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Shared haemogregarine infections in competing lacertids

Published online by Cambridge University Press:  28 September 2021

Urban Dajčman
Affiliation:
Biotechnical Faculty of the University of Ljubljana, Jamnikarjeva 101, 1000 Ljubljana, Slovenia
Miguel A. Carretero
Affiliation:
CIBIO, InBIO – Research Network in Biodiversity and Evolutionary Biology, Universidade do Porto, Campus de Vairão, Rua Padre Armando Quintas, 4485-661 Vairão, Portugal Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal
Rodrigo Megía-Palma
Affiliation:
CIBIO, InBIO – Research Network in Biodiversity and Evolutionary Biology, Universidade do Porto, Campus de Vairão, Rua Padre Armando Quintas, 4485-661 Vairão, Portugal Department of Biomedicine and Biotechnology, Universidad de Alcalá, Parasitology Area, School of Pharmacy, 28805, Alcalá de Henares, Spain
Ana Perera
Affiliation:
CIBIO, InBIO – Research Network in Biodiversity and Evolutionary Biology, Universidade do Porto, Campus de Vairão, Rua Padre Armando Quintas, 4485-661 Vairão, Portugal
Rok Kostanjšek
Affiliation:
Biotechnical Faculty of the University of Ljubljana, Jamnikarjeva 101, 1000 Ljubljana, Slovenia
Anamarija Žagar*
Affiliation:
CIBIO, InBIO – Research Network in Biodiversity and Evolutionary Biology, Universidade do Porto, Campus de Vairão, Rua Padre Armando Quintas, 4485-661 Vairão, Portugal Department of Organisms and Ecosystem Research, National Institute of Biology, Večna pot 111, SI-1000 Ljubljana, Slovenia
*
Author for correspondence: Anamarija Žagar, E-mail: anamarija.zagar@nib.si

Abstract

In parasite–host interactions host species may differ in their ability to fight parasitic infections, while other ecological interactions, including competition, may differentially alter their physiological state, making them even more susceptible to parasites. In this study, we analyse the haemogregarine blood parasites infecting two competing lizard species, Iberolacerta horvathi and Podarcis muralis, and explore host–parasite relationships under different host competition scenarios. Both species were infected with haemogregarine parasites belonging to the genus Karyolysus. Using the 18S rRNA gene, six new Karyolysus haplotypes were identified clustering with other Central and Eastern European samples, and widely shared between both lizard hosts. Haemogregarine infections were detected at all sampled sites with over 50% of individuals parasitized. Overall, I. horvathi was more frequently and also more intensely parasitized than P. muralis, with higher infection rates observed in syntopy. Males of both species tended to be more frequently infected and showed a higher infection intensity than conspecific females. The results suggest that parasitisation by haemogregarines may be relevant in the dynamics of the competitive relationship between these lizard species. More studies, including immunological response analysis, and the identification of the vectors are needed to better understand host–parasite relationships and competition.

Information

Type
Research Article
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press
Figure 0

Fig. 1. (A) Phylogenetic tree of the Karyolysus group. Order of information from left to right: accession number, parasite genus, host species and country of sample origin. New haplotypes from our samples are coloured by haplotype and shown on the map. Node support values are shown for main branches where Bayesian posterior probabilities <1. (B) Map of newly obtained haplotypes. *Marks syntopic locations.

Figure 1

Fig. 2. Map of sampled locations with a prevalence of infection (pie charts; ratios of infected individuals) and level of parasite intensity (dots around the circle correspond to the individual sample).

Figure 2

Fig. 3. Parasite prevalence expressed as the percentage of infected individuals for predictors included in the final models. (A) Prevalence by sex and species. (B) Prevalence by log10 transformed SVL values. Infected individuals marked in red.

Figure 3

Fig. 4. Parasite intensity expressed as the logarithm of 1 + number of infected cells for predictors included in the final model by syntopy, species and sex. Outliers in grey.

Figure 4

Table 1. Table of descriptive statistics of prevalence and intensity of parasites for categorical predictors used in the final models.

Figure 5

Table 2. Results of automatic multi model inference using model averaging from candidate models.

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