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Parasites in a hotspot: diversity and specificity patterns of apicomplexans infecting reptiles from the Socotra Archipelago

Published online by Cambridge University Press:  19 October 2020

Beatriz Tomé
Affiliation:
CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, 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
João Maia
Affiliation:
CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, 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 IBE, Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Passeig Marítim de la Barceloneta, Barcelona, Spain
Ana Perera
Affiliation:
CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Campus de Vairão, Rua Padre Armando Quintas 4485-661, Vairão, Portugal
Salvador Carranza
Affiliation:
IBE, Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Passeig Marítim de la Barceloneta, Barcelona, Spain
Raquel Vasconcelos*
Affiliation:
CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Campus de Vairão, Rua Padre Armando Quintas 4485-661, Vairão, Portugal IBE, Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Passeig Marítim de la Barceloneta, Barcelona, Spain
*
Author for correspondence: Raquel Vasconcelos, E-mail: raquel.vasconcelos@cibio.up.pt

Abstract

Although parasites represent a major component of biodiversity, they remain poorly assessed, especially in remote regions. In this study, we screened 461 reptiles from Socotra, the largest and most biologically diverse archipelago in Arabia. Using 18S rRNA primers, we detected various apicomplexan parasites, namely haemogregarines, sarcocystids and eimeriids. Haemogregarines were the most common and genetically diverse, followed by sarcocystids (genus Sarcocystis) and eimeriids (genera Isospora and Lankesterella). All were related to parasites of other reptiles, including species from Arabia, Northern Africa and Asia. Like their 29 endemic reptile hosts, almost all Socotran parasites presented high genetic divergence and ecological differences from those found elsewhere, and probably represent undescribed endemic species. Among hosts, skinks were the most parasitized, which contrasted with similar studies from other areas, probably due to their more generalist diet and habitat use. As expected due to its high species richness, geckos harboured the highest parasite diversity in the archipelago. Parasite diversity also seemed to be correlated to island size, as the largest island harboured most haplotypes. This study emphasizes the importance of screening parasites in wild hosts from remote regions and of considering host ecology to understand disease transmission across taxa.

Information

Type
Research Article
Copyright
Copyright © The Author(s) 2020. Published by Cambridge University Press
Figure 0

Fig. 1. Geographic location of the Socotra Archipelago and distribution of the reptiles screened for parasites for this study, including infected and non-infected hosts. Three groups of parasites were detected: haemogregarines (squares), sarcocystids (diamonds) and eimeriids (triangles). Colours indicate the parasite haplotypes identified based on the 18S rRNA gene. It should be noted that some points might overlap, please check Supplementary Table S1 for further information on the location of haplotypes.

Figure 1

Table 1. List of reptile taxa screened for the three groups of apicomplexan parasites in the Socotra Archipelago

Figure 2

Fig. 2. Tree derived from a Bayesian Inference analysis of haemogregarine 18S rRNA gene sequences. Bayesian Posterior probabilities are given above relevant nodes and bootstrap values for ML below them (only values over 70% are shown). New sequences from this study are identified in bold, larger font size and by different colours, the same as in Fig. 1. The full list of the sequences used can be found in Supplementary Table S3. Identification of the lineages marked with *  was based on Karadjian et al. (2015), but see Maia et al. (2016).

Figure 3

Table 2. Details on the seven haemogregarine haplotypes (h1–h7) detected in this study

Figure 4

Fig. 3. Tree derived from a Maximum Likelihood analysis of sarcocystid 18S rRNA gene sequences. Bayesian Posterior probabilities are given above relevant nodes and bootstrap values for ML below them (only values over 70% are shown). New sequences from this study are identified in bold, larger font size and by different colours, the same as in Fig. 1. The full list of the sequences used can be found in Supplementary Table S4.

Figure 5

Table 3. Estimates of evolutionary divergence between sarcocystid haplotypes (h) for three genes

Figure 6

Fig. 4. Tree derived from a Bayesian Inference analysis of eimeriid 18S rRNA gene sequences. Bayesian Posterior probabilities are given above relevant nodes and bootstrap values for ML below them (only values over 70% are shown). New sequences from this study are identified in bold, larger font size and by different colours, the same as in Fig. 1. The full list of the sequences used can be found in Supplementary Table S5.

Supplementary material: File

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