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. 2015 Dec 14;10(12):e0144477.
doi: 10.1371/journal.pone.0144477. eCollection 2015.

Physiological Status Drives Metabolic Rate in Mediterranean Geckos Infected with Pentastomes

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Physiological Status Drives Metabolic Rate in Mediterranean Geckos Infected with Pentastomes

Isabel C Caballero et al. PLoS One. .

Abstract

Negative effects of parasites on their hosts are well documented, but the proximate mechanisms by which parasites reduce their host's fitness are poorly understood. For example, it has been suggested that parasites might be energetically demanding. However, a recent meta-analysis suggests that they have statistically insignificant effects on host resting metabolic rate (RMR). It is possible, though, that energetic costs associated with parasites are only manifested during and/or following periods of activity. Here, we measured CO2 production (a surrogate for metabolism) in Mediterranean geckos (Hemidactylus turcicus) infected with a lung parasite, the pentastome Raillietiella indica, under two physiological conditions: rested and recently active. In rested geckos, there was a negative, but non-significant association between the number of pentastomes (i.e., infection intensity) and CO2 production. In recently active geckos (chased for 3 minutes), we recorded CO2 production from its maximum value until it declined to a stationary phase. We analyzed this decline as a 3 phase function (initial decline, secondary decline, stationary). Geckos that were recently active showed, in the secondary phase, a significant decrease in CO2 production as pentastome intensity increased. Moreover, duration of the secondary phase showed a significant positive association with the number of pentastomes. These results suggest that the intensity of pentastome load exerts a weak effect on the metabolism of resting geckos, but a strong physiological effect on geckos that have recently been active; we speculate this occurs via mechanical constraints on breathing. Our results provide a potential mechanism by which pentastomes can reduce gecko fitness.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Relationship between mass and number of pentastomes versus log (VCO2) production for rested geckos.
Partial regression plots (y axis: residuals of regressing the response variable on the explanatory variables, but omitting the explanatory variable of interest, and x axis: residuals of each explanatory variable of interest regressed on all remaining explanatory variables) of (a) the relationship of log (gecko mass) to log (VCO2), given the effect of number of pentastomes, (n = 48); and (b) the relationship of number of pentastomes to log (VCO2) given the effect of log (gecko mass). Minimal regression model for the rested gecko experiment: log (VCO2) = (1.023 × log (gecko mass))–(0.005 × number of pentastomes)– 2.465; model adjusted R 2 = 0.2093.
Fig 2
Fig 2. Relationship between mass versus VCO2 production in stationary phase (p 0) for recently active geckos.
Partial regression plot (y axis: residuals of regressing the response variable on the explanatory variables, but omitting the explanatory variable of interest, and x axis: residuals of each explanatory variable of interest regressed on all remaining explanatory variables) of the relationship of gecko mass to VCO2 produced in stationary phase (p 0) for recently active geckos (n = 70) given the effect of population. Minimal regression model for recently active geckos: VCO2 (p 0) = (0.390 × gecko mass)– 0.101; model adjusted R 2 = 0.8239.
Fig 3
Fig 3. Relationship between mass and number of pentastomes versus VCO2 production in secondary phase (p 3) for recently active geckos.
Partial regression plots (y axis: residuals of regressing the response variable on the explanatory variables, but omitting the explanatory variable of interest, and x axis: residuals of each explanatory variable of interest regressed on all remaining explanatory variables) of (a) the relationship of gecko mass to VCO2 produced in secondary phase (p 3) for recently active geckos (n = 70) given the effect of number of pentastomes and mites, and (b) the relationship of number of pentastomes to CO2 produced given the effect of gecko mass (g) and mites. Minimal regression model for recently active geckos: VCO2 (p 3) = (1.411 × gecko mass)–(0.033 × number of pentastomes)–(0.063 × number of mites) + 0.141; model adjusted R 2 = 0.7649.
Fig 4
Fig 4. Relationship between time in secondary phase (p 4) versus number of pentastomes for recently active geckos.
Minimal regression model for recently active geckos (n = 70): log (time in stationary phase) (p 4) = (0.013 × number of pentastomes) + 6.164; model adjusted R 2 = 0.1424. Note log scale used on y-axis.

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