| Literature DB >> 29965970 |
Shruti Chaukulkar1, Hasan Sulaeman1, Andrew G Zink1, Vance T Vredenburg1.
Abstract
Emerging infectious disease is a growing threat to global biodiversity. The infectious disease chytridiomycosis, caused by the fungal pathogen Batrachochytrium dendrobatidis (Bd) has led to the decline and extinction of hundreds of amphibian species. Severe Bd-caused epizootics have been documented in North, Central and South America-with many of the research focused on anurans. California, where Bd-related epizootics and amphibian declines have been reported, has some of the highest diversity of salamanders. After more than a decade since the first known epizootic in California, little is known about Bd disease dynamics in salamanders. Pacific newts (Genus: Taricha) are ideal study species because of their abundance, wide geographic range, occurrence in both aquatic and terrestrial habitats, and how little is known about Bd infection dynamics for this group. We conducted a retrospective study to determine the relationship between Pacific newts and the fungal pathogen. We tested 1895 specimens collected between 1889-2009 and found no evidence of Bd-infected Pacific newts until the late 1940's. Although we estimate that Bd emerged in this genus and rapidly spread geographically throughout California, we did not find evidence for epizootic dynamics. Bd infection prevalence and intensity, two measures commonly used to estimate dynamics, remained consistently low over time; suggesting Pacific newts may not be highly susceptible. Also, we found the timing of first Bd emergence in Pacific newts predate Bd emergence in other California salamander species. In addition, we found several environmental and anthropogenic factors correlated with Bd prevalence which may help explain Bd disease dynamics in the genus Taricha. Pacific newts may be a reservoir species that signal pathogen invasion into California salamanders, though further studies are needed.Entities:
Mesh:
Year: 2018 PMID: 29965970 PMCID: PMC6028104 DOI: 10.1371/journal.pone.0197710
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1(a) Spatial and temporal distribution of Pacific newts in California that tested positive for Bd from 1889–2009. (b) Spatial and Temporal distribution of Pacific newts in California that tested negative for Bd from 1889–2009.
Fig 2Emergence of Bd in Pacific newts from 1889–2009.
Infection prevalence (solid line) and infection intensity (broken line) patterns over time. Gray bars represent number of samples analyzed per decade. Infection intensity is represented with a broken line, while the dashed line at Log10 Zscore = 4 represents the 10,000 zoospore genomic equivalents shown to be associated with mortality in anurans as a basis for comparison.
Batrachochytrium dendrobatidis (Bd) prevalence in all four species of Pacific newts.
| Decade | Positive Individuals | Sample Size | % Positive | Lower CI | Upper CI | Pr (noBd) |
|---|---|---|---|---|---|---|
| 1890 | 0 | 62 | 0.00 | 0 | 0.06 | < 0.001 |
| 1900 | 0 | 27 | 0.00 | 0 | 0.13 | 0.043 |
| 1910 | 0 | 110 | 0.00 | 0 | 0.03 | < 0.001 |
| 1920 | 0 | 61 | 0.00 | 0 | 0.06 | < 0.001 |
| 1930 | 0 | 172 | 0.00 | 0 | 0.02 | < 0.001 |
| 1940 | 1 | 209 | 0.48 | < 0.01 | 0.03 | < 0.001 |
| 1950 | 2 | 261 | 0.77 | < 0.01 | 0.03 | < 0.001 |
| 1960 | 5 | 191 | 2.62 | < 0.01 | 0.06 | < 0.001 |
| 1970 | 4 | 179 | 2.23 | < 0.01 | 0.06 | < 0.001 |
| 1980 | 12 | 218 | 5.50 | 0.03 | 0.09 | < 0.001 |
| 1990 | 15 | 228 | 6.58 | 0.04 | 0.11 | < 0.001 |
| 2000 | 17 | 138 | 12.32 | 0.07 | 0.19 | < 0.001 |
| 2010 | 2 | 38 | 5.26 | < 0.01 | 0.18 | 0.011 |
| Total | 58 | 1894 | 3.06 |
Museum specimens collected in California. Pr(no Bd) is the probability of finding no Bd-positive samples in each decade (based on a binomial distribution) if Bd was actually present with a prevalence of 11% (as seen in enzootic state for over a century in Talley et al. 2015).
*Based on a binomial distribution with a “true” probability of 0.11 (95% confidence interval)
Linear regression output.
Environmental factors and their relationship to Bd presence.
| Variables | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 |
|---|---|---|---|---|---|
| Snout to Vent Length | X | X | X | X | X |
| Elevation (+) | X | X | X | X | X |
| Mean precipitation (+) | X | X | X | X | X |
| Precipitation of driest quarter (-) | X | X | X | X | X |
| Mean actual evapotranspiration (-) | X | X | X | X | X |
| Max temperature of warmest month | X | ||||
| Min temperature of coldest month | X | X | |||
| Annual mean temperature | X | X | X | ||
| Railways | X | ||||
| AIC | -6680.91 | -6680.87 | -6680.55 | -6679.47 | -6678.21 |
| Δ AIC | 0.04 | 0.33 | 1.07 | 1.26 | NA |
(+) indicate a positive relationship between factor and Bd presence
(-) indicate a negative relationship between factor and Bd presence
The model with the lowest AIC value (1st model) was considered the best fit model.