| Literature DB >> 31879593 |
Damian Lettoof1, Brenton von Takach2, P W Bateman1, Marthe Monique Gagnon3, Fabien Aubret1,4.
Abstract
Tiger snakes (Notechis scutatus) in wetlands of South-West Western Australia (SW WA) are commonly parasitised by the nematode Ophidascaris pyrrhus. Host-parasite interactions are complex and can potentially be impacted by factors such as urbanisation or climate. We assessed whether urbanisation, distance to wetland sites, and climatic factors have influenced parasitism in tiger snakes from specimens collected over the last century. We dissected 91 museum specimens of tiger snakes across SW WA and counted gastrointestinal nematodes. Binomial generalised linear modelling, with presence/absence of nematodes as a response variable, was used to determine which factors were driving infection. Model selection using AICc values showed that proximity to wetlands, rainfall and topographic wetness were most strongly associated with the probability of infection of snakes by nematodes. We also found a slight positive correlation between nematode abundance and annual mean maximum temperature. We found no significant influence of distance to urban centre on nematode burdens; however, our results suggest that water-related variables are a key driver of nematode parasitism in tiger snakes in SW WA. We also suggest that urbanisation is still of interest as its role in wetland and climate modification may increase parasitism in wetland snakes.Entities:
Keywords: Habitat fragmentation; Parasitism; Snake; Spatial; Temporal; Urbanisation
Year: 2019 PMID: 31879593 PMCID: PMC6920308 DOI: 10.1016/j.ijppaw.2019.11.006
Source DB: PubMed Journal: Int J Parasitol Parasites Wildl ISSN: 2213-2244 Impact factor: 2.674
Fig. 1The abundance of nematode infection for each tiger snake specimen in South-West Western Australia. Arrows indicate major cities used as urban centres. Colour indicates the number of worms (intensity) found in the stomach of each specimen. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Length and body mass measurements for 88 complete tiger snake specimens held at the Western Australian Museum.
| Sex (n) | mean SVL ± SE (range), cm | Mean wet mass ± SE (range), g |
|---|---|---|
| Male (33) | 78.6 ± 28.6 (49.9–113) | 364.4 ± 36.6 (50–900) |
| Female (21) | 79.3 ± 25.8 (60.2–100) | 316.0 ± 22.1 (100–600) |
| Undetermined sex (23) | 68.5 ± 24.2 (50.1–90.0) | 22.6 ± 23.9 (100–450) |
| Juvenile (11) | 36.1 ± 17.2 (27–45.6) | 45.5 ± 6.7 (25–100) |
Prey items observed in the digestive tracts of 91 tiger snake specimens and viscera from the Western Australian Museum.
| Taxon | No. of individuals | Percentage of prey |
|---|---|---|
| Frogs | 86.8% | |
| 11 | ||
| 9 | ||
| 3 | ||
| 3 | ||
| Unidentified | 20 | |
| Mammals | 5.7% | |
| 1 | ||
| Unidentified rodent | 2 | |
| Reptiles | 1.8% | |
| 1 | ||
| Birds | 5.7% | |
| Unidentified | 3 | |
| Fish | 1.8% | |
| Unidentified | 1 |
Fig. 2Abundance (mean number nematodes per snake) of stomach nematodes in adult SW WA tiger snakes based on specimen collection time period. Bars represent standard errors and dots represent outliers, n = sample size for each period.
Seven top models and the null model identifying the strongest predictor variables of nematode infection based on ΔAICc and weight (Dis.W = Distance to wetland, D*Y = interaction between DUC and year and M.Temp = mean annual temperature).
| DUC | Dis.W | D*Y | M.Temp | RAIN | SVL | TWI | Year | logLik | AICc | Δ | weight | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mod1 | – | ♦ | – | – | ♦ | – | ♦ | – | −40.38 | 89.31 | 0 | 0.057 |
| Mod2 | – | ♦ | – | – | ♦ | – | – | – | −41.94 | 90.21 | 0.90 | 0.036 |
| Mod3 | – | ♦ | – | – | ♦ | – | ♦ | ♦ | −39.85 | 90.54 | 1.23 | 0.031 |
| Mod4 | – | – | – | ♦ | – | – | – | −43.31 | 90.79 | 1.48 | 0.027 | |
| Mod5 | – | ♦ | – | – | ♦ | ♦ | ♦ | – | −40.03 | 90.90 | 1.59 | 0.026 |
| Mod6 | – | – | – | ♦ | – | ♦ | – | −42.44 | 91.21 | 1.90 | 0.022 | |
| Mod7 | – | ♦ | – | – | ♦ | ♦ | – | – | −41.37 | 91.29 | 1.98 | 0.021 |
| Null | – | – | – | – | – | – | – | – | −45.12 | 92.29 | 2.98 | 0.013 |
Standard errors for the strongest predictor variables for the top seven models. Reported as estimate (standard error).
| Intercept | Dis.W | RAIN | SVL | TWI | Year | |
|---|---|---|---|---|---|---|
| Mod1 | 1.12 (0.29) | −0.56 (0.27) | −0.61 (0.29) | – | −0.47 (0.27) | – |
| Mod2 | 1.07 (0.27) | −0.43 (0.26) | −0.60 (0.28) | – | – | – |
| Mod3 | 1.13 (0.29) | −0.61 (0.28) | −0.62 (0.28) | – | −0.57 (0.29) | −0.31 (0.30) |
| Mod4 | 1.03 (0.27) | – | −0.49 (0.27) | – | – | – |
| Mod5 | 1.13 (0.29) | −0.54 (0.27) | −0.64 (0.29) | 0.22 (0.27) | −0.44 (0.27) | – |
| Mod6 | 1.06 (0.27) | – | −0.47 (0.27) | – | −0.34 (0.25) | – |
| Mod7 | 1.09 (0.28) | −0.43 (0.26) | −0.64 (0.29) | −0.29 (0.27) | – | – |
Fig. 3Probability of tiger snake stomach nematode infection in relation to a) distance to wetlands, b) mean annual precipitation and c) topographic wetness index (TWI). Shaded areas represents 95% confidence intervals.