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Temperature during the free-living phase of an ectoparasite influences the emergence pattern of the infective phase

Published online by Cambridge University Press:  22 July 2013

M. AMAT-VALERO*
Affiliation:
Departamento de Ecología Funcional y Evolutiva, Estación Experimental de Zonas Áridas (EEZA-CSIC), Ctra. Sacramento s/n, La Cañada de San Urbano, 04120 Almería, Spain
M. A. CALERO-TORRALBO
Affiliation:
Departamento de Ecología Funcional y Evolutiva, Estación Experimental de Zonas Áridas (EEZA-CSIC), Ctra. Sacramento s/n, La Cañada de San Urbano, 04120 Almería, Spain
F. VALERA
Affiliation:
Departamento de Ecología Funcional y Evolutiva, Estación Experimental de Zonas Áridas (EEZA-CSIC), Ctra. Sacramento s/n, La Cañada de San Urbano, 04120 Almería, Spain
*
*Corresponding author: Departamento de Ecología Funcional y Evolutiva, Estación Experimental de Zonas Áridas (EEZA-CSIC), Ctra. Sacramento s/n, La Cañada de San Urbano, 04120 Almería, Spain. E-mail: amat@eeza.csic.es
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Summary

Understanding the population dynamics and co-evolution of host–parasite systems requires detailed knowledge of their phenology which, in turn, requires a deep knowledge of the effect of abiotic factors on the life cycles of organisms. Temperature is known to be a key environmental influence that participates in the regulation of diapause. Yet, not much is known about the effect of temperature on the free-living stages of true parasites and how it may influence host–parasite interactions. Here we experimentally study the effect of ambient temperature on overwintering pupae of Carnus hemapterus (Diptera, Carnidae), an ectoparasitic fly of various bird species. We also test whether chilling is a prerequisite for completion of diapause in this species. In the course of three winter seasons we experimentally exposed carnid pupae from nests of various host species to spring temperatures with and without chilling and recorded the emergence patterns in experimental and control groups. Experimental groups showed an advanced emergence date, a lower emergence rate and, consequently, a protracted emergence period. Chilling had no obvious effect on the start of emergence but it did advance the mean emergence date, shortened the length of the emergence period when compared with the control treatment and increased the emergence rate when compared with the spring treatment. This study identifies an environmental cue, namely temperature during the free-living stage, affecting the emergence of a widespread parasite and demonstrates the plasticity of diapause in this parasite. Our findings are of potential significance in understanding host–parasite interactions.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2013 
Figure 0

Table 1. Sampling effort: number of samples collected from different hosts and locations for each experimental treatment. The number of samples yielding carnid flies in each experimental group (control, spring and chilling+spring) and the range of emerged flies are also shown for each experiment (except for samples collected in 2008, see text)

Figure 1

Fig. 1. Experimental design of the study. For each experiment year, host species and sampling date are given. For each treatment sample size (in brackets), and details of the manipulation (dates, setting and environmental conditions) are given.

Figure 2

Table 2. Mean (±s.e.) temperature and humidity in experimental and control subsamples in all three procedures for the period when the experimental subsamples were under laboratory conditions until emergence of the first fly in any subsample (in parentheses)

Figure 3

Table 3. Prevalence and abundance of control and experimental subsamples in each experiment. Differences in prevalence were tested by means of Exact unconditional tests (for 2008–2009 and 2009–2010 data) and Fisher's exact test (for 2010–2011). Abundance data were tested by means of Wilcoxon test (2009–2010) and repeated measures ANOVA (2010–2011 data). Means and s.e. are shown (sample size in parentheses)

Figure 4

Table 4. Date of first and last emergence (1 = 1 January) of carnid flies and length of the emergence period in each experiment. T-tests for dependent samples (2008–2009), Wilcoxon tests (2009–2010) and repeated measures ANOVAs (2010–2011) were used. Means and s.e. are shown; coefficients of variation are in square brackets and sample sizes in parentheses. When sphericity is not met, Adjusted P values referring to the Greenhouse–Geisser corrected probability are shown for each repeated measures ANOVA test

Figure 5

Fig. 2. Mean weekly percentage of emergence (±SE) of carnid flies in experimental and control subsamples in 2009–2010 (week 1 = 12–19 February, week 18 = 3–10 June) (n = 5 subsamples for each group).

Figure 6

Fig. 3. Mean weekly percentage of emergence (±SE) of carnid flies in experimental and control subsamples in 2010–2011 (week 1 = 3–9 January, week 30 = 25–31 July) (n = 10 subsamples for each group).

Figure 7

Fig. 4. Lineal regressions of the mean (±SE) weekly cumulative emergence (in %) curves of experimental and control subsamples in 2009–2010 (week 1 = 15–21 February, week 13 = 3–9 May). Sample size is 5 nests for each subsample.

Figure 8

Fig. 5. Lineal regression of the mean (±SE) weekly cumulative emergence (in %) curves of experimental and control subsamples in 2010–2011 (week 1 = 28 February–6 March, week 14 = 30 May–5 June). Sample size is 17 nests for both chilling and spring subsamples and 13 nests for control subsamples.