niche overlap, and the numerical niche breadths being highest in the AREIMG population, which may also explain the parasitism only occurring in this area. The AREIMG lizards consumed eight categories of prey, with PRNHEG consuming five and BMBG four, suggesting that the hosts of the population in which endoparasites were found consumed a greater diversity of food items. This corroborated the results of Brito et al. (2014), which presented a higher parasite diversity in lizards with higher food diversity.
Finally, the endoparasite abundance is related to host sex, with females being more parasitised than males. Since the lizards from the AREIMG fragment do not show sexual dimorphism with respect to SVL and body mass, we understand that possibly the host diet may be related to the differences in the endoparasite abundance present between males and females of